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DOI10.1021/acs.est.7b01493
Framework for Optimizing Selection of Interspecies Correlation Estimation Models to Address Species Diversity and Toxicity Gaps in an Aquatic Database
Bejarano, Adriana C.1; Raimondo, Sandy2; Barron, Mace G.2
发表日期2017-07-18
ISSN0013-936X
卷号51期号:14页码:8158-8165
英文摘要

The Chemical Aquatic Fate and Effects (CAFE) database is a tool that facilitates assessments of accidental chemical releases into aquatic environments. CAFE contains aquatic toxicity data used in the development of species sensitivity distributions (SSDs) and the estimation of hazard concentrations (HCs). For many chemicals, gaps in species diversity and toxicity data limit the development of SSDs, which may be filled with Interspecies Correlation Estimation (ICE) models. Optimization of ICE model selection and integration ICE-predicted values into CAFE required a multistep process that involved the use of different types of data to assess their influence on SSDs and HC estimates. Results from multiple analyses showed that SSDs supplemented with ICE-predicted values generally produced HC5 estimates that were within a 3-fold difference of estimates from measured SSDs (58%-82% of comparisons), but that were often more conservative (63%-76% of comparisons) and had lower uncertainty (90% of comparisons). ICE SSDs did not substantially underpredict toxicity (< 10% of comparisons) when compared to estimates from measured SSD. The incorporation of ICE-predicted values into CAFE allowed the development of > 800 new SSDs, increased diversity in SSDs by an average of 34 species, and augmented data for priority chemicals involved in accidental chemical releases.


语种英语
WOS记录号WOS:000406086100045
来源期刊ENVIRONMENTAL SCIENCE & TECHNOLOGY
来源机构美国环保署
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/56846
作者单位1.Res Planning Inc, 1121 Pk St, Columbia, SC 29201 USA;
2.US EPA, Gulf Ecol Div, 1 Sabine Isl Dr, Gulf Breeze, FL 32561 USA
推荐引用方式
GB/T 7714
Bejarano, Adriana C.,Raimondo, Sandy,Barron, Mace G.. Framework for Optimizing Selection of Interspecies Correlation Estimation Models to Address Species Diversity and Toxicity Gaps in an Aquatic Database[J]. 美国环保署,2017,51(14):8158-8165.
APA Bejarano, Adriana C.,Raimondo, Sandy,&Barron, Mace G..(2017).Framework for Optimizing Selection of Interspecies Correlation Estimation Models to Address Species Diversity and Toxicity Gaps in an Aquatic Database.ENVIRONMENTAL SCIENCE & TECHNOLOGY,51(14),8158-8165.
MLA Bejarano, Adriana C.,et al."Framework for Optimizing Selection of Interspecies Correlation Estimation Models to Address Species Diversity and Toxicity Gaps in an Aquatic Database".ENVIRONMENTAL SCIENCE & TECHNOLOGY 51.14(2017):8158-8165.
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