Screening assessment - Silver and its compounds

Official title: Screening Assessment - Silver and its Compounds

Environment and Climate Change Canada

Health Canada

August 2022

Cat. No.: En84-302/2022E-PDF

ISBN 978-0-660-44697-4

Synopsis

Pursuant to section 68 or 74 of the Canadian Environmental Protection Act, 1999 (CEPA), the Minister of the Environment and the Minister of Health have conducted a screening assessment of silver and its compounds. Seven of these substances were identified as priorities for assessment as they met categorization criteria under subsection 73(1) of CEPA. These seven substances are referred to collectively in this assessment as the Silver and its Compounds Group. The Chemical Abstracts Service Registry Numbers (CAS RNFootnote 1), Domestic Substances List (DSL) names, and common names of these substances are listed in the table below.

Substances in the Silver and its Compounds Group
CAS RN DSL name Common name
7440-22-4 Silver Silver
7761-88-8 Nitric acid silver(1+) salt Silver nitrate
7783-90-6 Silver chloride (AgCl) Silver chloride
7785-23-1 Silver bromide (AgBr) Silver bromide
10294-26-5 Sulfuric acid, disilver(1+) salt Silver sulfate
20667-12-3 Silver oxide (Ag2O) Silver oxide
21548-73-2 Silver sulfide (Ag2S) Silver sulfide

The screening assessment of silver and its compounds focuses on the silver moiety and therefore considers silver in its elemental form, silver-containing substances, and all forms of silver found in the environment. As such, all silver-containing substances beyond the seven substances identified as priorities for assessment are considered. The combined exposure of humans and other living organisms to the silver moiety, whether it is present in environmental compartments (i.e., water, sediment, soil, and air), food, or products, is considered in this screening assessment.

Canada is the 14th largest producer of silver in the world. According to information submitted in response to a CEPA section 71 survey, substances within the Silver and its Compounds Group that were included in the survey were manufactured or imported in low to moderate quantities (i.e., less than 1 tonne (t) to less than 10 000 t) by four companies. Silver has a wide variety of uses in Canada, including the manufacturing of bars, coins, jewelry, medals, silverware, silver-containing substances and preparations, glass products, and soap and cleaning compounds. It is also used in brazing and soldering, catalysis, cloud seeding, and electronics. Silver may be used in a range of products in Canada, including drugs, natural health products, cosmetics, as a formulant in registered pest control products, and toys. It is a permitted food additive and may be used as a component in the manufacture of food packaging materials and as a component in an incidental additive used in food processing establishments.

Silver is naturally released to the environment through weathering of soils and rocks. Anthropogenic releases of silver occur during its production (i.e., mining, processing, smelting, refining), during the manufacturing of silver-containing substances, following product disposal (e.g., batteries, electronics, silver-containing films), and through other activities (e.g., cloud seeding). The National Pollutant Release Inventory data from 2012 to 2017 indicate that silver and its compounds were released to the environment from public and industrial activities in low quantities (i.e., yearly average of 0.027 t for all media combined). Once released into the environment, silver in air and water will migrate to soil and/or sediments where it will persist.

Silver is not an essential nutrient for organism health or human health. Organisms exposed to silver in their habitats rapidly take up silver via their environmental media and accumulate it in internal organs and other tissues. In aquatic organisms, the accumulated silver is mostly bound with sulfur-containing biomolecules and detoxified. Bioaccumulation of silver in benthic and soil-dwelling organisms may be reduced by the formation of inert silver sulfide in these environmental compartments. Currently, there is no indication of biomagnification of silver across food chains.

Silver causes mortality as well as growth and reproductive effects to aquatic organisms at very low concentrations and to benthic and soil-dwelling organisms at moderate concentrations. The Canadian Water Quality Guideline (CWQG) derived by the Canadian Council of Ministers of the Environment is used as the chronic predicted no-effect concentration (PNEC) for silver for freshwater organisms. Ecotoxicity studies were used to derive chronic PNECs for silver for organisms in the marine water, freshwater sediment, and soil compartments.

Ecological exposure to silver was characterized for the following sources based on their potential to release silver: metal mining, base metal smelting and refining, wastewaters (i.e., silver in the final effluent released by wastewater  systems and silver in land-applied biosolids), and waste disposal (i.e., landfill leachate). Risk quotient analyses were performed by comparing measured and modelled exposure concentrations in fresh waters, marine waters, freshwater sediments and soils to chronic PNECs for freshwater and marine water aquatic, freshwater benthic, and soil-dwelling organisms, respectively. Based on these analyses, there is a moderate potential that silver may cause harm to benthic organisms near some facilities in the metal mining and base metal smelting and refining sectors, but there is low potential to cause harm to aquatic or soil-dwelling organisms. However, there is uncertainty regarding the potential for ecological harm in sediment due to the paucity of ecotoxicity studies and uncertainties around the bioavailability of sediment-bound silver.

Considering all available lines of evidence presented in this screening assessment, there is low risk of harm to the environment from silver and its compounds. It is concluded that the seven substances in the Silver and its Compounds Group do not meet the criteria under paragraphs 64(a) or (b) of CEPA as they are not entering the environment in a quantity or concentration or under conditions that have or may have an immediate or long-term harmful effect on the environment or its biological diversity or that constitute or may constitute a danger to the environment on which life depends.

Silver and its compounds were evaluated using the Biomonitoring-based Approach 2, which compares human biomonitoring data (exposure) against biomonitoring guidance values (health effects), such as biomonitoring equivalents (BEs), to identify substances with low concern for human health. Total silver concentrations were measured in the whole blood of Canadians as part of the Canadian Health Measures Survey and a follow-up study to the Maternal-Infant Research on Environmental Chemicals (MIREC) Study called MIREC-Child Development Plus. Median and 95th percentile blood silver concentrations in Canadians of 0.066 µg/L and 0.27 µg/L were lower than the BE of 0.4 µg/L associated with the United States Environmental Protection Agency (U.S. EPA) reference dose for protection against the critical health effect of argyria, characterized by blue or blue-greyish staining of the skin and mucous membranes. Therefore, silver and its compounds are considered to be of low concern for human health at current levels of exposure.

On the basis of the information presented in this screening assessment, it is concluded that silver and its compounds do not meet the criteria under paragraph 64(c) of CEPA as they are not entering the environment in a quantity or concentration or under conditions that constitute or may constitute a danger in Canada to human life or health.

It is therefore concluded that the seven substances in the Silver and its Compounds Group do not meet any of the criteria set out in section 64 of CEPA.

1. Introduction

Pursuant to section 68 or 74 of the Canadian Environmental Protection Act, 1999 (CEPA) (Canada 1999), the Minister of the Environment and the Minister of Health have conducted a screening assessment of silver and its compounds to determine whether these substances present or may present a risk to the environment or to human health. Seven of these substances were identified as priorities for assessment as they met categorization criteria under subsection 73(1) of CEPA (ECCC, HC [modified 2017]). These seven substances are referred to collectively in this screening assessment as the Silver and its Compounds Group.

The focus of the screening assessment is on the silver moietyFootnote 2 (hereafter referred to as “silver”). Therefore, it considers silver in its elemental form, silver-containing substances, and all forms of silver found in the environment. Some silver-containing substances have the potential to dissolve, dissociate or degrade to release silver through various transformation pathways and therefore contribute to the combined exposure of humans and ecological receptors to silver. The scope of the screening assessment considers exposure from silver found in environmental media (i.e., water, sediment, soil, air) from natural sources and anthropogenic activities including silver production, the manufacture, import, and use of silver-containing substances and products, and the release of silver-containing substances. Therefore, the risk assessment is not limited to the seven substances identified as priorities for assessment.

This screening assessment only considers effects associated with silver. Effects from other elements or moieties that may be present in and released from certain silver-containing substances are not addressed (e.g., chloride, bromide). Some of these other elements or moieties have been addressed through previous assessments conducted as part of the Priority Substances List program under CEPA or may be addressed via other initiatives of the Chemicals Management Plan (CMP). Engineered nanomaterials containing silver that may be present in environmental media or in products are not explicitly considered in the exposure scenarios of this screening assessment, but measured concentrations of silver in the environment or human biomonitoring could include silver from these sources. Similarly, this screening assessment does not explicitly consider ecological or health effects associated with nanomaterials containing silver. The Government of Canada’s Proposed Approach to Address Existing Nanomaterials will consider nanoscale forms of substances currently on the Domestic Substances List (DSL) (ECCC, HC [modified 2016]).

This screening assessment includes consideration of information on chemical properties, environmental fate, hazards, uses and exposures. Relevant data were identified up to December 2020. Empirical data from key studies as well as results from models were used to reach the conclusion. When available and relevant, information presented in assessments by other jurisdictions was considered.

This screening assessment was prepared by staff in the CEPA Risk Assessment Program at Health Canada and Environment and Climate Change Canada and incorporates input from other programs within these departments. The ecological and human health portions of this screening assessment have undergone external review and consultation. Comments on the technical portions relevant to the environment were received from Geoff Granville (GCGranville Consulting Corp.), Dr. Beverly Hale (University of Guelph), and Dr. Jim McGeer (Wilfrid Laurier University). The human health portion of this screening assessment was based on the Biomonitoring-based Approach 2 science approach document (Health Canada, 2016), which was externally peer-reviewed and subject to a 60-day public comment period. External peer-review comments were received from Lynne Haber and Andrew Maier from Toxicology Excellence for Risk Assessment and from Judy LaKind from LaKind Associates. Additionally, the draft of this screening assessment (published August 2020) was subject to a 60-day public comment period. While external comments were taken into consideration, the final content and outcome of the screening assessment remain the responsibility of Health Canada and Environment and Climate Change Canada.

This screening assessment focuses on information critical to determining whether substances meet the criteria as set out in section 64 of CEPA by examining scientific information and incorporating a weight-of-evidence approach and precaution.Footnote 3 This screening assessment presents the critical information and considerations on which the conclusion is based.

2. Substance identity

Silver (Ag) is a natural element. Silver-containing substances belong to various substance categories, including elemental silver, inorganic compounds, organic-metal salts, and organometallic compounds, represented by either discrete substances or UVCBs (unknown or variable composition, complex reaction products, or biological materials). The Chemical Abstracts Service Registry Numbers (CAS RN), DSL names, and common names of these substances are presented in Table 2-1.

Table 2-1. Substance identity information for the seven substances in the Silver and its Compounds Group identified as priorities for assessment
CAS RN DSL name Common name
7440-22-4 Silver Silver
7761-88-8 Nitric acid silver(1+) salt Silver nitrate
7783-90-6 Silver chloride (AgCl) Silver chloride
7785-23-1 Silver bromide (AgBr) Silver bromide
10294-26-5 Sulfuric acid, disilver(1+) salt Silver sulfate
20667-12-3 Silver oxide (Ag2O) Silver oxide
21548-73-2 Silver sulfide (Ag2S) Silver sulfide

3. Physical and chemical properties

Silver (Ag) is a naturally occurring transition metal. It is soft and malleable and has a white metallic lustre (HSDB 1983- ). Pure silver has the highest reflectivity and electrical and thermal conductivity of all metals (Lide 2000). The natural isotopic composition of silver includes two stable isotopes, 107Ag and 109Ag, with 107Ag being slightly more abundant. Silver is one of the least reactive metals and Ag+ is the primary oxidation state under natural conditions. Silver oxidation states of +2 are not stable and are easily reducible. Oxidation states of +3 are rare (Greenwood and Earnshaw 1997).

Silver is stable in air and water, except when it reacts with sulfur compounds to form silver sulfide, causing a black tarnish on the surface of the metal (Lide 2000). Silver metal dissolves readily in hot concentrated sulfuric acid, as well as dilute or concentrated nitric acid. In the presence of air, and especially in the presence of hydrogen peroxide, silver dissolves readily in aqueous solutions of cyanide (HSDB 1983- ).

Most silver salts have limited water solubility (e.g., silver bromide, 0.14 mg/L; silver chloride, 1.93 mg/L), with some exceptions such as silver nitrate (i.e., 2.16 x 104 mg/L), silver perchlorate, and silver fluoride. Silver halides, especially silver bromide and silver iodide, are photosensitive and will decompose to silver metal when exposed to light (WHO 2002).

A summary of physical and chemical property data (Lide 2000, 2005) for the seven substances in the Silver and its Compounds Group is presented in Appendix A.

4. Sources and uses

4.1 Natural sources

Silver is naturally present in the Earth’s crust, with average concentrations estimated at 0.07 mg/kg (Yaroshevsky 2006) to 0.1 mg/kg (Purcell and Peters 1998). It predominantly occurs as sulfides and in association with pyrite (i.e., iron disulfide), galena (i.e., lead sulfide), tellurides, and gold (ATSDR 1990; Purcell and Peters 1998). Natural processes responsible for silver mobilization through the environment include weathering and erosion of rocks and soil. As an element, silver does not break down in the environment, but it can change from one geochemical form to another as it moves through various compartments, e.g., from ionic silver in the water column to silver sulfide in sediments (see section 6.1 for a discussion of the environmental fate of silver). Silver is a trace element as it is a minor constituent of the Earth’s crust, water, and air (see section 7.2.2 for a discussion of background concentrations of silver).

4.2 Anthropogenic sources

4.2.1 Silver production

Silver is sourced from mineral deposits, which are extracted from the Earth by the metal mining industry and further processed and refined by the base metal smelting and refining industry. The majority of Canada’s mines are polymetallic (NRCan 2018), and silver is produced mainly as a by-product of mining copper-zinc, copper-nickel, gold, and lead-zinc ores. Canada’s only primary silver mine suspended operations in 2013 with intentions of returning to production in the future (Alexco 2019).

In 2018, global silver production was estimated at approximately 26 000 tonnes (t), and Canada ranked 14th out of the top 20 producing countries (Newman et al. 2020). Natural Resources Canada (NRCan 2020) reports that silver production in Canada in 2018 was 392 t, with Ontario being the largest producer (113 t), followed by British Columbia (84 t) and Quebec (83 t).

4.2.2 Manufacture and imports

Information regarding the manufacture and import of silver-containing substances in Canada was acquired through data submitted in response to a CEPA section 71 survey (Environment Canada 2013a), through data obtained from the Canadian Border Services Agency (CBSA) (CBSA 2016), and through data available from the Canadian International Merchandise Trade (CIMT) database (CIMT 2017-2021).

A survey issued pursuant to section 71 of CEPA (Canada 2012) (for the reporting year 2011)Footnote 4 included six of the seven substances in the Silver and its Compounds Group. Responses were received for four of these substances: silver nitrate, silver oxide, silver sulfide, and silver sulfate (Environment Canada 2013a). Fewer than four companies reported manufacturing silver nitrate (10 t to less than 100 t) or silver oxide (less than 1.0 t) and four companies reported importing silver nitrate (1.0 t to less than 10 t), silver sulfide (1 000 t to less than 10 000 t), and silver sulfate (less than 1.0 t) (Environment Canada 2013a).

The quantity of silver-containing substances imported into Canada over the period of 2010 to 2013, as reported by the Canadian Border Services Agency (CBSA), for five Harmonized System (HS) codesFootnote 5 related to silver substances, is presented in Appendix B, Table B-1 (CBSA 2016). The HS codes were grouped by category for analysis: silver nitrate, other silver compounds, and silver powder. Only one HS code was related to a discrete substance: silver nitrate. Many companies imported silver-containing substances related to these HS codes in low to moderate quantities with the following averages from 2010 to 2013: 0.45 t/y for silver nitrate, 0.45 t/y for other silver compounds, and 0.41 t/y for silver powder. Other categories of HS codes include unwrought silver, semi-manufactured silver, and silver ores and concentrates, for which average import quantities were 3.1t/y, 0.82t/y, and 29 t/y, respectively, over the 2010 to 2013 period. According to the CIMT database (2017-2021), average import quantities from 2017 to 2019 were 1.6 t/y for silver nitrate, 0.40 t/y for other silver compounds, 3.0 t/y for silver powder, 20 t/y for unwrought silver, 4.0 t/y for semi-manufactured silver, and 110 t/y for silver ores and concentrates.

4.2.3 Uses

Silver-containing substances have a wide variety of uses internationally. Silver is a precious metal of significant economic and aesthetic value and is used in coins, bars, jewelry, and silverware (O’Connell et al. 2017; USGS 2018; Newman et al. 2020). Historically, silver was used in the photographic and radiographic film industry (Health Canada 1986; Purcell and Peters 1998; WHO 2002). This use accounted for 26% of the total global demand for silver in 1999 but only 3% in 2019 due to changes in imaging technology, such as the emergence of digital photography (Newman et al. 2020). Current industrial applications of silver documented internationally include the manufacture of silver-containing substances and preparations (e.g., silver nitrate is used in the synthesis of potassium dicyanoargentate and silver oxide) and the catalysis of other chemical compounds (e.g., ethylene oxide) (Brumby et al. 2008; O’Connell et al. 2017; Newman et al. 2020). Other industrial applications of silver include batteries, brazing and soldering, catalytic converters, circuit boards, electronics, electroplating, hardening bearings, inks, mirrors, and solar cells (O’Connell et al. 2017; USGS 2018; Newman et al. 2020), as well as the use of silver iodide for cloud seeding (WHO 2002).

