Science Policy Note: General Principles for Performing Aggregate Exposure and Risk Assessments

July 28, 2003
ISBN: 0-662-34521-5
Cat. No.: H113-13/2003-4E-PDF
(SPN2003-04)

Executive Summary

Aggregate exposure and risk assessments involve the analysis of exposure to a single chemical by multiple pathways and routes of exposure. The pathways of exposure considered in this general principles document include the potential for pesticide residues in food and drinking water, as well as residues from pesticide use in residential, non-occupational environments. The pathway of exposure refers to how human behavioural patterns potentially interact with pesticides in the environment. All potential, relevant routes of exposure (oral, dermal, inhalation) and pathways (through food, drinking water and residential use) are analysed within an aggregate exposure assessment.

The U.S. Environmental Protection Agency (EPA) identified a preliminary aggregation policy in a document commonly known as the Interim Guidance (U.S. EPA, 1997e), for use in assessing aggregate exposure and risk using a mix of data as point estimates and data in a distributional form. According to the Interim Guidance, most frequently the "high-end" or "upper-bound" point estimates from the drinking water and residential exposure pathways are added to an estimate of food ingestion exposure from food (for acute exposures, generally the 99.9th percentile of the distribution of daily exposures). The current document (Aggregate General Principles, or AGP) describes principles to guide the way in which aggregate exposure and risk assessment may be performed when more extensive distribution data and more sophisticated exposure assessment methods and tools are available. This document discusses the use of distributional data for all pathways of exposure when data are available. A distributional data analysis (as opposed to a point estimate approach) is preferred because this allows an aggregate exposure assessor to more fully evaluate exposure and resulting risk across the entire population, not just the exposure of a single, high-end individual.

Aggregate General Principles encourages assessment techniques which, using a combination of data, models, and reasonable judgements, represent each potentially exposed "individual" in the population over calendar time. This approach can generate reasonable estimates of risks across a population only if the exposure parameters associated with each hypothetical individual are coherent, consistent, and logical. This means the hypothetical individual's temporal, spatial, demographic and behavioural exposure characteristics should be consistent and reasonable for each type of individual, for each day in the assessment, over all days in the assessment. The use of distributional data sets which comprise the aggregate exposures to many individuals in the population of interest and the principle that the individual's aggregate exposure be consistent in temporal, spatial and demographic characteristics are two central components to aggregate exposure and risk as presented in this document. Using this approach, the Pest Management Regulatory Agency (PMRA) and others in the risk assessment community can move toward using a distribution of total aggregate exposures to many types of individuals potentially exposed in a population of interest.

The PMRA anticipates that, as the scientific community conducts aggregate exposure and risk assessments following the principles in this document, new data sets and new models will be developed. It is important that the quality and representativeness of any new data sets be evaluated, and that the details of any new models be transparent, including key assumptions. The PMRA may revise and reissue this document periodically to reflect progress in improving aggregate risk assessment methodologies or changes made in response to peer review or public comment.

The AGP document is one of a series of documents that the PMRA is issuing with specific emphasis on addressing new facets of the risk assessment process. This document is not meant to be comprehensive or to be interpreted as a prescriptive approach. Rather, it articulates broad principles for consideration in the design of an aggregate risk assessment for a particular pesticide. AGP relies on background information from several U.S. EPA publications, notably the General Principles for Performing Aggregate Exposure and Risk Assessments (U.S. EPA, 2001c). The PMRA is proposing to harmonize with this EPA policy to provide guidance and information to PMRA personnel and decision-makers, and to the public. As a guidance document, the policy in AGP describes the approach used by PMRA scientists when conducting aggregate exposure assessments. Other factors, especially the exposure scenarios and the extent and quality of data, will also influence significantly the specific approach. Stakeholders remain free to comment on the application of the policy to individual pesticides.

The PMRA expects to update this science policy paper in the future, as necessary, to reflect significant developments in the scientific approach or policy positions that affect how the PMRA performs aggregate risk assessments.

Table of Contents

1.0 Introduction

1.1 Scope and organization of document

This document, referred to herein as Aggregate General Principles (AGP), describes the overall framework and the general principles for performing an aggregate exposure and risk assessment. Aggregate exposure and risk assessments involve the analysis of exposure to a single chemical by multiple pathways (e.g., food, drinking water, and residential uses) and routes (ingestion, dermal, and inhalation).

In this document, the PMRA proposes an approach to assessing aggregate exposure and risk for the total population. This approach relies on characterizing a large, representative group comprised of hypothetical, potentially exposed "individuals," where an "individual" is represented by a set of data or scientific judgements brought together from a variety of data sources. For example, an assessor may use currently available data sources such as the U.S. Census or the United States Department of Agriculture's (USDA) Continuing Survey of Food Intakes by Individuals (CSFII) (USDA, 1992), which provide characteristics of each survey respondent, e.g., gender, geographic location, time of interview, food consumption. This information on an "individual" can be used to match other exposure-related characteristics from other databases or data sources back to the individual, such as probability of application of a pesticide in the home or likelihood of being served by a community water system. As this process of identification and combination of data sources proceeds and is refined, assessors will be able to combine and connect data sets or other reasonable judgements together to represent coordinated descriptions of potentially exposed hypothetical "individuals."

There are a number of acknowledged limitations to this approach. For example, there is currently a limited amount of data and information concerning residential exposure or standard methodologies for matching characteristics to ensure the assembly of a reasonably representative population, or collection of "individuals." The policy in AGP does not fully investigate the data needed to describe the interdependencies and linkages between and among pathways of possible exposure. The PMRA realizes that the investigation is ongoing and that further work in this area will improve and refine aggregate exposure analyses.

It is also important to note that risk assessment and risk management are considered separate activities. Risk assessment involves the determination of the hazard potential, dose-response relationship, exposure potential of pesticides in the environment, and quantitative or qualitative characterization of risk. Risk management relates to the ways in which those risks may be mitigated or eliminated and includes such tools as maximum residue limit (MRL) revocation, changes to the agricultural or residential use pattern, or the application of requirements that those who apply the pesticide are trained in riskreducing procedures.

The PMRA acknowledges that exposures to pesticides may also occur from nonpesticidal uses of chemicals, e.g., in household products such as soap, toothpaste or paint. However, at this time, the tools and methods available to estimate such exposures are extremely limited. The PMRA will work to develop science policy detailing the way in which aggregate exposure assessments may be performed for pesticidal uses and the data needed to make the assessments. At this time, data are limited for exposure estimation, and, therefore, risk assessments for non-pesticidal uses of pesticide chemicals are conducted on a case-by-case basis. Although this paper does not directly address the aggregate-assessment of non-pesticidal uses of pesticide chemicals, the PMRA sees no intrinsic limitations which would prevent the described methodology from being adapted to include exposure from non-pesticidal chemicals in an aggregate exposure assessment.

This document is organized to present an overview of aggregate exposure and risk assessment concepts. It gives a brief introduction to the scope and organization of the document in Section I. Section II provides a description of current practices and data sources used in conducting aggregate exposure analysis, including an explanation of the combination of probabilistic (food pathway only at this time) and deterministic types of analysis. This section includes a pathway-specific set of comments on important points concerning the current methods for performing aggregate exposure and risk assessments. Section III provides a general framework and set of key concepts for possible refinements to aggregate exposure and risk assessment. Pathway-specific considerations based upon these revised general principles are also examined in this section. Section IV presents a standard procedure for performing aggregate exposure and risk assessments, expanding upon the Interim Guidance (USEPA, 1997e). Following this section, there are recommendations for future data and research needs (Section V), as well as an acknowledgment of the limitations in conducting aggregate exposure assessments (Section VI). The last section of the document, Section VII, describes approaches to model validation and verification, an important part of evaluating aggregate exposure and risk assessments, as assumptions embedded in any model or method, and uncertainties and variability in the input data, can be significant to the outcome of the assessment.

This document explains the definition and implementation of aggregate exposure analysis at the PMRA. The pursuit of information, methods, and results of aggregate exposure assessment allows the PMRA to realistically determine and evaluate the potential exposure of individuals to pesticides in the environment. The PMRA strongly believes that these methods will substantially improve the protection of public health, especially infants and children. Nonetheless, this guidance document for performing aggregate exposure and risk assessments is not meant to be comprehensive or to be interpreted as a prescriptive approach. The PMRA will evaluate other methods or models developed to assess aggregate exposure. However, the framework, principles, and contents of the steps presented in this document should be considered in any aggregate exposure and risk assessment.

2.0 Data inputs for aggregate exposure assessment and methods of aggregation

In the past, when performing risk assessments, the PMRA has treated exposures to pesticides from different pathways as independent events, i.e., the PMRA only analysed each individual's exposure to one pesticide via a single pathway. In reality, however, exposures to pesticides do not occur as single, isolated events, but rather as a series of sequential or concurrent events that may overlap or be linked in time and space.

The PMRA will determine its approach to the assessment of each pesticide's aggregate exposure and risk on a case-by-case basis. The PMRA will always start with estimates of exposure from each relevant pathway-food, drinking water, and residential. As necessary, to determine whether potential exposures are acceptable, the PMRA may perform multiple aggregate exposure assessments to refine exposure estimates. To the extent data permit, there are two basic ways to refine an assessment: employ more, accurate data on exposure, and conduct more sophisticated analysis of the data.

The initial aggregate risk assessment uses available data (which may be limited in scope), together with assumptions designed to be protective of public health and standard analytical methods, to produce a separate estimate of exposure to a pesticide, for a highly exposed subgroup of the general population, for each potential pathway and route of exposure. Then, the PMRA calculates potential aggregate exposure and risk by combining point estimates that reflect an upper bound or high end of exposure for each route/pathway. The assumption implicit in this approach is that individuals could encounter the high-end exposures from different pathways at the same time and place. The PMRA believes, however, that the co-occurrence of high-end food, drinking water and residential exposure scenarios will often be impossible or, at best, highly unlikely. For example, infants typically experience higher food and water exposures, while adults applying residential use pesticides account for many of the high-end residential exposures. Although temporal and geographic co-occurrence of high food and water residues with residential use patterns involving high exposure is theoretically possible, the PMRA thinks it is demographically unlikely because infants do not apply pesticides and adults do not have the same food and water consumption patterns as children. In other words, there will be very few, if any, people who actually experience the high levels of exposure estimated by simply adding the high-end values for each pathway. Thus, using this methodology, the PMRA is confident that the combined point estimates will overstate, sometimes significantly, the potential exposure that the vast majority of the general population group actually receives. The degree of overestimation decreases, however, as the refinement of the individual pathway exposure estimates improve. The primary advantage of highly conservative, deterministic assessments is that they require relatively fewer data and analytical resources, and less time to conduct. Often, an aggregate risk assessment of this type is sufficient to demonstrate that proposed and approved pesticide uses are acceptable.

If the initial aggregate exposure assessment suggests that the proposed and approved uses of the pesticide may have unacceptable risks, it may be possible to refine the initial aggregate risk assessment. In the past, the PMRA's approach was to refine the estimates of the exposure by one or more of the different pathways; such refinements typically require considerable additional data. For example, the PMRA might use a point estimate from a Tier 3 Food analysis in place of a value taken from a Tier 2 Food assessment. Or, the PMRA might develop residential exposure estimates using appropriately representative biomonitoring data instead of the values generated by using the draft; residential standard operating procedures (SOPs) (USEPA, 1997a). In effect, the refinements allow the PMRA to provide a more accurate aggregate exposure assessment, and the refinements may show that estimated exposure would be acceptable.

Alternatively, the PMRA could analyse the available data in a different manner, i.e., by using probabilistic techniques to combine exposures by different pathways. In order to combine exposure estimates across pathways using probabilistic techniques, the PMRA would need the capability of portraying exposure via each pathway as a distribution of potential exposures in the population. This is possible only when the PMRA has a representative distribution of data for one or more of the critical input values in the pathway exposure assessment, e.g., a database showing the distribution of pesticide residues in surface water or information on the application rate and frequency of use of a residential pesticide.

The following subsections present an overview of the methods used to assess exposure to pesticides by different pathways-in food, in drinking water, and from residential use. The ideas presented can be considered to apply to any aggregate exposure and risk assessment, regardless of the level of sophistication of the method of aggregation. Relevant points from the toxicological endpoint selection process are also described since pathways and routes are only aggregated when they share a common toxic effect. This information is presented since it is important to first fully understand the data sources, model capabilities and limitations, and robustness of data available for each of the three pathways of exposure. As the level of sophistication of aggregation increases, i.e., refinements, data input types and methods may also be augmented in quality and quantity.

2.1 Deterministic versus probabilistic treatment of data in aggregate exposure

Before considering the ways in which aggregate exposure and risk are currently assessed and data inputs are derived, it is important to understand deterministic and probabilistic treatment of data. A deterministic approach uses a point estimate from a data set, e.g., a single maximum value or an average value, to represent an input variable in the exposure model. This approach does not consider the range of potential exposures incurred by members of a population and does not describe the potential or probability of exposure to individuals within a population. Rather, the deterministic approach produces an output value that represents the potential exposure or risk of a group; depending on how the estimate was generated, the output value may reflect a "central tendency," a "high end," or an "upper bound." In contrast, a probabilistic approach uses the full range of the data and produces a distribution of exposure values as an output.

2.2 Aggregate exposure and risk assessment: current practice

The Interim USEPA Guidance (USEPA, 1997e) described five general durations of exposure used for the different pathways under consideration. They were: acute (relevant for one-day exposure scenarios specific to the food and water pathways, and reflects distribution of daily food consumption and daily water residue values); short-term (relevant for one- to 30-day exposure scenarios, which assumes average food and average water exposure and combines this with exposures specific to short-term residential pathway); intermediate-term (relevant for 30- to 180-day exposure scenarios, which assumes average food and average water exposure and combines this with exposures specific to intermediate-term residential pathway); chronic/long-term (average food and average water exposures combined with relevant residential exposures for aggregate exposures for greater than six months in duration); and cancer (average food and average water and residential exposures relevant for lifetime assessment) using the Q1* approach. Note, however, that the relevant period applied to each term of exposure may differ from the durations identified above based on the nature and results of the toxicology studies available (see the section on toxicological endpoint selection, Section C, below).

