Enhancing pollution management in watersheds: A critical review of total maximum daily load (TMDL) implementation-Reference-Cited by-同舟云学术

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Enhancing pollution management in watersheds: A critical review of total maximum daily load (TMDL) implementation

Published:2025-01 Issue: Volume:264 Page:120394
ISSN:0013-9351
Container-title:Environmental Research
language:en
Short-container-title:Environmental Research

Author:

Wang Hantao,Guan Yijia,Hu Min^ORCID,Hou Zhiqiang,Ping Yang,Zhang Zhenzhou,Zhang Qingtao,Shang Fangze,Lin Kairong^ORCID,Feng Cuijie^ORCID

Publisher

Elsevier BV

Reference151 articles.

1. Predicting in-stream water quality constituents at the watershed scale using machine learning;Adedeji;J. Contam. Hydrol.,2022

2. Agricultural watershed conservation and optimization using a participatory hydrological approach;Aggarwal;Environ. Sci. Pollut. Control Ser.,2024

3. Risk-based decision making to evaluate pollutant reduction scenarios;Ahmadisharaf;Sci. Total Environ.,2020

4. Calibration and validation of watershed models and advances in uncertainty analysis in TMDL studies;Ahmadisharaf;J. Hydrol. Eng.,2019

5. Dissolved oxygen concentration predictions for running waters with different land use land cover using a quantile regression forest machine learning technique;Ahmed;J. Hydrol.,2021

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrating AHP and GIS for Sustainable Surface Water Planning: Identifying Vulnerability to Agricultural Diffuse Pollution in the Guachal River Watershed;Sustainability;2025-05-02

2. Drivers and Management of Nutrient Overload in Dams: Insights from Roodeplaat Dam, South Africa;Hydrology;2025-03-13

3. Analysis of the Pollution Load Contribution Rate of Inflowing Tributaries for the Sustainable Management of the Seomjin River (Seombon D);Sustainability;2025-01-08

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