According to information submitted in response to a CEPA section 71 survey, uses of silver-containing substances in Canada include laboratory uses and distribution of silver nitrate (CAS RN 7761-88-8) and silver sulfate (CAS RN 10294-26-5) (Canada 2012). Additional use information from this source cannot be disclosed due to confidentiality requests. Other uses of silver-containing substances in Canada include the fabrication of coins, jewelry, medals, and silverware; brazing and soldering; and ethylene oxide catalysis (O’Connell et al. 2017; Newman et al. 2020). Silver iodide is used for cloud seeding activities in Alberta (personal communication, email from the Alberta Severe Weather Management Society, to the Ecological Assessment Division, Environment and Climate Change Canada, dated March 21, 2019; unreferenced). The CBSA (2016) import data for various silver-containing substances does not include use information. Therefore, a subset of imports representing substantial quantities (those greater than 500 kg) was identified and NAICS6 codesFootnote 6 were used to garner further insight on silver uses in Canada.  Total quantities imported were tallied by the assigned NAICS6 code descriptions for three categories: silver nitrate, other silver compounds, and silver powder (Appendix B, Table B-2). The inferred uses of silver nitrate, other silver compounds, and silver powder in Canada includes those related to various manufacturing processes, namely: manufacturing of inorganic chemicals, glass products, electronic parts and equipment, and soap and cleaning compounds (silver nitrate); other miscellaneous chemical product and preparation manufacturing; manufacturing of other miscellaneous silver compounds; and switchgear and switchboard apparatus manufacturing (silver powder).

Silver may be used in a range of products in Canada which are available to consumers, including: drugs (DPD [modified 2018]), natural health products (LNHPD [modified 2021]; NHPID [modified 2021]), cosmetics (Health Canada [modified 2018]; personal communication, emails from the Consumer and Hazardous Products Safety Directorate, Health Canada, to the Existing Substances Risk Assessment Bureau, Health Canada, dated February 24, 2016; unreferenced), a formulant in registered pest control products (personal communication, emails from the Pesticide Management Regulatory Agency, Health Canada, to the Existing Substances Risk Assessment Bureau, Health Canada, dated March 1, 2016; unreferenced), and toys (Health Canada 2016). It is a permitted food additive (Health Canada [modified 2006]) and may be used as a component in the manufacture of food packaging materials, and as a component in an incidental additive used in food processing establishments (personal communication, emails from the Foods Directorate, Health Canada, to the Existing Substances Risk Assessment Bureau, Health Canada, dated March 14, 2016; unreferenced).

5. Releases to the environment

Canada’s National Pollutant Release Inventory (NPRI) estimates annual releases of silver and its compounds to the environment, annual quantities recycled, and annual quantities disposed. Reporting is mandatory for facilities meeting the reporting threshold, which includes facilities that manufacture, process, or otherwise use silver and its compounds at a concentration (of elemental silver) greater than or equal to 1% by weight (except for by-products and mine tailings) and in a quantity of 10 t or more, and where employees work 20 000 hours per year (ECCC 2018a).

Submissions to the NPRI from 2012 to 2017 indicate that in Canada, 37 facilities across 10 sectors and sources reported releases of silver to air, water or all media less than one tonne (NPRI 2019; Appendix C, Table C-1). Releases to land were not reported during the 6-year period but may be captured within the category of “all media less than one tonne.” The total release of silver to air from 2012 to 2017 from six reporting sources was low (1.8 t) and largely attributable to the base metal smelting and refining sector (1.3 t) and the non-conventional oil extraction sector (0.41 t). The other four sources reported negligible releases to air (less than or equal to 0.045 t). The total release of silver to water during the same 6-year period from five reporting sources was also low (0.74 t). The metal mining sector released 0.35 t of silver to water from eight facilities. Submissions to the “all media less than one tonne” category from 2012 to 2017 indicate that the total release of silver was also low (2.2 t) and mostly attributable to the base metal smelting and refining sector, while other sources released negligible quantities (less than or equal to 0.100 t). Therefore, the NPRI data indicates that silver was released to the environment in low quantities from public and industrial activities meeting the reporting threshold from 2012 to 2017.

Releases of silver to the environment may also occur from the manufacture, use, and disposal of silver-containing substances and products (e.g., batteries, electronics, silver-containing films), and from other activities (e.g., cloud seeding) (ATSDR 1990; Purcell and Peters 1998; WHO 2002; USGS 2018).

Historically, the photographic and radiographic film industries in Canada and other countries used silver extensively and were a significant source of silver releases to the environment (Health Canada 1986; Purcell and Peters 1998; WHO 2002). Freshwater monitoring data collected in proximity to one photographic manufacturing plant indicate concentrations of silver decreased to below the detection limit (<10 µg/L) from the 1970s to the 1990s (WHO 2002). Since silver’s peak use in these industries in 1999, uses declined due to changes in imaging technologies and consequently, releases to the environment decreased (USGS 2018; Metcalfe et al. 2018). Therefore, considering the decline in silver use by the photographic and radiographic industries, it is expected that releases of silver to the Canadian environment from these sources are low. Furthermore, effluents from these industries typically undergo municipal wastewater treatment where removal of silver is effective.

Disposal of consumer, commercial, and industrial silver-containing products may also release silver to the environment. Products such as various electronics (e.g., cell phones, circuit boards, etc.) and batteries are either recycled or ultimately disposed of in landfills.

Cloud seeding is another source of release of silver to the Canadian environment. Currently, there is one hail suppression program operating in Alberta, conducted by Weather Modification Inc. Since 1996, in an attempt to reduce damage caused by hail, the company has seeded a number of developing thunderstorms in the Calgary–Red Deer area between May and September of each year. It uses silver iodide as a seeding agent, and releases to the environment from this activity are low (average of 0.221 t of silver iodide per year and range of 0.0484  to 0.400 t of silver iodide from 1996 to 2018) (personal communication, email from the Alberta Severe Weather Management Society, to the Ecological Assessment Division, Environment and Climate Change Canada, dated March 21, 2019; unreferenced).

6. Environmental fate and behaviour

6.1 Environmental distribution

In the ambient atmosphere, silver and its compounds are expected to exist solely in the particulate phase and may be removed from the atmosphere via wet or dry deposition (HSDB 1983- ).

In the freshwater compartment, silver primarily exists as silver complexes (CCME 2015a; Kramer et al. 2007; Shafer et al. 1996; Wen et al. 1997). Free silver ions will rapidly complex with ligands in water such as sulfides, chlorides, natural organic matter (NOM), and suspended particles (Andren and Bober 2002; Bodek et al. 1988; CCME 2015a; Kramer et al. 2007; Ratte 1999; Shafer et al. 1996; Wen et al. 1997; Wood 2012). In estuarine and marine water, silver mainly forms AgCl complexes due to high concentrations of chloride ions, and complexes of AgCl, AgCl2-, or AgCl32- progressively predominate as water salinity increases (Miller and Bruland 1995; Ward and Kramer 2002; Wood et al. 2004; Wood 2012). When industrial and domestic wastewaters containing silver are treated at wastewater treatment systems , approximately 75% to 94% of silver will be transformed to insoluble silver sulfides and remain in the sludge (Bard et al. 1976; CCME 2015a; Lytle 1984; NAPM 1974; Pavlostathis and Maeng 1998; Shafer et al. 1998).

Silver may partition from water to sediment through adsorption to clay minerals and hydrous metal oxides, e.g., manganese and iron hydroxides, and through precipitation of insoluble compounds, e.g., silver sulfide (Bodek et al. 1988; Shafer et al. 1996). The partition coefficients (log Kd) for silver range from 1.20 to 6.32 (Flegal et al. 1997; HSDB 1983- ; Mueller-Harvey et al. 2007), indicating that silver compounds have a range of adsorption affinities to suspended solids and sediments under various environmental conditions. Silver adsorbed to suspended solids settles to sediments and may accumulate over time, and thus sediments may act as an active sink for silver in the aquatic environment and are unlikely to remobilize (Callahan et al. 1979; Donner et al. 2015). However, adsorbed silver ions may desorb and re-enter the water column upon contact with seawater (Bodek et al. 1988). It has also been suggested that the relatively large amounts of organic colloids in sea water remobilize silver ions from the particulate phase into the overlying waters (Bodek et al. 1988; Flegal et al. 1997). Volatilization from water surfaces is not expected to be an important fate process for silver (HSDB 1983- ).

Upon entering soil, silver will adsorb onto organic colloids, clay minerals, hydrous metal oxides, and sulfides (notably, acid-volatile sulfide or iron sulfide) (Bodek et al. 1988; Mueller-Harvey et al. 2007). The soil-water partition coefficient (log Ksw) of 2.79 summarized by Mueller-Harvey et al. (2007) indicates that silver will be moderately adsorbent to soil particles. Silver complexes with sulfides and dissolved organic carbon in soil and will remain in soil due to high adsorption (log Ksw of approximately 8.8 to 14.2) (Wood 2012). Volatilization from soil surfaces is not expected to be an important fate process for silver compounds based on their ionic nature and low vapour pressure values (HSDB 1983- ).

6.2 Environmental persistence

Silver generally exists as elemental silver and silver complexes in the environment.  Silver is considered persistent because it cannot degrade through processes such as photodegradation or biodegradation. However, silver can transform into different chemical species, e.g., by forming complexes with chlorides, sulfides, and biomolecules when entering the environment and organisms (Wood 2012), and it can partition among different phases within environmental compartments.

6.3 Potential for bioaccumulation

Silver is not an essential element for organisms. The assessment of silver bioaccumulation takes into account the speciation and bioavailability of silver in the environment. Bioavailability is discussed below with a focus on the silver moiety.

Silver bioaccumulation has been extensively reviewed in the Canadian Water Quality Guideline (CWQG) (CCME 2015a). It is recognized that the bioconcentration and bioaccumulation factor (BCF and BAF) approach for metals has been the subject of much debate and criticism because these factors are considered of little use in predicting metal hazards (McGeer et al. 2003; Schlekat et al. 2007). An inverse relationship between aquatic silver concentrations and BCFs and BAFs has been demonstrated (as exposure concentrations increased, BCFs and BAFs decreased) (McGeer et al. 2003; Lopez-Serrano et al. 2014). Therefore, BCF and BAF values were not the sole focus of the CWQG. Instead, silver bioavailability, bioaccumulation, and biomagnification via food chains were considered as overall lines of evidence in determining the bioaccumulation potential of silver. The silver CWQG report (CCME 2015a) determined that no evidence of silver biomagnification was found. Additional information not reviewed in the silver CWQG is summarized below.

The bioavailability and bioaccumulation of silver in the aquatic environment is mostly driven by the free silver ion (Ag+) which is the form that is ecotoxic to all aquatic organisms (Rodgers et al. 1997a, b). The silver ion may accumulate in organisms because it is compatible for uptake via cell membrane ion transporters (Fabrega et al. 2011; Luoma 2008). The uptake and accumulation of waterborne silver in aquatic organisms increases with elevated aqueous silver concentrations and, to a lesser degree, exposure duration (Brown et al. 2003; Bury et al. 2002; Carvalho et al. 1999; Couillard et al. 2008; Guevara et al. 2005; Lam and Wang 2006; Martin et al. 2017; Roditi and Fisher 1996; Rodgers et al. 1997a; Wood et al. 1996). Dietary exposure of silver is not considered a significant concern (CCME 2015a). The understanding of silver detoxification mechanisms in aquatic organisms is limited. Zimmermann et al. (2017) suggested that zebra mussels possess regulatory mechanisms to restrict silver bioaccumulation, with excess silver eliminated only after all binding sites are occupied. Martin et al. (2017) demonstrated that rapid binding with the cysteine-rich protein metallothionein in fish is the main pathway for detoxification due to the high affinity of silver for the thiol groups in metallothionein.

In the natural sediment environment, silver sulfide is considered the predominant form, with high levels of iron sulfides in sediments favouring the formation of silver sulfide (Hirsch 1998b). The low silver levels accumulated in tissues of sediment-dwelling organisms and the lack of effects observed when the organisms were exposed to silver sulfide at concentrations of 444 to 920 mg Ag/kg dw indicate that silver-sulfide complexes in sediments may not be bioavailable to organisms (Hirsch 1998b).

Limited data were available on silver uptake and bioaccumulation in terrestrial animals and plants. The predominant factor affecting the behaviour and bioavailability of silver in soils are sulfides, or acid-volatile sulfides, which complex with the free silver ion to form less bioavailable silver sulfides. Velicogna et al. (2017) investigated earthworm silver bioaccumulation in AgNO3-spiked field soil. The reported kinetic BAF was 0.74, which is in agreement with other studies conducted with terrestrial oligochaetes (Schlich et al. 2013). BAF values of similar range (1.12 to 6.40) were observed for other soil invertebrate species (Tourinho et al. 2016; Waalewijn-Kool et al. 2014). Silver uptake routes seem to be species-specific among soil organisms, with oral uptake being the primary route for earthworms compared to dermal uptake for soil isopods (Diez-Ortiz et al. 2015; Tourinho et al. 2016).

Plants accumulate silver primarily in the root systems, as demonstrated by the investigation of silver bioavailability in biosolids-amended soil to lettuce at environmentally relevant silver concentrations (Doolette 2015). Silver accumulation in shoots was not significant compared to roots. Cl- was found to react with Ag+ forming soluble/bioavailable Ag-chloro complexes until over-saturation occurred and AgCl precipitated (Doolette 2015).

A recent study by Yoo-iam et al. (2014) on silver biomagnification potential through a tropical freshwater food chain with green alga (Chlorella sp.), water flea (Moina macrocopa), silver barb (Barbonymus gonionotus), and blood worm (Chironomus spp.) further supported the CCME (2015a) determination that silver does not biomagnify. The calculated biotransference factor (BTF), or biomagnification factor (BMF) were within 0.02 to 0.46 from predators to prey, suggesting no biomagnification.

The present weight of evidence indicates that silver is rapidly taken up and accumulated in organs and other tissues by organisms. The accumulated silver is shown to be mostly bound to biomolecules such as metallothionein or detoxified in aquatic organisms. Silver regulation or detoxification mechanisms in sediment or soil-swelling organisms is unclear; the availability of free Ag+ could be reduced by forming inert silver sulfide in these environmental compartments, thus decreasing silver bioaccumulation by organisms. No evidence of biomagnification across food chains has been found for silver (CCME 2015a; McGeer et al. 2003; Ratte 1999; Terhaar et al. 1977; Yoo-iam et al. 2014).

7. Potential to cause ecological harm

7.1 Ecological effects assessment

7.1.1 Mode/mechanism of toxic action

The well-known mechanism of silver toxicity to freshwater organisms is related to its interference with the vital Na+ and Cl- uptake process (McGeer and Wood 1998; Morgan et al. 1997; Wood 2012). The mode of action of silver in both fresh and marine water fish has been discussed in detail in the CWQG (CCME 2015a). The primary mechanism of silver toxicity in freshwater fish is an almost total inhibition of Na+/K+-ATPase activity, resulting in the disruption of the functions of two key gill enzymes that are essential for ionoregulation (CCME 2015a; Hogstrand and Wood 1998; Webb and Wood 1998; Wood 2012). The main mode of toxicity in marine fish appears to involve osmoregulatory failure, as seen in freshwater fish, although marine fish have two possible target organs (gills and gut) and two possible target functions (branchial ionoregulation and gastrointestinal ionoregulation) (CCME 2015a; Wood 2012). It is shown that long-term exposure to silver in juvenile rainbow trout induced the production of the detoxifying protein metallothionein , suggesting fish liver offers some inherent protection against chronic silver toxicity (Hogstrand et al. 1996).

Like fish, freshwater invertebrates (e.g., Daphnia magna) exposed to silver also exhibited ionoregulatory disturbance (Bianchini and Wood 2003). The Na+/K+-ATPase inhibition in D. magna was directly related to silver hindering the whole body sodium uptake of the organism. However, the nature of the sodium uptake inhibition in D. magna was different from that in fish (competitive versus non-competitive in fish) (Bianchini and Wood 2003). Silver may also inhibit the reproduction of some invertebrate species by disrupting the synthesis of vitellogenin (Hook and Fisher 2001; Wood 2012).

In marine invertebrates, however, the exact mode of toxic action is unclear. Marine invertebrates did not exhibit osmoregulatory failure or ionoregulation impairment at the hemolymph level when exposed to silver. Instead, silver induced significant changes in the water content in the gills, hepatopancreas, or both, causing significant changes in Na+/K+-ATPase activity. Changes also occurred in both total and intracellular ion (Cl, Na+, K+, Mg2+, and Ca2+) concentrations in different tissues of marine invertebrates (Bianchini et al. 2005). It has been suggested that other mechanisms are involved in water and ion transport at the cell membrane that induces impairments in water and ion regulation at the cellular level in different tissues of marine invertebrates (Bianchini et al. 2005).

Silver uptake by freshwater algae has been suggested to occur via three mechanisms: (1) accidental cation transport; (2) transport through a system used for the uptake of other essential cations (e.g., Na+, K+, or Cu+); and (3) transport across cell membranes to the cytosol via passive diffusion directly through the lipid bilayer as a neutral AgCl complex (Lee et al. 2004). Once entering the algae cell, silver interferes specifically with sulfur-containing molecules (Leonardo et al. 2016; Ratte 1999), causing misfolding and damage of proteins by binding to thiol groups (Pillai et al. 2014). Silver can also interfere with the expression of proteins in ATP-synthesis and photosynthesis and can replace Cu+ in key proteins involved in those processes (Pillai et al. 2014). Leonardo et al. (2016) demonstrated that silver bound with molecules containing sulfur and was effectively detoxified upon entering the cytosol in the green microalga Coccomyxa actinabiotis at low concentrations (e.g., 10-5 mol/L). However, silver may enter the cytosol and chloroplasts at higher concentrations (e.g., > 10-4 mol/L), causing damage to the photosystem and inhibiting photosynthesis and growth (Leonardo et al. 2016).

