The modeling framework of the coupled human and natural systems in the Yellow River Basin

• A modeling framework of the coupled human-natural systems is proposed in the YRB. • CHANS models support decision-making through scenario analyses and optimization. • The framework is flexible and guides the development of regional CHANS models. A mechanistic understanding and modeling of the coupled human and natural systems (CHANS) are frontier of geographical sciences and essential for promoting regional sustainability. Modeling regional CHANS in the Yellow River Basin (YRB) featuring high water stress, intense human interference, and a fragile ecosystem has always been a complex challenge. Here, we propose a conceptual modeling framework to capture key human-natural components and their interactions, focusing on human-water dynamics. The modeling framework encompasses five human (Population, Economy, Energy, Food, and Water Demand) and five natural sectors (Water Supply, Sediment, Land, Carbon, and Climate) that can be either fully interactive or standalone. The modeling framework, implemented using the system dynamics (SD) approach, can well reproduce the basin's historical evolution in human-natural processes and predict future dynamics under various scenarios. The flexibility, adaptability, and potential for integration with diverse methods position the framework as an instructive tool for guiding regional CHANS modeling. Our insights highlight pathways to advance regional CHANS modeling and its application to address regional sustainability challenges.

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Publication Details

Journal
Geography and sustainability
Published
2025-04-09
DOI
https://doi.org/10.1016/j.geosus.2025.100294
Citations
5
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
4.09

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article

The modeling framework of the coupled human and natural systems in the Yellow River Basin

Xutong Wu, Shuai Wang, Shan Sang, Yanxu Liu et al.
5 citations
Geography and sustainability
Hydrology and Watershed Management Studies
4.09
article

The modeling framework of the coupled human and natural systems in the Yellow River Basin

Xutong Wu, Shuai Wang, Shan Sang, Yanxu Liu, Lu Yu, Shuang Song, Xuhui Wang, Yan Li, Bojie Fu, Shuang Zong
article en
5 citations

Abstract

• A modeling framework of the coupled human-natural systems is proposed in the YRB. • CHANS models support decision-making through scenario analyses and optimization. • The framework is flexible and guides the development of regional CHANS models. A mechanistic understanding and modeling of the coupled human and natural systems (CHANS) are frontier of geographical sciences and essential for promoting regional sustainability. Modeling regional CHANS in the Yellow River Basin (YRB) featuring high water stress, intense human interference, and a fragile ecosystem has always been a complex challenge. Here, we propose a conceptual modeling framework to capture key human-natural components and their interactions, focusing on human-water dynamics. The modeling framework encompasses five human (Population, Economy, Energy, Food, and Water Demand) and five natural sectors (Water Supply, Sediment, Land, Carbon, and Climate) that can be either fully interactive or standalone. The modeling framework, implemented using the system dynamics (SD) approach, can well reproduce the basin's historical evolution in human-natural processes and predict future dynamics under various scenarios. The flexibility, adaptability, and potential for integration with diverse methods position the framework as an instructive tool for guiding regional CHANS modeling. Our insights highlight pathways to advance regional CHANS modeling and its application to address regional sustainability challenges.

Geography and sustainabilityVol. 6(4)
Chinese Academy of Sciences (CN), Peking University (CN), Beijing Normal University (CN), Research Center for Eco-Environmental Sciences (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 7%
Hydrology and Watershed Management Studies
4.09
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