中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Quantifying the impact of factors on soil available arsenic using machine learning 期刊论文  OAI收割
ENVIRONMENTAL POLLUTION, 2024, 卷号: 359, 页码: 124572
作者:  
Han, Zhaoyang;  Yang, Jun;  Yan, Yunxian;  Zhao, Chen;  Wan, Xiaoming
  |  收藏  |  浏览/下载:11/0  |  提交时间:2024/09/19
Selecting appropriate forms of nitrogen fertilizer to enhance soil arsenic removal by Pteris vittata: A new approach in phytoremediation SCI/SSCI论文  OAI收割
2007
Liao X. Y.; Chen T. B.; Xiao X. Y.; Xie H.; Yan X. L.; Zhai L. M.; Wu B.
收藏  |  浏览/下载:25/0  |  提交时间:2012/06/08
Selecting appropriate forms of nitrogen fertilizer to enhance soil arsenic removal by Pteris vittata: A new approach in phytoremediation 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF PHYTOREMEDIATION, 2007, 卷号: 9, 期号: 4, 页码: 269-280
作者:  
Yan, Xiu-Lan;  Liao, Xiao-Yong
收藏  |  浏览/下载:366/75  |  提交时间:2011/06/10