The PMRA's current approach to assessing aggregate risk is in transition. The methodology currently used for aggregate risk assessment varies with each specific chemical and depends on the types of use patterns for the pesticide, the extent and quality of data available, and the level of refinement needed for the assessment. In general, the PMRA's aggregate assessments incorporate exposures by all pathways-food, water and residential-and consider, as appropriate, multiple time-frames. In addition, to the extent possible, the PMRA combines the available exposure information using probabilistic techniques. Under current practice, exposure scenarios which result in negligible exposure may be considered for elimination from the assessment. However, this would be done cautiously because the final total exposure may be the accumulation of many small exposures from many pathways. Resources might be saved by excluding unimportant exposure scenarios or pathways (e.g., those that do not contribute appreciably to the total "exposure") from full probabilistic analyses or from further analyses altogether. This concept is not meant to be used to minimize potential exposures but to conserve resources to investigate those potentially most significant. Unimportant parameters may be excluded from full probabilistic treatment, and for important parameters, empirical distributions or parametric distributions may be used. In all cases however, the PMRA believes that numerical experiments should be conducted to determine the sensitivity of the output to different parameters and assumptions.

2.3 Toxicological endpoint selection: current practice

The proper selection of the hazard endpoint for each route of exposure is essential to the accurate performance of aggregate exposure assessment. In general, an aggregate risk assessment should match the anticipated route of exposure with appropriate toxicity studies performed by the same route. When assessing exposures from food and drinking water, the oral route is of concern and, therefore, an oral toxicity study is appropriate for use in defining the hazard endpoint. When reviewing exposure potential from the residential (non-occupational) use of a pesticide, exposure may occur by the oral, dermal, or inhalation routes, or by some combination of the three routes. Toxicity studies by these routes would be optimal. Where route-specific data are not available, route-to-route extrapolation may be necessary.

In addition to the selection of an appropriate hazard endpoint for each route of exposure (e.g., oral, dermal, inhalation), an aggregate risk assessment should attempt to match the anticipated frequency and duration of exposure with toxicity studies that reflect comparable timing of exposure. For example, if an effect occurs only after several days of chemical dosing (of animals), it would be inappropriate to compare the estimated exposure over a single day with the exposure associated with an effect which requires multiple days to develop. Rather, a sustained period of continued exposure, among other things, would be necessary to indicate that there is a potential for an adverse effect in humans. Similarly, a toxic effect that is established following a single dose or one day's exposure may prescribe that exposure be evaluated over the time period of a single day. As appropriate, the matching of hazard endpoints and exposure patterns will include consideration of available data on pharmacokinetics and internal dose. The PMRA anticipates that multiple aggregate exposure and risk assessments may be performed per chemical under review based upon different toxicological endpoints evaluated.

2.4 Food exposure assessments: current practice

Food consumption data are provided by the USDA from its Continuing Survey of Food Intakes by Individuals, or CSFII. The USDA has been conducting such food surveys since the 1930s by means of personal interviews in which interviewers ask individuals, who are selected statistically, to recall everything they ate and drank over the previous 24 hours.

In the late 1970s, Health Canada (HC) and the USDA conducted National Food Consumption Surveys, which were large and comprehensive surveys that sampled thousands of households to learn about what, and how much, people ate.

Over the course of the last 20+ years, people's dietary habits have changed and the public health community has become more concerned with the unique patterns of children's exposure to pesticides through their diets. In 1993, the U.S. National Academy of Sciences (NAS) raised the concern that current food consumption data do not provide sufficient sample sizes to adequately estimate exposure to pesticide residues in the diets of children (NAS, 1993). In 1996, the Food Quality Protection Act (FQPA) directed the USDA to "conduct surveys to document dietary exposure to pesticides among infants and children."

As a result of these concerns and changes in dietary habits, the USEPA and the USDA have been working to update the food consumption information by periodically conducting the CSFII. This food survey data is also used by the PMRA since Canadian and American eating habits have been shown to be similar. In the next several months, the PMRA and the USEPA will start using the latest CSFII information, that of a 1994-1996 survey, including 1998 data collected through a Children's Supplemental Survey, which was conducted to collect more information on what infants and young children eat.

Data on the residues of pesticides in foods are obtained from a variety of sources. Traditionally, the primary source of residue data in foods has been field trial data which must be submitted in support of the registration and re-evaluation of a pesticide. These data overestimate the residues that are likely to occur in food as actually consumed because they reflect the maximum application rate and shortest preharvest interval allowed by the label. Not all food is treated at the maximum rate or shortest preharvest interval, in fact, many foods may not be treated with any pesticide at all. Data that are more reflective of residues on foods as consumed are often available from monitoring data in which food samples are obtained closer to the dinner table in the chain of commerce. These data may come from federally conducted Canadian and U.S. surveys such as the Agriculture and Agri-Food Canada (AAFC) monitoring program conducted by the Canadian Food Inspection Agency (CFIA), Pesticide Data Program (PDP) conducted by the USDA, and the U.S. Food and Drug Administration (FDA) Surveillance Monitoring data or from market basket studies that are typically performed by registrants. These data generally provide a better characterization of pesticide residues in or on foods consumed by the general population.

Food exposure scenarios are typically evaluated for multiple time-frames: acute (one-day), chronic (several months to several years), and, in the event a pesticide has carcinogenic potential, lifetime exposure. When estimating exposure for both acute and chronic time-frames, the PMRA uses a series of refinements to reduce over-estimations and to better reflect the actual exposure. Advancing through the refinement process requires additional use-related information, and other data for each commodity. In most cases, refinements may be possible for some proportion of the commodities undergoing evaluation, but not for others. In such cases, deterministic estimates may be made for some food commodities in the assessment and more refined probabilistic assessments using distributional data sets may be used for other commodities and combined with the point estimates from deterministic assessments.

The approach to refining acute or chronic dietary risk assessments (DRAs) is outlined in a previously released policy document (Health Canada, 2002b). For acute DRAs, the PMRA defines Tiers 1 and 2 as using pesticide residue data on foods as point estimates in a deterministic assessment and Tiers 3 and 4 using distributions of pesticide residue data in a probabilistic assessment. A Tier 1, or initial range of refinement, uses a single, high-end, point residue estimate (e.g., MRL) and a distribution of consumption data to provide a single, upper-bound (worst-case) point estimate of acute exposure. Tier 2 is the same as Tier 1, except that it uses a single, average residue data point (point estimate) for commodities which are typically mixed or blended. It provides a more realistic estimation of exposure than Tier 1 by considering average anticipated residues for food forms that are typically widely mixed or blended prior to consumption (e.g., corn oil from field corn). Tier 3 uses a distribution of residue data points (adjusted to include true zero values to reflect the percent of crop which is not treated), as well as a distribution of consumption data points. Tier 4 requires even more extensive data than Tier 3 (e.g., single-serving market basket surveys, cooking studies, etc.), but provides the most representative, accurate exposure picture.

Chronic food exposure and risk assessments may also be refined to produce better estimates. All tiers of the chronic assessment produce estimates of dietary risk which are based on average consumption of foods (which may be categorized by population and age and other subgroups) and average residue concentrations in specific foods. Chronic assessments currently conducted by the PMRA are deterministic. Tier 1 of a chronic food exposure and risk assessment uses maximum residue limits for the magnitude of the residue and assumes that 100% of the crop is treated. Tier 2 is the same as a Tier 1 chronic food assessment, but the estimated national percentage of the crop treated is incorporated into the assessment. Tier 3 uses average residues from field and livestock trials or monitoring data, incorporates the estimated percentage of the crop which is treated and incorporates commercial processing factors. A Tier 4 food exposure and risk assessment may use any combination of market basket survey data (as average residue values) and incorporate cooking, residue decline, and residue degradation information, if available (Health Canada, 2002b).

2.5 Drinking water exposure assessments: current practice

To estimate aggregate exposure to pesticide residues in drinking water, the PMRA uses the general policy outlined in the USEPA guidance documents on drinking water exposure (USEPA, 1999a; 2000a). The registered uses and the potential for a pesticide to contaminate surface and ground waters are considered initially. If the use pattern and potential to contaminate water resources are such that there is no reasonable likelihood of transport to or contact with surface or ground waters, the PMRA concludes the pesticide is not likely to impact drinking water residues, and exposure and risk to the pesticide in water are not included in the aggregate assessment. For example, this would be the case for pesticides exclusively registered as baits and pesticides with import MRLs only.

If a pesticide has any potential to contaminate water resources based on use patterns, the PMRA uses water exposure models to estimate the concentration of the pesticide that could run off into surface water or leach into shallow groundwater. The concentration estimates generated from the models are considered to be upper bounds on pesticide concentrations in drinking water obtained from surface and groundwater sources. The PMRA then calculates a drinking water level of comparison (DWLOC), which is the highest concentration of a pesticide in drinking water that would be acceptable (i.e., produce total exposure equal to the reference dose), considering the estimated exposure to that pesticide from other sources (i.e., food and residential uses). Upper-bound estimates (over-estimates) of water consumption are used for infants, children and adults. Separate DWLOCs are calculated for different exposure durations and age groups where warranted, e.g., for acute (one-day), or for chronic (long-term) exposures.

The PMRA compares the model-generated concentration estimates for a pesticide in ground- and surface water to the DWLOC. If the model-estimated concentrations in ground- and surface waters are less than the DWLOC, the PMRA concludes with reasonable certainty that residues of the pesticide in drinking water from present uses do not contribute towards an aggregate level of exposure (food and water) that exceeds a risk level of concern. If the model estimates are greater than the PMRA's levels of comparison for drinking water (DWLOC), the PMRA refines its model estimates using more realistic information/assumptions and compares the refined estimates to levels of comparison for drinking water again (USEPA, 2000a). If the model-estimated water concentrations still exceed the PMRA's levels of comparison (DWLOC) for the pesticide in drinking water, the PMRA may require water quality monitoring data for the pesticide, and conduct an in-depth review of the data to determine if they are acceptable and reliable for use in quantitative drinking water exposure and risk assessment. For products under re-evaluation, the PMRA considers all available monitoring data in conjunction with the modelling data to come up with potential exposures (Health Canada, 2003).

Some of the data sources reviewed include: (1) prospective monitoring studies designed to track a pesticide's movement into surface or groundwater from the point of application; (2) retrospective monitoring studies designed to provide information on general pesticides occurrence; and (3) provincial drinking water (wells and tap) surveys. If the monitoring data are suitable, they may be used to calculate aggregate exposure for use in a human health risk assessment. Average annual and maximum (peak) or high-end concentration values (point estimates) from localized monitoring data for the pesticide may be used in deterministic chronic and acute exposure assessments, as appropriate, i.e., usually average values are used in assessments concerned with exposures greater than one day, and maximum or high-end values are used in exposure assessments of one day's duration.

If the available water quality models' estimates are equal to or exceed the PMRA's DWLOC, and no appropriate monitoring data are available, the PMRA considers the entire risk picture for the pesticide and determines the appropriate action. That is, if exposure to the pesticide is above levels of concern from food and residential exposures, and drinking water impacts are indicated to be potentially significant by the model estimates, a risk management decision may include a requirement for monitoring data to assess the pesticide's presence in drinking water, or various other risk management options. Also, for those pesticides that fail the screening Tiers and require detailed risk assessments, the preferred approach to the dietary (food + drinking water) portion of an aggregate exposure assessment is to combine monitoring drinking water concentrations with food residue distributions into a single, probabilistic dietary exposure assessment.

2.6 Residential exposure assessments: current practice

Currently, the PMRA uses the draft "Standard Operating Procedures (SOPs) for Residential Exposure Assessments" (commonly known as the Draft Residential SOPs) (USEPA, 1997a) and the Science Advisory Council's recommended revisions (USEPA, 2001a) as guidance for conducting estimates of residential exposure. These SOPs identify common (approximately 13) pesticide use patterns/use sites (e.g., treatment of residential lawns, garden plants, etc.) that result in residential exposures. Each of these residential activity/use sites is further divided into handler and post-application categories. ("Handler" exposures may occur when individuals mix, load, or apply a pesticide; individuals could incur "post-application" exposure either as bystanders affected by the application of a pesticide or when they enter a treated site.) These are further divided by age group (e.g., adult, toddler, etc.), route (oral, inhalation, dermal), and specific activity (e.g., incidental ingestion of soil, incidental ingestion from hand-to-mouth transfer). As an example, the left-hand side of Figure 1 illustrates these pathways and routes for residential lawns. These SOPs produce a point estimate of exposure for each assessed scenario.

The basic steps in performing a residential assessment are as follows: identify formulations, application rates, and sites of application (from labels); identify method of application; determine magnitude of exposure by route for the applicator; identify post-application exposure scenarios; determine magnitude of post-application exposures (accounting for overall residues and dissipation); determine duration of exposure (short-term, intermediate-term, and long-term).

Additional details on the residential analytical methods, assumptions, and default values are described in the Draft Residential SOPs (USEPA, 1997a). Note that the SOPs are undergoing revision and will be released in an updated form. Useful data for residential assessments are available from several sources.

Other sources include proprietary data submitted to the PMRA to support residential uses of pesticides, and in a few cases published studies. However, for most non-dietary exposure assessments, surrogate data and screening-level (Tier I) assessments presented in the Draft Residential SOPs (USEPA, 1997a) will be used. If the estimates of residential exposure in combination with estimates of food exposure exceed the reference dose (RfD), the PMRA determines the appropriate regulatory action. That is, if the aggregate food and residential exposure is a health concern for a pesticide, a risk management decision may include a requirement for additional data or various other risk management options to reduce risk to acceptable levels.

Figure 1: Some Pathways and Routes to be Considered in an Aggregate Exposure and Risk Assessment

Text description

This figure demonstrates that the aggregate exposure and risk assessment considers 3 pathways: residential, drinking water, and food.  The routes of exposure for each pathway are indicated.

The residential exposure assessment is further divided into 13 use patterns/use sites: residential lawns, garden plants, trees, swimming pools, painting and wood preservative treatments, fogging, crack and crevice and broadcast treatment, pet treatment, detergent/hand soap, impregnated materials, termiticides, rodenticides, and pick your own. As an example, the residential activity/use site for residential lawns is further divided into handler and post-application categories. For handlers, exposure from inhalation and dermal routes is considered for the adult population. For post-application, the dermal exposure route is considered for the adult population. For post-application exposure to toddlers, incidental ingestion of pesticides from hand to mouth transfer and incidental ingestion of soil from pesticides treated in residential areas are considered.  For all other residential use patterns/use sites, refer to the Standard operating procedures for Residential Exposure assessments for Handler and Post-application exposure scenarios.

The drinking water pathway considers the dermal and inhalation route of exposure.

The food pathway considers the oral route of exposure.

