Construction of a “Three-Waters” Evaluation Indicator System: A Meta-Analysis

The synergistic management of water resources, the water environment, and the water ecology system (“Three-waters” system) is fundamental to ensuring regional water security and advancing sustainable development. However, existing evaluation indicator systems rely on expert experience and lack quantitative screening criteria, leading to indicator overlap and insufficient representativeness, which restricts the scientificity of management decisions. The study proposes a method integrating meta-analysis with case verification to construct an indicator system. A systematic review of 60 publications (1970–2024) from the Web of Science was conducted and a random effects model was used to merge effect sizes and quantify correlations and heterogeneity between indicators and the “Three-waters” system. The results indicate that the industrial water use proportion (R = −0.77) is the main stress factor in the water resources system, the negative effect of total hardness (R = −0.91) is the most significant in the water environment system, the contribution of the benthic diversity index (R = 0.90) is the most prominent in the water ecology system and vegetation coverage (R = 0.74) exhibits a strong positive effect in the social economic system. The case verification confirms the indicator system established under this method is consistent with the actual situation. This study provides methodological support for system diagnosis, coordinated regulation, and policy formulation, promoting the transformation from single-element to systemic water management.

Authors

Institutions

Publication Details

Journal
Water
Published
2026-04-13
DOI
https://doi.org/10.3390/w18080928
Primary Topic
Water Resources and Sustainability
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Construction of a “Three-Waters” Evaluation Indicator System: A Meta-Analysis

Jiangyu Dai, Shiqiang Wu, Xiufeng Wu
Water
Water Resources and Sustainability
article

Construction of a “Three-Waters” Evaluation Indicator System: A Meta-Analysis

Jiangyu Dai, Shiqiang Wu, Xiufeng Wu
article en

Abstract

The synergistic management of water resources, the water environment, and the water ecology system (“Three-waters” system) is fundamental to ensuring regional water security and advancing sustainable development. However, existing evaluation indicator systems rely on expert experience and lack quantitative screening criteria, leading to indicator overlap and insufficient representativeness, which restricts the scientificity of management decisions. The study proposes a method integrating meta-analysis with case verification to construct an indicator system. A systematic review of 60 publications (1970–2024) from the Web of Science was conducted and a random effects model was used to merge effect sizes and quantify correlations and heterogeneity between indicators and the “Three-waters” system. The results indicate that the industrial water use proportion (R = −0.77) is the main stress factor in the water resources system, the negative effect of total hardness (R = −0.91) is the most significant in the water environment system, the contribution of the benthic diversity index (R = 0.90) is the most prominent in the water ecology system and vegetation coverage (R = 0.74) exhibits a strong positive effect in the social economic system. The case verification confirms the indicator system established under this method is consistent with the actual situation. This study provides methodological support for system diagnosis, coordinated regulation, and policy formulation, promoting the transformation from single-element to systemic water management.

WaterVol. 18(8)
Nanjing Hydraulic Research Institute (CN)
Nanjing Hydraulic Research Institute
Openalex Percentile: Top 18%
Water Resources and Sustainability
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.