Evaluation of the water quality monitoring network layout based on driving-pressure-state-response framework and entropy weight TOPSIS model: A case study of Liao River, China-Reference-Cited by-同舟云学术

Evaluation of the water quality monitoring network layout based on driving-pressure-state-response framework and entropy weight TOPSIS model: A case study of Liao River, China

Published:2024-06 Issue: Volume:361 Page:121267
ISSN:0301-4797
Container-title:Journal of Environmental Management
language:en
Short-container-title:Journal of Environmental Management

Author:

Li Jiaqi,Yang Nian,Shen Zhenyao^ORCID

Funder

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference52 articles.

1. A cost-effective and efficient framework to determine water quality monitoring network locations;Alilou;Sci. Total Environ.,2018

2. A novel approach for selecting sampling points locations to river water quality monitoring in data-scarce regions;Alilou;J. Hydrol.,2019

3. Large area hydrologic modeling and assessment part I: model development;Arnold;JAWRA J. Am. Water Resour. Assoc.,1998

4. An integrated approach for prioritization of river water quality sampling points using modified Sanders, analytic network process, and hydrodynamic modeling;Asadi;Environ. Monit. Assess.,2021

5. Optimization of water quality monitoring programs by data mining;Barcellos;Water Res.,2022

Cited by 2 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. Assessment of water quality and identification of priority areas for intervention in Guanabara Bay basin, Rio de Janeiro, Brazil, using nonparametric and multivariate statistical methods;Environmental Monitoring and Assessment;2024-09-10

2. Research and Practice of Digital Economy Helping Rural Industry Revitalization in the Information Age;Applied Mathematics and Nonlinear Sciences;2024-01-01