Zhuang, Wen; Wang, Qian; Tang, Lebin; Liu, Jinhu; Yue, Wen; Liu, Yongxia; Zhou, Fengxia
; Chen, Qing; Wang, Mantang发表期刊ECOLOGICAL INDICATORS
ISSN1470-160X
2018-06
卷号89页码:725-737
关键词New indexMetalSedimentEcological riskThe Nansihu Lake
研究领域Biodiversity & Conservation; Environmental Sciences & Ecology
DOI10.1016/j.ecolind.2018.02.033
产权排序[Zhuang, Wen; Wang, Qian; Tang, Lebin; Liu, Jinhu; Yue, Wen; Liu, Yongxia; Wang, Mantang] Zaozhuang Univ, Coll City & Architecture Engn, Res Ctr Aquat Ecol Environm, Zaozhuang 277160, Shandong, Peoples R China; [Chen, Qing] Zaozhuang Univ, Coll Life Sci, Zaozhuang 277160, Shandong, Peoples R China; [Zhuang, Wen] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Shandong, Peoples R China; [Zhou, Fengxia] Guangdong Ocean Univ, Guangdong Prov Key Lab Coastal Ocean Variat & Dis, Zhanjiang 524088, Guangdong, Peoples R China
作者部门中国科学院海岸带环境过程重点实验室
英文摘要This study focuses on the establishment of a new ecological risk assessment method called as multiparameter evaluation index (MPE) by a combination of speciation, toxicity coefficient, and receptor model of metal elements in sediments and the application of MPE in the assessment of ecological risks of Be, Sb, and Tl in the Nansihu Lake. Because of lack of toxicity coefficient values for Be, Sb, and Tl, their toxicity coefficients were calculated in this study. Speciation analysis showed that Sb had better mobility and bioavailability than Be and Tl. Source apportionment results showed that Be and Sb were mainly from human activities and introduced minerals. Tl was mainly an inherent mineral. MPE results showed that the degree of ecological risk was Be > Sb >> Tl. MPE could distinguish the ecological risk levels more accurately than current indices such as RI and RAC.
文章类型Article
资助机构Natural Science Foundation of Shandong Province, China [ZR2017QD012, ZR2014DP005]; Innovative Training Program for College Students of China [201610904148, 201710904118]; National Natural Science Foundation of China [31600080]
收录类别SCI
语种英语
关键词[WOS]NATURAL-WATERS; ANTIMONY; CONTAMINATION; ENVIRONMENT; POLLUTION; THALLIUM; CHINA; BOG; BAY
研究领域[WOS]Biodiversity Conservation; Environmental Sciences
WOS记录号WOS:000430760900071
引用统计被引频次：18[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/24458
专题中科院海岸带环境过程与生态修复重点实验室
中科院海岸带环境过程与生态修复重点实验室_污染过程与控制实验室
作者单位1.Zaozhuang Univ, Coll City & Architecture Engn, Res Ctr Aquat Ecol Environm, Zaozhuang 277160, Shandong, Peoples R China;
2.Zaozhuang Univ, Coll Life Sci, Zaozhuang 277160, Shandong, Peoples R China;
3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Shandong, Peoples R China;
4.Guangdong Ocean Univ, Guangdong Prov Key Lab Coastal Ocean Variat & Dis, Zhanjiang 524088, Guangdong, Peoples R China
推荐引用方式
GB/T 7714Zhuang, Wen,Wang, Qian,Tang, Lebin,et al. A new ecological risk assessment index for metal elements in sediments based on receptor model, speciation, and toxicity coefficient by taking the Nansihu Lake as an example[J]. ECOLOGICAL INDICATORS,2018,89:725-737.
APAZhuang, Wen.,Wang, Qian.,Tang, Lebin.,Liu, Jinhu.,Yue, Wen.,...&Wang, Mantang.(2018).A new ecological risk assessment index for metal elements in sediments based on receptor model, speciation, and toxicity coefficient by taking the Nansihu Lake as an example.ECOLOGICAL INDICATORS,89,725-737.
MLAZhuang, Wen,et al."A new ecological risk assessment index for metal elements in sediments based on receptor model, speciation, and toxicity coefficient by taking the Nansihu Lake as an example".ECOLOGICAL INDICATORS 89(2018):725-737.
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