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| Assessment of Pollution and Heavy Metals in Filtered Water and Surface Sediments of Taihu Lake by Using ICP-MS |
| FANG Fang1, JI Yu-shan1, LI Xiang1, BAI Na1, LIU Ying1,2* |
1. College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
2. Beijing Engineering Research Center of Food Environment and Public Health, Minzu University of China, Beijing 100081, China |
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Abstract Cadmium (Cd), chromium (Cr), copper (Cu), nickel (Ni), zinc (Zn) and lead (Pb) of filtered water in 22 sampling sites and surface sediments of 18 sampling sites in Taihu Lake were measured with inductively coupled plasma mass spectrometry (ICP-MS). Meanwhile, in filtered water and surface sediments, the pollution evaluation were conducted by using singer factor pollution (Ii), intergrated Nemerow pollution index (I), index of geoaccumulation (Igeo), potential ecological risk index (RI) and mean potential effects concentration quotient (mPEC-Q), respectively. The results showed that the contents of Cu, Ni and Zn were the highest in filtered water except S3, S4, S20 and S22 sampling sites. The sequence of heavy metals content levels: Zn>Ni>Cu>Cr>Cd>Pb. The Ii and I values in the study area were less than 1, indicating that five heavy metals (Ni has no standard limit) were in clean condition in all sampling points. The contents of the six elements in the surface sediments exceeded the local background values, and the sequence of average contents: Zn>Cr>Pb>Ni>Cu>Cd, and at S12 sampling point (Fisherman’s Ecological Park), the content of the six elements were the highest. They had the largest Igeo, RI (327) and mPEC-Q (0.605), indicating that there were different degrees of pollution in sediments. The results of source analysis showed that the six heavy metals had a large correlation, Cd, Cu, Pb, Zn were greatly influenced by electroplating, smelting industrial production and the use of chemical fertilizers at agricultural activities. The results will provide a credible experimental basis for tracing the origin, migration, biological effects and comprehensive management of heavy metals in Taihu Lake.
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Received: 2017-05-02
Accepted: 2017-10-29
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Corresponding Authors:
LIU Ying
E-mail: liuying4300@163.com
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[1] Guan Q Y, Wang L, Pan B T, et al. Chemosphere, 2016, 144: 29.
[2] Tian M J, Ma X L, Jia J, et al. Taylor & Francise, 2016, 22: 1620.
[3] CHEN Chun-xiao, JIANG Xia, ZHAN Yu-zhu. et al(陈春霄, 姜 霞, 战玉柱，等). Environmental Science(环境科学), 2011, 31(11): 1842.
[4] MA Xiao-ling, LIU Jing-jun, DENG Feng-yu, et al(马小玲, 刘菁钧, 邓凤玉，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2015, 35(10): 2872.
[5] BIAN Bo, ZHOU Yan, ZHANG Qin(边 博, 周 燕, 张 琴). Environmental Science(环境科学), 2017, 38(4): 1442.
[6] FANG Bin-bin, YU Yang, JIANG Wei-li, et al(方斌斌, 于 洋, 姜伟丽，等). Journal of Ecology and Rural Environment(生态与农村环境学报), 2017, 33(3): 215.
[7] LI Ming, LIU Qi-jing(李 鸣, 刘琪璟). Journal of Nanchang University·Natural Science(南昌大学学报·理科版), 2010, 34(5): 486.
[8] YUE Rong, ZHANG Hong, SHI Rui, et al(岳 荣, 张 红, 史 锐，等). Journal of Anhui Agricultural Sciences(安徽农业科学), 2015, 43(31): 376.
[9] YU Hui, ZHANG Wen-bin, YU Jian-ping(余 辉, 张文斌, 余建平). Environmental Science(环境科学), 2011, 32(2): 437.
[10] WANG Qin, DING Ming-yu, ZHANG Zhi-jie, et al(王 钦, 丁明玉, 张志洁，等). Ecology and Environment(生态环境), 2008, 17(4): 1362. |
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