Evidence map›Paper›PMID 40104390›Full record

ArticleEnvironmental science and ecotechnology2025

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

Yi-Lin Zhao, Han-Jun Sun, Jie Ding, Ji-Wei Pang, Mei-Yun Lu, Nan-Qi Ren, Shan-Shan Yang

Abstract read
In one paragraph

Article in Environmental science and ecotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Yi-Lin ZhaoState Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China.
Han-Jun SunState Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China.
Jie DingState Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China.
Ji-Wei PangHarbin Corner Science & Technology Inc., Harbin, 150023, China.
Mei-Yun LuState Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China.
Nan-Qi RenState Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China.
Shan-Shan YangState Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Local conditionsManagement effectivenessPolicy quantificationWater policyYellow river basin

Identifiers

PMID40104390
PMCPMC11914810

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.