Silver is considered to have strong fungicidal, algicidal, and bactericidal properties due to inhibition by Ag+ of thiol, P (phosphatase), S (arylsulfatase), and N (urease) enzymes (Domsch 1984; Falbe and Regitz 1992; NAPM 1974).

7.1.2 Toxicity-modifying factors (TMF)

The CCME reviewed potential toxicity-modifying factors for silver in accordance with their protocol for the derivation of water quality guidelines (CCME 2007) when developing the silver water quality guideline (CCME 2015a). The review determined that silver toxicity is correlated with concentrations of the free silver ion, Ag+; and therefore, factors affecting the free Ag+ availability are expected to modify its toxicity. Silver toxicity decreases considerably in natural water compared to tests with laboratory water. The complexation with various ligands and adsorption on fine suspended solids in natural waters reduce the availability of the free Ag+ (CCME 2015a; Erickson et al. 1998; Wood 2012).

Sulfide complexation and, to a lesser degree, thiosulfate complexation are the predominant factors influencing silver speciation in the environment and can mitigate silver toxicity (Bianchini and Bowles 2002; Bianchini and Wood 2008; CCME 2015a).

NOM in natural water is another important ligand that can form large Ag-NOM complexes, rendering the silver less bioavailable (CCME 2015a; Erickson et al. 1998). When studying silver effects on three species of microorganisms, Gonzalez et al. (2015) found that silver complexation with dissolved NOM was most pronounced at low concentrations, long exposure time, and high dissolved organic carbon (DOC), illustrating the strong protective role of NOM.

The protective effects of Cl- could be species-specific for freshwater organisms and is an important factor in reducing silver toxicity to marine organisms, as high chloride concentrations favours the formation of less toxic Ag-chloro complexes (Bury and Wood 1999; CCME 2015a; Galvez and Wood 1997; Hogstrand et al. 1996; McGeer and Wood 1998; Ratte 1999).

The effect of pH (i.e., H3O+) on silver toxicity is unclear. It has been speculated that the effects caused by pH were due to its interaction with DOC, which reduced H+ leaving increased DOC for silver complexation (CCME 2015a).

Several biotic ligand models (BLMs) have been developed to predict the acute toxicity of silver to freshwater organisms. The merit of three such models for silver have been reviewed in the recent CWQG for silver (CCME 2015a). These models were considered useful candidates in generating short-term toxicity estimates under site-specific conditions. However, no BLM is available for predicting the chronic toxicity of silver to freshwater organisms (CCME 2015a; Wood 2012).

7.1.3 Effects on aquatic organisms

The speciation of silver is a crucial factor in its potential to cause aquatic toxicity. While insoluble or complexed silver compounds have low toxicity to aquatic organisms, the high toxicity of silver has long been known to be due to the free Ag+ ion (Bury and Wood 1999; Hogstrand et al. 1996; Karen et al. 1999; Leblanc et al. 1984; Ratte 1999; Rodgers et al. 1997a, b). Readily soluble salts such as silver nitrate are used in laboratory toxicity studies and produce effects in freshwater organisms at low concentrations due to the release of free Ag+ ions (Hogstrand et al. 1996; Rodgers et al. 1997a, b). Other silver salts (e.g., thiosulfate, sulfide, chloride, etc.) were found to be much less toxic than silver nitrate (LeBlanc et al. 1984; Hogstrand et al. 1996; Rodgers et al. 1997a,b). This is likely due to the proportion of total silver in the exposure medium that is the free Ag+ ion.

Data on the toxicity of silver to freshwater organisms are summarized in Table 7-1. This dataset includes data collected from the literature up to 2013 for the derivation of the CWQG (CCME 2015b). An additional literature search on silver toxicity data from 2014 to 2017 was conducted for the purpose of this screening assessment. The updated literature search retrieved approximately 100 additional journal articles on silver toxicity and bioaccumulation (in various environmental media). All studies were critically reviewed, and only data from high-quality studies were considered.

In acute toxicity tests, cladocerans and green algae are among the most sensitive species to silver compared to fish and aquatic insects or other invertebrate groups (CCME 2015a). Fish at the early larvae and juvenile life stages are more sensitive to silver toxicity than adult fish, particularly the rainbow trout (Oncorhynchus mykiss) and fathead minnow (Pimephales promelas) (Table 7-1) (CCME 2015b). In chronic toxicity tests, fish, invertebrates and aquatic plants displayed similar sensitivity to silver in the range of 0.32 µg/L to 23 µg/L, with the exception of the most tolerant invertebrate species, midge (Chironomus tentans), with a 10-day no effect concentration for reproduction at 125 µg/L (Table 7-1) (CCME 2015b; Rodgers et al. 1997b). It was hypothesized that the complexation of silver by food particles in long-term toxicity tests of invertebrates reduced silver bioavailability (Wood et al. 2002).

Table 7-1. Summary of available silver toxicity data to freshwater organisms
Group Effect Acute or chronic Effect concentration range (µg/L)a Referenceb
Fish Mortality Acute 1.48 to 280 Auffan et al. 2014; Asmonaite et al. 2016; CCME 2015b; Ribeiro et al. 2014
Invertebrates Mortality Acute 0.11 to 5030 Banumathi et al. 2017; CCME 2015b; Domingues 2016; Khan et al. 2015; Mackevica et al. 2015; Mehennaoui et al. 2016; Rainville et al. 2014; Ribeiro et al. 2015; Seitz et al. 2015
Algae/plants Growth Acute 1.29 to 248.2 CCME 2015b; Li et al. 2015; Navarro et al. 2015; Sorensen and Baun 2015
Protozoan Mortality Acute 8.8 CCME 2015b
Fish Growth/mortality Chronic 0.24 to 23 CCME 2015b
Invertebrates Reproduction/growth Chronic 0.78 to 125 CCME 2015b; Ribeiro et al. 2014
Algae/plants Growth Chronic 0.63 to 6 CCME 2015b; Sekine et al. 2015; Sorensen and Baun 2015

The effect concentrations included are for toxicity tests performed using AgNO3.
b Unless otherwise listed, references cited as CCME (2015b) refer to the dataset presented in Appendix A of the CWQG (CCME 2015b).

The long-term CWQG for silver for the protection of freshwater organisms (CCME 2015a) is 0.25 μg/L. This guideline value is based on a species sensitivity distribution (SSD) approach using chronic toxicity data for 9 aquatic species (i.e., 4 fish, 4 invertebrates, and 1 aquatic plant), and the guideline represents the HC5 (5th percentile) of the distribution.

New toxicity data for freshwater organisms obtained since the publication of the silver long-term (chronic) CWQG support the value of 0.25 μg/L as protective of freshwater aquatic organisms (Asmonaite et al. 2016; Call et al. 1997, 1999, 2006; Domingues 2016; Khan et al. 2015; Li et al. 2015; Mackevica et al. 2015; Mehennaoui et al. 2016; Navarro et al. 2015; Rainville et al. 2014; Ribeiro et al. 2015; Seitz et al. 2015; Sekine et al. 2015; Shen et al. 2015; Sorensen and Baun 2015; Xin et al. 2015; Yoo-iam et al. 2014; Zhang et al. 2015). Therefore, a freshwater predicted no-effect concentration (PNECfreshwater) of 0.25 μg/L (total silver) will be used for the risk characterization.

7.1.4 Effects on marine organisms

The high chloride content in seawater reduces silver toxicity to marine organisms by forming less soluble and less bioavailable Ag-chloro complexes (Ferguson and Hogstrand 1998; Ratte 1999).

The data on silver toxicity to marine organisms available in the silver CWQG (CCME 2015b) are summarized in Table 7-2. In acute toxicity tests with marine water, invertebrates and algae are more sensitive to silver than fish (CCME 2015b). In chronic toxicity tests, the red alga Champia parvula was found to be the most sensitive species to silver toxicity, while fish species were the least sensitive (CCME 2015b).

Table 7-2. Summary of available silver toxicity data to marine water organisms
Group Effect Acute or chronic Effect concentration range (µg/L)a Referenceb
Fish Mortality/ embryo development Acute 100 to 1876 Auffan et al. 2014; CCME 2015b; Matson et al. 2016
Invertebrates Mortality/ embryo development Acute 5.8 to 647 CCME 2015b; Khodaparast 2015; Martin et al. 1981
Algae/plants Growth Acute 21 to 86c CCME 2015b
Fish Growth/ mortality Chronic 19 to 1000 CCME 2015b
Invertebrates Reproduction/growth Chronic 3.9 to 100 Chan and Chiu 2015; CCME 2015b
Algae Growth/yield Chronic 2.5 to > 20 Steele and Thursby 1995; Sanders and Abbe 1989

a   Unless otherwise mentioned, the effect concentrations included are for toxicity tests performed using AgNO3.
b Unless otherwise listed, references cited as CCME (2015b) refer to the dataset presented in Appendix A of the CWQG (CCME 2015b).
c The effect concentrations included are for toxicity tests performed using metallic silver and reported as lethal effect, LC50.

A short-term CWQG for the protection of marine water organisms (CCME 2015a) of 7.5 μg/L (total silver) is available, but there were insufficient data to derive a long-term marine guideline (CCME 2015a). Acute toxicity studies on saltwater organisms published after the data collection period of the CWQG were collected and reviewed (Auffan et al. 2014; Berry et al. 1999; Magesky and Pelletier 2015; Martin et al. 1981; Matson et al. 2016). The new toxicity data for saltwater organisms were consistent with the short-term CWQG. Additional chronic toxicity data found for marine algae (Sanders and Abbe 1989) are not enough for an SSD approach for deriving a chronic marine PNEC due to lack of long-term toxicity data for marine fish (CCME 2007).

An assessment factor (AF) approach (Okonski et al. 2021) was used in this screening assessment to derive a long-term PNEC for marine organisms. Short- and long-term silver toxicity data in estuarine and marine water were standardized (Okonski et al. 2021). The lowest standardized value was used as the critical toxicity value (CTV). The 48-hour LC50 of 5.8 µg/L in Eastern oyster (Crassostrea virginica) at 25 ppt salinity (Calabrese et al. 1977) was the selected CTV. An AF of 10 was applied, which considers an endpoint standardization factor of 10 to extrapolate from an acute median lethal effect to a long-term sub-lethal no effect concentration. A factor of 1 each was also applied to account for species variation and mode of action, respectively, because data were available for a large number of species representing multiple categories of organisms. These result in a chronic PNECmarine water of 0.58 µg/L.

7.1.5 Effects on sediment organisms

Bioavailability and toxicity of silver to benthic organisms in freshwater sediments depend strongly on the physical-chemical properties of the sediments (e.g., pH, organic carbon, cation exchange capacity, the amounts of silt and clay, and acid volatile sulfides) (Call et al. 2006; Rodgers et al. 1995; Hirsch 1998a; Yoo et al. 2004). In studies of silver bioavailability to Hyalella azteca in AgNO3-spiked field sediments, the 10-day LC50 based on total acid-extractable silver ranged from 1.62 mg/kg dw to 2980 mg/kg dw, and 10-day no observed effect  (NOEC) and lowest observed effect concentration (LOEC) for reduced growth ranged from 12 to 2150 mg/kg dw, and 31 to 4310 mg/kg dw, respectively (Appendix E) (Call et al. 2006; Rodgers et al. 1997a). Lower silver toxicity was found in sediments having higher pH and greater amounts of organic matter, clay, cation-exchange capacity, and acid-volatile sulfides (Call et al. 2006; Rodgers et al. 1997a). This large difference in toxicity indicates major impacts of differential adsorption and subsequent bioavailability.

Ligand complexation significantly affects silver bioavailability and toxicity (Call et al. 2006; Hirsch 1998a; Rodgers et al. 1997a). In experiments with the freshwater amphipod H. azteca, field sediments were enriched with AgNO3, AgCl, Ag2S, and silver thiosulfate complex [Ag(S2O3)n (69% Ag)]. Effects on amphipods exposed to AgNO3-spiked sediments occurred at much lower concentrations, with 10-day LC50 values between 1.62 and 2980 mg/kg dw. In comparison, no adverse effects were observed in sediments spiked with AgCl, Ag2S, and Ag(S2O3)n at maximum test concentrations ranging from 753 to 2560 mg/kg dw (Hirsch 1998a; Rodgers et al. 1997a). The considerably reduced toxicity of the latter three silver-containing substances is likely due to ligand complexation leading to reduced bioavailability.

Silver toxicity to sediment organisms is also species-dependent. Chironomus sp. larvae and C. tentans were much less sensitive to silver toxicity than Hyalella sp. (Call et al. 1997, 1999, 2006; Ewell et al. 1993).

Rajala et al. (2016) investigated exposure of blackworms (Lumbriculus variegatus) to AgNO3in an artificial sediment and two samples of natural sediments. Adverse effects on blackworm reproduction and number of worms at the end of 28-day tests were observed in artificial sediments with a 28-day median inhibition concentration (IC50) (reproduction) of 23.9 mg/kg dw and a 28-day median effect concentration (EC50) (number of worms) of 38 mg/kg dw. The higher silver toxicity in the artificial sediments, compared to the natural sediments, was attributed to the lower organic carbon and sulfide levels resulting in lower silver complexation, as well as a direct spike method to avoid Ag+ complexation with Cl- in overlying water.

The sediment PNEC derivation followed an AF approach (Okonski et al. 2021). The lowest toxicity value after standardization was a 10-day LC50 of 1.62 mg/kg with H. azteca (Rodgers et al. 1997a) obtained with sediments of extremely low silver complexing ligands. In this study, the silver concentration in overlying water reached 9.7 µg/L on day 10, comparable to the water-only 96-hour LC50 of 6.8 µg/L for the same organism (Rodgers et al. 1997b). It is possible that water exposure was the primary route of silver toxicity observed in H. azteca, and this data point is therefore inappropriate for use as the CTV. The second lowest toxicity value after standardization, the chronic 28-day IC50 (reproduction) of 23.9 mg/kg dw in blackworms (Rajala et al. 2016), was chosen as the CTV for silver toxicity to sediment-dwelling organisms. The CTV is divided by a factor of 5 to extrapolate from a median effects level concentration to a lowest or no observed effect concentration, and it is further divided by another factor of 5 and 1 to account for variation in species sensitivity and mode of action, respectively, resulting in an overall AF of 25. Therefore,

Chronic PNECsediments= 23.9 / (5 x 5 x 1) = 1.0 mg AgTotal/kg (or µg/g, dw)

7.1.6 Effects on soil-dwelling organisms

AgNO3 is the silver salt most commonly used in laboratory soil toxicity tests due to its high water solubility and ready dissociation to release the Ag+ ion. Ag2S is considered the predominant silver species in soil and biosolids (Doolette 2015; Jesmer et al. 2016).

Soil toxicity studies on silver with plants (red clover, Trifolium pratense L., and northern wheatgrass, Elymus lanceolatus), and terrestrial invertebrates (earthworm, Eisenia andrei, and springtail, Folsomia candida) were performed by the Environment Canada Soil Toxicology Lab (ECSTL 2011). All tests were conducted in a sandy loam soil following ECCC biological test methods (Environment Canada 2004, 2005, 2007). For the plants, growth (i.e., root/shoot dry mass, length) was the most sensitive endpoint (Appendix F). Plant emergence was not a sensitive endpoint with both plants showing no effect at the highest concentration tested (3014 mg/kg dw). For both invertebrates, reproduction and growth were the more sensitive endpoints relative to survival (Appendix F).

Mixed factors in soil physical-chemical properties (e.g., pH, organic carbon, cation exchange capacity, and the amounts of silt and clay) affect silver bioavailability and toxicity to soil organisms and plants (Appendix F). Velicogna et al. (2016) reported that the highest toxicity for clover dry mass was observed in a sandy loam soil, while the highest toxicity for plant emergence and plant length were observed in a silt loam soil. Similar trends were evident for wheatgrass dry mass and emergence. Langdon et al. (2015) investigated barley (Hordeum vulgare) and tomato (Lycopersicum esculentum) growth on eight field soils with varying properties including sand and clay contents, percent organic matter, pH, and cation exchange capacity. Reported EC10 for barley root length and tomato emergence varied up to about 13-fold. Silver toxicity to soil invertebrates was less variable with changing soil properties compared to plants, with median effect endpoints (E(L)C50) varying approximately 2- to 4-fold in sandy- and silt loam soils (ECSTL 2011; Mendes et al. 2015; Novo et al. 2015; Schlich et al. 2013; Velicogna et al. 2016; Waalewijn-Kool et al. 2014).

Chronic toxicity data for silver to soil organisms were compiled and evaluated. The dataset is adequate for a long-term SSD approach as specified in the CCME protocol on deriving a soil quality guideline for soil contact (i.e., for the protection of plants and invertebrates) (CCME 2006a). Toxicity endpoints considered reliable are summarized in Appendix F. Table 7-3 lists the dataset that was used for a long-term SSD using the software ssdtools version 0.3.3 (Dalgarno 2018) (Figure 7-1). When more than one acceptable endpoint of comparable test condition and effect was available for an individual species, the geometric mean was calculated. Plants are more sensitive to silver than soil invertebrates, with the exception of earthworms (Table 7-3, Appendix F). Growth endpoints for plants and reproduction endpoints for soil invertebrates are more sensitive endpoints relative to survival.

