Identification of soil heavy metal sources and improvement in spatial mapping based on soil spectral information: A case study in northwest China

Tao Chen*, Qingrui Chang, Jing Liu, J.G.P.W. Clevers, L. Kooistra

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

89 Citations (Scopus)

Abstract

In a sewage irrigation area of northwest China, 52 topsoil samples were collected to measure the contents of arsenic (As), chromium (Cr), copper (Cu), mercury (Hg), manganese (Mn), nickel (Ni), lead (Pb) and zinc (Zn). To identify their sources, multivariate statistics and geostatistics were applied to separate pedogenic elements (As and Mn) from anthropogenic elements (Cr, Cu, Hg, Ni, Pb and Zn). The accumulation of soil Hg was mainly attributed to long-term sewage irrigation, whereas Cr, Ni and Zn were mainly from industrial activities and dust deposition. In addition to the impacts of industry and dust, traffic-related factors were the main sources of Pb and Cu contamination. Based on the relationships of heavy metals with various soil properties and reflectance spectra, co-kriging (CK) was used to improve the interpolation of heavy metals. Comparatively, soil spectra were more suitable as covariates due to their ease and low-cost of collecting as features.

Original languageEnglish
Pages (from-to)155-164
JournalScience of the Total Environment
Volume565
DOIs
Publication statusPublished - 2016

Keywords

  • Co-kriging
  • Reflectance spectra
  • Soil heavy metals
  • Source identification
  • Spatial distribution

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