Comprehensive assessment of the water environment carrying capacity based on machine learning-Reference-Cited by-同舟云学术

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Comprehensive assessment of the water environment carrying capacity based on machine learning

Published:2024-09 Issue: Volume:472 Page:143465
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Zhang Hua^ORCID,Li Huaming,Xu Xiangqin,Lv Xubo,Peng Jiayu,Weng Qiaoran,Wang Wenhui,Lei Kun

Publisher

Elsevier BV

Reference49 articles.

1. Magnitude and influence of atmospheric phosphorus deposition on the southern Baltic Sea coast over 23 years: implications for coastal waters;Berthold;Environ. Sci. Eur.,2019

2. Machine Learning Recommendations for Policymakers;Carr,2019

3. Comparative analysis of surface water quality prediction performance and identification of key water parameters using different machine learning models based on big data;Chen;Water Res.,2020

4. Comprehensive assessment of the water environment carrying capacity based on the spatial system dynamics model, a case study of Yongding River Basin in North China;Dai;J. Clean. Prod.,2022

5. The judicial demand for explainable artificial intelligence;Deeks;Columbia Law Rev.,2019

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