Application of machine learning in environmental risk identification and control of emerging contaminants: Research progress and challenges

被引：0
|
作者：
Hu, XianGang [1 ]
Wang, ZhangJia [1 ]
Deng, Peng [1 ]
Yu, FuBo [1 ]
Mu, Li [2 ]
Wang, Sai [3 ]
Zhou, QiXing [1 ]
机构：
[1] Key Laboratory of Pollution Processes and Environmental Criteria (Ministry of Education), College of Environmental Science and Engineering, Nankai University, Tianjin,300350, China
[2] Key Laboratory for Environmental Factors Control of Agro-Product Quality Safety (Ministry of Agriculture and Rural Affairs), Institute of Agro-Environmental Protection, Ministry of Agriculture and Rural Affairs, Tianjin,300191, China
[3] State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou,570228, China
来源：
Zhongguo Kexue Jishu Kexue/Scientia Sinica Technologica | 2024年 / 54卷 / 10期
关键词：
Complex machines - Emerging contaminant - Endocrine disrupting chemicals - Environmental risks - Interpretability - Machine learning models - Machine-learning - Microplastics - Risk Identification - Risks controls;
D O I：
10.1360/SST-2024-0037
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1838 / 1853
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