Table 7-3. Key soil toxicity studies considered in determining a critical toxicity value for soil
Group Test organism Endpoint Valuea (mg/kg dw) Reference
Plant Barley (Hordeum vulgare) 5-day EC10, root length 25 Langdon et al. 2015
Plant Northern wheatgrass (Elymus lanceolatus) 21-day EC10, root/shoot dry mass 3 ECSTL 2011
Plant Red clover (Trifolium pratense L.) 14-day EC10, root/shoot dry mass 1 ECSTL 2011
Plant Tomato (Lycopersicum esculentum) 21-day EC10, emergence 6.6 Langdon et al. 2015
Invertebrates Earthworm (Eisenia andrei) 56-day EC10, reproduction 2 ECSTL 2011
Invertebrates Earthworm (Eisenia andrei) 56-day EC10, dry mass 11 ECSTL 2011
Invertebrates Pot worm (Enchytraeus crypticus) 21-day EC10, reproduction 38 Bicho et al. 2016
Invertebrates Pot worm (Enchytraeus crypticus) 11-day EC10, hatching 42 Bicho et al. 2016
Invertebrates Pot worm (Enchytraeus crypticus) 25-day EC10, growth 69 Bicho et al. 2016
Invertebrates Springtail (Folsomia candida) 28-day EC10, reproduction 20b ECSTL 2011
Invertebrates Springtail (Folsomia candida) 28-day EC10, reproduction 31b Mendes et al. 2015
Invertebrates Springtail (Folsomia candida) 28-day EC10, reproduction 47.6b Waalewijn-Kool et al. 2014

Abbreviations: dw = dry weight; EC10 = the concentration of a stressor that is estimated to be effective in producing a biological response, other than mortality, in 10% of the test organisms over a specific time interval.
a The toxicity endpoints listed are for soil toxicity tests performed with AgNO3 and are used in the SSD approach in deriving a silver soil PNEC. The full dataset of soil toxicity studies found to be reliable is summarized in Appendix F.
b Geometric means calculated for the SSD data points.

See long description below.
Figure 7‑1. Species sensitivity distribution for long-term silver soil toxicity. The averaged model fit to data is shown on the graph, along with the 95% confidence interval and 5th percentile of the distribution (HC5).
Long description

Figure 7-1 illustrates the species sensitivity distribution based on chronic toxicity data causing non-lethal effect to 10% of the soil-dwelling organisms tested (data presented in Table 7-3). The chronic SSD is used to derive the silver critical toxicity value for soil-dwelling organisms. The averaged model fit (i.e., normal, logistic, gamma) species sensitivity distributions to the data is shown on the graph, along with the 95% confidence intervals. 9 out of the 10 data points fit inside the 95% confidence intervals of the curve fit. The 5th percentile of the average distribution (HC5) was calculated at 0.81 mg/kg and selected as the long-term soil PNEC for silver after an assessment factor of 1 was applied. This figure shows that the sensitivity of the soil-dwelling organisms to silver follow a S-shaped curve. The order of species sensitivity shown in the figure is described in the table below:

Group Test organism Endpoint Value a (mg/kg dw)
Plant Red clover (Trifolium pratense L.) 14-day EC10, root/shoot dry mass 1
Invertebrates Earthworm (Eisenia andrei) 56-day EC10, reproduction 2
Plant Northern wheatgrass (Elymus lanceolatus) 21-day EC10, root/shoot dry mass 3
Plant Tomato (Lycopersicum esculentum) 21-day EC10, emergence 6.6
Invertebrates Earthworm (Eisenia andrei) 56-day EC10, dry mass 11
Plant Barley (Hordeum vulgare) 5-day EC10, root length 25
Invertebrates Springtail (Folsomia candida) 28-day EC10, reproduction 30.9b
Invertebrates Pot worm (Enchytraeus crypticus) 21-day EC10, reproduction 38
Invertebrates Pot worm (Enchytraeus crypticus) 11-day EC10, hatching 42
Invertebrates Pot worm (Enchytraeus crypticus) 25-day EC10, growth 69

Abbreviations: dw = dry weight; EC10 = the concentration of a stressor that is estimated to be effective in producing a biological response, other than mortality, in 10% of the test organisms over a specific time interval.
a The toxicity endpoints listed are for soil toxicity tests performed with AgNO3 and are used in the SSD approach in deriving a silver soil PNEC. The full dataset of soil toxicity studies found to be reliable is summarized in Appendix F.
b The value shown is the geometric mean of the three data points presented in Table 7-3.

Model averaged (i.e., normal, logistic, gamma) SSDs and associated statistics including the HC5 (5th percentile, representing the hazardous concentration to 5% of soil-dwelling organisms) were generated using the ssdtools software (Dalgarno 2018). The estimated HC5 of the average distribution is 0.81 mg/kg (Figure 7-1). A factor of 1 each was applied to account for endpoint standardization, species variation, and mode of action, respectively, because data were available for a large number of species representing multiple categories of organisms. This value is selected as the PNEC for long-term silver soil toxicity.

Chronic PNECsoil = 0.81 mg AgTotal/kg (or µg/g, dw)

7.2 Ecological exposure assessment

7.2.1 Approach for exposure characterization

Considering the analyses of sources, uses and releases of silver to the Canadian environment (sections 4.2 and 5), exposure scenarios were developed for the following four sources: (1) metal mining; (2) base metals smelting and refining (BMS); (3) wastewater; and (4) waste disposal. The metal mining and BMS sectors are implicated in the production of silver. Wastewater systems (WWS) receive consumer, commercial, and industrial effluents that may contain silver, and therefore, treated effluents from WWSs may release silver to the environment.Footnote 7 Finally, silver-containing products may be disposed of in landfills and silver may enter the environment through leachates. Exposure scenarios were not developed for other activities as the information available at the time of the development of this screening assessment indicates that releases of silver to the environment from other activities are negligible.

Measured concentration data were the preferred choice to represent predicted environmental concentrations (PECs) of silver in various environmental compartments. This type of data was available for the receiving environments of the metal mining and base metal smelting and refining sectors. Where measured concentration data were not available, PECs were modeled from other types of data.

PECs for wastewater effluents and leachate concentrations were calculated from effluent/leachate concentrations (Ca), as described in the equation below. Median background concentrations (Cb) for silver were derived for corresponding ecozones and the Great Lakes (Table D-1, Appendix D). A dilution factor appropriate for the given waterbody was applied to reflect conditions near the discharge point and capped at a maximum of 10. Background concentrations were accounted for to reflect the natural presence of silver at the discharge point.

PEC (μg/L)=Cb (μg/L)+Ca (μg/L)DF

The exposure characterization considers dissolved silver concentrations, where available, and total silver concentrations. Non-detects were substituted with one-half method detection limit (MDL).

7.2.2 Background concentrations of silver

Silver is a trace element in the Earth’s crust with estimated concentrations ranging from 0.07 mg/kg (Yaroshevsky 2006) to 0.1 mg/kg (Purcell and Peters 1998). Ambient concentrations of silver in the atmosphere are unavailable, but WHO (2002) has estimated that typical urban air concentrations of silver would be less than 0.00005 mg/m3. Background concentrations of silver in fresh waters vary; they are the highest near mineral deposits (Purcell and Peters 1998), but are generally in the sub-μg/L range.

Background concentration ranges (expressed as normal ranges) and medians of total silver (AgT) in fresh waters were estimated by Kilgour & Associates Ltd. (2016) for Canadian ecozones using water quality monitoring data from various federal and provincial sources.Footnote 8 Only samples considered to be in reference condition, according to the approach outlined in Proulx et al. (2018), were included in the derivation of these statistics (see Appendix D). Median background concentrations of AgT were also estimated for an additional ecozone, the Taiga Shield, following the same approach (Kilgour & Associates Ltd. 2016; Proulx et al. 2018) and using federal water quality monitoring data (NLTWQM 2016) as well as for Lake Erie, Lake Ontario, and Lake Superior using samples taken during the period of 2005 to 2015.  In all cases, non-detect measurements were treated prior to analysis by substituting with one-half the reported MDL. Background median concentrations were highest in the Mixedwood Plains ecozone. Concentrations in the Great Lakes were especially low (medians of 0.0005 µg AgT/L, which are non-detects substituted by one-half MDL).

The normal ranges estimated by Kilgour & Associates Ltd. (2016) include the upper inner tolerance limit (ITL) (i.e., the maximum expected background concentration in this assessment). The ITLs for various ecozones are presented in Appendix D. The ITLs for four ecozones (i.e., Boreal Plains, Boreal Shield, Mixedwood Plains, and Prairies) exceed the freshwater PNEC (0.25 µg/L).

Background concentrations of silver in the marine environment are anticipated to be low. Median background concentrations of silver in the North Pacific and North Atlantic oceans were estimated using data collected at depths of up to 50 m from sampling sites in proximity to Canada’s Pacific and Atlantic coasts. The median background concentrations for dissolved silver (AgD) in the North Pacific Ocean and total silver in the North Atlantic Ocean are 0.0011 µg AgD/L (n=22) (Kramer et al. 2011) and 0.00032 µg AgT/L (n=9) (Rivera-Duarte et al. 1999), respectively.

7.2.3 Metal mining

Exposure of ecological receptors to silver may occur through metal mining activities that release effluents into surface waters. The Metal and Diamond Mining Effluent Regulations (MDMER) prescribe the maximum authorized concentration limits for deleterious substances in mine effluent. Environmental effects monitoring (EEM) is also required by the MDMER, which includes analyzing certain water quality and sediment parameters in exposure and reference areas. Silver is not a parameter monitored under the MDMER; however, EEM studies submitted to ECCC may contain additional information, including data for AgT and AgD concentrations in effluents, exposure areas, and reference areas. According to the most recent status report on the performance of metal mines subject to the Regulations, at least 22 sites involving metal mining activities were associated with silver production in 2017 (ECCC 2018b). Between these sites there are 18 sites which have EEM studies providing freshwater concentrations of silver.

Silver freshwater data were systematically extracted from the EEM studies (up to 2018) available for 18 of the sites that are involved in silver production. For each site, the most recent report was investigated first. If the most recent report did not contain silver data, the next most recent report was investigated and so on. If the most recent report contained freshwater concentrations of silver that were in excess of the freshwater PNEC (0.25 µg AgT/L), all data from previous reports, if any, were also extracted for analysis. If the most recent report did not contain freshwater concentrations of silver in excess of the freshwater PNEC, previous reports were not investigated. Overall, 3 of the 18 sites have silver concentrations above the freshwater PNEC. Data for two of the sites are presented in Table 7-4 (one of the sites was excluded, as the corresponding mine has been closed for over 5 years). It is important to note that MDLs across the EEM studies investigated here (i.e., 0.005 to 0.20 µg/L) were below the freshwater PNEC of 0.25 µg AgT/L. Silver was not detected in the majority of freshwater samples.

Table 7-4. Silver freshwater concentrations in exposure and reference areas of metal mines subject to the Metal and Diamond Mining Effluent Regulationsa
Site Area type Period Fraction Sample size Percentage of detects PEC range (µg/L) PEC median (µg/L)
Site 1 Exposure 2010 to 2012; 2015 to 2018 T 82 65% <0.01 to 9.94 0.02
Site 1 Exposure 2015 to 2018 D 46 9% <0.01 to 0.035 <0.10
Site 1 Reference 2010 to 2012; 2015 to 2018 T 116 29% <0.01 to 0.231 <0.10
Site 1 Reference 2015 to 2018 D 70 7% <0.01 to 0.075 <0.10
Site 2b Exposure 2004, 2007, 2011 T 19 10% <0.02 to <10 <0.10
Site 2b Exposure 2004, 2011 D 13 23% <0.01 to 0.2 <0.10
Site 2b Reference 2004, 2007, 2009 T 13 7.7% <0.10 to 0.30 <0.10
Site 2b Reference 2004, 2007 D 10 0% <0.10 <0.10

Abbreviations: T, total; D, dissolved.
a Data were extracted from EEM studies (EEM 2021)
b Site 2 activities includes those from base metal smelting and refining (i.e., Site 2 in section 7.2.5).

Silver concentrations in sediments were extracted from the most recent EEM studies (up to 2020). Exposure and reference area data were available for 12 silver producers. Table 7-5 presents data for the sites where concentrations in the exposure area exceed the sediment PNEC of 1.0 µg/g dw. Concentrations of silver in Site 2 exposure area sediments may have increased up to 2011 and remained comparable in 2018 (range of <0.2 to 6.4 mg/kg, average of 2.6 mg/kg in 2004; range of 0.3 to 8.8 mg/kg, average of 3.6 mg/kg in 2007; range of 0.45 to 21 mg/kg, average of 13 mg/kg in 2011; range of 4.13 to 12.5 mg/kg, average of 8.4 mg/kg in 2018).

Table 7-5. Silver sediment concentrations in exposure and reference areas of metal mines subject to the Metal and Diamond Mining Effluent Regulationsa
Site Area type Period Sample depth (cm) Sample size Percen-tage of detects PEC range (µg/g dw) PEC median (µg/g dw)
Site 2b Exposure 2004, 2007, 2011, 2018 0 to approx. 10c 29 93% <0.20 to 21 6.0
Site 2b Reference 2004, 2007, 2009 0 to approx. 10c 10 70% < 0.20 to 1.25 0.90
Site 3 Exposure 2018 NR 5 100% 0.691 to 6.05 2.18
Site 3 Reference 2018 NR 2 100% 0.294 to 0.350 0.322
Site 4 Exposure 2005, 2019 NR 10 100% 0.46 to 8.4 1.95
Site 4 Reference 2005, 2019 NR 10 90% <0.2 to  2.5 1.05
Site 5 Exposure 2017 NR 4 100 1.44 to 2.53 2.28
Site 5 Reference 2017 NR 4 100 1.40 to 1.35 1.29

Abbreviations: NR, not reported.
a Data were extracted from EEM studies (EEM 2021)
b Site 2 activities include those from base metal smelting and refining (i.e., also Site 2 in section 7.2.5).
c Estimated based on the maximum bite depth of the Petite Ponar Grab sampler (Caires and Chandra 2011).

7.2.4 Base metal smelting and refining

Currently, there are 10 base metal smelting  and refining (BMS) facilities in Canada, some of which produce pure silver and silver-containing products. Five BMS facilities are subject to the MDMER because they combine their effluents with those of metal mines. Information on freshwater concentrations of silver was extracted from the associated EEM studies (up to 2018), where available (Table 7-6). Similar to the metal mining facilities, MDLs across the EEM studies investigated here were below the freshwater PNEC (0.25 µg AgT/L) and the majority of the silver freshwater concentration data were non-detects (i.e., below the MDL).

Table 7-6. Silver freshwater exposure and reference areas of base metal smelting activities subject to the Metal and Diamond Mining Effluent Regulationsa
Site Area type Period Fraction Sample size Percentage of detects PEC range (µg/L) PEC Median (µg/L)
Site 1 Exposure 2008, 2010 T 7 14% <0.10 to 0.16 <0.10
Site 1 Reference 2008, 2010 T 11 9% <0.10 to 0.18 <0.10
Site 2b Exposure 2004, 2007, 2011 T 19 10% <0.02 to <10 <0.10
Site 2b Exposure 2004, 2011 D 13 23% <0.01 to 0.2 <0.10
Site 2b Reference 2004, 2007, 2009 T 13 7.7% <0.10 to 0.30 <0.10
Site 2b Reference 2004, 2007 D 10 0% <0.10 <0.10
Site 3 Exposure 2005, 2008, 2012 T 12 50% <0.010 to 0.50 <0.10
Site 3 Reference 2005, 2008, 2012 T 12 50% <0.010 to 0.50 <0.10
Site 4 Exposure 2015 T 6 17% <0.010 to 0.016 <0.010
Site 4 Exposure 2015 D 6 0% <0.010 <0.010
Site 4 Reference 2015 T 5 20% <0.010 to 0.011 <0.010
Site 4 Reference 2015 D 5 0% <0.010 <0.010

Abbreviations: T, total; D, dissolved.
a Data were extracted from EEM studies (EEM 2021)
b Site 2 represents releases of BMS and metal mining effluent (i.e., Site 2 in section 7.2.4).

Silver concentrations in sediments were extracted from the most recent EEM studies (up to 2020). Exposure and reference area concentrations were available for four BMS associated with silver producers (Table 7-7). The data for Site 2, which represents releases of BMS and metal mining effluent, is in excess of the sediment PNEC derived for this assessment. As noted in section 7.2.4, concentrations of silver in the exposure area sediments of Site 2 appear to have increased up to 2011 and remained comparable in 2018.

Table 7-7. Silver sediment concentrations in exposure and reference areas of base metal smelting and refining activities subject to the Metal and Diamond Mining Effluent Regulationsa
Site Area type Period Sample depth (cm) Sample size Percentage of detects PEC range (µg/g dw) PEC median (µg/g dw)
Site 1 Exposure 2013, 2018 NA 10 0% <0.5 <0.5
Site 1 Reference 2013, 2018 NA 12 0% <0.5 <0.5
Site 2b Exposure 2004, 2007, 2011, 2018 0 to approx. 10c 29 93% <0.20 to 21 6.0
Site 2b Reference 2004, 2007, 2009 0 to approx. 10c 10 70% <0.20 to 1.25 0.90
Site 3 Exposure 1 2008, 2012 NA 13 100% 0.06 to 0.476 0.23
Site 3 Reference 2008, 2012 NA 8 62% <0.05 to 0.201 0.07
Site 4 Exposure 2011, 2015 0 to 4.0 20 100% 0.12 to 0.26 0.18
Site 4 Reference 2011, 2015 0 to 4.0 20 90% <0.10 to  0.25 0.20

Abbreviations: NA, not available.
a Data were extracted from EEM studies (EEM 2021).
b Site 2 activities includes those from metal mining activities (i.e., Site 2 in section 7.2.4).
c Estimated based on the maximum bite depth of the Petite Ponar Grab sampler (Caires and Chandra 2011).

