Target Lipid Model and Empirical Organic Carbon Partition Coefficients Predict Sediment Toxicity of Polychlorinated Biphenyls to Benthic Invertebrates

被引:3
|
作者
Fuchsman, Phyllis [1 ]
Fetters, Kyle [2 ]
O'Connor, Alison [1 ]
机构
[1] Ramboll, Beachwood, OH USA
[2] Ramboll, Portland, ME USA
关键词
Bioavailability; Ecological risk assessment; Polychlorinated biphenyls; Sediment; AROMATIC-HYDROCARBON CRITERIA; TECHNICAL BASIS; RISK-ASSESSMENT; AROCLOR; 1254; PORE-WATER; CONTAMINATED SEDIMENTS; NARCOTIC CHEMICALS; QUALITY GUIDELINES; ASHTABULA RIVER; BEDFORD HARBOR;
D O I
10.1002/etc.5588
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Quantifying causal exposure-response relationships for polychlorinated biphenyl (PCB) toxicity to benthic invertebrates can be an important component of contaminated sediment assessments, informing cleanup decisions and natural resource injury determinations. Building on prior analyses, we demonstrate that the target lipid model accurately predicts aquatic toxicity of PCBs to invertebrates, providing a means to account for effects of PCB mixture composition on the toxicity of bioavailable PCBs. We also incorporate updated data on PCB partitioning between particles and interstitial water in field-collected sediments, to better account for effects of PCB mixture composition on PCB bioavailability. To validate the resulting model, we compare its predictions with sediment toxicity data from spiked sediment toxicity tests and a variety of recent case studies from sites where PCBs are the primary sediment contaminant. The updated model should provide a useful tool for both screening-level and in-depth risk analyses for PCBs in sediment, and it should aid in diagnosing potential contributing factors at sites where sediment toxicity and benthic community impairment are observed. Environ Toxicol Chem 2023;00:1-18. (c) 2023 SETAC
引用
收藏
页码:1134 / 1151
页数:18
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