3.0 Framework for expanded aggregate exposure and risk assessment

This section details some of the specific characteristics of the revised (expanded) general principles. This document is meant to provide a framework for future aggregate exposure and risk assessment. Future assessments should be based on assessing exposure to an individual in the population and then assessing exposure to the population (or subpopulation) as a whole. This section describes the key concepts and definitions that are important to understanding the expanded approach to aggregate exposure and risk assessment. Since pesticides are used in a wide variety of ways in numerous locations, there is no simple approach to describing which exposure scenarios should comprise a group of individual aggregate exposure estimates nor any universal standard for the types and quality of data required for any set of given exposure scenarios. Therefore, exposure analysts are expected to take into appropriate consideration many case-specific pieces of information and employ suitable judgement concerning the use of data in the development of aggregate exposure and risk assessments. Consequently, a specific step-by-step set of instructions is not presented.

While current and revised practices for performing aggregate exposure and risk assessment use the same data sources and inputs, the same data quality standards, and the same pathways of aggregation (food, drinking water and residential), these general principles describe new ways to frame the data and to combine data from existing sources. Generally, the PMRA envisions that the aggregate exposure assessment process begins with the identification of the toxicological endpoint(s) of concern for a particular chemical assessment; proceeds toward the identification of possible exposure scenarios (e.g., based upon label use patterns) and assigns certain toxicological endpoints for each route of exposure of concern in the aggregate assessment; and, finally, defines a series of hypothetical, potentially exposed "individuals" by bringing together data sets or a series of professional judgements relating to the aggregate exposure assessment under consideration (toxicological endpoint, duration of exposure, exposure scenario). This is done by appropriately combining information about a potentially exposed "individual's" demographic (e.g., age, gender and racial/ethnic background), temporal (season), and spatial (region of the country) characteristics throughout the analysis in a manner which maintains the consistency of the individual.

In this way, the analysis is not limited to individuals with only certain predefined characteristics, but rather utilizes data representing the entire distribution of possibly exposed "individuals" to develop not only the "average" or the "high-end" exposure value ("individual" as a point in time and space), but the entire distribution for evaluation. It is important to note that this document does not suggest the use of any one particular percentile of aggregate exposure for use in regulatory decision-making, e.g., 95th percentile of exposure. The PMRA will review all data included in an aggregate exposure and risk assessment and determine, on a case-by-case basis, the percentile of exposure to be used in making regulatory decisions for a particular chemical.

3.1 Expanded method of aggregation and key concepts of revised approach

The revised approach to aggregate exposure and risk assessment focuses on the potential exposure to a single chemical by multiple routes to individuals in a population. A fundamental difference between the current and revised approach to aggregate exposure assessment is the principle that exposure occurs to each individual in the population, individual by individual, and that significant variation or differences among individuals based on exposure-related characteristics such as age, gender, and geographic location should be captured in an aggregate assessment. The expanded approach will consider consistent spatial, temporal, and demographic/behavioural factors as well as linkages among product uses and overlapping exposures in developing a population-based distribution of individual exposures. By probabilistically considering these exposures on an individual-by-individual basis, combining these exposures into a population-based distribution, and examining exposures to individuals on a collective basis, the risk assessor is able to provide the risk manager with more realistic information on the distribution of exposures in the total population and the characteristics of and reasons behind any high-end exposure estimates.

Under this new, expanded approach, aggregate exposure assessment is performed by identifying a series of scenarios which are defined in part by a series of characteristics of time, space, activity pattern that also describe a subgroup of the general population who will experience exposure to a pesticide. These exposure scenarios should correspond to the exposure durations deemed to be of significance in light of the toxicity data available for the pesticide. The identification of realistic individual-focussed exposure scenarios helps prospectively to define populations of concern, and provide critical windows within time-frames and routes of exposure that will be linked to toxicity endpoints. By focussing on the individual and then the population (or subpopulation) of individuals, an assessor builds the aggregate analysis which considers jointly the multitude of temporal-spatial, demographic, and other factors that, together, determine the exposure profiles of individuals, both singly and collectively.

3.1.1 Exposure to the individual

The basic concept underlying aggregate exposure assessments is that exposure occurs on an individual-by-individual basis. Since an individual may only be in one place at a time and engage in only one series of behaviours at a time, the revised approach recognizes that estimates of an individual's exposure should reflect consistent spatial, temporal, and behavioural and demographic characteristics. As such, the revised approach should better ensure that exposures agree in temporal, spatial and demographic characteristics, and should avoid creating an exposure situation which makes little logical or practical sense. The revised approach recognizes that exposures to an individual in a population: (1) may occur by more than one route (i.e., oral, dermal and inhalation); (2) may originate from more than one source or pathway (i.e., food, drinking water, and residential); (3) may occur within a time-frame that corresponds to the period of exposure required in an appropriately designed toxicity study to elicit an adverse toxicological effect; (4) should occur at a spatially relevant set of locations that correspond to an individual's potential exposure; and (5) should be consistent with the individual's demographic and behavioural attributes. It is important that the consistency of the data concerning the hypothetically exposed individual be maintained throughout the aggregate exposure assessment within the limitations deemed necessary by the risk assessor. The aggregate intake values should reflect, to the extent useful to characterize significant variability, the food, drinking water, and residential exposure estimates for the same hypothetical individual at the same time, in the same place, and using the same demographic and behavioural characteristics. The exposures assigned to an individual should be internally consistent and appropriately reflect the dependencies and linkages that are inherent under different temporal and spatial exposure scenarios. In other words, when useful to characterize significant differences in potential exposure, the aggregation should be simultaneously temporally, spatially, and demographically specific, i.e., characteristics of the hypothetical individual should agree in time, place, and demographic and behaviour factors (ILSI, 1998a). By "individual", the PMRA is referring to a consistent set of characteristics, based on data and realistic judgements which reflect potential aggregate exposure for each type of person, over time. This concept is illustrated in the matrix in Figure 2 which shows examples of various dimensions which should be considered in developing a hypothetical individual for aggregate exposure modelling purposes.

In assessing aggregate exposure, each of the individual "sub-assessments" should be linked back to the same hypothetical individual. In other words, each of the "sub-assessments" investigating the food, drinking water and residential pathways of exposure must apply to the same "individual" and it is these individual-based "sub-assessments" which are subsequently aggregated into a population-based aggregate exposure assessment. As such, aggregate exposure estimates should provide a description of the distributional exposures received by individuals across the Canadian population from all potential pathways.

It is important to note that the "individuals" are not selected or chosen using some criteria or scheme under this new, expanded approach, but rather the "individual" is seen as the modelling basis from which to begin the aggregate exposure assessment. Thus, when using the phrase "calculated on an 'individual-by-individual' basis" when referring to exposures, the PMRA does not mean to perform calculations for specific, identified, real individuals. Rather, the PMRA means to develop estimates of exposure for "hypothetical individuals", each of whom represent a realistic member of the Canadian population. The attributes of hypothetical individuals that are considered in the revised document are summarized in Figure 2. The PMRA generally does not support selecting only certain subsets of individuals, either the most highly exposed or the average individual, but instead seeks to utilize all available data to assess aggregate exposure to the total population. By combining data sources and using reasonable professional judgement, the PMRA intends to prepare enough individual assessments that the collective group, in total, will provide a reasonably accurate characterization of the distribution of exposure across the entire exposed population.

Figure 2: Exposure to an Individual in the Population
Example(s) of Individual Characteristics Dimension Correlation for an Individual in the Population
Person's Age Temporal Age correlates with body weight/height, consumption pattern (record), inhalation rate
Season of the Year drinking water consumption and residential pesticide application pattern consistent with season of year
Location and type of home (urban area, region of country) Spatial drinking water estimates consistent with region of country (rural or municipal water supply)
residential pesticide usage likely for region of country
Gender Demographic reproductive status consistent with age
personal preferences, behaviors, and characteristics consistent with data on home pesticide usage and type of home

Individual Example. A hypothetical individual who is part of a population of concern in an aggregate exposure and risk assessment might be a one-year old female, in New Brunswick, during the winter, in a rural location without municipal water (on rural well water), whose food consumption is selected from the range of records for the age one-year old, and who encounters residential pesticide use (exposure) consistent with a rural New Brunswick location in winter. She does not apply home pesticides, but may come in contact with pesticides by crawling on the floor. Body weight, height, surface area, inhalation and other biological determinants are consistent for a one-year old.

3.1.2 Calendar-based approach, exposure interval and event correlation

In developing a detailed exposure assessment to individuals in a population for a single chemical with a variety of use patterns, the assessment ideally should estimate the daily exposure of an individual to the exposure from each source on any given day. A calendar-based approach provides the ability to estimate daily exposures over time (and from multiple sources) to an individual on an individual-by-individual basis and is in keeping with a basic tenet of aggregate risk assessment that exposures, when aggregated, be consistent and realistic. Importantly, this approach permits the inclusion of exposures due to the presence of residual pesticides from applications on previous days. Carry-over is particularly important in the evaluation of pesticides used in and around residences and similar sites. Residential application of a pesticide may occur on a single day, but exposures may continue for several days following application as the product degrades in the residential environment. Each succeeding day following application is anticipated to result in a decreased exposure until the level returns to pre-treatment event levels. Multi-day exposures of this type can be reflected in a calendar-based model in the form of decay curves which model the decline in pesticide residues on the initial day over the next several days of the modelled year. For example, if a homeowner uses an indoor fogger on one day to treat a roach problem, the inhabitants may also receive exposures on subsequent days as the pesticide is distributed in the house. As the pesticide decays with time, subsequent exposures (on subsequent days) from this application would decline as well, but a calendar-based approach does not preclude a second or subsequent applications from subsequently occurring and "adding to" exposures from previous applications.

In addition, an adequate calendar-based assessment should appropriately incorporate linkages or correlations/associations (which can be either positive or negative) between exposure scenarios. For example, in some cases the use of one product may affect the likelihood of using another product. This might be true with respect to products used for flea control: an indoor fogger, lawn care product, and a flea product for a pet might be more likely to be used simultaneously by a homeowner performing an integrated treatment for fleas. In other cases, the products may serve essentially the same purpose, such that the use of one will almost certainly preclude the use of the other. In the same vein, if a homeowner uses an indoor fogger on one day, he or she is unlikely to use a fogger on the following day.

In addition to linkages in time, linkages can be extended to spatial aspects as well. For example, places of residence can be linked or otherwise correlated to a type of water source. It is much more likely, for example, that a residence located in a rural site in Prince Edward Island will have a private well as a source of the household water supply than a residence in an urban location in South Western Ontario. In this case, the location of the residence can be linked through the use of existing data with the source of the water supply to appropriately incorporate real-world situations and ensure that unrealistic or unlikely combinations are appropriately discounted.

Finally, a calendar-based approach can allow the risk assessment to correlate exposure with a toxicologically relevant period of the exposed individual's life span. Occasionally, toxicology studies may identify a toxic effect that uniquely affects one gender or people in a specific age range. The calendar-based system allows the risk assessor to focus and evaluate on the differences in exposures that occur at any critical life stages. Various computer software programs have been, or are being, developed, including Calendex™, LifeLine™, CARES™, and SHEDS™. Each incorporates a calendar-based approach to estimating aggregate exposures. The developers of these programs have presented their programs for review by the USEPA Science Advisory Panel (USEPA, 2000f; USEPA, 2001a; USEPA, 2002b; USEPA, 2002a). These models use a variety of data including generic data, chemical-specific information, and default assumptions as necessary.

3.1.3 Relevant toxicological information

One critical concept which is described in both the USEPA Interim Aggregate Guidance and this revised document is the relationship between the scope of an aggregate exposure assessment and the toxicity profile of a pesticide. First, it is important that an individual's exposure be matched with relevant toxicological doses in terms of route, duration, and effect. Moreover, it is appropriate to combine exposures occurring by different pathways/routes only when the toxicological endpoints for the pathways/routes are related with respect to target organ and nature of adverse effect.

Toxicological endpoints must be matched with an appropriate exposure duration to perform an aggregate risk analysis. Exposure scenarios without associated, measured toxicological endpoints can be included in an aggregate assessment through use of extrapolation methods which have been reviewed and approved by the PMRA (i.e., route-to-route extrapolation). The mode of action of the toxicological effect must be the same across routes of exposure for this to be legitimately performed. In some cases, however, the toxic effects are markedly different by one route and duration from those produced by a different route and duration. To produce an aggregate risk estimate in situations in which it is not appropriate to aggregate exposures due to differing toxicological effects, risk measures should be calculated separately for each route and duration for a given toxic effect for each hypothetical "individual," and then combined to characterize the distribution of exposure for the total population. In these situations, multiple aggregate assessments may be performed for a single chemical of interest if the relevant toxicological endpoints for all routes/pathways are not the same. When that is the case, a separate aggregate assessment is then performed for each toxic effect of concern.

3.1.4 Rolling time window of exposure

The calendar-based approach discussed in III.A.2. provides new avenues for incorporation of toxicological data by permitting the use of "rolling time-frames" of varying length to examine the entire spectrum of likely exposures for periods of exposure that exceed the safe level for the appropriate toxicity endpoint. The "rolling time-frame" of exposure refers to a technique for calculating a series of sequential calendar-based averages which attempts to better reflect the dosing regimes used to determine the toxicological estimates. For example, if the toxicologically relevant duration of exposure is a week, the initial value for a seven-day rolling average would include exposure values from January 1 through January 7, and the 2nd set of values would include exposure values for January 2nd through January 8th , etc. Each of the 365 available rolling seven-day periods for the year would be examined by moving the start date by one day on each pass. A calendar-based rolling average provides the PMRA with a much more realistic representation of exposure over time and with greater flexibility in matching the human exposure duration with toxicological effects from animal studies. For example, in the case of a toxicity study that measures effects following a seven-day dosing period, it could be appropriate to consider exposure expressed on a "seven-day rolling time-frame" basis.

The use of a rolling time-frame approach will allow for more detailed use of toxicological data than today's methods and better incorporates the time-frame associated with the dosing which produces a toxic effect. The PMRA currently selects multiple toxicological endpoints for pesticides to reflect a variety of time-frames (acute and chronic for the food pathway and short-term, intermediate-term, and long-term for the residential pathway) and routes of exposure (oral, dermal and inhalation). The use of a rolling time-frame approach is expected to make it less necessary for the time-frames of the exposure assessments to be "force-fit" into the time-frames associated with the dosing during the toxicological studies on which the risk assessments are based. With the aggregate exposure and risk assessment methods described herein, a series of short-term exposures could be matched with a developmental or reproductive effect which may occur only during critical periods because aggregate exposure and risk assessment includes use of a rolling time window of exposure. When an aggregate assessment is conducted using a calendar-based approach, the results of the assessment can be considered in a manner similar to Figure 3 which demonstrates the relationship between duration of exposure and toxicology endpoint for three pathway-specific exposure distributions (food, drinking water, and residential) and the total exposure distribution when an acute endpoint is selected. Here, the magnitude of daily exposures indicated on the y-axis and time is plotted on the x-axis. In these examples, the potential for an exposure value which exceeds the reference dose is determined by comparing the magnitude of daily exposure to a toxicological endpoint such as an acute or short-term reference dose, depending upon the toxicological data available for a chemical. Determination of which endpoint should be used for comparison is based upon the duration and route of the exposure.