Data for one facility not subject to the MDMER were extracted from a comprehensive monitoring report (EEC Ltd and LAC Ltd 2014). Freshwater concentrations of AgT and AgD at two locations upstream and at three locations downstream of the site were measured (Table 7-8). All concentrations were below MDL (0.02 µg/L or 0.05 µg/L). Sediment data were also available in this report for three upstream reference areas and five downstream exposure areas for October 2012 (Table 7-8). Concentrations of silver in the exposure area sediments are elevated (0.6 to 5.7 mg/kg) compared to those in the reference areas (<0.2 mg/kg).

Table 7-8. Silver freshwater and sediment concentrations in exposure and reference areas of one base metal smelting facility not subject to the Metal and Diamond Mining Effluent Regulations (EEC Ltd and LAC Ltd 2014)
Compartment Area type Period Fraction Sample size Percentage of detects PEC range (µg/L or µg/g dw) PEC median (µg/L or µg/g dw)
Freshwater Exposure 2012-2016 T 337 0% <0.005 to <0.02 <0.005
Freshwater Exposure 2012-2016 D 337 0% <0.005 to <0.02 <0.005
Freshwater Reference 2012-2016 T 71 0% <0.005 to <0.02 <0.005
Freshwater Reference 2012-2016 D 71 0% <0.005 to <0.02 <0.005
Sedimenta Exposure 2012 E 7 100% 0.6 to 5.7 1.4
Sedimenta Reference 2012 E 3 0% <0.2 0.1

Abbreviations: T, total; D, dissolved; E, strong acid extractable.
a Concentrations reflect the first 0 to 15 cm of homogenized cores.

7.2.5 Wastewater

Silver may be present in wastewaters generated from consumer, commercial, and industrial sources and therefore may be a constituent of the influent received by WWSs. Municipal by-laws concerning the discharge of wastewater (i.e., influents) to WWSs may prescribe limits for silver concentrations in influents entering storm, sanitary, and combined sewers. For some major Canadian cities, these limits range from 0.05 to 5.0 mg AgT/L.Footnote 9 Because WWS  processes do not use silver compounds, the treatment processes do not contribute to the silver content of the effluents released into the environment. The federal Wastewater System Effluent Regulations (Canada [modified 2015]) do not prescribe final effluent limits for silver.

Empirical monitoring data for silver in influents, effluents, and biosolids were collected under the CMP Environmental Monitoring and Surveillance Program from 36 WWSs located across Canada from February 2009 to 2014 and 2018 to 2019 (Environment Canada 2013b; Environment Canada 2015; ECCC 2019). Results from this initiative show that influent concentrations of total silver (AgT) are low and that there is a high degree of partitioning to solids (Environment Canada 2013b). Total silver concentrations (AgT) were detected in 64 of 191 influent samples and in 30 of 191 final effluent samples, with maximums of 6.55 and 2.55 μg/L, respectively, of the 25 WWSs sampled from 2009 to 2012. The median removal value for AgT was 88.6% (N = 64 paired influent and effluent samples). The biosolid samples contained AgT in the range of μg/g, indicating high removal during treatment processes. Although influent and effluent samples were collected as 24-hour composites, they may not accurately represent the removal value for silver since the hydraulic retention times of the facilities were not accounted for during sampling (i.e., the amount of time it takes water to pass through a given WWS). Final effluent concentrations of AgT were low and frequently below detection limits. Unfiltered samples were digested and analyzed for total silver using inductively coupled plasma methods as per standard methods (APHA et al. 2005). The MDLs for effluent quantitation were 0.0005 μg/L, 0.005 µg/L or 0.02 µg/L for AgD and AgT.

Figures 7-2 and 7-3 present dissolved and total silver PECs for 21 and 36 WWSs that release effluent to either the freshwater (FW) or the marine water (MW) environment (see section 7.2.6 for more details on the PEC calculations). Effluent non-detect data were substituted with one-half MDL.

See long description below.
Figure 7‑2. Box plots of modelled aquatic dissolved silver concentrations for 22 wastewater systems from 2013 to 2014 and 2018 (Environment Canada 2015, ECCC 2019).
Long description

Figure 7-2 presents box plots of modelled aquatic dissolved copper concentrations for 22 wastewater systems from 2013 to 2014 and 2018 (Environment Canada 2015, ECCC 2019). The following table presents the sample sizes, detection frequencies, minima, first quartiles, 50th percentiles, third quartiles, 95th percentiles, and maxima:

Facility number Sample size (n =) Detection frequency (%) Minimum (µg/L) First quantile (µg/L) 50th percentile (µg/L) Third quantile (µg/L) 95th percentile (µg/L) Maximum (µg/L)
F2 Advanced (FW) 9 33 0.0012 0.0012 0.0012 0.0012 0.0021 0.0021
F3 Advanced (FW) 3 33 0.0010 0.0010 0.0010 0.0010 0.0012 0.0012
F4 Advanced (MW) 3 0 0.00034 0.00034 0.00034 0.00034 0.00034 0.00034
F6 Lagoon (FW) 9 67 0.52 0.52 0.52 0.52 0.54 0.54
F7 Lagoon (FW) 3 67 0.52 0.52 0.52 0.52 0.52 0.52
F9 Lagoon (FW) 3 100 0.52 0.52 0.52 0.52 0.52 0.52
F11 Lagoon (FW) 6 0 0.050 0.050 0.050 0.050 0.050 0.050
F13 Lagoon (FW) 15 53 0.11 0.11 0.11 0.11 0.12 0.13
F14 Lagoon (FW) 6 100 0.52 0.52 0.52 0.52 0.53 0.53
F16 Lagoon (FW) 6 100 0.52 0.52 0.53 0.52 0.54 0.54
F19 Primary (FW) 6 0 0.52 0.52 0.52 0.52 0.52 0.52
F20 Primary (MW) 3 0 0.00057 0.00057 0.00057 0.00057 0.00057 0.00057
F21 Primary (MW) 1 100 0.011 0.011 0.011 0.011 0.011 0.011
F22 Primary (MW) 3 33 0.00057 0.00057 0.00057 0.00057 0.0014 0.0015
F24 Secondary (FW) 3 100 0.52 0.52 0.52 0.52 0.52 0.52
F25 Secondary (FW) 6 50 0.050 0.050 0.053 0.050 0.058 0.058
F26 Secondary (FW) 3 100 0.52 0.52 0.52 0.52 0.52 0.52
F27 Secondary (FW) 9 67 0.52 0.52 0.52 0.52 0.52 0.52
F32 Secondary (FW) 3 67 0.52 0.52 0.52 0.52 0.52 0.52
F33 Secondary (FW) 10 70 0.0012 0.0015 0.0050 0.0015 0.040 0.041
F36 Secondary (MW) 3 100 0.00092 0.00092 0.00092 0.00092 0.0011 0.0011
See long description below.
Figure 7‑3. Box plots of modelled aquatic total silver concentrations for 36 wastewater systems from 201309 to 2014 and 2018 (Environment Canada 2013b, Environment Canada 2015, ECCC 2019).

See Figure 7-2 for an explanation of the data presentation in the box plots.

Long description

Figure 7-3 presents box plots of modelled aquatic total silver concentrations for 36 wastewater systems from 2009 to 2014 and 2018 (Environment Canada 2013, Environment Canada 2015, ECCC 2019). The following table presents the sample sizes, detection frequencies, minima, first quartiles, 50th percentiles, third quartiles, 95th percentiles, and maxima:

Facility number (box plots) Sample size (n =) Detection frequency (%) Minimum (µg/L) First quantile (µg/L) 50th percentile (µg/L) Third quantile (µg/L) 95th percentile (µg/L) Maximum (µg/L)
F1 Advanced (FW) 12 0 0.050 0.051 0.051 0.051 0.051 0.051
F2 Advanced (FW) 21 57 0.0012 0.0012 0.0022 0.022 0.042 0.065
F3 Advanced (FW) 3 100 0.0012 0.0012 0.0012 0.0012 0.0012 0.0012
F4 Advanced (MW) 3 67 0.00034 0.00043 0.00052 0.00052 0.00052 0.00052
F5 Lagoon (FW) 5 0 0.11 0.11 0.11 0.11 0.11 0.11
F6 Lagoon (FW) 21 29 0.52 0.52 0.52 0.52 0.54 0.56
F7 Lagoon (FW) 3 100 0.52 0.52 0.52 0.52 0.52 0.52
F8 Lagoon (FW) 6 0 0.050 0.050 0.050 0.050 0.051 0.051
F9 Lagoon (FW) 3 100 0.52 0.52 0.52 0.52 0.52 0.52
F10 Lagoon (FW) 6 0 0.52 0.52 0.52 0.52 0.52 0.52
F11 Lagoon (FW) 18 17 0.050 0.050 0.051 0.051 0.064 0.066
F12 Lagoon (FW) 6 0 0.52 0.52 0.52 0.52 0.52 0.52
F13 Lagoon (FW) 21 57 0.11 0.11 0.11 0.12 0.20 0.22
F14 Lagoon (FW) 6 100 0.53 0.53 0.54 0.55 0.56 0.55
F15 Lagoon (FW) 6 0 0.0030 0.0030 0.0030 0.0030 0.0030 0.0030
F16 Lagoon (FW) 6 100 0.53 0.53 0.54 0.54 0.54 0.54
F17 Lagoon (MW) 6 50 0.0013 0.0013 0.0035 0.0061 0.0066 0.0067
F18 Primary (FW) 6 50 0.52 0.52 0.52 0.53 0.55 0.55
F19 Primary (FW) 18 17 0.52 0.52 0.52 0.52 0.61 0.62
F20 Primary (MW) 9 33 0.0013 0.0013 0.0013 0.0064 0.0081 0.0087
F21 Primary (MW) 12 75 0.0021 0.024 0.051 0.070 0.18 0.18
F22 Primary (MW) 3 100 0.0019 0.0065 0.011 0.011 0.012 0.012
F23 Secondary (FW) 6 0 0.0020 0.0020 0.0020 0.0020 0.0020 0.0020
F24 Secondary (FW) 3 100 0.52 0.52 0.52 0.52 0.52 0.52
F25 Secondary (FW) 12 25 0.050 0.051 0.051 0.055 0.079 0.085
F26 Secondary (FW) 3 100 0.52 0.52 0.52 0.52 0.52 0.52
F27 Secondary (FW) 9 100 0.52 0.52 0.52 0.53 0.54 0.55
F28 Secondary (FW) 12 33 0.00075 0.0015 0.0015 0.012 0.031 0.050
F29 Secondary (FW) 6 50 0.52 0.52 0.58 0.65 0.74 0.77
F30 Secondary (FW) 6 50 0.52 0.52 0.52 0.53 0.56 0.56
F31 Secondary (FW) 6 33 0.0020 0.0020 0.0020 0.0034 0.029 0.038
F32 Secondary (FW) 3 100 0.52 0.52 0.52 0.52 0.52 0.52
F33 Secondary (FW) 24 50 0.0012 0.0012 0.0029 0.023 0.034 0.036
F34 Secondary (FW) 6 0 0.0020 0.0020 0.0020 0.0020 0.0020 0.0020
F35 Secondary (FW) 6 50 0.051 0.051 0.060 0.083 0.089 0.090
F36 Secondary (MW) 15 20 0.00057 0.0011 0.0013 0.0013 0.0016 0.0017

Silver was not detected in the final effluents of the majority of WWSs. In some cases, silver was detected in the final effluents less than 50% of the time. WWSs within the Mixedwood Plains ecozone have the highest PECs possibly related to the relatively high median background concentration of silver (i.e., 0.52 µg AgT/L) compared to other ecozones.

Total silver was detected in most solid samples (307 of 325) collected at the 25 WWSs (Environment Canada 2013b). Concentrations of AgT in primary sludge, secondary sludge, and biosolids ranged from <0.0005 to 18.3 µg/g, from <0.0005 to 8.19 µg/g, and from <0.0002 to 16.4 µg/g, respectively. Biosolids from WWSs are sent to landfills, incinerated, or spread on agricultural land. The equation below was used to estimate the input of silver to soils through the land application of biosolids containing silver.

PEC= AgT concentration in biosolids x application rate x number of yearsmixing depth x soil density

To simulate a conservative exposure scenario for soil-dwelling organisms, a maximum application rate of 8300 kg dw per hectare (dw/ha) per year (based on the highest existing provincial regulatory limit; Environment Canada 2006), a mixing depth of 0.2 m (plough depth; ECHA 2012) and a soil density of 1200 kg/m3 were used (Williams 1999), along with the highest concentration of silver measured in biosolids (16.4 mg/kg dw) from WWSs in Canada that are not incinerated. A period of 10 consecutive years was chosen as the length of accumulation (ECHA 2012). The cumulative silver concentration in soil at the end of this period is 0.6 mg/kg (or 0.6 µg/g) dw.

7.2.6 Waste disposal

Silver contained in products, manufactured items, or other materials (e.g., contaminated soils) that are disposed of in landfills may leach out and release silver to the environment. Monitoring data were collected at 14 larger landfills across Canada between 2008 and 2014 (Conestoga-Rovers and Associates 2015) and in 2020 (ECCC 2020) under the CMP monitoring program. Total and dissolved silver concentrations were measured in leachates before treatment, and for some landfills, after treatment. MDLs ranged from 0.001 to 10 µg Ag/L.

Prior to treatment, concentrations in leachates ranged from <0.005 to 3.00 µg AgT/LFootnote 10 (median of <1 µg AgT/L; n=116; N=14)Footnote 11 and from <0.005 to 1.21 µg AgD/L (median of 0.011 µg AgD/L; n=47; N=5). Post-treatment concentrations ranged from <0.005 to 0.547 µg AgT/L (median of <1 µg AgT/L; n=26; N=5) and from <0.005 to 0.182 µg AgD/L (median of <0.005 µg AgD/L; n=1). Twelve landfills send their leachates to WWSs while three landfills release their leachates, treated (N=2) or untreated (N=1), directly to the environment. Concentrations of silver were not detected in leachates released directly to the environment, possibly due to high MDLs (<1  to <10 µg AgT/L, median of <1 µg AgT/L; n=26). Table 7-9 presents the PECs generated for these three landfills (see section 7.2.6 for more details on the PEC calculations).

Table 7-9. Landfill leachate predicted environmental concentrations based on pre- or post-treatment leachates measured from larger municipal landfills throughout Canada which release directly to the environment from 2008 to 2014 (Conestoga-Rovers and Associates 2015) and in 2020 (ECCC 2020)
Landfill site Measurement type Sample size (% detects) Pre-treatment range (µg /L) Post-treatment range (µg/L) Median background concen-tration (µg/L) PEC range (µg/L) PEC median (µg/L)
1 Total 6 (0%) <0.10 to <10 NR 0.11 0.12 to 0.61 0.16
2 Total 6 (0%); 6 (0%) <0.10 to <10 <0.10 to <10 0.050 0.055 to 0.55 0.10
3 Total 6 (0%); 3 (0%) <0.10 to <10 <0.10 to <10 0.52 0.52 to 1.0 0.57

Abbreviations: NR: not reported.

7.3 Characterization of ecological risk

The approach taken in this characterization of ecological risk involved the examination of assessment information and development of conclusions using a weight-of-evidence approach and precaution. Evidence was gathered to determine the potential for silver and its compounds to cause harm in the Canadian environment. Lines of evidence considered include those evaluated in this screening assessment that support the characterization of ecological risk in the Canadian environment.

7.3.1 Risk quotient analysis

Risk quotient (RQ) analyses involved comparing estimates of exposure, with ecotoxicity information to determine whether there is potential for ecological harm in the Canadian environment. RQs were derived by dividing the predicted environmental concentrations (PECs) from the exposure scenarios by the predicted no-effect concentrations (PNECs) for the appropriate environmental compartments. RQs for metal mining, base metal smelting and refining, wastewater, and landfill disposal are presented below (Table 7-10). Non-detect concentrations (i.e., PECs below the method detection limit (MDL)) were substituted with one-half the MDL before calculating RQs.

