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Prospective mixture risk assessment and management prioritizations for river catchments with diverse land uses
Environmental toxicology and chemistry, 2018-03, Vol.37 (3), p.715-728
Posthuma, Leo
Brown, Colin D.
de Zwart, Dick
Diamond, Jerome
Dyer, Scott D.
Holmes, Christopher M.
Marshall, Stuart
Burton, G. Allen
2018
Details
Autor(en) / Beteiligte
Posthuma, Leo
Brown, Colin D.
de Zwart, Dick
Diamond, Jerome
Dyer, Scott D.
Holmes, Christopher M.
Marshall, Stuart
Burton, G. Allen
Titel
Prospective mixture risk assessment and management prioritizations for river catchments with diverse land uses
Ist Teil von
Environmental toxicology and chemistry, 2018-03, Vol.37 (3), p.715-728
Ort / Verlag
United States: Blackwell Publishing Ltd
Erscheinungsjahr
2018
Link zum Volltext
Quelle
Wiley Online Library - AutoHoldings Journals
Beschreibungen/Notizen
Ecological risk assessment increasingly focuses on risks from chemical mixtures and multiple stressors because ecosystems are commonly exposed to a plethora of contaminants and nonchemical stressors. To simplify the task of assessing potential mixture effects, we explored 3 land use–related chemical emission scenarios. We applied a tiered methodology to judge the implications of the emissions of chemicals from agricultural practices, domestic discharges, and urban runoff in a quantitative model. The results showed land use–dependent mixture exposures, clearly discriminating downstream effects of land uses, with unique chemical “signatures” regarding composition, concentration, and temporal patterns. Associated risks were characterized in relation to the land‐use scenarios. Comparisons to measured environmental concentrations and predicted impacts showed relatively good similarity. The results suggest that the land uses imply exceedances of regulatory protective environmental quality standards, varying over time in relation to rain events and associated flow and dilution variation. Higher‐tier analyses using ecotoxicological effect criteria confirmed that species assemblages may be affected by exposures exceeding no‐effect levels and that mixture exposure could be associated with predicted species loss under certain situations. The model outcomes can inform various types of prioritization to support risk management, including a ranking across land uses as a whole, a ranking on characteristics of exposure times and frequencies, and various rankings of the relative role of individual chemicals. Though all results are based on in silico assessments, the prospective land use–based approach applied in the present study yields useful insights for simplifying and assessing potential ecological risks of chemical mixtures and can therefore be useful for catchment‐management decisions. Environ Toxicol Chem 2018;37:715–728. © 2017 The Authors. Environmental Toxicology Chemistry Published by Wiley Periodicals, Inc.
Sprache
Englisch
Identifikatoren
ISSN: 0730-7268
eISSN: 1552-8618
DOI: 10.1002/etc.3960
Titel-ID: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5873277
Format
–
Schlagworte
Agricultural practices
,
Agricultural runoff
,
Agriculture
,
Agrochemicals
,
Aquatic risk assessment
,
Catchment assessment
,
Catchments
,
Chemical mixture
,
Chemicals
,
Contaminants
,
Dilution
,
Downstream effects
,
Ecological risk assessment
,
Ecosystem
,
Ecotoxicology
,
Emissions
,
Environmental Monitoring - methods
,
Environmental quality
,
Environmental risk
,
Exposure
,
Exposure scenario
,
Impact prediction
,
Land use
,
Management
,
Mathematical models
,
Pellston Mixtures
,
Prospective Studies
,
Quality standards
,
Rain
,
Ranking
,
Rheology
,
Risk assessment
,
Risk Assessment - methods
,
Risk management
,
River catchments
,
Rivers
,
Rivers - chemistry
,
Runoff
,
Special Section: SETAC Pellston Workshop: Simplifying Environmental Mixtures An Aquatic Exposure‐Based Approach Via Exposure Scenarios Leo Posthuma, Colin Brown, Dick de Zwart, Jerry Diamond, Scott D. Dyer, Mick Hamer, Christopher M. Holmes, Stuart Marshall, G. Allen Burton Jr., Guest Editors
,
Toxicology
,
Urban runoff
,
Water Pollutants, Chemical - analysis
,
Watershed management
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