Title | Development of ecological risk assessment for Diisobutyl phthalate and di-n-octyl phthalate in surface water of China based on species sensitivity distribution model |
Author | |
Corresponding Author | Jianghong,Shi; Xiao-yan,Li |
Publication Years | 2022-11-01
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DOI | |
Source Title | |
ISSN | 0045-6535
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EISSN | 1879-1298
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Volume | 307 |
Abstract | Phthalic acid esters (PAEs) are commonly used as plasticizer and are emerging concern worldwide for potent adverse effects of aquatic organisms. Certain PAEs were often detected in different environmental matrices but related toxicity data were still lacking to support their risk assessment. The study investigated the acute toxicity of Diisobutyl phthalate (DiBP) and Di-n-octyl phthalate (DnOP) using 6 Chinese resident aquatic organisms from 3 phyla and 6 species and constructed the species sensitivity distribution (SSD) models for ecological risk assessment. Lethal concentration 50% (LC) ranges of DiBP and DnOP were 4.89–21.45 mg/L and 1.45–1200 mg/L, respectively. The derived acute and chronic predicted no-effect concentrations (PNECs) based on log-normal model of water were 0.54 and 0.04 mg/L for DiBP and 0.23 and 0.05 mg/L for DnOP, respectively. The ERA for DiBP and DnOP in the surface water and sediment of China was conducted. Water samples of Haihe Rive (RQ = 0.41) and Hun River (RQ = 0.16) of DiBP showed medium risk. And sediment samples of Yellow River (RQ = 0.71) and Chao Hu Lake (RQ = 0.42) of DiBP showed medium risk. Meanwhile, the above water and sediment samples (RQ<0.1) of DnOP showed low risk. |
Keywords | |
URL | [Source Record] |
Indexed By | |
Language | English
|
SUSTech Authorship | First
; Corresponding
|
Funding Project | Ministry of Science and Technology of the People's Republic of China[2018YFC1801603]
; National Natural Science Foundation of China[21976079]
; National Natural Science Foundation of China[41977325]
; Science, Technology and Innovation Commission of Shenzhen Municipality[JCYJ20190809171201660]
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EI Accession Number | 20223412606388
|
EI Keywords | Aquatic Organisms
; Ecology
; Esters
; Population Distribution
; Sediments
; Surface Waters
; Toxicity
|
ESI Classification Code | Surveying:405.3
; Surface Water:444.1
; Ecology And Ecosystems:454.3
; Health Care:461.7
; Marine Science And Oceanography:471
; Soil Mechanics And Foundations:483
; Organic Compounds:804.1
; Codes And StAndards:902.2
; Accidents And Accident Prevention:914.1
|
ESI Research Field | ENVIRONMENT/ECOLOGY
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Scopus EID | 2-s2.0-85136153571
|
Data Source | Scopus
|
Citation statistics |
Cited Times [WOS]:1
|
Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/401601 |
Department | School of Environmental Science and Engineering |
Affiliation | 1.School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China 2.Environmental Engineering Research Centre,Department of Civil Engineering,The University of Hong Kong,Hong Kong,Hong Kong 3.College of Architecture and Civil Engineering,Beijing University of Technology,Beijing,100124,China |
First Author Affilication | School of Environmental Science and Engineering |
Corresponding Author Affilication | School of Environmental Science and Engineering |
First Author's First Affilication | School of Environmental Science and Engineering |
Recommended Citation GB/T 7714 |
Huan-yu,Tao,Jiawei,Zhang,Li bin,,et al. Development of ecological risk assessment for Diisobutyl phthalate and di-n-octyl phthalate in surface water of China based on species sensitivity distribution model[J]. CHEMOSPHERE,2022,307.
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APA |
Huan-yu,Tao.,Jiawei,Zhang.,Li bin,.,Hui,Ge.,Mengtao,Zhang.,...&Xiao-yan,Li.(2022).Development of ecological risk assessment for Diisobutyl phthalate and di-n-octyl phthalate in surface water of China based on species sensitivity distribution model.CHEMOSPHERE,307.
|
MLA |
Huan-yu,Tao,et al."Development of ecological risk assessment for Diisobutyl phthalate and di-n-octyl phthalate in surface water of China based on species sensitivity distribution model".CHEMOSPHERE 307(2022).
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