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Spatial variation and influence factor analysis of soil heavy metal As based on geoDetector

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Abstract

Heavy metals in soil are closely related to our production and life. As heavy metal has relatively high toxicity, it is necessary to clarify its existence. This study took Liaocheng City as the study area. Sampling was carried out by the 10 km × 10 km grid center method and the concentration of heavy metal arsenic (As) at the sampling points was extracted. Based on the national secondary standard and Shandong background value, the single factor index was used to evaluate the status of heavy metal As in the soil of Liaocheng City, and eight factors related to heavy metal As were selected. This study used geographic detectors to identify spatial relationships among the factors. By the statistical description of the heavy metal As in the soil of Liaocheng City and the evaluation of the single factor index, we found that there was light pollution in most areas of Liaocheng City. By analyzing the results of the GeoDetector, it was found that the soil organic matter, soil subcategory, distance to river, and GDP were the dominant factors that affected the concentration and spatial variation of heavy metal As. The interaction results showed that the interaction between GDP and other influencing factors significantly increased the explanatory power of As.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Nos. 41301509).

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Authors and Affiliations

  1. College of Surveying and Mapping Geo-Informatics, Shandong Jianzhu University, Jinan, Shandong, China

    Xvlu Wang, Yingjun Sun, Liping Zhang & Yuang Mei

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  1. Xvlu Wang
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  2. Yingjun Sun
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  4. Yuang Mei
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Correspondence to Yingjun Sun.

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Wang, X., Sun, Y., Zhang, L. et al. Spatial variation and influence factor analysis of soil heavy metal As based on geoDetector. Stoch Environ Res Risk Assess 35, 2021–2030 (2021). https://doi.org/10.1007/s00477-021-01976-4

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