Investigating these exposure profiles in detail, the noticeable "spike" in the second and fourth graph can reflect a change in drinking water exposure. In these graphs, there is an increased exposure to the compound of interest, but the increase persists for only one or two days. The appropriate comparison would be to the acute reference dose (ARfD) which is exceeded in both the second and fourth graphs in Figure 3. Comparison to the short-term endpoint would be inappropriate because the duration of the increased exposure relative to background exposure is of insufficient duration according to the definition of short-term exposure. The opposite case occurs in the Residential Exposure example, the third graph in Figure 3. Here, the increased exposure occurs for several days in a row, during which time the short-term reference dose is exceeded. Comparison to the ARfD would be not be appropriate in this case according to the definition of acute exposure which is one day or less. The final graph is an illustration of the possible results from an aggregate assessment combining all three pathways of exposure. Here, the proximate relationship between the two episodic exposures and the over-layering of the background food exposure means that a number of time-based toxicological criteria (e.g., ARfD, short-term margin of exposure or MOE) can be calculated. In this case, a potential concern for acute exposure exists from drinking water exposure (during which time the ARfD is clearly exceeded).The concern for the short-term exposure from the residential scenario also remains.

However, an added complexity is introduced in this example of aggregate scenarios because a constant exposure to the compound continues in the time interval between the two episodic exposures. This intervening exposure represents the combination of the background food and water exposures and is roughly half the short-term reference dose. The short-term reference dose is clearly exceeded during the period of elevated drinking water exposure. If the short-term effect of concern is not clearly reversible within the one day between the drinking water exposure and the introduction of the residential exposure, this entire series of exposures would be treated as a single, continuous exposure for the purposes of risk assessment. If the effect of concern is reversible within the one-day time-frame, the exposures can be treated as discrete events. Through aggregate exposure assessment techniques, an assessor may be able to examine in more detail the relationship between the duration of exposure to an individual in a population and the toxicologically significant exposure duration in which an adverse effect may occur. This helps to create a more realistic sense of exposure to individuals in a population.

Figure 3: Pathway-specific and Combined Exposure

Text description

This figure demonstrates the relationship between exposure duration and the toxicology endpoint for three pathway-specific exposure distributions (food, drinking water, and residential) and the total exposure distribution when an acute endpoint is selected. Four area graphs depicting time versus exposure are presented in the figure. The magnitude of daily exposures (mg/kg) is indicated on the y-axis and time (days) is plotted on the x-axis in each graph. In these examples, the potential for an exposure value which exceeds the reference dose is determined by comparing the magnitude of daily exposure to the acute or short-term toxicity endpoint. The acute and short-term toxicity endpoints are shown as horizontal arrows at set exposure magnitudes in the graphs.

In the first graph, food exposure is plotted over time. The magnitude of exposure from food is well below the acute and short-term toxicity endpoints throughout the time duration. There is minimal variation in the food exposure over time.

In the second graph, drinking water exposure is plotted over time. The magnitude of exposure increases during the beginning of the exposure duration (approximately first fifths of the exposure duration if the time duration is divided into five equal intervals) and is reduced significantly for the remaining duration. The high exposure during the first fifths of the exposure duration exceeds the acute and short-term-toxicity endpoint. The exposure for the remaining duration is well below the acute and short-term toxicity endpoint. There is minimal variation in drinking water exposure after the first fifths of the exposure duration.

In the third graph, residential exposure is plotted over time. The residential exposure is zero during the first two fifths of the exposure duration but is observed afterwards. The residential exposure peaks at approximately the midpoint during the exposure duration and is reduced gradually for the remaining duration. The peak residential exposure is just below the acute and short-term toxicity endpoints. There is overall high variability in the residential exposure over time.

In the fourth graph, the total food, drinking water and residential exposure is plotted over time (sum of graph 1, 2, and 3). There is spike (peak) in total exposure in the first fifths of the exposure duration. The total exposure is significantly reduced during the second fifths of the exposure duration. During the third fifths of exposure duration, the exposure is increased to about half the levels from the peak. For the remaining duration, the exposure is gradually reduced over time. The peak total exposure during the first fifths of the exposure duration exceeds the acute and short-term toxicity endpoint. The exposure levels during the second fifths of the exposure duration are below the acute and short-term toxicity endpoint. The exposure levels during third fifths of the exposure duration exceeds the short-term toxicity endpoint but were below the acute toxicity endpoint. The exposure from the remaining duration was below the acute and short-term toxicity endpoint.

3.2 Pathway-specific considerations before aggregation

This section describes pathway-specific issues and issues for consideration when performing aggregate exposure and risk assessment for individuals in a total population. There are a number of specific issues to consider when performing the pathway-specific analysis prior to aggregation which are described in additional detail below.

3.2.1 Food pathway and aggregation

Aggregate exposure scenarios are often developed beginning with the food exposure pathway. Aggregate analysis should be performed on an individual basis in order to maintain the linkages and associations between consumption data and demographic data. Food consumption data files provide very extensive demographic information including region of residence, season, and socioeconomic status of the consumption survey respondents. This information ensures that, by starting with the survey respondents in the CSFII, the risk assessor has a hypothetical population that is representative of the Canadian population. In addition, the demographic data may also be useful in defining likely related residential and drinking water exposure scenarios. Similarly, pesticide use and usage data may be characteristic of or otherwise related to region of residence, and knowledge of characteristic differences related to region may permit development of more refined and focussed individual-based aggregate risk assessments. Regional factors will also be important in selecting the appropriate drinking water data for use in the assessment. Finally, the PMRA notes that starting with the food pathway in developing an aggregate assessment does not mean that it is the most significant contributor to overall risk. Therefore it is important to consider other pathways-water and residential-that may be more significant.

3.2.2 Drinking water pathway and aggregation

Specific issues in aggregating potential exposure to pesticides through drinking water also include spatial, temporal, and treatment-related considerations. The concentration of pesticides in drinking water, and thus exposure, is usually a local or regional phenomenon driven by pesticide use patterns and local hydrological and climatological conditions. Accordingly, it cannot be assumed that exposure to a pesticide in one location of the country will be the same for other locations, and drinking water exposures to pesticides to individuals in a population should be incorporated into aggregate exposure assessments on a localized basis. This step can be accomplished using distinct data sets collected in light of specific pesticide use patterns, when available. However, local data sets are applicable only for that locale, i.e., drinking water concentrations of products used in the prairies, or in the Okanagan Valley, would not be assumed for all individuals across the entire country, but only for individuals who may potentially be exposed in that locale. Also, pesticide impacts on drinking water are often seasonal in nature and are driven by time of application and the weather conditions present shortly after application. Therefore, temporal variation in pesticide concentrations in drinking water should be considered in any individual-based aggregate exposure assessment for drinking water.

The impact of treatment in whatever form (sedimentation, flocculation, chlorination, filtering through granular or powdered activated carbon, etc.) should be considered in any drinking water exposure assessment, where data are available. Municipal drinking water facilities across the nation use a variety of treatment processes in delivering tap water to the public. Drinking water obtained from private wells can be assumed to be mostly untreated. Exposures of individuals to pesticide residues in drinking water should be incorporated into exposure assessments on a local or regional basis. Factoring drinking water exposure into the framework already contemplated for food-related exposures means developing a "person-by-person" approach to estimating drinking water exposure to pesticides over time. Because exposure to pesticides in drinking water is a local or a regional concern, and additionally, because the food portion of the dietary exposure assessment is being done on an individual basis, each hypothetical person included in an aggregate risk assessment should be assigned to a location and a drinking water source consistent with that location.

Once an individual has been associated with a representative drinking water source, the available data should be examined for the occurrence of pesticides in the drinking water source over time. Geographic Information System (GIS) tools, cropping and pesticide use information, fate and transport data, modelling results, monitoring data, and information on the effects of blending and treatment should be used to determine the pesticides most likely to occur in that water source, and potential pesticide concentrations over time. Initially, the PMRA expects to assume that a person would be exposed only to those pesticides that are used in the recharge area of an aquifer for groundwater, or in the watershed of the drinking water source for surface water. An analysis of cropping patterns and pest pressure may be explored to identify likely areas for concentration of effort. The PMRA will continue to move forward in refining the screening-level approach. The PMRA plans to move beyond the screening-level assessment by using distributional data for the drinking water pathways. The PMRA is investigating the incorporation of the full range of data from models such as PRZM/EXAMS as a distribution to permit expression of the full range of predicted values in exposure estimates. The technique is intended to provide a distribution of pesticide concentrations at drinking water intakes prior to treatment that may be used in a probabilistic analysis for drinking water exposure. In this and other ways, the PMRA is moving beyond a screening-level aggregate assessment to incorporate more realistic, quantitative estimates of exposure to pesticides from drinking water.

3.2.3 Residential Pathway and Aggregation

Assessing potential aggregate exposure to pesticides resulting from applications made in and around the home and public places such as playgrounds and playing fields, is also influenced by temporal, spatial, and demographic considerations. In addition, an individual's age and gender attributes may play a significant role when addressing an individual's residential exposure in an aggregate exposure assessment. In general, a decision to use a pesticide depends on a perceived need for control of a certain pest or group of pests. For example, those desiring a weed free lawn are inclined to use an herbicide at different times of the year based on when weed seeds are germinating or shortly after they have emerged. An individual may make a decision to self-treat a lawn or to hire a professional lawn care operator (LCO). Urban houses may be more likely to receive pesticide treatment for chronic pests such as cockroaches on a routine basis. Exposure of young children in any of these environments may be higher than adults because of their unique behaviour (non-dietary ingestion, i.e., hand-to-mouth), increased activity, or greater contact with the surfaces where pesticide applications may have been made. An assessor should attempt to bring together these residential pesticide use scenarios in the form of a representative group of hypothetical individuals, based on data.

Temporal considerations can be identified by focussing on the pest to be treated and whether the application has been made by the resident himself or a professional applicator. Weed control on lawns using broadcast application is typically performed in the spring to control germinating or newly emerging weeds. Insects such as billbugs or sod webworms appear in lawns as the growing season progresses. Summer weed control tends to be accomplished by the use of spot applications either made by the resident using a hand-held sprayer of specific weeds or along patio borders. Professional applicators normally treat weeds during the summer on an "as needed" basis while making routine fertilizer treatments. Most LCOs have an additional trigger on their spray wands to activate the herbicide spray when they run into a weedy spot during the fertilizer treatment. Residents typically have poor knowledge of turf diseases and thus are less likely to use fungicides while professional lawn services are more likely to anticipate disease conditions and make appropriate treatments. Temporal consideration regarding the use of LCOs and the time of the week of application may need to be considered. Typically, treatments are likely to be made by a professional during the work week and by the resident on the weekend. Based on available data, an assessor should link the probability of professional or self-applied residential pesticide use with a hypothetical individual in an aggregate assessment.

Spatial (geographic) considerations can also be identified by focussing on the site/pest considerations. The use of a pesticide may be limited to cool season grasses which are primarily grown in the southern parts of Ontario, Québec and the prairie provinces. For example, the periodic cicada is a problem in Eastern Canada, yet does not occur in Western Canada. Spatial considerations can be made for the characteristics (e.g., location of residence) for each individual in the population.

Applications of pesticides made in and around homes, schools, offices, and other public areas may result in potential exposure via the oral, dermal, and inhalation routes. Consideration of linkage of uses where appropriate is particularly important for residential uses. Linked uses are those in which two products are or may be used in combination, such as dipping a pet and treating the carpet of a flea-infested home, or used in such a way that using one product substantially increases the probability of using a second product. The recognition and maintenance of these potential linkages will be critical in developing realistic estimates of exposures to a hypothetical individual with defined demographic characteristics. At this time, the understanding of patterns of use is limited, although the PMRA is assessing the needs for a survey describing the use practices of the Canadian public. Exposure assessments for residential and other non-occupational sources will focus on those use scenarios outlined in the Draft Residential SOPs (USEPA, 1997a). The patterns of use for pesticides in residential, non-occupational, and institutional settings are highly dependent upon location, season, dwelling type, and a myriad of other factors that impact the behaviour of a potential pesticide user. Where appropriate, an assessor should link residential pesticide use preferences with particular classes or categories of individual, based on data, when performing aggregate exposure assessments. Where data are limited in quantity or are of poor quality, the Draft Residential SOPs should serve as the basis for initial estimates of exposure.

Age/gender/pathway considerations play a role in aggregate assessments related to the behaviour of individuals. Young children may be exposed to more pesticide residues for a variety of reasons. For example, young children engage in more hand-to-mouth activity (non-dietary ingestion) than do adults. Some national surveys of home and garden pesticide usage suggest that more males than females treat lawns, whereas females are more likely to treat the interior of the house. Consideration of data of this type will aid in developing reasonable and realistic aggregate exposure and risk assessment scenarios. To the extent possible, the assessment of residential, non-occupational, and institutional use patterns should characterize seasonal and geographic variations, and associated pest pressures. Residential uses cannot necessarily be assumed to be consistent with or coincide with the large national or broad regional breakouts currently used in the food exposure assessment arena. For instance, a food exposure assessment might cover the entire West Coast region of Canada. However, the coastal regions of British Columbia are more humid and have milder temperatures than would be found in the interior of British Columbia. Thus, residential uses of pesticides would probably differ considerably between these two areas because of differences in pest pressure, even though they are within the same "region". Aggregate risk assessments should reflect use patterns and practices on a scale sufficient to capture the variability in pesticide use, but not so large as to inappropriately dilute real and significant differences.

Demographic considerations may be important for characterization of individuals in the population. For example, urban poor and rural poor may have different pesticide usage patterns based on a greater likelihood of having a vegetable garden or increased likelihood of living in a multifamily dwelling in an urban area. Low income residents in suburban areas may be less likely to hire lawn services than other suburbanites. Those who own homes may be more likely to hire lawn services than those who rent. These demographic considerations can also be considered for each individual in the population.

4.0 Questions to consider when conducting aggregate exposure assessment

These general principles for performing aggregate exposure and risk assessments are not meant to be comprehensive or to be interpreted as a prescriptive approach. The PMRA will also evaluate other methods or models developed to assess aggregate exposure.

