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Using ensemble models to identify and apportion heavy metal pollution sources in agricultural soils on a local scale

文献类型： 外文期刊

作者： Wang, Qi 1 ; Xie, Zhiyi 2 ; Li, Fangbai 1 ;

作者机构： 1.Guangdong Inst Ecoenvironm & Soil Sci, Guangdong Key Lab Agr Environm Pollut Integrated, Guangzhou, Guangdong, Peoples R China

2.Guangdong Environm Monitoring Ctr, Guangzhou, Guangdong, Peoples R China

关键词： Heavy metals;Pollution source;Agricultural soil;Local scale;Ensemble model

期刊名称：ENVIRONMENTAL POLLUTION （ 影响因子：8.071； 五年影响因子：8.35 ）

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收录情况： SCI

摘要： This study aims to identify and apportion multi-source and multi-phase heavy metal pollution from natural and anthropogenic inputs using ensemble models that include stochastic gradient boosting (SGB) and random forest (RE) in agricultural soils on the local scale. The heavy metal pollution sources were quantitatively assessed, and the results illustrated the suitability of the ensemble models for the assessment of multi-source and multi-phase heavy metal pollution in agricultural soils on the local scale. The results of SGB and RF consistently demonstrated that anthropogenic sources contributed the most to the concentrations of Pb and Cd in agricultural soils in the study region and that SGB performed better than RF. (C) 2015 Elsevier Ltd. All rights reserved.

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