Multiple methods for the identification of heavy metal sources in cropland soils from a resource-based region

文献类型： 外文期刊

第一作者： Dong, Bo

作者： Dong, Bo;Zhang, Renzhi;Cai, Liqun;Wang, Kepeng;Dong, Bo;Guo, Tianwen;Gan, Yandong;Gan, Yandong;Freidenreich, Ariel;Wang, Hongbin

作者机构：

关键词： Loess Plateau; Heavy metal; Positive matrix factorization (PMF); Soil pollution; Source appointment

期刊名称：SCIENCE OF THE TOTAL ENVIRONMENT （ 影响因子：7.963； 五年影响因子：7.842 ）

ISSN： 0048-9697

年卷期： 2019 年 651 卷

页码：

收录情况： SCI

摘要： Examination of heavy metal sources in soils from a resource-based region is essential for source identification and implementation of restoration strategies regarding soil contamination. A total of 1069 samples were collected from cropland soils in the Baiyin District (Loess Plateau, Northwest China), a characteristically resource-based region to investigate the sources of arsenic (As), chromium (Cr), copper (Cu), manganese (Mn), nickel (Ni), lead (Pb), vanadium (V), and zinc (Zn). Source identification was analyzed by multiple methods including spatial deviation (SD), correlation analysis (CA), enrichment factor (EF), principal component analysis (PCA), geographic information system (GIS), and positive matrix factorization (PMF). The results showed the combined applications of PMF, GIS, and PCA were accurate, pragmatic, and effective for source apportionment. Three origins were identified and the contribution rates were calculated as follows: approximately 95% of As came from wastewater irrigation; 75, 88, 60, and 76% of Cr, Mn, Ni, and V were separately derived from natural origins; and 81,93, and 70% of Cu, Pb, and Zn originated from industrial sources, respectively. Natural origins, industrial sources, and wastewater irrigation were the three main contributors of heavy metals to cropland soils in this region. (C) 2018 Elsevier B.V. All rights reserved.

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