However, the framework, principles, and contents of the steps presented in this document should be considered in aggregate exposure and risk assessments. The appropriate means of combining probabilistic exposure estimates from food, drinking water, and residential exposure involves combining exposures for a single chemical from all pathways for each individual (separately) in the population. In other words, aggregate exposure estimates are combined by considering exposures of collections of hypothetical individuals in the population. In this way, the aggregate exposures in a population of individuals (e.g., Canadian population or children aged one to six years old) is a collection (distribution) of exposures of all the individuals in the population. Each individual's aggregate exposure distribution is defined by applying the key concepts presented in Section III. For example, it is not appropriate to derive separate, unlinked, independent distributions of exposed individuals for each pathway of potential exposure, and to then merely sum exposure from each pathway to derive a distribution of aggregate exposure for a population of individuals. The assessor should identify linked individual-specific pathway exposure scenarios that are reasonable and supported by data. In essence, the incorrect approach would place three sets of individuals (or three different populations), which are not connected through logical correlations and linkages of potential exposure, into one population aggregate exposure distribution. In this case, each "individual" would represent a series of illogical and incoherent set of exposures which would not occur in reality. Therefore, it is critical to honour as much as possible the temporal, spatial and demographic data available for each type of hypothetical individual in the population when developing an aggregate exposure assessment of population, and ensure that logically inconsistent combinations are not generated. The distinction between the current practices and the expanded approach should be considered when reviewing Section IV.

Section IV describes the PMRA's practices and the proposed principles which the PMRA intends to use in conducting aggregate exposure and risk assessments. These practices expand upon the Interim Guidance (USEPA, 1997e). These principles and practices are illustrated in the form of "Ten Steps". While the PMRA is not prescribing that these specific steps be implemented in strict accordance with the discussion offered here, the PMRA does expect any aggregate assessment to take the Ten Steps into consideration and explain any deviations from the ideas and principles discussed herein. See Figure 4 for an overview of the sequence of steps to consider in an aggregate exposure and risk assessment.

Figure 4: Ten steps in Performing Aggregate Exposure and Risk Assessment

Text description

This figure is a flow chart which conceptualizes the ten steps required to perform an aggregate exposure and risk assessment.

Step 1 is identifying toxicological endpoints for each potential route and duration. Step 2 is identifying potential exposures for each pathway (constrained by registered use patterns). This step also has three sub-steps that express the relevant pathways of exposure: drinking water, food and residential. Step 3 is reconciling routes and durations of potential exposures with routes and durations of health effects. Step 4 is determining co-occurrence of possible residential exposure scenarios. Step 5 is determining magnitude, frequency, and duration for all pertinent exposure pathway/route combinations. This step also repeats the three pathways of exposure: drinking water, food and residential. Step 6 is determining the data treatment method. Step 7 is assigning route-specific risk metrics. Step 8 is conducting an aggregate exposure and risk assessment. Step 9 is conducting a sensitivity analysis. Step 10 is finalising the aggregate exposure and risk characterization.

4.1 Questions and issues to consider when employing the expanded method of aggregation

1. Identify toxicological parameters (i.e., effect, dose, and duration of dosing), each potential exposure route (i.e., oral, dermal, inhalation),and exposure duration (i.e., acute (one-day), short-term, intermediate-term, and long-term) of interest. The appropriate exposure duration would be selected and identified by consideration of the duration of the health effect (i.e., the reversibility of the effect) and the time to onset of the health effect.

An initial step in performing an aggregate risk assessment is to review all available toxicity data to identify the toxicological endpoints of concern for a particular pesticide active ingredient (a.i.) and their associated parameters (e.g., dose, duration, route, etc.). Generally, for a pesticide, these data include the results of the toxicological data that have been submitted in compliance with the data code (DACO) requirements for the specific use site category, as well as other data. The results of this hazard identification step should influence the subsequent identification of appropriate exposure scenarios which will be impacted by the toxicity profile of the pesticide, especially factors relating to the time to onset of effects and duration of effects or period of reversibility. The toxicity endpoint should match the temporal characteristics of the exposure scenarios identified for inclusion in the assessment. These factors should be evaluated in a coordinated manner to ensure that all appropriate scenarios are accounted for and that all toxicity endpoints of concern are addressed.

If toxicological endpoints are the same, toxicological effects which occur at different dose levels via different routes of exposure should be combined within an aggregate exposure and risk assessment. For example, cholinesterase inhibition may occur from either oral or dermal exposures but at different dose levels. In these situations, conversion to a common risk metric may be needed, in order to combine the routes of exposure (here, oral and dermal). Additional details and steps for combining pathways of exposure and issues to consider while developing route-specific exposure scenarios, and combining exposure scenarios, are provided in Step 7 of this section.

Frequently, there may be more than one toxicological endpoint for a single chemical. If the toxicological effects via different routes of exposure are not the same, then those exposure scenarios should not be combined. For example, if dermal exposure to a pesticide results in cholinesterase inhibition but inhalation exposure causes liver damage, then dermal exposure and inhalation exposure should not be combined in an aggregate assessment since the toxicological effects are different. Here, for example, more than one aggregate exposure and risk assessment can be performed for a single active ingredient, if necessary, in which each endpoint (e.g., cholinesterase inhibition and liver damage) is evaluated separately. Similarly, if a particular pesticide active ingredient elicits a specific toxic effect only following oral administration, and these effects have been adequately assessed via the inhalation and dermal routes and are not seen, only those exposure scenarios which reflect the oral route of exposure would be included in the analysis of this toxicological endpoint. Specifically, in this latter example, only the food pathway, any oral pathway residential exposure scenarios listed in the Draft Residential SOPs, and the drinking water exposure scenarios would be evaluated in the assessment of aggregate exposure and risk.

In addition, routes should only be combined when the duration of exposure and toxic effect of the chemical exposure correspond. For example, it would not be appropriate to combine an exposure by the oral route in which a liver enzyme is inhibited following a one-day exposure with an exposure by the dermal route in which that same enzyme is destroyed following only a long-term exposure. Similarly, if there is no effect seen at the acute dose level, but there is an effect in the long-term (one-year dog study), only the long-term exposure scenario would be evaluated. The time period of exposure needed to produce a toxic effect is determined through critical analysis of the toxicological literature for the chemical of interest. Factors to be considered in evaluating a toxicological endpoint include the type of effect, the dose level, the duration of the exposure, the reversibility of the effect, and the time to onset of the effect. All these considerations will be included in the identification of appropriate exposure scenarios via all pathways (i.e., food, drinking water, and residential) in the analysis of aggregate exposure and risk. An additional factor to be considered when determining the toxicological endpoints of concern for a particular pesticide active ingredient is the potential difference in the toxicity of a pesticide resulting from different routes of exposure. The differences may result from pharmacokinetic factors including rate and degree of absorption, distribution, and potential differences in metabolism. Materials absorbed through the skin may be partially metabolized as they enter the skin. Alternatively, some pesticides may require activation by the liver. The liver may be bypassed when chemicals are absorbed through the lung and skin and therefore exposure via these routes may not result in first-pass bioactivation in the liver. Although both lung and skin each have the capability to metabolize xenobiotics themselves, they also have the capacity to initiate the bioactivation process for metabolism by other organs. The toxicity endpoint may also vary in treatment in the risk assessment depending upon the assumptions made about its interaction with the body. For instance, considerations of threshold may be important for non-cancer endpoints. Although low-dose linearity is typically assumed for cancer, mechanistic research is increasingly providing support for non-linear dose-response for certain cancer effects (e.g., thyroid carcinogenicity via perturbation of thyroid-pituitary axis).

The importance of the duration of exposure on toxicological effect in the evaluation of aggregate exposure is illustrated in Figure 3 above. A single pathway-specific exposure scenario for an individual or group of individuals in the population may not result in a duration of exposure which equals or surpasses the exposure duration which may cause an effect from a specific chemical. However, a combination of exposure scenarios (or, more precisely, their aggregation) for an individual or group of individuals in the population may exceed the exposure duration in which the effect may occur. As illustrated in Figure 3, none of the individual pathways (food, drinking water, or residential), taken separately, exceed the short-term toxicity endpoint for significantly longer than one day, but, when these separate pathways are combined or aggregated (as in the bottom panel of Figure 3) the short-term toxicity endpoint is exceeded for a period of greater than one day and would potentially trigger a concern for short-term exposure.

2. Identify the potential exposure scenarios (including duration and route) for each pathway for each hypothetical individual in the identified population. The universe of potential exposure scenarios should be constructed by first characterizing all proposed and registered use patterns for the chemical. Using bounding estimates and the results of less refined aggregate assessments, identify exposure scenarios, routes, and(or) pathways that would be excluded from the refined assessment because the contribution to aggregate exposure is negligible. Document such decisions.

The starting point for identifying the exposure scenarios for inclusion in an aggregate exposure assessment is the universe of proposed and approved uses for the pesticide. The aggregate assessment should identify all potential pathways and routes by which individuals in any identifiable subpopulation might be exposed to the pesticide. The PMRA is not prescribing any particular methodology to perform aggregate exposure and risk assessment, nor is the PMRA prescribing any specific number of potential exposure scenarios or individuals to include in the assessment. Depending on the proposed and approved uses and use patterns for the chemical, separate scenarios considered may range from a single scenario to dozens of scenarios. The initial identification of potential exposure scenarios may result in a seemingly limitless number of combinations, and performing an aggregate exposure assessment to address all of them could prove extremely difficult or impossible. If so, it may be appropriate to limit the scope of the assessment. The first step in narrowing an aggregate exposure assessment would be to consider the relative contribution to aggregate exposure, and whether the scope of the assessment may be limited by excluding specific routes of exposure within an exposure scenario, specific exposure scenarios, and entire pathways. If (as discussed below) such routes, exposure scenarios, or pathways make only negligible contributions to aggregate exposure, the assessment could exclude them from further quantitative analysis. In addition, it may also be appropriate to limit a refined aggregate exposure assessment to a focus on a specific duration of exposure, e.g., one day or lifetime, because earlier, less refined aggregate exposure assessments have shown that other exposure durations present no risk concerns. In addition to considering the toxicological effect, dose level and duration and timing of effect, the analyst should also consider all proposed or approved uses and use patterns of the pesticide active ingredient in developing realistic aggregate exposure scenarios via all relevant routes of exposure. Evaluating all proposed or approved use patterns will enable the analyst to determine for the food pathway, for example, which crops and crop groups should be considered in the analysis; for the residential pathway, which uses are registered for the chemical and, therefore, which residential application scenarios should be included in the analysis; for the drinking water pathway whether drinking water contamination should be evaluated, and if so, the degree to which localized drinking water assessments, should or can be performed. Of the seemingly limitless combinations of food, drinking water, and residential pathway scenarios which could be developed in an aggregate exposure assessment, a review of the toxicologically appropriate constraints (e.g., the duration of effect) and the proposed or approved uses and use patterns would probably significantly limit the number of aggregate exposure scenarios to be evaluated.

Because of the complexity introduced into the risk assessment process by the multitude of potential exposure scenarios, the identification of the potential aggregate exposure scenarios to be included in the assessment should be preceded by conducting a bounding estimate of all exposure scenarios. This is an important step in determining the scope of the assessment. The bounding process will greatly simplify the data preparation and calculation phases, but will also make the risk characterization process more transparent and useful by permitting the attention of the risk manager to be focussed on the more important aspects of the assessment. A first step in the bounding process is the evaluation of the relative contribution/importance of the various routes and pathways that may be of concern in the final risk estimate. Generally, the PMRA would consider as negligible a particular pathway that contributes less than 1.0% of the total reference dose in the most refined assessment performed, and the PMRA would recommend that such use not be included in a quantitative, refined analysis. Similarly, where a specific exposure scenario contributes less than 0.1% of the reference dose, the PMRA would ordinarily consider such exposure scenario as negligible. No more than 10% of the reference dose should be excluded in this manner. The decision to exclude a pathway or exposure scenario should be made only if the criteria appear to be met for all identifiable subgroups who are potentially exposed. Each such decision should be identified and it should be noted in the risk assessment as extant but not included in the quantitative risk assessment. Similarly, if specific uses make negligible contributions to the risk assessment, or the toxicity by a particular route is low, the uses or routes should be noted in the risk assessment, but not included in the quantitative risk assessment. The rationale for exclusion from the quantitative risk assessment should be explained in each case. At the conclusion of the process, the risk assessment should be transparent regarding what pathways, exposures scenarios, or uses have been excluded from the quantitative analysis and there should be a qualitative analysis of how these exclusions affect the quantitative analysis.

A negligible contribution from a pathway or route can be demonstrated by conducting a bounding estimate for a given pathway. A bounding estimate is one in which several conservative assumptions are combined to provide an estimate of exposure unlikely to be exceeded in actual practice. An example of a bounding estimate for food exposure is a Tier 1 or 2 acute dietary assessment in which the entire crop is assumed to be treated and residues are assumed to be present at tolerance or field trial levels. The actual exposure in the diet is unlikely to exceed this level and in most cases is anticipated to be much lower. For residential exposure assessments, there are no "bounding estimates" per se, but use of the equations defined in the Draft Residential SOPs (USEPA, 1997a) with upper-end and mean values inserted for each of the parameters may provide a reasonable, health protective estimate. The use of surface and groundwater concentrations generated by water quality models as currently used by the PMRA (PRZM/EXAMS and LEACHM) would provide a bounding estimate for comparison to a DWLOC for the drinking water portion of the assessment.

3. Reconcile the routes and duration of potential exposures with the routes and durations of the health effects. Match exposures (by route and duration) with the toxicological endpoints (by route and duration) and then conduct an aggregate risk assessment on the matches only when the integrity of the individual relationship between the endpoint, route and duration is maintained.

Determining which routes (i.e., ingestion, inhalation and dermal) and pathways (i.e., food, drinking water and residential) are to be aggregated is a key decision in the development of an aggregate exposure assessment. Two general factors control this decision process: the toxicologically relevant dose and the potential exposure pattern of the active ingredient. The exposed individual's dose should be matched against a relevant toxicological dose in terms of route, duration, and effect.

The careful evaluation of all route-specific exposure scenarios based on timing of effect and other toxicologically relevant characteristics as well as the registered uses and use patterns, and then the matching of those scenarios based on data that support the combinations further assures the integrity of the aggregate exposure scenarios.

4. Determine which of the possible residential exposure scenarios are likely to occur together (i.e., co-occur within a given time-frame) and which occur independently.

