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SaveShare Save Share Save Share Save Share Save Share Save Share Save Spatial-machine learning framework for rapid identification of soil cadmium risk in high geochemical background areas
Li, Cheng; Yang, Zhongfang; Guan, Dong-Xing; Yu, Tao; Jiang, Zhongcheng; Wu, Xiangke; Yang, Yeyu; Luan, Song; Xu, Haofan; Huang, Changchen; Zhao, Liangjie Share Save Share Save Mechanism of cadmium (Cd) enrichment in the soil of karst areas with high geochemical background in Southwest ChinaLi, Bo; Lin, Kun; Liu, Xu; Ma, Xudong; Li, Xuezhen; Wu, Zhiliang; Li, Cheng; Yu, Tao; Wu, Tiansheng; Yang, Zhongfang Share Save Improved mapping of heavy metals in agricultural soils using machine learning augmented with spatial regionalization indicesMa, Xudong; Guan, Dong-Xing; Zhang, Chaosheng; Yu, Tao; Li, Cheng; Wu, Zhiliang; Li, Bo; Geng, Wenda; Wu, Tiansheng; Yang, Zhongfang Share Save Share Save Machine learning-based prediction of cadmium pollution in topsoil and identification of critical driving factors in a mining areaLi, Cheng; Jiang, Zhongcheng; Li, Wenli; Yu, Tao; Wu, Xiangke; Hu, Zhaoxin; Yang, Yeyu; Yang, Zhongfang; Xu, Haofan; Zhang, Wenping; Zhang, Wenjie; Ye, Zongda Share Save Share Save Share Save Share Save Share Save Share Save Share Save Distribution of potentially toxic elements in soils and sediments in Pearl River Delta, China: Natural versus anthropogenic source discriminationWang, Jiaxin; Yuan, Jiaxin; Hou, Qingye; Yang, Zhongfang; You, Yuanhang; Yu, Tao; Ji, Junfeng; Dou, Lei; Ha, Xianrui; Sheng, Weikang; Liu, Xu Share Save 
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