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Potential evaluation of different intercropping remediation modes based on remediation efficiency and economic benefits - a case study of arsenic-contaminated soil 期刊论文
INTERNATIONAL JOURNAL OF PHYTOREMEDIATION, 2021, 页码: 9
Authors:  Yan, Yunxian;  Yang, Jun;  Guo, Yue;  Yang, Junxing;  Wan, Xiaoming;  Zhao, Chen;  Guo, Junmei;  Chen, Tongbin
Favorite  |  View/Download:3/0  |  Submit date:2021/07/09
Intercropping remediation  soil contamination  hyperaccumulator  remediation efficiency  economic benefits  
Effective strategy to recycle arsenic-accumulated biomass of Pteris vittata with high benefits 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 卷号: 756, 页码: 11
Authors:  Cai, Wen;  Chen, Tongbin;  Lei, Mei;  Wan, Xiaoming
Favorite  |  View/Download:29/0  |  Submit date:2021/03/15
Pteris vittata  Phytoremediation waste  Recycle  Bio-active compounds  Benefits  
Chemical composition of soil-associated ash from the southern California Thomas Fire and its potential inhalation risks to farmworkers 期刊论文
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 卷号: 278, 页码: 10
Authors:  Wan, Xiaoming;  Li, Chongyang;  Parikh, Sanjai J.
Favorite  |  View/Download:6/0  |  Submit date:2021/03/15
Arsenic  Chromium  Particle emission factor  Risk assessment  Trace elements  Wildfire  
Three-year field experiment on the risk reduction, environmental merit, and cost assessment of four in situ remediation technologies for metal(loid)-contaminated agricultural soil 期刊论文
ENVIRONMENTAL POLLUTION, 2020, 卷号: 266, 页码: 11
Authors:  Wan, Xiaoming;  Lei, Mei;  Yang, Jun;  Chen, Tongbin
Favorite  |  View/Download:32/0  |  Submit date:2021/03/16
Arsenic  Cadmium  Immobilization  Lead  Phytoextraction  Turnover and attenuation  
Simultaneous removal of arsenic, cadmium, and lead from soil by iron-modified magnetic biochar 期刊论文
ENVIRONMENTAL POLLUTION, 2020, 卷号: 261, 页码: 10
Authors:  Wan, Xiaoming;  Li, Chongyang;  Parikh, Sanjai J.
Favorite  |  View/Download:3/0  |  Submit date:2021/03/23
Arsenic  Biochar  Cadmium  Lead  Magnetite  Sawdust  
Discriminative algorithm approach to forecast Cd threshold exceedance probability for rice grain based on soil characteristics 期刊论文
ENVIRONMENTAL POLLUTION, 2020, 卷号: 261, 页码: 12
Authors:  Yang, Jun;  Zhao, Chen;  Yang, Junxing;  Wang, Jingyun;  Li, Zhitao;  Wan, Xiaoming;  Guo, Guanghui;  Lei, Mei;  Chen, Tongbin
Favorite  |  View/Download:2/0  |  Submit date:2021/03/23
Probabilistic forecasting model  Discriminative algorithm  Cadmium  Rice grain  Soil  
Bioaccessibility of metals/metalloids in willow catkins collected in urban parks of Beijing and their health risks to human beings 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 卷号: 717, 页码: 9
Authors:  Wan, Xiaoming;  Gu, Gaoquan;  Lei, Mei;  Zeng, Weibin
Favorite  |  View/Download:16/0  |  Submit date:2020/05/19
Lung bioaccessibility  Catkin  Dust  Fine particle  Metal/metalloid  
Identifying factors that influence soil heavy metals by using categorical regression analysis: A case study in Beijing, China 期刊论文
FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING, 2020, 卷号: 14, 期号: 3, 页码: 14
Authors:  Yang, Jun;  Wang, Jingyun;  Qiao, Pengwei;  Zheng, Yuanming;  Yang, Junxing;  Chen, Tongbin;  Lei, Mei;  Wan, Xiaoming;  Zhou, Xiaoyong
Favorite  |  View/Download:12/0  |  Submit date:2020/05/19
Soil  Heavy metal  Influencing factor  Categorical regression  Identification method  
Review on remediation technologies for arseniccontaminated soil 期刊论文
环境科学与工程前沿(英文), 2020, 卷号: 14.0, 期号: 002, 页码: 41
Authors:  Xiaoming Wan;  Mei Lei;  Tongbin Chen
Favorite  |  View/Download:24/0  |  Submit date:2021/03/16
Arsenic,field-scale  Immobilization  Phytoextraction  Soil  washing  
Identifying factors that influence soil heavy metals by using categorical regression analysis:A case study in Beijing,China 期刊论文
环境科学与工程前沿(英文), 2020, 卷号: 14.0, 期号: 003, 页码: 1
Authors:  Jun Yang;  Jingyun Wang;  Pengwei Qiao;  Yuanming Zheng;  Junxing Yang;  Tongbin Chen;  Mei Lei;  Xiaoming Wan;  Xiaoyong Zhou
Favorite  |  View/Download:4/0  |  Submit date:2021/03/16
Soil  Heavy  metal  Influencing  factor  Categorical  regression  Identification  method