Within the residential exposure pathway there may be multiple possible scenarios, potentially involving exposure via all routes of exposure. Some of those exposure scenarios might be linked or correlated such that the occurrence of one affects the likelihood of the occurrence of another. For example, the use of one product may generally preclude the use of another and a homeowner is unlikely to use more than one type of roach spray to treat a given roach infestation problem. On the other hand, the use of one home pesticide product may indicate the likelihood of another. For example, it is not unusual for a person performing conventional treatment of flea infestation to concomitantly treat the pet with a type of dog dip and to spray for the fleas in the home, so as to completely eliminate the problem and lessen the chance for reoccurrence. These types of codependencies and interrelationships should be evaluated so as to properly discount unlikely and unrealistic combinations of residential exposure scenarios while at the same time appropriately accounting for correlated or linked uses. Marketing data may be available to aid in evaluating these dependencies.

5. Determine magnitude (i.e., exposure concentration), frequency and duration of exposure (i.e., contact) for all pertinent exposure combinations.

To bring together exposure pathways (food, drinking water and residential) for pesticides, the magnitude of exposure and risk needs to be calculated for each pathway/route separately, then a risk value totalled. The pathways/routes to be considered in an aggregate assessment are food/oral; drinking water/oral; and residential/oral, dermal, inhalation. In bringing these pathways together, particular consideration should be given to temporal and spatial issues with regard to the probable overlapping of exposure events from a pesticide through multiple sources of exposure.

Temporal issues include those relating to seasonal variation within an exposure scenario. For example, certain types of behaviour (e.g., lawn care) are unlikely to occur in the cold winter months: data may be available to evaluate the application of a lawn treatment in December in Québec, but such a scenario defies reasonable logic. No such application is likely to take place and, thus, does not merit inclusion in the risk assessment. Similarly, contamination of water by a rapidly metabolized corn herbicide is most likely to occur in the spring and is less likely to occur in the winter months. Thus, aggregation scenarios in which drinking water exposures were involved would probably focus on other exposure scenarios which occur in the spring.

Another temporal aspect which should be considered is the frequency of, and time interval between, exposure events. If a home owner fumigates a house today, it is unlikely that fumigation would be repeated tomorrow. However, residual exposure may continue for the next several days following fumigation although at a reduced level. Spatial considerations include the region of the country and climatic differences that may be anticipated. These differences include allowances for the seasonal differences in temperature that occur depending upon the region. In this example, the impact of a region coincides with temporal considerations. In addition to temporal issues, spatial issues should also be considered. For example, it might be important in evaluating certain exposure scenarios to distinguish between rural versus urban settings. A rural setting is more likely to be associated with a private well as a drinking water source than an urban setting. Similarly, data may show that regional production of fresh market produce is limited to distribution in that region and this may impact the need for a regional dietary assessment especially during peak harvest season requiring that an assessment with a regional focus be performed.

To further illustrate the principle that temporal and spatial issues are relevant and need to be considered within an aggregate exposure assessment, consider two hypothetical individuals - a man living in a single family home in rural central Saskatchewan and a woman living in an apartment in Toronto. The individual in rural Saskatchewan would be more likely to depend on a private well for drinking water, perform his own lawn care throughout much of the year, treat his home several times a year for pests, and eat locally produced food for several months a year. The individual in Toronto depends on municipal drinking water, does not have a private lawn or swimming pool, and lives in an apartment with monthly scheduled pest control service. Based solely on time, place, and demographics it is likely that these two individuals have significantly different potential exposures to a given pesticide. After defining the toxicological endpoint (effect) and route of concern, the assessor should decide upon the appropriate set of residential, food and drinking water exposure assumptions for combining these risk scenarios. The decisions concerning which residential scenarios should be considered in aggregate risk assessments should be made using the scenarios in the Draft Residential SOPs as a basis for primary selection.

6. Determine most appropriate technique (deterministic or probabilistic)for incorporating data into exposure algorithms.

Once input data are collected for exposure variables of interest, several techniques are available for representing these variables. The PMRA has traditionally used a deterministic approach to generate a single estimate of exposure and risk based on expressing all input variables in the exposure algorithm as single values (point estimates). Alternatively, one can use probabilistic techniques to more fully incorporate available information, taking into account the range of possible values that an input variable could take, and weighting these values by their probability of occurrence. Probabilistic techniques acceptable to the PMRA are discussed in another guidance document (USEPA, 1997d). The PMRA anticipates that a probabilistic approach to exposure assessment via all pathways will be possible in the future. The choice of distributions to include as inputs into the aggregate exposure and risk model should always be based on all relevant information (both qualitative and quantitative) available for input. The selection of a distributional form (probabilistic or deterministic) should consider the quality and quantity of the information in the database, and should address broad questions such as the mechanistic basis for choosing a distributional form, the discrete or continuous nature of the variable, and whether the variable is bounded or unbounded. In all cases, input values expressed as a distribution should be fully described (USEPA, 1998c).

Not all input values need, or necessarily should, be expressed as a mathematically-modelled distribution, and probabilistic techniques should be used only on those pathways and exposure patterns which significantly influence the final risk estimate. If an input variable does not significantly affect an exposure estimate regardless of its distribution, then its use in a probability distribution represents marginal value added (USEPA, 1998c). Given this, using both deterministic and distributional data in the aggregate assessment process is acceptable. From a computational standpoint, a probabilistic analysis can include a mix of point estimates and distributions for the input parameters to the exposure model. However, when doing so the risk assessor and risk manager should continually review the basis for "fixing" certain parameters as point values to avoid the perception that these are indeed constants that are not subject to change.

7. Determine the appropriate risk metric to be used in analysis and calculating aggregate exposure and risk.

There are several methods of measuring and aggregating risk for single chemical, multi-route, multi-source assessments. Two aggregation methods are used by the PMRA: the total MOE and the Aggregate Risk Index (ARI). Arithmetically, the two approaches are the same when the uncertainty factors (UF) are the same for all routes of exposure. When the UFs differ by route, however, the ARI is preferred. Note that, for the purpose of this document, UFs include any additional safety factors deemed necessary. The PMRA will continue to employ either the total MOE or the ARI in its aggregate exposure and risk assessments.

Currently, risk assessments in the PMRA are based on the MOE concept. The MOE is calculated by dividing the no observed adverse effect level (NOAEL) from a toxicity study by an appropriate estimate of the level of anticipated exposure. Thus, as a rule, risk increases as the MOE decreases. Each MOE is compared against a composite UF which serves as a standard when ascertaining whether a given hazard is acceptable.

Total MOE (MOET)method:

The following aggregation equation has been used to aggregate "unitless" MOEs into a Total MOE (MOET). This concept was presented to, and endorsed by, FIFRA's Science Advisory Panel (FIFRA SAP, 1997).

Equation 1 MOET = 1 / 1/MOE1 + 1/MOE2 + ... + 1/MOEn

where MOE1, MOE2, . . . , MOEn represent route-specific (e.g., oral, dermal, inhalation) MOEs. To use this equation, all MOEs must have associated with them the same numerical UF (typically 100 for interspecies extrapolation and intraspecies variability), as in this example:

  • Oral: MOE = 100 UF = 100
  • Dermal: MOE = 200 UF = 100
  • Inhalation: MOE = 70 UF = 100

The MOET is always lower than the lowest MOE. The MOET decreases with each additional MOE in the equation because each additional exposure increases the risk. The lowest MOE (the inhalation MOE of 70 in this example) has the most influence on the MOET. The MOET of 34.1 would be a concern because it is less than the acceptable UF of 100. A major deficiency of this method is that it cannot accommodate dissimilar UFs for different pathways and routes.

Equation 2 MOET = 1 / 1/1000 + 1/200D + 1/70I = 34.1

Ideally, route-specific MOEs for each route of exposure should be aggregated. When limitations on the available toxicity data make this approach impossible, data from another route can be substituted although this introduces some degree of error. For example, an inhalation MOE can be calculated by using an oral NOAEL that has been extrapolated to an "equivalent" inhalation NOAEL. Uncertainty could result from using an extrapolation method that does not account for pharmacokinetic differences between the routes, and from assuming that the route with no data will have the same toxic signs as the well characterized route.

Aggregate Risk Index (ARI) method:

The ARI was devised as a way to aggregate MOEs that have dissimilar UFs. MOEs for each route of concern are compared against UFs which reflect the nature, source, and quality of the data, and any concerns that may warrant additional protection, e.g., susceptibility of infants and children. This can result in a variety of UFs such as these:
  Oral Dermal Inhalation
MOE: 300 100 1000
UF: 1000 100 300
MOEs can only be combined if they have a common UF. If the MOE/UF ratios for each route are treated as fractions (as shown above), they can be adjusted to a common denominator of 1. This is accomplished by dividing each MOE by its UF to yield a Risk Index (RI):
  Oral Dermal Inhalation
RI: 0.30 1.0 3.3

The RIs can then be combined to yield an ARI:

Equation 3 ARI = 1 / 1/RI1 + 1/RI2 + ... + 1/RIn

Equation 4 ARI = 1 / 1/0.300 + 1/1.0D + 1/3.3I = 0.22

RIs and ARIs are always compared against 1. This allows for direct comparisons between routes and between chemicals. As a general rule, an RI or ARI greater than or equal to 1 is of little concern, but an RI or ARI less than 1 suggests a risk of concern. In this example, the ARI (0.22) suggests a risk of concern because it is less than 1. The oral exposure has the lowest RI (0.30), so it is the major route of concern.

The ARI is an extension of the MOE concept. As with the MOE, risk increases as the RI or ARI decreases. The ARI method automatically considers each route's potency when route-specific NOAELs are used. The following equation is a simplified way of calculating a chemical's ARI in a single step:

Equation 5 ARI = 1 / UF1/MOE1 + UF2/MOE2 + ... + UFn/MOEn

Oral hazards are usually expressed as the percentage of the reference dose rather than as an MOE. Because the UF for the oral route is used to define the oral reference dose, RfDO, the percent of the reference dose (expressed as a decimal) can be put directly into the equation (assume oral exposure is 330% of the reference dose, i.e., 3.3):

Equation 6 ARI = 1 / %RfD0 + UFD/MOED + UF1/MOE1

Equation 7 ARI = 1 / 3.30 + 100D/100D + 300I/1000I = 0.22

Percentages of reference dose (RfD) and reference concentration (RfC) for all routes may also be aggregated:

Equation 8 ARI = 1 / %RfD0 + %RfDD + %RfC1

8. Conduct analysis to determine the magnitude of exposure and risk for each pertinent exposure pathway. Aggregate, as appropriate, exposure and risk and sum risk. Then aggregate risk for each pathway from all pathways to each individual in the population. Several aggregate exposure and risk assessments may be required for a single active ingredient.

In this step, the aggregate assessment is conducted from information generated in steps 1 to 7 with the appropriate temporal, spatial, and demographic exposure factors correctly assigned and consistently maintained throughout the analysis. In accordance with steps 1 through 7, specific considerations in this "bringing together" include:

  1. time (duration, frequency, and seasonality of exposure; seasonally-based pesticide residues in food; frequency of residential pest control which reflects housing location and type);

  2. place (location and type of home); watershed (size of drinking water facility) or aquifer characteristics (confined or unconfined); region (regionally specific drinking water concentrations of the pesticide being considered); and

  3. demographics (age; gender; gender-and age-specific body weights; reproductive status; ethnicity; personal preferences, behaviours, and characteristics).

All "linkages" of time, space and demographic characteristics should be made using supporting data. Aggregate exposure and risk assessment are first completed for individuals, who are then combined to develop distributions of aggregate exposure and risk to subpopulations and populations.

9. Conduct sensitivity analysis to identify the "driver" or source(s) of risk for each route. Identify scenario(s) of concern such as highly exposed subpopulations by sources.

After performing an aggregate exposure and risk assessment, it may be helpful to also conduct a sensitivity analysis to ascertain the pathway, commodity, exposure scenario, route, or other element of the analysis, which contributes the highest amount to total exposure and risk. Those routes and pathways with the lowest RI pose the greatest risk, and are potential candidates for risk mitigation. Sensitivity analyses can also be performed to learn how changes to input assumptions would change the result. Sensitivity analysis in aggregate exposure and risk assessment is performed by examining characteristics defining high exposure and examining and investigating the differences in total exposure and risk with those exposure contributors of interest modified or eliminated.

A sensitivity analysis can be used to examine the relative contribution of particular routes of exposure or exposure pathways or other exposure scenarios within a pathway. For example, the sensitivity analysis might focus upon which route of exposure contributes the largest portion of the total exposure, which residential scenario of the many that were included in the aggregate analysis is the greatest contributor to exposure, or for the food exposure pathway, which commodity or commodities are the greatest contributors to the total food exposure value. For example, in food exposure assessment, commodities with extensive use, greater consumption reported, and higher concentration of pesticide residue are likely to contribute the largest overall exposure for the food pathway. The inclusion/exclusion of such commodities from the analysis could provide valuable information as to the relative importance of use of this commodity to total exposure and risk. Similarly, a sensitivity analysis may determine whether a refinement has biased exposure to an untenable low level.

With this knowledge, an aggregate exposure and risk assessor may be able to: (1) state for risk management purposes the pathway of exposure which accounts for the greatest proportion of the total estimated risk; (2) recommend where future data gathering efforts might be focussed; or (3) suggest ways in which total exposure and risk could be reduced. Sensitivity analyses are particularly useful in deciding whether or not to elevate a pathway-specific analysis to the next level of data refinement (increasing sophistication of exposure and toxicological data) and therefore consume more resources.

10. Aggregate exposure and risk characterization.

The risk characterization process includes an integrative analysis followed by a risk characterization summary detailing the major results of the risk assessment. The integrative analysis brings together the assessments of hazard, dose-response, and exposure to make risk estimates for the exposure scenarios of interest. The integrative analysis typically identifies the elements of the aggregate analysis which most affect the exposure and risk conclusion for use in decision-making. It is an appraisal of the science that supports the risk manager in making regulatory decisions. Risk characterization reports also indicate where the greatest opportunities for data or methodological improvements may exist.

Risk characterization routinely includes the following points capturing the important items covered in hazard, dose-response, and exposure characterization:

  • primary conclusions about hazard, dose-response, and exposure, including other plausible alternatives,
  • nature of key supporting information and analytical methods,
  • risk estimates and their attendant uncertainties, including use of key assumptions when data are missing or uncertain,
  • statement of the extent of extrapolation of risk estimates from observed data to exposure levels of interest (i.e., MOE) and its implications for certainty or uncertainty in quantifying risk,
  • significant strengths and limitations of the data and analyses, including any major peer reviewers' issues,
  • if appropriate, comparison with similar risk analyses or common risks with which people may be familiar.

