Evaluating heavy metals-related risk in staple crops and making financing strategy for corresponding soil remediation across China

China's staple crops face heavy metal (HMs) contamination, a widespread issue lacking a national assessment. We used machine learning (ML) to assess risks of 8 HMs in rice, wheat, and maize, and estimated a financing strategy for soil remediation via linear optimization and computable general e...

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Veröffentlicht in:Journal of hazardous materials 2024-12, Vol.480, p.136135, Article 136135
Hauptverfasser: Zhou, Baiqin, Wang, Fangjun, Li, Huiping, Zhao, Yuantian, Yang, Ruichun, Huang, Hui, Wang, Yujun, Xiao, Zijie, Tian, Kun, Pang, Weihai
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Sprache:eng
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