Study on prediction and regulation of water resources carrying capacity under changing environment

Climate change and human activities are intensifying the water cycle processes, exerting a certain degree of impact on the spatiotemporal distribution characteristics of water resources, thereby increasing the uncertainty in water resource development and utilization. This has led to situations where in some regions, the degree of water resources development and utilization has approached or even exceeded the carrying capacity of water resources, creating a mismatch between the spatial layout of water resource carrying capacity and the economic and social structure. This study focuses on the Yishusi River Basin, constructing a system dynamics coupled orthogonal experimental optimization method for predicting and regulating water resources carrying capacity. By setting various scenarios combining climate change and human activities, and applying the constructed model for predicting and regulating water resources carrying capacity under climate change, the study conducted analysis on predicting and regulating water resources carrying capacity during different future development periods in the region. The results include predictions of water resources carrying capacity and regulatory measures for this basin. The results indicate that: (1) Under different scenarios, the natural runoff in the Yishusi River Basin is expected to increase in the future. (2) By 2030, 2035, and 2050, under current water supply conditions, the water quantity and quality in the Yishusi River Basin will be all in a state of overload for each climate scenario.(3) By selecting regulatory indicators and formulating control measures, the predicted results for different scenarios in the Yishusi River basin were regulated. After regulation, all scenarios are in a critically overloaded state.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-02-05
DOI
https://doi.org/10.1038/s41598-026-38325-w
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

Study on prediction and regulation of water resources carrying capacity under changing environment

Junfei Yang, Deng Zhao, En Hua Li, Bing Yan et al.
Scientific Reports
Water Resources and Sustainability
article

Study on prediction and regulation of water resources carrying capacity under changing environment

Junfei Yang, Deng Zhao, En Hua Li, Bing Yan, LI Chun-hua
article en

Abstract

Climate change and human activities are intensifying the water cycle processes, exerting a certain degree of impact on the spatiotemporal distribution characteristics of water resources, thereby increasing the uncertainty in water resource development and utilization. This has led to situations where in some regions, the degree of water resources development and utilization has approached or even exceeded the carrying capacity of water resources, creating a mismatch between the spatial layout of water resource carrying capacity and the economic and social structure. This study focuses on the Yishusi River Basin, constructing a system dynamics coupled orthogonal experimental optimization method for predicting and regulating water resources carrying capacity. By setting various scenarios combining climate change and human activities, and applying the constructed model for predicting and regulating water resources carrying capacity under climate change, the study conducted analysis on predicting and regulating water resources carrying capacity during different future development periods in the region. The results include predictions of water resources carrying capacity and regulatory measures for this basin. The results indicate that: (1) Under different scenarios, the natural runoff in the Yishusi River Basin is expected to increase in the future. (2) By 2030, 2035, and 2050, under current water supply conditions, the water quantity and quality in the Yishusi River Basin will be all in a state of overload for each climate scenario.(3) By selecting regulatory indicators and formulating control measures, the predicted results for different scenarios in the Yishusi River basin were regulated. After regulation, all scenarios are in a critically overloaded state.

Scientific ReportsVol. 16(1)
Hohai University (CN), Nanjing Hydraulic Research Institute (CN), Nanjing Water Conservancy Planning & Design Institute (China) (CN), State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering (CN)
National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 68%
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.