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
相关论文
共 50 条
  • [1] Research progress on lyophilization for pretreatment of emerging organic contaminants in environmental samples
    Zhang Yiqing
    Guo Shanshan
    Sun Qian
    CHINESE JOURNAL OF CHROMATOGRAPHY, 2021, 39 (08) : 827 - 834
  • [2] Overview of the Application of Machine Learning for Identification and Environmental Risk Assessment of Microplastics
    Bai R.-H.
    Fan R.-Q.
    Liu Q.
    Liu Q.
    Yan C.-R.
    Cui J.-X.
    He W.-Q.
    Huanjing Kexue/Environmental Science, 2024, 45 (02): : 1185 - 1195
  • [3] Promoting Environmental Risk Assessment and Control of Emerging Contaminants in China
    Wang, Bin
    Sui, Qian
    Liu, Huijuan
    Yu, Gang
    Qu, Jiuhui
    ENGINEERING, 2024, 37 : 13 - 17
  • [4] New Progress in Research and Application of Machine Learning
    SUN Guanglu
    ChineseJournalofElectronics, 2020, 29 (06) : 991 - 991
  • [5] New Progress in Research and Application of Machine Learning
    Sun, Guanglu
    CHINESE JOURNAL OF ELECTRONICS, 2020, 29 (06) : 991 - 991
  • [6] Research progress on screening of emerging priority controlled contaminants
    Gao, Ge
    Zhang, Wen-Qing
    Wei, Xin-Ni
    Liu, Peng
    Zhao, Long
    Zhongguo Huanjing Kexue/China Environmental Science, 2024, 44 (11): : 6472 - 6483
  • [7] Identification of contaminants of emerging concern with potential environmental risk in Spanish continental shelf sediments
    Leon, Victor M.
    Vinas, Lucia
    Concha-Grana, Estefania
    Fernandez-Gonzalez, Veronica
    Salgueiro-Gonzalez, Noelia
    Moscoso-Perez, Carmen
    Muniategui-Lorenzo, Soledad
    Campillo, Juan A.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 742 (742)
  • [8] Trends and challenges in risk assessment of environmental contaminants
    Ragas, A. M. J.
    JOURNAL OF INTEGRATIVE ENVIRONMENTAL SCIENCES, 2011, 8 (03) : 195 - 218
  • [9] Identification and Characterization of Challenges in the Future of Manufacturing for the Application of Machine Learning
    Schuh, Gunther
    Scholz, Paul
    Nadicksbernd, Maximilian
    2020 61ST INTERNATIONAL SCIENTIFIC CONFERENCE ON INFORMATION TECHNOLOGY AND MANAGEMENT SCIENCE OF RIGA TECHNICAL UNIVERSITY (ITMS), 2020,
  • [10] Research Progress on the Application of Machine Learning in Predicting Food Flavor
    Cai W.
    Feng T.
    Song S.
    Yao L.
    Sun M.
    Wang H.
    Yu C.
    Liu Q.
    Shipin Kexue/Food Science, 2024, 45 (12): : 11 - 21
12345