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Application of a combined approach including contamination indexes, geographic information system and multivariate statistical models in levels, distribution and sources study of metals in soils in Northern China

Huang, Kuixian ; Luo, Xingzhang ; Zheng, Zheng

PloS one, 2018, Vol.13(2), pp.e0190906 [Tạp chí có phản biện]

E-ISSN: 1932-6203 ; PMID: 29474412 Version:1 ; DOI: 10.1371/journal.pone.0190906

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  • Nhan đề:
    Application of a combined approach including contamination indexes, geographic information system and multivariate statistical models in levels, distribution and sources study of metals in soils in Northern China
  • Tác giả: Huang, Kuixian ; Luo, Xingzhang ; Zheng, Zheng
  • Chủ đề: Metals, Heavy -- Analysis ; Soil -- Chemistry ; Soil Pollutants -- Analysis
  • Là 1 phần của: PloS one, 2018, Vol.13(2), pp.e0190906
  • Mô tả: The purpose of this study is to recognize the contamination characteristics of trace metals in soils and apportion their potential sources in Northern China to provide a scientific basis for basic of soil environment management and pollution control. The data set of metals for 12 elements in surface soil samples was collected. The enrichment factor and geoaccumulation index were used to identify the general geochemical characteristics of trace metals in soils. The UNMIX and positive matrix factorizations (PMF) models were comparatively applied to apportion their potential sources. Furthermore, geostatistical tools were used to study the spatial distribution of pollution characteristics and to identify the affected regions of sources that were derived from apportionment models. The soils were contaminated by Cd, Hg, Pb and Zn to varying degree. Industrial activities, agricultural activities and natural sources were identified as the potential sources determining the contents of trace metals in soils with contributions of 24.8%-24.9%, 33.3%-37.2% and 38.0%-41.8%, respectively. The slightly different results obtained from UNMIX and PMF might be caused by the estimations of uncertainty and different algorithms within the models.
  • Ngôn ngữ: English
  • Số nhận dạng: E-ISSN: 1932-6203 ; PMID: 29474412 Version:1 ; DOI: 10.1371/journal.pone.0190906

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