文献类型：期刊文献

英文题名：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

作者：Zhuang, Wen[1,3];Wang, Qian[1];Tang, Lebin[1];Liu, Jinhu[1];Yue, Wen[1];Liu, Yongxia[1];Zhou, Fengxia[4];Chen, Qing[2];Wang, Mantang[1]

机构：[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

年份：2018

卷号：89

起止页码：725

外文期刊名：ECOLOGICAL INDICATORS

收录：SCI-EXPANDED(收录号：WOS:000430760900071)、、EI(收录号：20181004878635)、Scopus(收录号：2-s2.0-85042873946)、WOS

基金：This study was co-supported by the Natural Science Foundation of Shandong Province, China (ZR2017QD012 and ZR2014DP005), the Innovative Training Program for College Students of China (201610904148 and 201710904118), and the National Natural Science Foundation of China (31600080). We also appreciate editors and anonymous referees for their excellent work.

语种：英文

外文关键词：New index; Metal; Sediment; Ecological risk; The Nansihu Lake

外文摘要：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.