Table 7-10. Summary of risk quotients obtained for different environmental compartments and exposure scenarios for silver and its compounds
Sector Source (number of facilities or sites) Compartment Fraction PEC range (µg/L or µg/g dw) Range of median PECs (µg/L or µg/g dw) RQ range Range of median RQs
Metal mining (N=2)a Water T <0.003-9.94b 0.02 to 0.05 0.0006 to 40b 0.04 to 0.2
Metal mining (N=2)a Water D <0.01 to 0.20 0.05 0.02 to 0.8 0.2
Metal mining (N=4)c Sediment E <0.20 to 21 1.95 to 6.0 0.1 to 21 1.95 to 6.0
Base metal smelting and refining (N=4)d Water T <0.01 to 0.5 0.005 to 0.05 0.02 to 2 0.02 to 0.2
Base metal smelting and refining (N=4)d Water D <0.01 to 0.2 0.005 to 0.05 0.02 to 0.8 0.02 to 0.2
Base metal smelting and refining (N=4)d Sediment T, E 0.06 to 21 0.18 to 6.0 0.06 to 21 0.18 to 6.0
Base metal smelting and refining (N=1)e Water T <0.005 to <0.02 0.0025 0.01 to 0.04 0.01
Base metal smelting and refining (N=1)e Water D <0.005 to <0.02 0.0025 0.01 to 0.04 0.01
Base metal smelting and refining (N=1)e Sediment E 0.6 to 5.7 1.4 0.6 to 5.7 1.4
Wastewater treatment (biosolids land-application) (N=1)f Soil T 0.6 N/A 0.7 N/A
Waste disposal (N=3)g Water T 0.055 to 1.0 0.10 to 0.57 0.22 to 4.1 0.40 to 2.3

Abbreviations: T, total; D, dissolved; E, strong acid extractable; N/A, not applicable; dw, dry weight.
a One of these sites (Site 2) includes base metal smelting activities.
b The highest detect value is reported.
c This site includes metal mining activities.
d These BMS activities are subject to the MDMER because their effluents are combined with those from metal mining activities; upper end of the range is based on non-detect values.
e This BMS facility is not subject to the MDMER.
f One PEC was generated from a conservative land application exposure scenario using the maximum concentration of silver detected in biosolids (i.e., 16.4 µg AgT/g dw).
g These three landfills release directly to the environment (i.e., do not pass through a WWS first); all of the PECs were derived from non-detect concentrations.

Regarding the metal mining sector (data were available for 18 sites that produce silver) and the base metal smelters subject to the MDMER (four sites), the RQs developed for exposure of ecological receptors to silver in the freshwater compartment suggest low potential for ecological harm. For the analyses using total silver concentrations, RQs greater than 1 are infrequent and of low magnitude (5 of 43 for metal mining Site 1; 2 of 19 for metal mining and base metal smelting Site 2; 2 of 12 for base metal smelting Site 3) and if accompanied by corresponding dissolved silver concentrations, the RQs for dissolved silver are less than 1. Further, the majority of the water concentration data collected from the EEM studies of the 18 sites were non-detects (for total and dissolved concentrations). However, when comparing concentrations of extractable silver in sediments of the exposure areas to the sediment PNEC (1.0 mg AgT/kg dw), potential ecological harm is found for two sites (metal mining and BMS Site 2 and metal mining Site 3). The exposure concentrations for these sites are also elevated (e.g., Site 2; n=29; median PEC=6.0 mg/kg) compared to upstream reference area concentrations (e.g., Site 2; n=10; median PEC=0.9 mg/kg). Potential for ecological harm in sediments is also observed at metal mining sites 4 and 5; however, reference sediments have comparable silver concentrations.

The RQ analysis of one base metal smelter not subject to the MDMER indicates low potential ecological harm in the freshwater compartment. However, it indicates potential ecological harm in the sediment compartment. These exposure concentrations (n=7; median PEC=1.4 mg/kg) are also elevated compared to upstream reference area concentrations (n=3; median PEC<0.2 mg/kg).

For wastewaters, 10 of 22 wastewater systems (WWSs) and 15 of 36 WWSs with AgD and AgT effluent concentrations, respectively, have RQs greater than 1  in the freshwater compartment (Figures 7-4 and 7-5). All of these facilities are located in the Mixedwood Plains ecozone, which has naturally elevated background concentrations of silver (the maximum expected background concentration of AgT is 2.1 µg/L). The median background concentration of AgT used to model the PECs for facilities in this ecozone (0.52 AgT/L) is already greater than the aquatic PNEC (0.25 µg Ag/L). Given that modeled PECs are higher than the PNEC due to relatively high background median concentrations of AgT and that effluent concentrations are generally low (range of <0.005 to 0.420 µg AgD/L, <0.005 to 2.52 µg AgT/L), the risk characterization of wastewaters indicates low potential for ecological harm in the freshwater compartment. No data are available for the sediment compartment downstream of WWSs. A conservative exposure scenario for concentrations of silver in soil following the application of silver-containing biosolids to land (0.6 µg AgT/g, dw) resulted in an RQ below 1 when comparing it to the chronic PNEC generated for soil organisms (0.81 µg AgT/g,dw). Therefore, ecological risk in the soil compartment is not expected following land application of silver-containing biosolids from WWSs.

See long description below.
Figure 7‑4. Box plots of risk quotients based on modelled aquatic dissolved silver concentrations for 22 wastewater systems from 2013 to 2014 and 2018 (Environment Canada 2015, ECCC 2019).

See Figure 7-2 for an explanation of the data presentation in the box plots.

Long description

Figure 7-4 presents box plots of risk quotients based on modelled aquatic dissolved silver concentrations for 22 wastewater systems from 2013 to 2014 and 2018 (Environment Canada 2015, ECCC 2019). The following table presents the sample sizes, detection frequencies, minima, first quartiles, 50th percentiles, third quartiles, 95th percentiles, and maxima:

Facility number (box plots) Sample size (n =) Detection frequency (%) Minimum (µg/L) First quantile (µg/L) 50th percentile (µg/L) Third quantile (µg/L) 95th percentile (µg/L) Maximum (µg/L)
F2 Advanced (FW) 9 33 0.005 0.005 0.005 0.0068 0.0084 0.0084
F3 Advanced (FW) 3 33 0.0041 0.0041 0.0041 0.0044 0.0047 0.0048
F4 Advanced (MW) 3 0 0.00060 0.00060 0.00060 0.00060 0.00060 0.00060
F6 Lagoon (FW) 9 67 2.1 2.1 2.1 2.1 2.1 2.1
F7 Lagoon (FW) 3 67 2.1 2.1 2.1 2.1 2.1 2.1
F9 Lagoon (FW) 3 100 2.1 2.1 2.1 2.1 2.1 2.1
F11 Lagoon (FW) 6 0 0.20 0.20 0.20 0.20 0.20 0.20
F13 Lagoon (FW) 15 53 0.44 0.44 0.44 0.45 0.47 0.51
F14 Lagoon (FW) 6 100 2.1 2.1 2.1 2.1 2.1 2.1
F16 Lagoon (FW) 6 100 2.1 2.1 2.1 2.1 2.1 2.1
F19 Primary (FW) 6 0 2.1 2.1 2.1 2.1 2.1 2.1
F20 Primary (MW) 3 0 0.00098 0.00098 0.00098 0.00098 0.00098 0.00098
F21 Primary (MW) 1 100 0.020 0.020 0.019655 0.019655 0.019655 0.019655
F22 Primary (MW) 3 33 0.000983 0.000983 0.000983 0.001802 0.002457 0.002621
F24 Secondary (FW) 3 100 2.0816 2.0822 2.0828 2.0838 2.0846 2.0848
F25 Secondary (FW) 6 50 0.201 0.201 0.2105 0.2248 0.2321 0.234
F26 Secondary (FW) 3 100 2.0808 2.081 2.0812 2.0812 2.0812 2.0812
F27 Secondary (FW) 9 67 2.0808 2.081 2.081 2.082 2.09176 2.0924
F32 Secondary (FW) 3 67 2.0801 2.08045 2.0808 2.081 2.08116 2.0812
F33 Secondary (FW) 10 70 0.005 0.00605 0.0198 0.1082 0.16012 0.1648
F36 Secondary (MW) 3 100 0.001586 0.001586 0.001586 0.001759 0.001897 0.001931
See long description below.
Figure 7‑5. Box plots of risk quotients based on modelled aquatic total silver concentrations for 36 wastewater systems from 2009 to 2014 and 2018 (Environment Canada 2013b, Environment Canada 2015, ECCC 2019).

See Figure 7-2 for an explanation of the data presentation in the box plots.

Long description

Figure 7-5 presents box plots of risk quotients based on modelled aquatic total silver concentrations for 36 wastewater systems from 2009 to 2014 and 2018 (Environment Canada 2013, Environment Canada 2015, ECCC 2019). The following table presents the sample sizes, detection frequencies, minima, first quartiles, 50th percentiles, third quartiles, 95th percentiles, and maxima:

Facility number (box plots) Sample size (n =) Detection frequency (%) Minimum (µg/L) First quantile (µg/L) 50th percentile (µg/L) Third quantile (µg/L) 95th percentile (µg/L) Maximum (µg/L)
F1 Advanced (FW) 12 0 0.20 0.20 0.20 0.20 0.20 0.20
F2 Advanced (FW) 21 57 0.0050 0.0050 0.0088 0.088 0.17 0.28
F3 Advanced (FW) 3 100 0.0048 0.0048 0.0048 0.0048 0.0048 0.0048
F4 Advanced (MW) 3 67 0.00060 0.00075 0.00090 0.00090 0.00090 0.00090
F5 Lagoon (FW) 5 0 0.44 0.44 0.44 0.44 0.44 0.44
F6 Lagoon (FW) 21 29 2.1 2.1 2.1 2.1 2.2 2.2
F7 Lagoon (FW) 3 100 2.1 2.1 2.1 2.1 2.1 2.1
F8 Lagoon (FW) 6 0 0.20 0.20 0.20 0.20 0.20 0.20
F9 Lagoon (FW) 3 100 2.1 2.1 2.1 2.1 2.1 2.1
F10 Lagoon (FW) 6 0 2.1 2.1 2.1 2.1 2.1 2.1
F11 Lagoon (FW) 18 17 0.20 0.20 0.20 0.20 0.26 0.26
F12 Lagoon (FW) 6 0 2.1 2.1 2.1 2.1 2.1 2.1
F13 Lagoon (FW) 21 57 0.44 0.44 0.44 0.47 0.79 0.89
F14 Lagoon (FW) 6 100 2.1 2.1 2.1 2.2 2.2 2.2
F15 Lagoon (FW) 6 0 0.012 0.012 0.012 0.012 0.012 0.012
F16 Lagoon (FW) 6 100 2.1 2.1 2.2 2.2 2.2 2.2
F17 Lagoon (MW) 6 50 0.0023 0.0023 0.0061 0.010 0.011 0.012
F18 Primary (FW) 6 50 2.1 2.1 2.1 2.1 2.2 2.2
F19 Primary (FW) 18 17 2.1 2.1 2.1 2.1 2.4 2.5
F20 Primary (MW) 9 33 0.0023 0.0023 0.0023 0.011 0.014 0.015
F21 Primary (MW) 12 75 0.0036 0.041 0.087 0.12 0.31 0.32
F22 Primary (MW) 3 100 0.00331 0.011 0.019 0.020 0.020 0.020
F23 Secondary (FW) 6 0 0.0080 0.0080 0.0080 0.0080 0.0080 0.0080
F24 Secondary (FW) 3 100 2.1 2.1 2.1 2.1 2.1 2.1
F25 Secondary (FW) 12 25 0.20 0.20 0.20 0.22 0.32 0.34
F26 Secondary (FW) 3 100 2.1 2.1 2.1 2.1 2.1 2.1
F27 Secondary (FW) 9 100 2.1 2.1 2.1 2.1 2.2 2.2
F28 Secondary (FW) 12 33 0.0030 0.0060 0.0060 0.050 0.12 0.20
F29 Secondary (FW) 6 50 2.1 2.1 2.3 2.6 3.0 3.1
F30 Secondary (FW) 6 50 2.1 2.1 2.1 2.1 2.2 2.3
F31 Secondary (FW) 6 33 0.0080 0.0080 0.0080 0.013 0.12 0.15
F32 Secondary (FW) 3 100 2.1 2.1 2.1 2.1 2.1 2.1
F33 Secondary (FW) 24 50 0.0050 0.0050 0.012 0.093 0.14 0.14
F34 Secondary (FW) 6 0 0.0080 0.0080 0.0080 0.0080 0.0080 0.0080
F35 Secondary (FW) 6 50 0.20 0.20 0.24 0.33 0.36 0.36
F36 Secondary (MW) 15 20 0.00098 0.0018 0.0023 0.0023 0.0028 0.0030

Risk characterization of landfill leachate releases is based on the three landfills that release directly to the freshwater compartment. The RQ analysis indicates a potential for ecological harm in the freshwater compartment, but the PECs were derived from non-detect data, as all measurements of total silver in the leachates of these sites are non-detects (<0.1 to <10 µg/L). In addition, one landfill is situated in the Mixedwood Plains ecozone, where the median and maximum expected background concentrations are greater than the freshwater PNEC. Therefore, the contribution of this source to the potential ecological harm identified in freshwater is expected to be low.

7.3.2 Consideration of the lines of evidence

To characterize the ecological risk of silver and its compounds, technical information for various lines of evidence was considered (as discussed in the relevant sections of this screening assessment) and qualitatively weighted. The key lines of evidence supporting the assessment conclusion are presented in Table 7-11, with an overall discussion of the weight of evidence provided in section 7.3.3. The level of confidence refers to the combined influence of data quality and variability, data gaps, causality, plausibility, and any extrapolation required within the line of evidence. The relevance refers to the impact the line of evidence has when determining the potential to cause harm in the Canadian environment. Qualifiers used in the analysis ranged from low to high, with the assigned weight having five possible outcomes.

Table 7-11. Weighted lines of key evidence used for the ecological assessment of silver and its compounds
Line of evidence Level of confidencea Relevance in assessmentb Weight assignedc
Persistence High High High
Bioaccumulation in aquatic and/or terrestrial organisms High High High
PNEC for aquatic organisms in freshwater High High High
PNEC for aquatic organisms in marine water Moderate Moderate Moderate
PNEC for benthic organisms in sediment Moderate Moderate Moderate
PNEC for organisms in soil High High High
PECs based on measurements in freshwater – metal mining High High High
PECs based on measurements in freshwater – base metal smelting and refining High High High
PECs modelled for freshwater – wastewaters Moderate Moderate Moderate
PECs modelled for freshwater – waste disposal Low Moderate Low to moderate
PECs based on measurements in sediment – metal mining Moderate Moderate Moderate
PECs based on measurements in sediment – base metal smelting and refining Moderate Moderate Moderate
PEC modelled for soil – land application of biosolids Moderate Moderate Moderate
RQs for freshwater – metal mining High High High
RQs for freshwater – base metal smelting and refining High High High
RQs for freshwater – wastewaters Moderate Moderate Moderate
RQs for freshwater – waste disposal Low Moderate Low to moderate
RQs for sediment – metal mining Moderate Moderate Moderate
RQs for sediment – base metal smelting Moderate Moderate Moderate
RQ for soil – land application of biosolids (wastewaters ) Moderate Moderate Moderate

Abbreviations: PNEC, predicted no-effect concentration; PEC, predicted environmental concentration; RQ, risk quotient.
a Level of confidence is determined according to data quality, data variability, and data gaps (i.e., are the data fit for purpose).
b Relevance refers to the impact of the evidence in the assessment.
c Weight is assigned to each line of evidence according to the overall combined weights for level of confidence and relevance in the assessment.

7.3.3 Weight of evidence for determining potential to cause harm to the Canadian environment

Once released into the environment, substances containing silver may dissolve, dissociate, or degrade to release silver into the environment. Silver is persistent because it is an element and, as such, cannot break down further. It can therefore accumulate in the environment and result in long-term exposure of organisms. Organisms can accumulate silver in tissues and internal organs, but they have mechanisms to regulate concentrations and detoxify. It also does not biomagnify across trophic levels. Silver is not an essential element for organism health.

When released into the air compartment, silver occurs as a constituent of particulate matter. From there, it is deposited on fresh waters or land. Following release to the freshwater compartment, silver is mostly associated with particulate forms and is rapidly incorporated into sediments. Resuspension of sediments can resupply total silver to overlying waters but is less likely to resupply free silver concentrations given silver’s high affinity to bind to particles. For the same reason, silver deposited to land is not likely to be remobilized into other compartments. Therefore, releases of silver to air and water are anticipated to ultimately accumulate in soils and sediments.

It was determined that there is low potential for ecological harm from the release of silver to fresh water from metal mining, base metal smelting and refining (BMS), wastewaters, and waste disposal. Instances of PNEC exceedances were either infrequent or associated with non-detects.

There may be moderate ecological harm caused by silver in sediment. Sediment data are available for four of five BMS sites subject to the MDMER, of which only one site (Site 2) has downstream sediment concentrations of silver in excess of the sediment PNEC (n=29, median=6.0 µg/g). This site also represents metal mining activities. It is unclear whether these concentrations increased from 2004 to 2011 and remained stable to 2018, or if they represent variability in the exposure area, because the sediment cores were not obtained in the same locations between years. Some reference area concentrations also exceed the sediment PNEC, but at a lower frequency (median=0.9µg/g). Some concentrations of silver in the sediments downstream of the BMS facility not subject to the MDMER are also slightly above the sediment PNEC. Sediment data for four sites associated with mining activity also show elevated downstream concentrations (compared to reference concentrations) that exceed the PNEC, but are based on limited datasets. The median silver sediment concentration downstream from the BMS facility not subject to the MDMER was 1.4 µg/g, which is in exceedance of the sediment PNEC. Low amounts of complexing ligands (e.g., low organic carbon and clay contents) reported at the sampling location may suggest higher potential for silver bioavailability to benthic organisms at the vicinity of the exposure area. Considering the datasets are small and either have weak temporal and spatial correlations or are limited to one year, the weight assigned is moderate. Furthermore, the silver sediment PNEC assumes high silver bioavailability due to a low amount of silver complexing ligands and may be considered conservative for metal mining and BMS Site 2 but considered relevant for the BMS facility not subject to the MDMER.

Given silver’s high affinity for binding to particles, WWSs have high removal values. A conservative risk characterization scenario for the land application of silver-containing biosolids indicates low potential for ecological harm in the soil compartment.

