A quantitative assessment framework for water-related policies in large river basins

Effective water management in large river basins requires a comprehensive understanding of policy effectiveness and regulatory frameworks. However, quantitative assessments of water-related policies remain limited. Here, we propose a novel quantitative framework for evaluating water policies in large river basins, providing an intuitive and systematic approach for decision-makers. Using the Yellow River Basin-the second-largest river basin in China-as a case study, we constructed a database of 1271 water-related policies spanning 68 cities. We assessed the completeness of nine representative policies, identifying key gaps in water environment governance. To evaluate management effectiveness, we developed a system integrating two key subsystems: water resource utilization and water environment treatment, incorporating climatic, economic, and industrial factors. Our findings reveal that water environment governance policies were more effective than those targeting water resource utilization, though their impact was delayed by one to two years. Furthermore, a risk-based analysis pinpointed critical water management challenges in each city, offering actionable insights for policy optimization. This framework provides a robust and scalable approach for assessing the effectiveness of complex water policies in large river basins, with global applicability for improving water governance.

Authors

Institutions

Publication Details

Journal
Environmental Science and Ecotechnology
Published
2025-02-13
DOI
https://doi.org/10.1016/j.ese.2025.100537
Citations
1
Primary Topic
Water resources management and optimization
Type
article
Field-Weighted Citation Impact
1.15

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A quantitative assessment framework for water-related policies in large river basins

Han-Jun Sun, Shanshan Yang, Mei-Yun Lu, Yilin Zhao et al.
1 citations
Environmental Science and Ecotechnology
Water resources management and optimization
1.15
article

A quantitative assessment framework for water-related policies in large river basins

Han-Jun Sun, Shanshan Yang, Mei-Yun Lu, Yilin Zhao, Jie Ding, Nanqi Ren, Ji-Wei Pang
article en
1 citations

Abstract

Effective water management in large river basins requires a comprehensive understanding of policy effectiveness and regulatory frameworks. However, quantitative assessments of water-related policies remain limited. Here, we propose a novel quantitative framework for evaluating water policies in large river basins, providing an intuitive and systematic approach for decision-makers. Using the Yellow River Basin-the second-largest river basin in China-as a case study, we constructed a database of 1271 water-related policies spanning 68 cities. We assessed the completeness of nine representative policies, identifying key gaps in water environment governance. To evaluate management effectiveness, we developed a system integrating two key subsystems: water resource utilization and water environment treatment, incorporating climatic, economic, and industrial factors. Our findings reveal that water environment governance policies were more effective than those targeting water resource utilization, though their impact was delayed by one to two years. Furthermore, a risk-based analysis pinpointed critical water management challenges in each city, offering actionable insights for policy optimization. This framework provides a robust and scalable approach for assessing the effectiveness of complex water policies in large river basins, with global applicability for improving water governance.

Environmental Science and EcotechnologyVol. 24
Harbin Institute of Technology (CN), Ecological Consulting (Czechia) (CZ), Harbin Science and Technology Bureau (CN)
National Natural Science Foundation of China
Clean water and sanitation
Openalex Percentile: Top 26%
Water resources management and optimization
1.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A quantitative assessment framework for water-related policies in large river basins — Han-Jun Sun, Shanshan Yang, et al. · Environmental Science and Ecotechnology (2025) | TGRS Research Map | TGRS