Ranking Ecological Risk of Metals to Freshwater Organisms in Lake Taihu, China

被引：3

作者：

Wang, Qi ^{[1
]}

Du, Yalin ^{[1
]}

Sun, Fuhong ^{[2
]}

Deng, Xinmiao ^{[1
]}

Chang, Hong ^{[1
]}

机构：

[1] Beijing Forestry Univ, Beijing Key Lab Source Control Technol Water Poll, Coll Environm Sci & Engn, Beijing 100083, Peoples R China

[2] Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China

来源：

JOURNAL OF CHEMISTRY | 2020年 / 2020卷

关键词：

EXPOSURE; THREAT; MODEL; POSE;

D O I：

10.1155/2020/2536207

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

Due to the persistence and the high toxicity of metals to many aquatic organisms, metals in aquatic ecosystems have attracted considerable attention. The objective of the present study was to rank metals in Lake Taihu based on the threat they pose to aquatic organisms. The method involved the assessment of the risks of metals to native aquatic organisms and the potential influence of concentration distributions. Both quotient and probabilistic methods were used to rank the risks of arsenic, cadmium, chromium, copper (Cu), mercury, manganese, nickel (Ni), lead, and zinc (Zn). Based on the probabilistic method, Cu, Ni, and Zn were the metals of great concern, with Cu posing the highest risk.

引用

收藏

页数：6

相关论文

共 27 条

[1]

Chen Y., 2014, UPDATED STUDY WATER

[2]

[陈洋 Chen Yang], 2017, [水生态学杂志, Journal of Hydroecology], V38, P38

[3] Biotic ligand model of the acute toxicity of metals. 1. Technical basis [J].

Di Toro, DM ;

Allen, HE ;

Bergman, HL ;

Meyer, JS ;

Paquin, PR ;

Santore, RC .

ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY, 2001, 20 (10) :2383-2396

[4] Using publicly available data, as physiologically-based pharmacokinetic model and Bayesian simulation to improve arsenic non-cancer dose-response [J].

Dong, Zhaomin ;

Liu, CuiXia ;

Liu, Yanju ;

Yan, Kaihong ;

Semple, Kirk T. ;

Naidu, Ravi .

ENVIRONMENT INTERNATIONAL, 2016, 92-93 :239-246

[5] Development of Lead Source-specific Exposure Standards Based on Aggregate Exposure Assessment: Bayesian Inversion from Biomonitoring Information to Multipathway Exposure [J].

Dong, Zhaomin ;

Hu, Jianying .

ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2012, 46 (02) :1144-1152

[6] A RATIONAL APPROACH TO SELECTING AND RANKING SOME PHARMACEUTICALS OF CONCERN FOR THE AQUATIC ENVIRONMENT AND THEIR RELATIVE IMPORTANCE COMPARED WITH OTHER CHEMICALS [J].

Donnachie, Rachel L. ;

Johnson, Andrew C. ;

Sumpter, John P. .

ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY, 2016, 35 (04) :1021-1027

[7] Using risk-ranking of metals to identify which poses the greatest threat to freshwater organisms in the UK [J].

Donnachie, Rachel L. ;

Johnson, Andrew C. ;

Moeckel, Claudia ;

Pereira, M. Gloria ;

Sumpter, John P. .

ENVIRONMENTAL POLLUTION, 2014, 194 :17-23

[8] Copper and zinc, but not other priority toxic metals, pose risks to native aquatic species in a large urban lake in Eastern China [J].

Fu, Zhiyou ;

Wu, Fengchang ;

Chen, Lulu ;

Xu, Bingbing ;

Feng, Chenglian ;

Bai, Yingchen ;

Liao, Haiqing ;

Sun, Siyang ;

Giesy, John P. ;

Guo, Wenjing .

ENVIRONMENTAL POLLUTION, 2016, 219 :1069-1076

[9] Which Commonly Monitored Chemical Contaminant in the Bohai Region and the Yangtze and Pearl Rivers of China Poses the Greatest Threat to Aquatic Wildlife? [J].

Johnson, Andrew C. ;

Juergens, Monika D. ;

Su, Chao ;

Zhang, Meng ;

Zhang, Yueqing ;

Shi, Yajuan ;

Sweetman, Andrew ;

Jin, Xiaowei ;

Lu, Yonglong .

ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY, 2018, 37 (04) :1115-1121

[10] An alternative approach to risk rank chemicals on the threat they pose to the aquatic environment [J].

Johnson, Andrew C. ;

Donnachie, Rachel L. ;

Sumpter, John P. ;

Jurgens, Monika D. ;

Moeckel, Claudia ;

Pereira, M. Gloria .

SCIENCE OF THE TOTAL ENVIRONMENT, 2017, 599 :1372-1381