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Source Identification and Apportionment of Trace Elements in Soils in the Yangtze River Delta, China

Author

Listed:
  • Shuai Shao

    (Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China)

  • Bifeng Hu

    (Science du Sol, INRA, 45075 Orléans, France
    Unité InfoSol, INRA, US 1106, 45075 Orléans, France
    Sciences de la Terre et de lthe’Univers, Orléans University, 45067 Orleans, France)

  • Zhiyi Fu

    (Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China)

  • Jiayu Wang

    (Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China)

  • Ge Lou

    (Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China)

  • Yue Zhou

    (Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China)

  • Bin Jin

    (Ningbo Agricultural Food Safety Management Station, Ningbo 315000, China)

  • Yan Li

    (Institute of Land Science and Property, School of Public Affairs, Zhejiang University, Hangzhou 310058, China)

  • Zhou Shi

    (Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou 310058, China)

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.

Suggested Citation

  • Shuai Shao & Bifeng Hu & Zhiyi Fu & Jiayu Wang & Ge Lou & Yue Zhou & Bin Jin & Yan Li & Zhou Shi, 2018. "Source Identification and Apportionment of Trace Elements in Soils in the Yangtze River Delta, China," IJERPH, MDPI, vol. 15(6), pages 1-14, June.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:6:p:1240-:d:151976
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    References listed on IDEAS

    as
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