This information indicates that silver and its compounds have low potential to cause ecological harm in the freshwater and soil compartments in Canada. Silver and its compounds have a moderate potential to cause ecological harm in the sediment compartment, but confidence in this line of evidence is reduced due to uncertainties around the sediment PNEC and bioavailability of sediment-bound silver (see section 7.3.4 for further discussion of uncertainties).

While exposure of the environment to silver is not of concern at current levels, silver may have an environmental effect of concern given its potential to cause adverse effects on sediment-dwelling organisms at low concentrations. Therefore, there may be a concern for the environment if exposures were to increase.

7.3.4 Sensitivity of conclusion to key uncertainties

The key uncertainties associated with the ecological risk characterization, including information gaps, PECs, PNECs, RQs, and their impact on the conclusion, are discussed below.

Identification of key sectors and data availability

While there is a wide variety of known uses of silver and silver-containing substances, relatively little information is available for their manufacture, import, and uses in Canada. However, the conclusion is not sensitive to this because the NPRI is expected to capture significant potential releases of silver to the environment associated with specific facilities and industrial activities. According to the NPRI data for 2012 to 2017, releases are low.

The data used in the exposure scenarios for the four sources examined in this screening assessment are not comprehensive. Only about one-fifth of the over 100 metal mines in Canada (ECCC 2018b) and about one-third of the 13 active BMS facilities had data to consider in this assessment. However, given that silver is a precious metal, there is incentive to limit releases into the environment. The exposure scenarios for wastewaters and waste disposal included relatively small subsets of Canada’s many WWSs and landfills. For wastewater systems (WWSs), the subset of systems was selected to be representative of Canadian wastewater treatment types and of different locations around the country (e.g., Atlantic, Central, and Western Canada). The majority of Canada’s wastewater (by volume) receives secondary level of treatment, and the most prevalent method of wastewater treatment by number of systems is lagoons, which is reflected by the WWSs included in the exposure assessment (personal communication, email from the Emerging Priorities Division, Environment and Climate Change Canada, to the Ecological Assessment Division, Environment and Climate Change Canada, dated January 16, 2020; unreferenced). The subset of sites for landfills is also considered representative because it includes some of the largest landfills in Canada.

Representativeness of PNECs and PECs

The silver PNECs for all environmental compartments derived in this screening assessment are primarily based on laboratory toxicity studies conducted with highly soluble Ag salts (mainly AgNO3) that readily dissociate and release the free Ag+ ion, which is the most bioavailable and toxic form of silver. Typically, toxicity test media are also of extremely low ionic strength and have low amounts of organic matter and complexing ligands that mitigate toxicity. In the environment, bioavailable forms of silver are anticipated to be low due to silver’s high affinity to complex with sulfides, NOM, chlorides, clay, metal oxides, and various particulates, thus rendering them less bioavailable and less toxic to aquatic and terrestrial organisms. The PNECs do not incorporate toxicity-modifying factors and are therefore conservative and may not provide realistic site-specific ecotoxicity thresholds. This is noticeable when comparing the freshwater PNEC (0.25 µg/L) to PECs in ecozones where expected background concentrations are higher than the PNEC. The use of a BLM, which incorporates bioavailability adjustments, would provide more realistic site-specific ecotoxicity thresholds. However, a BLM that predicts the chronic toxicity of silver to freshwater organisms is not available at this time (CCME 2015a; Wood 2012).

The PECs determined in the exposure scenarios included measured environmental concentrations (total, extractable, dissolved) or modeled concentrations (total) from effluent, leachate, and biosolids data. As previously mentioned, silver has a high affinity for complexing with various ligands. It is associated primarily with macroparticles (<0.45 µm) and colloids (>0.45 µm) in fresh waters (Andren and Bober 2002; Shafer et al. 1996; Wen et al. 1997). Thus, free ionic silver is present in very low quantities under natural conditions (Andren and Bober 2002). Once released into the environment from effluents or leachates, free ionic silver, if present, will complex with ligands. These species, along with other silver species that may be present in effluents or leachates, can rapidly incorporate into sediment compared to other metals (Andren and Bober 2002). Silver is unlikely to remobilize once present in sediments and soils, including biosolids (Donner et al. 2015). Thus, the use of total, extractable, and even dissolved concentrations, produces conservative aquatic PECs.

Comparison of the PECs, which do not represent free ionic silver concentrations, to PNECs, which represent organism exposure to free ionic silver, therefore produce conservative RQs. However, this conservatism was considered in the  ecological risk characterization of silver, where potential for ecological harm in the water and sediment was interpreted to be low under current levels of exposure.

Freshwater compartment

Non-detect data were prevalent in the aquatic datasets analyzed in this screening assessment. Their presence was inconsequential for the metal mining and BMS sectors since MDLs were below the PNEC. PECs modeled from non-detects for wastewaters were not the drivers behind instances of RQs greater than 1. However, the waste disposal dataset contained non-detect PECs higher than the freshwater PNEC due to high MDLs (e.g., 10 µg/L). This leaves uncertainty as to whether or not potential for ecological harm is present at the sampling sites. As mentioned, it is predicted that only a very small fraction of total silver concentrations is bioavailable (WHO 2002). Therefore, the conclusion considers these uncertainties for waste disposal.

Sediment compartment

Sediment data are limited for the sectors and sources investigated. The NPRI analysis indicates that releases of silver to water from 2012 to 2017 are low. While releases may be low, silver is expected to partition to sediment rapidly (Andren and Bober 2002). Sediment concentrations of silver associated with wastewaters and waste disposals are unavailable.

The silver sediment PNEC was derived from a study in which silver bioavailability was likely high due to a low amount of silver complexing ligands. The site-specific sediment characteristics can influence the bioavailability and toxicity of silver to sediment organisms. Therefore, the PNEC may be considered conservative in some cases, such as for the BMS facility subject to the MDMER (Site 2). For the BMS facility not subject to the MDMER, the sediment PNEC may not necessarily be conservative because the sediment composition downstream is likely more susceptible to be available for benthic organisms with low amounts of silver complexing ligands at the exposure area of the facility. However, it is known that silver displaces other metals in metal sulfide compounds (Bell and Kramer 1999), which can increase the bioavailability of other metals through their mobilization into sediment pore waters. Therefore, even when sulfide concentrations in sediments are low or when silver concentrations in sediments are high, it is possible that silver will be mostly bound to sulfides, where they are not bioavailable but may be ingested by benthic organisms.

Soil compartment

Soil data are not available for the sectors and sources investigated. The NPRI analysis indicates that releases of silver to air and land from 2012 to 2017 are low or negligible, respectively, and given this, it is unlikely that silver deposition or release to land from the sectors and sources investigated is occurring in concerning amounts. Further, the conservative risk characterization for the land-application of silver-containing biosolids indicates low potential for ecological harm in the soil compartment. Therefore, the conclusion of this assessment is not sensitive to the lack of data.

8. Potential to cause harm to human health

Silver is a naturally occurring element that is present in all environmental media in Canada. Total silver has been measured in drinking water distribution systems, household dust, indoor and outdoor air, and breast milk (Arbuckle et al. 2013; NAPS 2011; Rasmussen et al. 2016; Tugulea 2016). Overall, Canadian data demonstrate that concentrations of silver in air, drinking water and dust are low (Health Canada 2016).

The health effects of silver have previously been evaluated by other international organizations (ATSDR 1990; EFSA 2016; IRIS 1991; WHO 2011). While some recent reviews have focused mainly on nanosilver, the focus of this screening assessment is on the bulk form of silver. Argyria or argyrosis, characterized by blue or blue-greyish staining of the skin and mucous membranes, is the principle observable change associated with long-term ingestion or occupational inhalation of high concentrations of metallic silver or ionisable silver compounds (EFSA 2016). Argyria is not associated with pathological damage in any specific target organ (EFSA 2016). The United States Environmental Protection Agency (U.S. EPA) derived a reference dose (RfD) of 0.005 mg Ag/kg bw/day for protecting against argyria (IRIS 1991; Health Canada 2016).

The human health risk from exposure to silver and its compounds was characterized using a science approach based on biomonitoring data, as described in the science approach document on Biomonitoring-based Approach 2 (Health Canada 2016). The approach utilizes population-level biomonitoring data from large-scale surveys, such as the Canadian Health Measures Survey (CHMS). The analysis presented in the science approach document focused on the substances in the Silver and its Compounds Group, whereas this screening assessment focuses on the silver moiety as these surveys measure the concentrations of the moiety in blood (whole blood, serum, plasma) and/or urine. Total silver in blood or urine provides a biologically relevant, integrated measure of exposures that occur across multiple routes (e.g., oral, dermal and inhalation) and sources (including environmental media, diet, and frequent or daily use products to which people were exposed).

In the Biomonitoring-based Approach 2, biomonitoring data are compared with human biomonitoring guidance values, such as a biomonitoring equivalent (BE). BEs are typically derived from existing health-based exposure guidance values, such as a reference dose (RfD) or a tolerable daily intake (TDI). In general, exposure guidance values are converted to BEs using toxicokinetic data or regression correlations between external exposure and the biomarker concentrations (i.e., the chemical concentration in blood or urine). A thorough review of available toxicokinetic data is an integral part of the Biomonitoring-based Approach 2. The approach is only recommended for use if the biomarker (i.e., chemical concentration in whole blood, plasma, serum or urine) is considered adequate to quantify exposure in the general population (Health Canada 2016). If exposures (on the basis of biomonitoring data) are below the human biomonitoring guidance value (i.e., BE), then the substance or metal moiety is considered to be of low concern with respect to human health at current levels of exposure (Health Canada 2016).

Total silver was measured in whole blood in Canadians in both the Canadian Health Measures Survey and the Maternal-Infant Research on Environmental Chemicals (MIREC) Child Development (CD) Plus study, a MIREC follow-up study (Table 8-1).

A BE of 0.4 µg/L for ionic silver associated with the U.S. EPA RfD of 0.005 mg Ag/kg bw/day for protection against argyria (IRIS 1991; Health Canada 2016) was used to determine potential harm to human health from exposure to silver (Health Canada 2016; Aylward et al. 2016). Argyria is not associated with any systemic health effects and therefore its use as an endpoint for risk characterization is considered conservative. The BE and the median and 95th percentile of blood concentrations from the biomonitoring data are presented in Table 8-1 below.

Table 8-1. Concentrations of total silver in whole blood (µg/L) in Canadians
Survey population Age (years) Median (95% CI) 95th percentile (95% CI) BE (µg/L) Exceedance
CHMS Cycle 2a Canadian population (2009-11) 3 to 79 0.066 (<LOD to 0.088) 0.27 (0.22 to 0.31) 0.4 N
MIREC-CD Plusb children (2013-14) 1 to ≤3 0.205 0.259 0.4 N

Abbreviations: BE = biomonitoring equivalent, CI = confidence interval, N = no, <LOD = less than the limit of detection where LOD = 0.05 µg/L.
a Health Canada 2013, n=6070.
b Liang 2016, n = 214.

The data presented in Table 8-1 demonstrate that whole blood silver concentrations in Canadians are below the BE associated with the U.S. EPA RfD for argyria. Therefore, silver and its compounds are of low concern at the current levels of exposure in the general public. Further details are presented in the Biomonitoring-based Approach 2 science approach document (Health Canada 2016).

8.1 Uncertainties in evaluation of risk to human health

Uncertainties associated with the biomonitoring approach have been detailed in the science approach document on Biomonitoring-based Approach 2 (Health Canada 2016). The multi-compartment physiologically based pharmacokinetic (PBPK) model used in the derivation of the BE was based on data from both animal and human datasets and validated against other available studies. The PBPK model generally provided reliable predictions of blood concentrations in workers occupationally exposed to silver. However, there are uncertainties regarding the oral absorption fraction assumed, as absorption data are lacking in humans. The available PBPK model is structured for adult physiology only. As a result, predictions relevant for specific sub-populations, such as children or pregnant women, have higher uncertainty than adults in the general population.

9. Conclusion

Considering all available lines of evidence presented in this screening assessment, there is low risk of harm to the environment from silver and its compounds. It is concluded that the seven substances in the Silver and its Compounds Group do not meet the criteria under paragraphs 64(a) or (b) of CEPA as they are not entering the environment in a quantity or concentration or under conditions that have or may have an immediate or long-term harmful effect on the environment or its biological diversity or that constitute or may constitute a danger to the environment on which life depends.

On the basis of the information presented in this screening assessment, it is concluded that silver and its compounds do not meet the criteria under paragraph 64(c) of CEPA as they are not entering the environment in a quantity or concentration or under conditions that constitute or may constitute a danger in Canada to human life or health.

It is therefore concluded that the seven substances in the Silver and its Compounds Group do not meet any of the criteria set out in section 64 of CEPA.

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Appendices

Appendix A. Physical and chemical properties

Table A-1. Physical and chemical properties for the seven substances in the Silver and its Compounds Group
CAS RN DSL Name Molecular formula Molecular weight (g/mol) Boiling point (°C) Density at 20°C (g/cm3) Solubility at 20°C (mg/L H2O)
7440-22-4 Silver Ag 107.87 2212 a 10.5 a Insoluble a
7761-88-8 Nitric acid silver(1+) salt AgNO3 169.87 Decom-poses at 440 a 4.35 a 2.16 x 104 a
7783-90-6 Silver chloride (AgCl) AgCl 143.32 1550 a 5.56 a 1.93 a
7785-23-1 Silver bromide (AgBr) AgBr 187.77 1502 a 6.47 a 0.14 a
10294-26-5 Sulfuric acid, disilver(1+) salt Ag2SO4 311.80 NA 5.45 a 8400 b
20667-12-3 Silver oxide (Ag2O) Ag2O 231.74 Decom-poses above 100 a NA Decom-poses in aqueous solution a
21548-73-2 Silver sulfide (Ag2S) Ag2S 247.8 Decom-poses at 810 a 7.33 a 0.14 a

NA: Not available
a Lide 2000
b Lide 2005

Appendix B. Canadian Border Services Agency import data

Table B-1. Annual aggregate quantities of silver-containing substances imported into Canada from 2010 to 2013 (CBSA 2016)
HS code name and numbera Number of unique companies importing Number of individual imports Average import quantity (t)b, c Median import quantity (t)b, c 90th percentile import quantity (t)b, c
Silver nitrated 98 336 0.45 0.0090 0.72
Other silver compoundse 99f 321 0.45 0.0030 0.15
Silver in powder formg 89 204 0.41 0.46 140
Unwrought silver h 307f 1 375 3.1 0.0064 1.8
Semi-manufactured silveri 852f 3 103 0.82 0.005 0.12
Silver ores and concentratej 5f 51 29 9.0 98

a The Harmonized Commodity Description and Coding System is an international goods classification system developed by the Customs Co-operation Council (now the World Customs Organization) and used by Canada to classify imported and exported goods.
b Calculated from distribution of individual imports from 2010 to 2013.
c Note that these quantities do not represent quantities of elemental silver alone but reflect the composition of the substances captured within the HS codes.
d HS code 2843.21.000.
e HS code 2843.29.000.
f Some company names were not available, therefore number of unique companies are higher than what is reported here.
g HS codes: 7106.10.0000 (silver in powder form), 7106.10.0010 (silver powder containing by weight equal to or greater than 92.5% of silver), 7106.10.0020 (silver powder containing by weight less than 92.5% of silver).
h HS codes : 2616.10.0081 (silver ores and concentrates, silver content) and 2608.00.0081 (zinc ores and concentrates, silver content).
i HS codes: 7106.91.0011 (silver bullion, unwrought forms, containing by weight>=92.5% of silver), 7106.91.0021 (silver dore, unwrought forms, containing by weight <92.5% of silver), 7106.91.0019 (silver, o/t bullion, unwrought forms, containing by weight >= 92.5% of silver), 7106.91.0029 (silver, o/t dore, unwrought forms, containing by weight < 92.5% of silver), and 7106.91.0020 (silver, unwrought forms, containing by weight <92.5% of silver).
j HS codes: 2616.10.0081 (silver ores and concentrates, silver content) and 2608.00.0081 (zinc ores and concentrates, silver content).

Table B-2. Estimated uses of silver-containing substances summarized from import data over 2010 to 2013 in tonnes by independently assigned NAICS6 codes (CBSA 2016)
NAICS6 code description Silver nitratea Other silver compoundsb Silver powderc
Aerospace Product and Parts Manufacturing NR 2.0 NR
All Other Basic Inorganic Chemical Manufacturing 18 NR NR
All Other Miscellaneous Chemical Product and Preparation Manufacturing 1.5 63 NR
All Other Miscellaneous Manufacturing NR 44 NR
Chemical (except Agricultural) and Allied Product Wholesaler-Distributors 2.3 NR NR
Cutlery and Hand Tool Manufacturing NR 0.75 NR
Glass Product Manufacturing from Purchased Glass 38 NR NR
Industrial Machinery and Equipment Merchant Wholesalers NR NR 2.0
Office Supplies and Stationery Stores 1.3 NR NR
Other Electronic Parts and Equipment Merchant Wholesalers 46 3.4 NR
Other Petroleum and Coal Product Manufacturing NR 2.3 NR
Other Professional Equipment and Supplies Merchant Wholesalers 11 NR NR
Other Support Activities for Air Transportation NR 9.5 NR
Professional Machinery, Equipment and Supplies 2.2 NR NR
Recyclable Metal Wholesaler-Distributors NR NR 0.68
Religious Organizations 1.5 NR NR
Semiconductor and Other Electronic Component Manufacturing NR 5.5 NR
Soap and cleaning compound manufacturing 19 NR NR
Switchgear and Switchboard, and Relay and Industrial Control Apparatus Manufacturing NR NR 74
Synthetic Dye and Pigment Manufacturing NR NR 2.8
Warm Air Heating and Air-Conditioning Equipment and Supplies Merchant Wholesalers NR 8.3 NR
Total: 140 140 80

NR: not reported.
a HS code 2843.21.000.
b HS code 2843.29.000.
c Includes the following HS codes: 7106.10.0000 (silver in powder form), 7106.10.0010 (silver powder containing by weight equal to or greater than 92.5% of silver), 7106.10.0020 (silver powder containing by weight less than 92.5% of silver).

