Yu et al. (2026) ISEHSD: a feedback-based, integrated social-ecohydrological system dynamic model for studying river basin-level transformation

Identification

• Journal: Environmental Modelling & Software
• Year: 2026
• Date: 2026-07-04
• Authors: Lu Yu, Shuai Wang, Shuang Song, Quanliang Ye, Xutong Wu, Bojie Fu
• DOI: 10.1016/j.envsoft.2026.107103

Research Groups

• State Key Laboratory of Earth Surface Processes and Disaster Risk Reduction, Faculty of Geographical Science, Beijing Normal University, China
• Department of Co-evolution of Land Use and Urbanisation, Max Planck Institute of Geoanthropology, Germany
• International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
• State Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, China

Short Summary

This paper introduces the Integrated Social-Ecohydrological System Dynamics (ISEHSD) model, a transferable framework designed to assess sustainability within river basin boundaries by coupling climate dynamics and human interventions. The model is applied to the Yellow River Basin, demonstrating its efficacy in capturing complex interactions.

Objective

• Investigate the feasibility of an integrated social-ecohydrological system dynamic model for river basin-level transformation analysis

Study Configuration

• Spatial Scale: River basin scale (Yellow River Basin)
• Temporal Scale: Long-term perspective (2050 and 2100)

Methodology and Data

• Models used: ISEHSD, a feedback-based integrated social-ecohydrological system dynamic model
• Data sources: Satellite data, observation data, reanalysis data

Main Results

• The ISEHSD model effectively captures complex interactions within river basins by explicitly coupling climate dynamics and human interventions.
• Global sensitivity analysis and uncertainty quantification identify key policy levers for sustainable management.

Contributions

• Original value of the article with respect to existing literature: ISEHSD provides a scalable and interpretable tool for stakeholder dialogue and sustainable management at the global river basin scale.

Funding

• This research was funded by the National Natural Science Foundation of China (Grant No. 42130311)

Citation

@article{Yu2026ISEHSD,
  author = {Yu, Lu and Wang, Shuai and Song, Shuang and Ye, Quanliang and Wu, Xutong and Fu, Bojie},
  title = {ISEHSD: a feedback-based, integrated social-ecohydrological system dynamic model for studying river basin-level transformation},
  journal = {Environmental Modelling & Software},
  year = {2026},
  doi = {10.1016/j.envsoft.2026.107103},
  url = {https://doi.org/10.1016/j.envsoft.2026.107103}
}