期刊
ENVIRONMENTAL POLLUTION
卷 206, 期 -, 页码 227-235出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.envpol.2015.06.040
关键词
Heavy metals; Pollution source; Agricultural soil; Local scale; Ensemble model
资金
- National Natural Science Foundation of China [41330857]
- Guangdong Province Foundation [CSJ143356]
- 863 Program [2013AA06A209]
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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