Literature DB >> 30754008

Quantitative analysis of the factors influencing spatial distribution of soil heavy metals based on geographical detector.

Pengwei Qiao1, Sucai Yang2, Mei Lei3, Tongbin Chen3, Nan Dong4.   

Abstract

With the rapid development of modern industry, heavy metals in the soil introduce the risk of serious pollution. To reduce this pollution risk, the following four research questions needed to be addressed: What are the main influencing factors of soil pollution? What is the degree of influence? Do factors operate independently or are they interconnected? Which regions have high pollution risk and should be paid more attention? The study area was in Huanjiang County, with 273 km2, and geographical detector proved to be a useful tool to solve these four problems. We found that mine activity and pH value were the primary influencing factors for total and water-soluble heavy metals. The interaction effects of mine activity and soil type, pH values, and normalized difference vegetation index (NDVI) for total heavy metals, as well as pH value and mine activity for water-soluble heavy metals, were greater than the sum effect of two factors. Zones with a high concentration of heavy metals were closer to the road and farther from the mine area, which had low NDVI, large slope, high terrain, and large pH values. Concentrations of total heavy metals were higher in calcareous soils and in dryland and forests. Zones with a higher concentration of water-soluble heavy metals were closer to the mine and river, which had lower DEM and pH values. The uncertainty of geographical detector was also analyzed on the basis of their interpolation accuracy and the stratification number of influencing factors, and we found that the existing sample numbers and the stratification number of influencing factors met the needs of geographical detector calculation. This study's conclusions are useful for soil pollution control and restoration.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Geographical detector; Heavy metal pollution; Influencing degree; Influencing factors; Interaction influence; Risk zone

Year:  2019        PMID: 30754008     DOI: 10.1016/j.scitotenv.2019.01.310

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Assessment of Heavy Metal Content in Soil and Lycopersicon esculentum (Tomato) and Their Health Implications.

Authors:  Semaghiul Birghila; Nicoleta Matei; Simona Dobrinas; Viorica Popescu; Alina Soceanu; Anamaria Niculescu
Journal:  Biol Trace Elem Res       Date:  2022-04-29       Impact factor: 3.738

2.  Spatiotemporal Pattern of Urban-Rural Integration Development and Its Driving Mechanism Analysis in Hangzhou Bay Urban Agglomeration.

Authors:  Caiyao Xu; Chen Qian; Wencai Yang; Bowei Li; Lingqian Kong; Fanbin Kong
Journal:  Int J Environ Res Public Health       Date:  2022-07-09       Impact factor: 4.614

  2 in total

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