Development and use of interspecies correlation estimation models in China for potential application in water quality criteria. (February 2020)
- Record Type:
- Journal Article
- Title:
- Development and use of interspecies correlation estimation models in China for potential application in water quality criteria. (February 2020)
- Main Title:
- Development and use of interspecies correlation estimation models in China for potential application in water quality criteria
- Authors:
- Wang, Xiaonan
Fan, Bo
Fan, Ming
Belanger, Scott
Li, Ji
Chen, Jin
Gao, Xiangyun
Liu, Zhengtao - Abstract:
- Abstract: Establishment of numerical water quality criteria (WQC) has brought increasing interest in China. However, toxicity data to develop robust WQC values (number of toxicity data ≥8) of contaminants based solely on endemic and indigenous species are insufficient. In this study, interspecies correlation estimation (ICE) models were developed using a combination of North American ICE models supplemented with China-specific species to resolve this problem. A total of 207 significant surrogate-predicted models ( p < 0.05, F-test) were derived: 119, 66 and 22 models for vertebrates, invertebrates and plant surrogate species, respectively. Model cross-validation success rate (≥80%), mean square error (MSE, ≤ 0.54), R 2 (≥0.78) and taxonomic distance (≤4, within the same class) were selected as guiding criteria to screen the resulted ICE models. The differences of 5th percentile hazard concentrations (HC5 s) for 6 chemicals (2, 4-dichlorophenol, triclosan, tetrabromobisphenol A, nitrobenzene, perfluorooctane sulfonate and octabromodiphenyl ether) calculated from ICE-based and measured toxicity-based SSDs were within 3-fold among models. Although the number of derived ICE models was not comprehensive and continues to be improved, they can already be used in the development of WQC targeting protection of aquatic life and environmental risk assessments for chemicals lacking toxicity data. Graphical abstract: Image 1 Highlights: ICE models combined USEPA ICE models withAbstract: Establishment of numerical water quality criteria (WQC) has brought increasing interest in China. However, toxicity data to develop robust WQC values (number of toxicity data ≥8) of contaminants based solely on endemic and indigenous species are insufficient. In this study, interspecies correlation estimation (ICE) models were developed using a combination of North American ICE models supplemented with China-specific species to resolve this problem. A total of 207 significant surrogate-predicted models ( p < 0.05, F-test) were derived: 119, 66 and 22 models for vertebrates, invertebrates and plant surrogate species, respectively. Model cross-validation success rate (≥80%), mean square error (MSE, ≤ 0.54), R 2 (≥0.78) and taxonomic distance (≤4, within the same class) were selected as guiding criteria to screen the resulted ICE models. The differences of 5th percentile hazard concentrations (HC5 s) for 6 chemicals (2, 4-dichlorophenol, triclosan, tetrabromobisphenol A, nitrobenzene, perfluorooctane sulfonate and octabromodiphenyl ether) calculated from ICE-based and measured toxicity-based SSDs were within 3-fold among models. Although the number of derived ICE models was not comprehensive and continues to be improved, they can already be used in the development of WQC targeting protection of aquatic life and environmental risk assessments for chemicals lacking toxicity data. Graphical abstract: Image 1 Highlights: ICE models combined USEPA ICE models with China-specific species were developed. 207 significant and 153 robust ICE models of aquatic surrogate species were developed. HC values derived from ICE-based and measured toxicity-based SSDs were within 3-fold. … (more)
- Is Part Of:
- Chemosphere. Volume 240(2020)
- Journal:
- Chemosphere
- Issue:
- Volume 240(2020)
- Issue Display:
- Volume 240, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 240
- Issue:
- 2020
- Issue Sort Value:
- 2020-0240-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-02
- Subjects:
- Interspecies correlation estimations -- Water quality criteria -- Ecological risk assessment -- Aquatic species
Pollution -- Periodicals
Pollution -- Physiological effect -- Periodicals
Environmental sciences -- Periodicals
Atmospheric chemistry -- Periodicals
551.511 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00456535/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.chemosphere.2019.124848 ↗
- Languages:
- English
- ISSNs:
- 0045-6535
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3172.280000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 16395.xml