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Source Identification and Apportionment of Trace Elements in Soils in the Yangtze River Delta, China.
Int J Environ Res Public Health. 2018 06 12; 15(6)IJ

Abstract

Trace elements pollution has attracted a lot of attention worldwide. However, it is difficult to identify and apportion the sources of multiple element pollutants over large areas because of the considerable spatial complexity and variability in the distribution of trace elements in soil. In this study, we collected total of 2051 topsoil (0⁻20 cm) samples, and analyzed the general pollution status of soils from the Yangtze River Delta, Southeast China. We applied principal component analysis (PCA), a finite mixture distribution model (FMDM), and geostatistical tools to identify and quantitatively apportion the sources of seven kinds of trace elements (chromium (Cr), cadmium (Cd), mercury (Hg), copper (Cu), zinc (Zn), nickel (Ni), and arsenic (As)) in soil. The PCA results indicated that the trace elements in soil in the study area were mainly from natural, multi-pollutant and industrial sources. The FMDM also fitted three sub log-normal distributions. The results from the two models were quite similar: Cr, As, and Ni were mainly from natural sources caused by parent material weathering; Cd, Cu, and Zu were mainly from mixed sources, with a considerable portion from anthropogenic activities such as traffic pollutants, domestic garbage, and agricultural inputs, and Hg was mainly from industrial wastes and pollutants.

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Authors+Show Affiliations

Shao S
Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China. sshuai@zju.edu.cn.
Hu B
Science du Sol, INRA, 45075 Orléans, France. bifeng.hu@inra.fr. Unité InfoSol, INRA, US 1106, 45075 Orléans, France. bifeng.hu@inra.fr. Sciences de la Terre et de lthe'Univers, Orléans University, 45067 Orleans, France. bifeng.hu@inra.fr.
Fu Z
Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China. fzy513432821@gmail.com.
Wang J
Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China. wangjiayu_zju@163.com.
Lou G
Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China. lllouxbai@outlook.com.
Zhou Y
Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China. yuezhou@zju.edu.cn.
Jin B
Ningbo Agricultural Food Safety Management Station, Ningbo 315000, China. dd923068626@163.com.
Li Y
Institute of Land Science and Property, School of Public Affairs, Zhejiang University, Hangzhou 310058, China. liyan522@zju.edu.cn.
Shi Z
Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China. shizhou@zju.edu.cn.

MeSH

ChinaEnvironmental MonitoringEnvironmental PollutionMetals, HeavyModels, StatisticalPrincipal Component AnalysisRiversSoilSoil PollutantsSpatial AnalysisTrace Elements

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

29895746

Citation

Shao, Shuai, et al. "Source Identification and Apportionment of Trace Elements in Soils in the Yangtze River Delta, China." International Journal of Environmental Research and Public Health, vol. 15, no. 6, 2018.
Shao S, Hu B, Fu Z, et al. Source Identification and Apportionment of Trace Elements in Soils in the Yangtze River Delta, China. Int J Environ Res Public Health. 2018;15(6).
Shao, S., Hu, B., Fu, Z., Wang, J., Lou, G., Zhou, Y., Jin, B., Li, Y., & Shi, Z. (2018). Source Identification and Apportionment of Trace Elements in Soils in the Yangtze River Delta, China. International Journal of Environmental Research and Public Health, 15(6). https://doi.org/10.3390/ijerph15061240
Shao S, et al. Source Identification and Apportionment of Trace Elements in Soils in the Yangtze River Delta, China. Int J Environ Res Public Health. 2018 06 12;15(6) PubMed PMID: 29895746.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Source Identification and Apportionment of Trace Elements in Soils in the Yangtze River Delta, China. AU - Shao,Shuai, AU - Hu,Bifeng, AU - Fu,Zhiyi, AU - Wang,Jiayu, AU - Lou,Ge, AU - Zhou,Yue, AU - Jin,Bin, AU - Li,Yan, AU - Shi,Zhou, Y1 - 2018/06/12/ PY - 2018/05/20/received PY - 2018/06/09/revised PY - 2018/06/09/accepted PY - 2018/6/14/entrez PY - 2018/6/14/pubmed PY - 2019/1/3/medline KW - Yangtze River Delta KW - finite mixture distribution model (FMDM) KW - principal component analysis (PCA) KW - source identification and apportionment KW - trace elements JF - International journal of environmental research and public health JO - Int J Environ Res Public Health VL - 15 IS - 6 N2 - Trace elements pollution has attracted a lot of attention worldwide. However, it is difficult to identify and apportion the sources of multiple element pollutants over large areas because of the considerable spatial complexity and variability in the distribution of trace elements in soil. In this study, we collected total of 2051 topsoil (0⁻20 cm) samples, and analyzed the general pollution status of soils from the Yangtze River Delta, Southeast China. We applied principal component analysis (PCA), a finite mixture distribution model (FMDM), and geostatistical tools to identify and quantitatively apportion the sources of seven kinds of trace elements (chromium (Cr), cadmium (Cd), mercury (Hg), copper (Cu), zinc (Zn), nickel (Ni), and arsenic (As)) in soil. The PCA results indicated that the trace elements in soil in the study area were mainly from natural, multi-pollutant and industrial sources. The FMDM also fitted three sub log-normal distributions. The results from the two models were quite similar: Cr, As, and Ni were mainly from natural sources caused by parent material weathering; Cd, Cu, and Zu were mainly from mixed sources, with a considerable portion from anthropogenic activities such as traffic pollutants, domestic garbage, and agricultural inputs, and Hg was mainly from industrial wastes and pollutants. SN - 1660-4601 UR - https://www.unboundmedicine.com/medline/citation/29895746/Source_Identification_and_Apportionment_of_Trace_Elements_in_Soils_in_the_Yangtze_River_Delta_China_ DB - PRIME DP - Unbound Medicine ER -