Evidence map›Paper›PMID 39929885›Full record

ArticleScientific reports2025

Water resource utilization and future supply-demand scenarios in energy cities of semi-arid regions.

Dong Wang, Kai Li, Hengji Li, Yaozong Zhang, Tonglin Fu, Linchan Sun, Yun Wang, Jianxiang Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Dong WangSchool of Geography and Planning, Qingyang Tech Innovation Center of Remote Sensing On Soil and Water Conservation and Desertification Control, Longdong University, Qingyang, 745000, China. wangd2017@lzu.edu.cn.
Kai LiShandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi, 276000, China.
Hengji LiNorthwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China.
Yaozong ZhangSchool of Geography and Planning, Qingyang Tech Innovation Center of Remote Sensing On Soil and Water Conservation and Desertification Control, Longdong University, Qingyang, 745000, China.
Tonglin FuSchool of Mathematics and Information Engineering, Longdong University, Qingyang, 745000, China.
Linchan SunSchool of Geography and Planning, Qingyang Tech Innovation Center of Remote Sensing On Soil and Water Conservation and Desertification Control, Longdong University, Qingyang, 745000, China.
Yun WangSchool of Geography and Planning, Qingyang Tech Innovation Center of Remote Sensing On Soil and Water Conservation and Desertification Control, Longdong University, Qingyang, 745000, China.
Jianxiang ZhangSchool of Geography and Planning, Qingyang Tech Innovation Center of Remote Sensing On Soil and Water Conservation and Desertification Control, Longdong University, Qingyang, 745000, China.

Funding

Gansu Provincial University Innovation Fund 2021B-274Natural Science Foundation of Gansu Province 22JR4ZM104Natural Science Foundation of Gansu Province 23JRRM734Science and Technology Plan Project of Qingyang QY2021A-S058Science and Technology Plan Project of Qingyang QY-STK-2023B-109Youth Science and Technology Foundation of Gansu Province 21JR7RM198
6 · The paper itself

Abstract

Analyzing the characteristics of water resource utilization and forecasting future supply-demand dynamics are of great practical significance for water resource planning and allocation. This study focuses on the water supply-demand challenges in energy cities located in semi-arid regions, using Qingyang City as a case study. The future water demand of various sectors was simulated and projected, and the supply-demand balance under different socioeconomic and climate scenarios was analyzed using the Shared Socioeconomic Pathways framework combined with climate model data. This research addresses the gap in the existing literature concerning the analysis of water supply-demand structures in energy cities under climate change and provides scientific support for regional sustainable development. The results show that: (1) Over the past 20 years, water supply and utilization in Qingyang City have exhibited significant growth trends, with agricultural water use continuously increasing, industrial water use fluctuating, domestic water use remaining stable, and ecological water use growing significantly; (2) From 2024 to 2035, the water demand of various sectors is projected to change substantially, with agricultural and ecological water use being highly sensitive to scenario configurations; (3) Under high economic growth scenarios, Qingyang City is likely to face severe water shortages.

Indexed as

Energy citiesSemi-arid regionsSimulation forecastSocioeconomic-climate scenariosUtilization characteristicsWater resource

Identifiers

PMID39929885
PMCPMC11811013

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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.