Spatial distribution based on optimal interpolation techniques and assessment of contamination risk for toxic metals in the surface soil

Arnab Saha, Bhaskar Sen Gupta, Sandhya Patidar, Nadia Martínez-Villegas

Research output: Contribution to journalArticlepeer-review

Abstract

The condition of the soil environment is critical for human health and agricultural sustainability. As a result, the environmental and ecological issues impacting the soils throughout the world are receiving more attention. This research focuses on local site-specific studies in Cerrito Blanco, Matehuala municipality, San Luis Potosi, Mexico, and describes different types of GIS interpolation techniques, multivariate statistical analysis, and various contamination indices to investigate the relationship between predictive accuracy, levels of contamination risk, and soil toxic metal elements variation. Inductively coupled plasma optical emission spectroscopy (ICP-EOS) used to test 39 digested surface soil samples for significant toxic metals (Ag, Cd, Co, Cr, Li, and Ni) after suitable dilution with deionised water. According to the results, we found that only the mean value of cadmium (Cd) exceeded the permissible standard value. After evaluating the four types of interpolation techniques, the Inverse Distance Weighting (IDW) was determined to be the optimal interpolation model for assessing the spatial distribution patterns of toxic metal concentration in the research area. The calculated contamination risk indices showed no significant high contamination risk due to soil-borne toxic metals. These results provide a comprehensive analysis of the impact of past mining activities on toxic metal concentrations in non-cultivated surface soil.
Original languageEnglish
Article number103763
JournalJournal of South American Earth Sciences
Volume115
Early online date10 Mar 2022
DOIs
Publication statusPublished - Apr 2022

Keywords

  • Contamination indices
  • GIS
  • Soil contamination
  • Spatial distribution
  • Toxic metals

ASJC Scopus subject areas

  • Earth-Surface Processes
  • Geology

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