Spatial distribution prediction of soil As in a large-scale arsenic slag contaminated site based on an integrated model and multi-source environmental data

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【作者】Geng Liu，Xin Zhou，Qiang Li，Ying Shi，Guanlin Guo，Long Zhao，Jie Wang，Yingqing Su，Chao Zhang
【刊名】Environmental Pollution
【作者单位】e State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China b Shandong Institute of Geological Sciences, Jinan, 250013, China a Research Center for Scientific Development in Fenhe River Valley, Taiyuan Normal University, Taiyuan, 030012, China d Technical Centre for Ecology and Environment of Soil, Agriculture and Rural Areas, Ministry of Ecology and Environment, Beijing, 100012, China c Department of Biology, Taiyuan Normal University, Taiyuan, 030619, China
【年份】2020
【卷号】Vol.267
【页码】115631
【ISSN】0269-7491
【关键词】Soil pollution Spatial distribution Contaminated site Random forest
【摘要】 Different prediction models have important effects on the accuracy of spatial distribution simulations of heavy metals in soil. This study proposes a model combining a random forest with ordinary kriging , multi-source environmental data such as te...
【文献类型】期刊