The risk characterization should identify all exposure scenarios that are not quantified in the aggregate risk assessment, and discuss qualitatively the possible impact of such exposure scenarios on the results of the risk assessment. Among other scenarios, the characterization should address potential exposures through breast milk and inhalation exposures from pesticide residue in water used for bathing and non-pesticidal uses of the chemical, unless sufficient data support inclusion of the scenario in the quantitative assessment.

Whenever assessing aggregate exposure from different pathways, it is important to characterize potential differences in the uncertainty of each pathway. Estimates of exposure by different pathways are calculated using different inputs: exposure data, assumptions, survey for pathways populations. Therefore, the resulting estimates for pathways may differ in their level of accuracy and representativeness. The risk characterization should consider and discuss, as appropriate, how the inputs relating to populations, exposure data, and default assumptions may influence the relative accuracy of the pathway estimates. Furthermore, the risk characterization should discuss the potential differences in susceptibility of major identifiable subgroups and life stages.

The risk characterization is a valuable part of generating any PMRA report on aggregate risk, whether the report is preliminary to support allocation of resources toward further study, or comprehensive to support regulatory decisions. In the former case, the detail and sophistication of the characterization are appropriately small in scale; in the latter case, appropriately extensive. Also, on the continuum from simple to more sophisticated assessments, default assumptions are used at almost every stage because the database is almost never complete. The use of defaults is predominant at screening stages and is used less as more data are gathered and incorporated. The risk characterization should carefully delineate which issues in a particular assessment are most important.

Transparency in environmental decision-making, clarity in communication, consistency in core assumptions and science policies from case to case, and reasonableness are important elements of risk characterization. While it is appropriate to err on the side of protection of health and the environment in the face of scientific uncertainty, common sense and reasonable application of assumptions and policies are important to avoid unrealistic estimates of risk. Both integrative analyses and the risk characterization summary present an integrated and balanced picture of the analysis of the hazard, dose response, and exposure. The risk characterization should summarize the evidence and results, and describe the quality of available data and the degree of confidence to be placed in the risk estimates. Important features include the constraints of available data and the state of knowledge, significant scientific issues, and significant science and science policy choices that were made when alternative interpretations of data existed. Choices made about using default assumptions or data in the assessment are explicitly discussed in the course of analysis, and if a choice is a significant issue, it is highlighted in the summary.

4.2 Aggregate assessment reporting guidance

For the PMRA to evaluate aggregate risk assessments submitted for consideration, sufficient information must be provided such that the assessment can be reproduced for confirmation of the procedures and results reported. This position is consistent with the PMRA's policy for single pathway assessments. Similarly, aggregate risk assessments prepared by the PMRA should provide adequate information to permit confirmation of the outcome by the public. The format for an aggregate risk assessment report should fully describe and document the ten steps for conducting an aggregate risk assessment as detailed in this document (Section IV.A.1-10). In addition, information should be provided on: purpose and scope; inputs and assumptions; data sources; exposure algorithms and scenarios; and definitions of defaults.

The purpose and scope of the assessment should be clearly stated in a "problem formulation" section that includes a full discussion of any highly exposed or highly susceptible subpopulations evaluated (e.g., children, the elderly). The questions the assessment attempts to answer are to be discussed and the assessment endpoints are to be well defined and supported. In addition, key inputs and assumptions for exposure and hazard portion of the assessment should be listed. Information for each input and output distribution is to be provided in the report. This includes tabular and graphical representations of distributions (e.g., probability density function and cumulative distribution function plots) that indicate the location of any point estimate of interest (e.g., mean, median, high-end percentiles). The selection of distributions and whether distributions used for input parameters reflect resampling of empirical distribution functions or imputations should be explained and justified.

The sources for data used in an assessment should be clearly identified. Where data points have been excluded from the probabilistic analysis, the exclusion should be identified and justified. Studies from which data are obtained should contain sufficient quality assurance/quality control of data to ensure sample integrity during treatment, collection, transportation, storage, and analysis.

A discussion of the exposure algorithms and their appropriateness for the scenario and population under study is recommended. Names of models and software used to generate the analysis should be identified. Routes of exposure should be clearly defined. Sufficient information is to be provided to allow the results of the analysis to be independently reproduced. Moreover, the analyst should identify all assumptions used and explain why they are reasonable. Assumptions that have a significant impact upon the results are to be documented and explained.

5.0 Future data and research needs

Although the development of probabilistic aggregate risk assessment tools has greatly expanded the level of detail with which risk assessment can evaluate the variability and impact of pesticide use patterns on estimated risk, the PMRA does not anticipate initiating any new data call-ins or data requirements with the finalization of these guideline general principles for performing aggregate risk assessments.

The USEPA's Office of Research and Development (ORD) is conducting research on aggregate exposure and risk. These data will be used in support of the PMRA's capabilities to perform aggregate risk assessment. For example, there is a major population-based field study underway that focuses on children's aggregate exposure to pesticides in homes, daycare centres and schools. This study is scheduled for completion in FY 2004, with major products delivered in FY 2005. The results will be used to evaluate and refine a protocol that can be used by the pesticide industry and others to develop exposure data to refine residential assessments. This research will also verify pathways and activities that represent the highest exposures to children. In FY 2003, USEPA's ORD will refine the current aggregate SHEDS pesticides exposure model, i.e., the Stochastic Human Exposure and Dose Simulation Model for Pesticides, to estimate exposures and absorbed dose to environmental contaminants by children and adults. ORD is also analysing data that focuses on aggregate exposure and risk from multiple chemicals through multiple pathways, particularly for children. Data sources include NHEXAS (National Human Exposure Assessment Survey), NHANES (National Health and Nutrition Examination Survey) and ORD's STAR (Science to Achieve Results) grants.

5.1 Food ingestion pathway

The importance of the rate of application of pesticides to agricultural commodities and the use patterns associated with pesticides have been recognized as a potential area for refinement in estimating food exposure which has not always been included in the assessment process. This issue is discussed in the "The Role of Use-Related Information in Pesticide Risk Assessment and Risk Management" (USEPA, 2000e). The "Guidance for Submission of Probabilistic Human Health Exposure Assessments to the Office of Pesticide Programs" (USEPA, 1998c) includes a discussion of how use-related information can be better included in the risk assessment. That document also describes acceptable sources of data and how the data will be used. Other documents which are available include "Guidance for Refining Anticipated Residue Estimates Used in Acute Dietary Probabilistic Risk Assessment" (USEPA, 2000c) and the draft document, "Assessing Exposures from Pesticide in Food: A Users Guide" (PMRA, 2002). Other possible modifications to food assessments might include adjustment for residue levels in foods based upon differences in use patterns on fresh market and processed commodities or information concerning domestic versus foreign production and treatment practices during different seasons. The PMRA is confident that this document can substantially be followed using current data sources, judgements or other methods.

In the area of food consumption, few data are available describing intraindividual variation in daily consumption patterns over long periods of time. Existing cross-sectional consumption data define interindividual variation, but give little insight into intraindividual behaviour over time. Longitudinal data exist for a few groups of individuals in highly localized areas across the U.S. and are applicable to Canada. More small surveys for a greater variety of subpopulations or a systematic subset nationwide would provide information needed to estimate the likely exposure of an individual to food-borne pesticides over an extended period of time.

5.2 Drinking water pathway

For drinking water, in the short-term, the PMRA is working to improve the current screening-level models used to estimate the concentration of pesticides in drinking water, particularly for surface water. Several approaches have recently been completed and incorporated into the PMRA's standard practices: (1) use of a small reservoir scenario for surface water; and (2) use of a prairie farm dugout scenario for use with its screening level surface water models. The potential use of a cropped area factor is also being considered in order to take into account that 100 percent of a watershed may not be cropped. There is consensus among the water quality modelling community that a basin scale water quality model linked to a GIS to estimate concentrations of pesticides in drinking water with a moderate to high level of confidence, although not currently available, may improve the ability to predict concentrations of pesticides in drinking water. In addition, research to estimate the extent to which various kinds of drinking water treatment remove pesticides from tap water would improve model estimates of pesticide concentrations in drinking water.

It is often useful to collect available data on pesticides in drinking water from federal and provincial agencies for public health, environmental protection, water resources, etc., as well as to generate data on pesticides in drinking water from statistically based surveys. For pesticides that are not found to have acceptable residue levels in screening-level models, available monitoring data and refined model estimates representing either drinking or non-drinking water supplies will be used to develop pesticide concentration distributions in drinking water for use in probabilistic aggregate exposure and risk assessments. Focussed, targeted monitoring stratified across a variety of drinking water sources (vulnerable and typical) with known pesticide use for relevant pesticides is one possible source of such information. Data sets from most vulnerable drinking water sources (smaller facilities serving small populations) could be used with high confidence to bound the upper-end of the distribution of pesticide concentrations in drinking water. Data sets from more typical drinking water sources (larger systems serving large populations) could be used with high confidence to evaluate the "middle" or central tendency of the distribution of pesticide concentrations in drinking water. For incorporating drinking water into acute and chronic aggregate exposure and risk assessments these are the most critical portions of the pesticide concentration distribution.

5.3 Residential pathway

In the residential exposure pathway, the ability to assess the likelihood of coincidental dietary and non-dietary exposure improves with detailed use-related information. Use-related information includes details regarding the amount of pesticide applied per use, the frequency and timing of use events, and an estimate of the numbers and kinds of people making these applications. In addition, exposure assessors should be aware of applications made by consumers themselves and applications made by professional for hire services, such as pest control operators (PCOs) and professional LCOs. Usage information sources include inferences from pesticide product labels and information provided by proprietary market research service firms or government agencies.

Frequency of use information, on a national scale in the U.S., is available in the USEPA's National Home and Garden Pesticide Usage Survey (NHGPUS). However, this survey is 10 years old and focuses only on major use pesticides. In addition, this survey provides very little information about post-application activities.

Increasingly, as pesticide registrants form data-generating Task Forces, longitudinal surveys are being considered for use in residential exposure scenarios. These surveys are being designed to address usage, frequency of use, and other key information needed in aggregate assessments such as demographic, geographic and seasonal variation. The PMRA recognizes that refinements to risk assessment are always possible and that future research will lead to improved methodologies.

6.0 Limitations in aggregate exposure and risk assessments

Aggregate exposure and risk assessments have a number of limitations depending upon whether the analysis uses deterministic or probabilistic treatment of data. Deterministic data used in an aggregate exposure and risk assessment can provide a conservative, "worst case" estimate if the estimates themselves represent the high end or upper-bound. However, as described by Cullen and Frey (1999), because of the variability and uncertainty about exposure, the degree and direction of the conservatism associated with deterministic inputs and outputs is unknowable without detailed description of the specific exposure scenario. Deterministic estimates based on conservative inputs provide no indication of the magnitude of uncertainty surrounding the quantities estimated and lend no insight into the key sources of underlying uncertainty. Analysts should be aware of the limitations surrounding the use of deterministic data sets and make these limitations known to the risk manager.

The use of distributional data in a probabilistic aggregate exposure assessment also has limitations. Probabilistic analysis enables an expanded characterization of the uncertainty and variability in the data set providing information about the range and likelihood of potential exposure. However, assigning an incorrect distribution or an unrepresentative data set to an input variable with sparse data produces an inaccurate assessment with unquantifiable uncertainty. Thus, there are cases for which probabilistic analysis is not the most appropriate choice. In particular, this may be the case when data limitations make a screening-level assessment the reasonable stopping point in the analysis, or when exposures are found to be negligible (See Table 1).

The PMRA believes that as long as: (1) assumptions are well-explained, reasonable, and transparent; (2) sensitivity analyses are performed to determine if any assumptions are "driving" the risk or controlling the resulting risk estimate and (3) the resulting risk estimate is properly characterized and incorporates the results of the sensitivity analyses, then the risk estimates are an adequate basis for regulatory decision. When data for an important pathway/parameter are limited, it may be useful to define plausible alternative scenarios to examine the impact of a possible range of values for important parameters on the overall assessment. In doing this, the risk assessor should select the range of values for important parameters consistent with the knowledge of the variability of the parameter and test the sensitivity of the assessment to the input parameter range. Where parameters are entered as distributions, the assessor should assess the impact of assumptions about the shape of the distribution on the risk assessment. These evaluations should be included in the risk characterization and considered during the interpretation of results.

Table 1: Where Probabilistic Analysis May and May Not be Useful
Cases in Which Probabilistic Analysis May be Useful Cases in Which Probabilistic Analysis May Not be Useful
When the consequences of poor or biased exposure estimates are unacceptably high When a screening-level deterministic calculation indicates that exposures are negligible
When a screening-level, deterministic calculation indicates exposures of potential concern, but carries a level of uncertainty that does not warrant immediate expenditures on remediation When the cost of averting the exposure is smaller than the cost of probabilistic analysis
When there is interest in the value of collecting additional information, such as when time and resources permit additional sampling, but questions remain about whether this will impact the quality of the decision to be made When safety is an immediate and urgent concern
When uncertain information stems from multiple sources When the distribution of the input variables is so uncertain and/or indeterminate that detailed probabilistic analysis is inappropriate
When significant equity issues are raised by sources of variability, such as when subpopulations face unusual exposures relative to those of the general population When there is little variability or uncertainty in the analysis
When assessing the potential benefits of targeting resources for various interventions, for example when more than one strategy for remediation is available, but one would reduce exposure via the food chain while another would improve air quality  
When ranking or prioritizing exposures, exposure pathways, sites, or contaminants is important
When the cost of remedial or intervention activity is high

Cullen and Frey, p. 8

6.1 Food ingestion pathway: limitations

The techniques for assessing exposure occurring by each of the exposure pathways described in this document have inherent uncertainties. However, the food exposure pathway is perhaps the most highly investigated pathway included in the aggregate exposure and risk assessments. While there are uncertainties in the food exposure analysis, the uncertainty decreases as higher Tiers in food exposure analysis are reached. Uncertainties present in the food exposure and risk pathway may include the use of residue data from maximum application scenario instead of "typical" pesticide use rate, estimates of the percentage of crop treated, and the use of monitoring data from past years which may not reflect current geographical distributions of pesticide uses or use practices. Although percentages of crop treated data are being collected nationally, more accurate data may be available in the form of individual company marketing information or data from growers or producers. Additionally, regional residue data and longitudinal consumption data may be available but limited. These uncertainties should be considered as the food exposure pathway is investigated within an aggregate exposure and risk assessment.