Appendix C. National Pollutant Release Inventory data

Table C-1. Total quantities of silver released to air, water, and land by industrial and public sources from 2012 to 2017 (NPRI 2019)
Source Number of reporting facilitiesa Air (t) Water (t) All media <1 t (t)
All Other Miscellaneous Fabricated Metal Product Manufacturing 2 NR NR 0.11
Base Metal Smelting and Refiningb 8 1.3 0.0020 1.8
Cement Manufacturing 3 0.0060 NR 0.0043
Coal mining 2 NR 0.0090 0.0010
Marine Cargo Handling 1 NR NR 0.005
Metal Miningc 12 0.023 0.35 0.067
Non-Conventional Oil Extraction 2 0.41 0.37e 0.10
Non-Ferrous Metal (except Cu, Al) Rolling, Drawing, Extruding and Alloying 2 0.045 NR 0.015
Pulp and Paper 1 NR NR 0.090
Wasted 4 0.0064 0.0048 0.013
Total: 37 1.8 0.74 2.2

NR: Not reported.
a Count of facilities which reported releases of silver to air and/or water and/or all media <1 tonne for at least one year during the 2012 to 2017 reporting period.
b Includes facilities with the following NAICS6 codes: 331410 and 331529.
c Includes facilities with the following NAICS6 codes: 212220, 212231, 212232, and 212233.
d Includes facilities with the following NAICS6 codes: 221320 and 562210.
e Reporting error, value is 0 t (personal communication, information provided by the Strategy and Operations Services, Suncor Energy Services Inc., to the Ecological Assessment Division, Environment and Climate Change Canada, dated April 4, 2019; unreferenced).

Appendix D. Background concentrations

Table D-1. Statistics describing background concentrations of total silver in Canada’s ecozones, Great Lakes, and the North Atlantic and North Pacific oceans
Ecozone/ waterbody Sample size Median
(µg AgT/L)
Upper inner tolerance limit (µg AgT/L)g
Atlantic Maritimea,b 3 0.050 0.05
Boreal Cordillerab 301 0.0020 0.048
Boreal Plainsb 644 0.010 0.26
Boreal Shieldb 486 0.11 1.2
Mixedwood Plainsb 783 0.52 2.1
Montane Cordillerab 1,950 0.0010 0.014
Pacific Maritimeb 1,464 0.0010 0.017
Prairiesb 335 0.050 0.92
Taiga Cordillerab 21 0.0040 0.044
Taiga Shieldc 162 0.00050 NA
Lake Eried 106 0.00050 NA
Lake Ontariod 165 0.00050 NA
Lake Superiord 83 0.00050 NA
North Atlantic Oceane 9 0.00032 NA
North Pacific Oceana,f 22 0.0011 NA

NA: Not available.
a Dissolved silver concentrations are reported.
b Kilgour & Associates Ltd. (2016).
c NLTWQM 2016.
d Personal communication, data provided by the Water Quality Monitoring and Surveillance Division, Environment and Climate Change Canada (ECCC), to the Ecological Assessment Division, ECCC, dated June 20, 2017; unreferenced.
e Rivera-Duarte et al 1999, median of concentrations measured in multiple locations up to a depth of 50 m.
f Kramer et al 2011, median of concentrations measured in multiple locations up to a depth of 50 m.
g Synonymous in this assessment with maximum expected background concentration.

Appendix E. Silver sediment toxicity dataset

Table E-1. Ag toxicity on sediment-dwelling organisms
Group Test organism Test substance Endpoint Value (mg/kg dw) Reference
Invertebrate Hyalella azteca AgNO3 10-day LC50 60.7 Rodgers et al. 1997a
Invertebrate Hyalella azteca AgNO3 10-day LC50 1.62 Rodgers et al. 1997a
Invertebrate Hyalella azteca AgNO3 10-day LC50 45.4 Rodgers et al. 1997a
Invertebrate Hyalella azteca AgNO3 10-day LC50 380 Rodgers et al. 1997a
Invertebrate Hyalella azteca AgNO3 10-day LC50 84 Call et al. 2006
Invertebrate Hyalella azteca AgNO3 10-day NOEC (dry weight) 12 Call et al. 2006
Invertebrate Hyalella azteca AgNO3 10-day LOEC (dry weight) 31 Call et al. 2006
Invertebrate Hyalella azteca AgNO3 10-day LC50 2980 Call et al. 2006
Invertebrate Hyalella azteca AgNO3 10-day NOEC (dry weight) 2150 Call et al. 2006
Invertebrate Hyalella azteca AgNO3 10-day LOEC (dry weight) 4310 Call et al. 2006
Invertebrate Hyalella azteca Ag2S 10-day LC50 >753a Hirsch 1998a
Invertebrate Hyalella azteca Ag2S 10-day EC50 (biomass) >753a Hirsch 1998a
Invertebrate Hyalella azteca AgCl 10-day LC50 >2560a Rodgers et al. 1997a
Invertebrate Hyalella azteca Ag2(S2O3)n 10-day LC50 >1125a Rodgers et al. 1997a
Invertebrate Hyalella azteca Ag2(S2O3)n 10-day LC50 >648a Rodgers et al. 1997a
Invertebrate Hyalella azteca Ag2(S2O3)n 10-day LC50 >569a Rodgers et al. 1997a
Invertebrate Hyalella azteca Ag2(S2O3)n 10-day LC50 >682a Rodgers et al. 1997a
Invertebrate Chironomus tentans AgNO3 10-day LC50 2750 Call et al. 1999
Invertebrate Chironomus tentans AgNO3 10-day NOEC (biomass) 1700 Call et al. 1999
Invertebrate Chironomus tentans AgNO3 10-day LOEC (biomass) 2200 Call et al. 1999
Invertebrate Chironomus tentans AgNO3 10-day LC50 1170 Call et al. 1999
Invertebrate Chironomus tentans AgNO3 10-day NOEC (biomass) 200 Call et al. 1999
Invertebrate Chironomus tentans AgNO3 10-day LOEC (biomass) 500 Call et al. 1999
Invertebrate Lumbriculus variegatus AgNO3 28-day IC50 (reproduction) 23.9b Rajala et al. 2016
Invertebrate Lumbriculus variegatus AgNO3 28-day IC50 (reproduction) 129 Rajala et al. 2016
Invertebrate Lumbriculus variegatus AgNO3 28-day IC50 (reproduction) 214 Rajala et al. 2016
Invertebrate Lumbriculus variegatus AgNO3 28-day IC50 (number of worms) 38 Rajala et al. 2016
Invertebrate Lumbriculus variegatus AgNO3 28-day IC50 (number of worms) 525 Rajala et al. 2016
Invertebrate Lumbriculus variegatus AgNO3 28-day IC50 (number of worms) 688 Rajala et al. 2016
Invertebrate Ampelisca abditad AgNO3 10-day LC50 1037c Berry et al. 1999
Invertebrate Potamopyrgus antipodarum AgNO3 14-day NOEC (mortality and growth) 78.5a Ramskov et al. 2015
Invertebrate Potamopyrgus antipodarum AgNO3 14-day NOEC (mortality and growth) 82.8a Ramskov et al. 2015
Invertebrate Capitella teletad AgNO3 14-day NOEC (mortality and growth) 84.1a Ramskov et al. 2015
Invertebrate Capitella sp. Sd AgNO3 14-day LOEC (mortality) 96.3a Ramskov et al. 2015

Abbreviations: dw = dry weight; LC50 = the concentration of a stressor that is estimated to be lethal to 50% of the test organisms over a specific time interval; EC50 = the concentration of a stressor that is estimated to be effective in producing a biological response, other than mortality, in 50% of the test organisms over a specific time interval; IC50 = the concentration of a stressor that is estimated to inhibit a biological response, other than mortality, in 50% of the test organisms over a specific time interval; NOEC = No observed effect concentration; LOEC = Lowest observed effect concentration.
Values represent maximum concentrations tested for sediments studies.<
Selected as critical toxicity value (CTV).
c The endpoint was estimated based on the data presented in the reference.
d Marine species.

Appendix F. Silver soil toxicity dataset

Table F-1. Ag toxicity on soil-dwelling organisms
Group Test organism Endpoint Value a (mg/kg dw) Reference
Plant Barley, Hordeum vulgare 5-day EC10, root length 25 Langdon et al. 2015
Plant Barley, Hordeum vulgare 5-day EC50, root length 88 Langdon et al. 2015
Plant Northern wheatgrass, Elymus lanceolatus 21-day EC10, root/shoot dry mass 3b ECSTL 2011
Plant Northern wheatgrass, Elymus lanceolatus 21-day EC50, shoot dry mass 16 ECSTL 2011
Plant Northern wheatgrass, Elymus lanceolatus 21-day EC50, shoot dry mass 40, 184 Velicogna et al. 2016
Plant Northern wheatgrass, Elymus lanceolatus 21-day EC50, root dry mass 33 ECSTL 2011
Plant Northern wheatgrass, Elymus lanceolatus 21-day EC50, root dry mass 99, 98 Velicogna et al. 2016
Plant Northern wheatgrass, Elymus lanceolatus 21-day EC10, shoot length 7 ECSTL 2011
Plant Northern wheatgrass, Elymus lanceolatus 21-day EC10, root length 20 ECSTL 2011
Plant Northern wheatgrass, Elymus lanceolatus 21-day EC50, shoot length 68 ECSTL 2011
Plant Northern wheatgrass, Elymus lanceolatus 21-day EC50, shoot length 77, 413 Velicogna et al. 2016
Plant Northern wheatgrass, Elymus lanceolatus 21-day EC50, root length 59 ECSTL 2011
Plant Northern wheatgrass, Elymus lanceolatus 21-day EC50, root length 45, 106 Velicogna et al. 2016
Plant Northern wheatgrass, Elymus lanceolatus 21-day EC50, emergence 298, 1491 Velicogna et al. 2016
Plant Red clover, Trifolium pratense L. 14-day EC10, root/shoot dry mass 1b ECSTL 2011
Plant Red clover, Trifolium pratense L. 14-day EC50, shoot dry mass 4 ECSTL 2011
Plant Red clover, Trifolium pratense L. 14-day EC50, shoot dry mass 85, 498 Velicogna et al. 2016
Plant Red clover, Trifolium pratense L. 14-day EC50, root dry mass 7 ECSTL 2011
Plant Red clover, Trifolium pratense L. 14-day EC50, root dry mass 106, 227 Velicogna et al. 2016
Plant Red clover, Trifolium pratense L. 14-day EC10, shoot length 33 ECSTL 2011
Plant Red clover, Trifolium pratense L. 14-day EC10, root length 18 ECSTL 2011
Plant Red clover, Trifolium pratense L. 14-day EC50, shoot length 1845 ECSTL 2011
Plant Red clover, Trifolium pratense L. 14-day EC50, shoot length 54, 304 Velicogna et al. 2016
Plant Red clover, Trifolium pratense L. 14-day EC50, root length 336 ECSTL 2011
Plant Red clover, Trifolium pratense L. 14-day EC50, root length 75, 172 Velicogna et al. 2016
Plant Red clover, Trifolium pratense L. 14-day EC10/EC50, emergence >3014 ECSTL 2011
Plant Red clover, Trifolium pratense L. 14-day EC50, emergence 188, 1047 Velicogna et al. 2016
Plant Tomato, Lycopersicum esculentum 21-day EC10, emergence 6.6 Langdon et al. 2015
Plant Tomato, Lycopersicum esculentum 21-day EC50, emergence 73 Langdon et al. 2015
Invertebrates Earthworm, Eisenia andrei 56-day EC10, reproduction 2 ECSTL 2011
Invertebrates Earthworm, Eisenia andrei 56-day EC50, reproduction 54 ECSTL 2011
Invertebrates Earthworm, Eisenia andrei 56-day EC50, reproduction 46.9 Schlich et al. 2013
Invertebrates Earthworm, Eisenia andrei 63-day EC50, reproduction 29 Velicogna et al. 2016
Invertebrates Earthworm, Eisenia andrei 56-day EC10, dry mass 11 ECSTL 2011
Invertebrates Earthworm, Eisenia andrei 56-day EC50, dry mass 56 ECSTL 2011
Invertebrates Earthworm, Eisenia andrei 56-day EC50, dry mass 42 Schlich et al. 2013
Invertebrates Earthworm, Eisenia andrei 63-day EC50, dry mass 15 Velicogna et al. 2016
Invertebrates Earthworm, Eisenia andrei 28-day LC10, adult 251 ECSTL 2011
Invertebrates Earthworm, Eisenia andrei 35-day LC50, adult 152 Velicogna et al. 2016
Invertebrates Pot worm, Enchytraeus crypticus 21-day EC10, reproduction 38 Bicho et al. 2016
Invertebrates Pot worm, Enchytraeus crypticus 21-day EC20, reproduction 47 Bicho et al. 2016
Invertebrates Pot worm, Enchytraeus crypticus 21-day EC50, reproduction 62 Bicho et al. 2016
Invertebrates Pot worm, Enchytraeus crypticus 11-day EC10, hatching 42 Bicho et al. 2016
Invertebrates Pot worm, Enchytraeus crypticus 11-day EC20, hatching 48 Bicho et al. 2016
Invertebrates Pot worm, Enchytraeus crypticus 11-day EC50, hatching 58 Bicho et al. 2016
Invertebrates Pot worm, Enchytraeus crypticus 25-day EC10, growth 69 Bicho et al. 2016
Invertebrates Pot worm, Enchytraeus crypticus 25-day EC20, growth 79 Bicho et al. 2016
Invertebrates Pot worm, Enchytraeus crypticus 25-day EC50, growth 98 Bicho et al. 2016
Invertebrates Pot worm, Enchytraeus crypticus 14-day LC10, cocoons 41 Bicho et al. 2016
Invertebrates Pot worm, Enchytraeus crypticus 14-day LC20, cocoons 47 Bicho et al. 2016
Invertebrates Pot worm, Enchytraeus crypticus 14-day LC50, cocoons 57 Bicho et al. 2016
Invertebrates Pot worm, Enchytraeus crypticus 22/25-day LC10, cocoons 21, 29 Bicho et al. 2016
Invertebrates Pot worm, Enchytraeus crypticus 22/25-day LC20, cocoons 33, 40 Bicho et al. 2016
Invertebrates Pot worm, Enchytraeus crypticus 22/25-day LC50, cocoons 54, 62 Bicho et al. 2016
Invertebrates Pot worm, Enchytraeus crypticus 21-day LC10, adult 52 Bicho et al. 2016
Invertebrates Pot worm, Enchytraeus crypticus 21-day LC20, adult 61 Bicho et al. 2016
Invertebrates Pot worm, Enchytraeus crypticus 21-day LC50, adult 75 Bicho et al. 2016
Invertebrates Springtail, Folsomia candida 28-day EC10, reproduction 20b ECSTL 2011
Invertebrates Springtail, Folsomia candida 28-day EC10, reproduction 31b Mendes et al. 2015
Invertebrates Springtail, Folsomia candida 28-day EC10, reproduction 47.6 b Waalewijn-Kool et al. 2014
Invertebrates Springtail, Folsomia candida 28-day EC20, reproduction 76 Mendes et al. 2015
Invertebrates Springtail, Folsomia candida 28-day EC50, reproduction 94 ECSTL 2011
Invertebrates Springtail, Folsomia candida 28-day EC50, reproduction 114, 177 Velicogna et al. 2016
Invertebrates Springtail, Folsomia candida 28-day EC50, reproduction 152 Mendes et al. 2015
Invertebrates Springtail, Folsomia candida 28-day EC50, reproduction 99.5 Waalewijn-Kool et al. 2014
Invertebrates Springtail, Folsomia candida 28-day LC10 297 ECSTL 2011
Invertebrates Springtail, Folsomia candida 28-day LC10 82 Mendes et al. 2015
Invertebrates Springtail, Folsomia candida 28-day LC20 118 Mendes et al. 2015
Invertebrates Springtail, Folsomia candida 28-day LC50 785 ECSTL 2011
Invertebrates Springtail, Folsomia candida 28-day LC50 216, 356 Velicogna et al. 2016
Invertebrates Springtail, Folsomia candida 28-day LC50 284 Waalewijn-Kool et al. 2014
Invertebrates Springtail, Folsomia candida 28-day LC50 179 Mendes et al. 2015

Abbreviations: dw = dry weight; EC10/20/50 = the concentration of a stressor that is estimated to be effective in producing a biological response, other than mortality, in 10%, 20%, or 50% of the test organisms over a specific time interval; LC10/20/50 = the concentration of a stressor that is estimated to be lethal to 10%, 20%, or 50% of the test organisms over a specific time interval.
a The Ag soil toxicity full dataset. Toxicity tests conducted in soils with pH < 5.5, % OM > 6%, or on microbial are not included in this dataset as per CCME Canadian Soil Quality Guideline (2006a). pH > 7, and/or soils with high silt/clay contents are considered case-by-case.
b Geometric means applied for the species SSD data points.

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