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Assessment of spatial distribution of soil heavy metals using ANN-GA, MSLR and satellite imagery

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An Erratum to this article was published on 24 May 2017

Abstract

This study aims to assess and compare heavy metal distribution models developed using stepwise multiple linear regression (MSLR) and neural network-genetic algorithm model (ANN-GA) based on satellite imagery. The source identification of heavy metals was also explored using local Moran index. Soil samples (n = 300) were collected based on a grid and pH, organic matter, clay, iron oxide contents cadmium (Cd), lead (Pb) and zinc (Zn) concentrations were determined for each sample. Visible/near-infrared reflectance (VNIR) within the electromagnetic ranges of satellite imagery was applied to estimate heavy metal concentrations in the soil using MSLR and ANN-GA models. The models were evaluated and ANN-GA model demonstrated higher accuracy, and the autocorrelation results showed higher significant clusters of heavy metals around the industrial zone. The higher concentration of Cd, Pb and Zn was noted under industrial lands and irrigation farming in comparison to barren and dryland farming. Accumulation of industrial wastes in roads and streams was identified as main sources of pollution, and the concentration of soil heavy metals was reduced by increasing the distance from these sources. In comparison to MLSR, ANN-GA provided a more accurate indirect assessment of heavy metal concentrations in highly polluted soils. The clustering analysis provided reliable information about the spatial distribution of soil heavy metals and their sources.

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Authors and Affiliations

  1. Department of Soil Science, Faculty of Agriculture, University of Zanjan, Zanjan, Iran

    Arman Naderi, Mohammad Amir Delavar & Mohammad Sadegh Askari

  2. Department of Chemistry, Institute for Advanced Studies in Basic Sciences, Gavazang, Zanjan, Iran

    Babak Kaboudin

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  1. Arman Naderi
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  2. Mohammad Amir Delavar
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  4. Mohammad Sadegh Askari
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Correspondence to Mohammad Amir Delavar.

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The original version of this article was revised: The first and fourth authors publication names should have been Arman Naderi and Mohammad Sadegh Askari instead of Arman Nadari and Mohammad Sagdegh Askari.

An erratum to this article is available at http://dx.doi.org/10.1007/s10661-017-5973-8.

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Naderi, A., Delavar, M.A., Kaboudin, B. et al. Assessment of spatial distribution of soil heavy metals using ANN-GA, MSLR and satellite imagery. Environ Monit Assess 189, 214 (2017). https://doi.org/10.1007/s10661-017-5821-x

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