6.2 Drinking water pathway: limitations

In the drinking water pathway, there are various sources of uncertainties associated with incorporating data on exposure to pesticides in drinking water into an aggregate exposure and risk assessment whether using models to estimate pesticide concentrations in drinking water or the available monitoring data on water quality. The PMRA understands that the results provided by the computer simulation models currently used at the first and second Tier of analysis for pesticide concentrations in surface water do not characterize either the effects of dilution, distribution or potential treatment at a drinking water facility. However, model refinements to provide improved estimates are in progress. Therefore, the model limitations increase the uncertainty in the semiquantitative exposure assessment upon which the results are based. The PMRA uses model scenarios that reflect pesticide concentrations in potential drinking water sources including the output of time-dependent distributions of residues that reflect actual weather data. The Leaching Estimation and Chemistry Model (LEACHM) identifies a pesticide's potential to leach to groundwater. When combined with the Expert System for Pesticide Regulatory Evaluations and Simulations (EXPRES) containing soil and meteorological data for a number of sites across Canada, LEACHM simulates leaching following application to Canadian crops using conservative input values and provides Level I screening level concentrations for a pesticide in drinking water wells in use areas.

The highest degree of confidence and lowest uncertainty would be associated with extensive monitoring data representing finished drinking water sampled over several years for specific pesticides known to be highly to moderately used in areas surrounding the drinking water facility. A range of drinking water facilities stratified across those considered to be most vulnerable to contamination to those considered to be more typical would be included in a data set associated with a high level of confidence. For surface water, these vulnerable areas are represented by small- to medium-sized watersheds in agricultural areas that are heavily cropped. For groundwater, agricultural areas with shallow depths to potable groundwater, coarse or sandy soils, and high recharge rates are considered vulnerable to contamination from pesticides.

6.3 Residential pathway: limitations

In the residential exposure pathway, reconciling environmental measurements, human activity patterns that contribute to potential exposure, and the biological factors that ultimately lead to absorbed dose, presents unique challenges for exposure assessors attempting to estimate non-dietary, residential exposure. Many of the current estimates (post-application in particular) are made in the absence of formal guidance by the PMRA beyond the screening-level SOPs. USEPA's ORD is conducting and designing studies to support post-application and residential model development, and the results of those studies will become available over the next several years. Similar exposure studies to be generated by industry task forces are also in the design phase. All of this information will be reviewed and used as it is made public.

The current, post-application residential exposure models addressing re-entry onto treated lawns and carpets are simple algorithms. Estimates (e.g., Guranathan et al., 1998) need to be viewed in the context of available health surveillance data and studies in which biological monitoring was performed following structured activities. Biological monitoring studies such as those of young children living in the immediate vicinity of pesticide-treated orchards (Loewenherz et al., 1997; Simcox et al., 1995) can also provide insight regarding the magnitude of residential exposure. While the models discussed above often predicted up to thousands of micrograms of pesticide per kilogram body weight, the available biological monitoring data and health surveillance data suggest much less per kilogram body weight. The PMRA is currently evaluating the default assumptions in the available model/algorithms which may account for the apparent discrepancy in exposure estimates from these sources.

Estimating residential exposure of the pesticide applicator is more straightforward. To estimate residential handler exposure, PMRA exposure assessors use data available in the Pesticide Handlers' Exposure Database (PHED), from proprietary Outdoor Residential Exposure Task Force (ORETF) data and from studies on individual pesticides. These data are based on guideline studies and other published data concerning methods and quantity of pesticide application. While the data may contain many non-detects, they do address activities that are reasonably well defined. When a specific application scenario does not exist in PHED or other available databases, exposure assessors estimate the quantity of pesticides that residents use to treat their homes, lawns and gardens, and how often those applications are made using surrogate data and professional judgement. Some of the questions surrounding an application scenario without data specifically targeted to that use pattern can be answered through the use of indirect data available though marketing services, company data, or well designed surveys. To the extent that data are not available for use in estimating a home pesticide applicator's exposure, and estimates based on surrogate use data are used, different types of uncertainty exist.

Postapplication exposure following treatment of vegetables is also based on activities that are fairly well defined and based on models designed to estimate farm worker exposure. Often, levels of available residues can be estimated. However, chemical dissipation rates are often unavailable, thus allowing only high-end residue estimates. Postapplication inhalation exposure can be addressed using survey data from the National Human Activity Pattern Survey (NHAPS) and well defined ventilation rates available in the USEPA's Exposure Factors Handbook (USEPA, 1997b). Surveys such as NHAPS can assign "individuals" to a place for a period of time while conducting a certain activity, e.g., reading a book. Exposure is estimated by comparing an activity, a time duration as reported in NHAPS, and an appropriate (age/weight/gender) ventilation rate from the Exposure Factors Handbook to a residue estimate. But, what is often unknown is airborne concentrations of pesticides following applications and their subsequent dissipation.

7.0 Validation and verification of aggregate assessment

7.1 Model evaluation and enhancement

In any computer-based simulation/modelling effort, it is important that the analyst determine that a model is valid, i.e., that the model-predicted result corresponds reasonably well to results obtained in the "real world." Specifically, this suggests that a model be both verified and validated. Model verification attempts to confirm that the computer simulation is performing as intended and check the translation of the conceptual simulation model into the appropriate computer code. Model validation, on the other hand, concerns itself with determining whether the conceptual model is an appropriate simulation of reality and an accurate representation of the system under study (Law and Kelton, 1991).

Given the complexity of the models under consideration for conducting aggregate assessments, and the state of the available data, rigorous validation and verification of any model is probably not feasible. Any model used to assess aggregate exposure should undergo a rigorous evaluation phase (including peer review) to establish the credibility of the model and determine that the model output (i.e., the model predictions) are adequately representative of reality (ILSI, 2001). This stage of model evaluation should also include identification of the model's strengths and limitations as well as the most critical parameters and assumptions used by the model. The validity and credibility of any aggregate exposure model can be investigated by comparing model predictions (in terms, for example, of the distribution of daily exposures, expressed in mg pesticide/kg body weight) with the exposure distributions as predicted by a variety of completed studies such as the Hispanic Health and Nutrition Examination Survey (HHANES) and NHANES, various PMRA and academic institution data, industry task force studies, and (if available) proprietary data from industry or trade groups. Data to support such investigations are limited for many pesticides and therefore validation may not always be possible.

7.2 Biomonitoring

Biological monitoring, or biomonitoring, provides a basis for estimating an internal dose by measuring a pesticide and(or) its metabolite concentrations in selected body tissues or fluids. Biomonitoring studies of selected chemicals measure exposures that have already incurred. Also, biomonitoring involves sampling only (e.g., blood sample) with no additional health or other consequences likely to occur from the sampling procedures. When done quantitatively, the internal dose determined from biomonitoring reflects exposures (i.e., absorbed doses) from all possible routes. Since the internal dose calculated from biomonitoring represents exposures from all pathways by all routes, biomonitoring may provide a method of validation for aggregate exposure assessments. It should, however, be supplemented with information on when and how exposure occurred, how the sample was collected, and data describing the absorption, metabolism and excretion for the compounds in question.

Biomonitoring studies should not be confused with using humans as test subjects. The government has in place very stringent standards that apply to federally funded research to ensure the protection of human subjects. The PMRA believes that the protection of public health from adverse effects of pesticides can be achieved through reliance on animal testing and use of the highest ethical standards. Biomonitoring studies investigate the biological consequences of pesticide exposure during the normal cycle of product use, and not the intentional dosing of human subjects.

The most appropriate methods for biological monitoring should be chosen based on a thorough knowledge and understanding of the pharmacokinetics of the specific pesticide in humans. Detailed guidance for the design and execution of biological monitoring studies is presented elsewhere (USEPA, 1998a and OECD references therein). For certain pesticides, biological monitoring may not be an appropriate validation technique. Consider a particular pesticide that is extensively metabolized to a large number of minor metabolites. Each minor metabolite may be subject to interindividual variability. The following example illustrates the degree of potential inaccuracy in predicting absorbed doses from minor metabolites. A minor metabolite may represent an average of two percent of the absorbed dose with reported values ranging from 0.5 percent to 5.0 percent in human volunteers. Using the average value would require the use of a 50-fold correction factor to calculate an absorbed dose. Conversely, if the five percent value is representative, a correction factor of 20-fold would be recommended. It is recommended that a suitable biological monitoring marker metabolite would represent at least 30 percent of the administered dose, with a range of values not exceeding a factor of three in human volunteer studies.

List of abbreviations

AAFC
Agriculture and Agri-Food Canada
AGP
aggregate general principles
a.i.
active ingredient
ARfD
acute reference dose
ARI
ggregate risk index
CFSII
Continuing Survey of Food Intakes by Individual
DACO
data code
DRA
dietary risk assessment
DWLOC
drinking water level of comparison
EXPRES
Expert System for Pesticide Regulatory Evaluations and Simulations
FQPA
Food Quality Protection Act
GIS
Geographic Information System
HC
Health Canada
HHANES
Hispanic Health and Nutrition Examination Survey
ILSI
International Life Sciences Institute
LCO
lawn care operator
LEACHM
Leaching Estimation and Chemistry Model
MOE
margin of exposure
MRL
maximum residue limit
NAS
National Academy of Sciences
NHANES
National Health and Nutrition Examination Survey
NHAPS
National Human Activity Pattern Survey
NHEXAS
National Human Exposure Assessment Survey
NHGPUS
National Home and Garden Pesticide Usage Survey (USEPA)
NOAEL
no observed adverse effect level
OECD
Organisation for Economic Cooperation and Development
ORD
Office of Research and Development (USEPA)
ORETF
Outdoor Residential Exposure Task Force
PCO
pest control operator
PHED
Pesticide Handlers' Exposure Database
PDP
Pesticide Data Program
PMRA
Pest Management Regulatory Agency
RfD
reference dose
RI
risk index
SOP
standard operating procedure
STAR
Science to Achieve Results
UF
uncertainty factor
U.S.
United States of America
USDA
United States Department of Agriculture
USEPA
United States Environmental Protection Agency

Glossary

Absorbed dose
The amount of a substance penetrating across the absorption barriers (or the exchange barriers) of an organism, via either physical or biological processes. Synonymous with internal dose (USEPA, 1992).
Active ingredient ( a.i.)
The chemical component of a pesticide formulation or end-use product that is intended to act as a pest deterrent. The biologically-active chemical agent in a pesticide product (USEPA, 1997a).
Aggregate dose
The amount of a single substance available for interaction with metabolic processes or biologically significant receptors from multiple routes of exposure.
Aggregate exposure
The amount of a chemical available at the biological exchange boundaries ( e.g., respiratory tract, gastrointestinal tract, skin) for all routes of exposure.
Aggregate exposure assessment
A process for developing an estimate of the extent of a defined population to a given chemical by all relevant routes and from all relevant sources (ILSI, 1998a, p.A-2).
Aggregate risk
The likelihood of the occurrence of an adverse health effect resulting from all routes of exposure to a single substance.
Biomonitoring
Measurement of a pesticide or its metabolites in body fluids of exposed persons and conversion to an equivalent absorbed dose of the pesticide based on a knowledge of its human metabolism and pharmacokinetics.
Cumulative risk
The likelihood of the occurrence of an adverse health effect resulting from all routes of exposure to a group of substance sharing a common mechanism of toxicity.
Dislodgeable residue
The portion of a pesticide (which may or may not include its metabolites) that is available for transfer from a pesticide-treated surface (USEPA, 1997a).
Dose
The amount of a substance available for interaction with metabolic processes or biologically significant receptors after crossing the outer boundary of an organism (USEPA, 1992).
Dose rate
Dose per unit time ( e.g., mg/day). Also called dosage. Dose rates are often expressed on a per-unit-body-weight basis ( mg/kg/day). Dose rates may also be expressed as an average over a time period ( i.e., lifetime) (USEPA, 1992).
Exposure
Contact of a chemical, physical, or biological agent with the outer boundary of an organism. Exposure is quantified as the concentration of the agent in the medium in contact integrated over the time duration of that contact (USEPA, 1992).
Exposure assessment
The qualitative or quantitative determination or estimation of the magnitude, frequency, duration, and rate of exposure of an individual or population to a chemical.
Exposure scenario
A combination of facts, assumptions, and inferences that define a discrete situation or activity where potential exposures may occur (USEPA, 1997a). The PMRA uses this term as a synonym for "source."
High-end exposure
A plausible estimate of individual exposure or dose for those persons at the upper end of an exposure or dose distribution, conceptually above the 90th percentile, but not higher than the individual in the population who has the highest exposure.
Intake
The process by which a substance crosses the outer boundary of an organism without passing an absorption barrier, e.g., through ingestion or inhalation, (See also potential dose) (USEPA, 1992).
Level of comparison
Also known as drinking water level of comparison. A drinking water level of comparison is a theoretical upper limit on a pesticide's concentration in drinking water in light of total aggregate exposure to a pesticide in food, drinking water, and through residential uses.
Longitudinal data
Data characterised by repeated observations over time on the same set of individuals.
Lowest observed adverse effect level (LOAEL)
The lowest dose in a toxicity study at which an adverse effect is observed.
No observed adverse effect level (NOAEL)
The highest dose in a toxicity study at which no adverse toxic effect is observed.
Pathway
The physical course a chemical or pollutant takes from the source to the organism exposed. Also called exposure pathway (USEPA, 1992).
Potential dose
The amount of a chemical contained in material ingested, air breathed, or bulk material applied to the skin (USEPA, 1992).
Reference concentration (RfC)
NOAEL (inhalation)/uncertainty factor (UF).
Reference dose (RfD)
NOAEL/uncertainty factor (UF).
Route
The way a chemical or pollutant enters an organism after contact, e.g., by ingestion inhalation, or dermal absorption. Also called exposure route (USEPA, 1992).
Source
A term defined in EPA's "Guidance of Cumulative Risk Assessment Part 1, Planning and Scoping" as an entity or action that releases to the environment or imposes on the environment chemical, biological, or physical stressor or stressors. When the PMRA discussed the different ways in which use of a pesticide may lead to exposure, the PMRA uses the term "exposure scenario." These terms are synonyms.
Surrogate data
Substitute data or measurements on one substance (or population) used to estimate analogous or corresponding values for another substance (or population).
Transfer coefficient
Residue transfer rate to humans during the completion of specific activities ( e.g., cm2 per hour), calculated using concurrently collected environmental residue data (USEPA, 1998a).
Uncertainty
Lack of knowledge about specific factors, parameters, or models.
Uncertainty factor (UF)
Factors used to account for inter- and intraspecies differences in relation to toxic effects, and uncertainties associated with the data.
Unit exposure
The amount of a pesticide's residues to which individuals are exposed, normalized by the amount of active ingredient used.
Uptake
The process by which a substance crosses an absorption barrier and is absorbed into the body (USEPA, 1992).
Variability
Differences attributed to true heterogeneity or diversity in a population or exposure parameter.

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