An agent-based socio-hydrological modeling to identify the feedbacks between agricultural irrigation and ecological water conveyance tradeoffs in Hotan River basin

Hotan River basin in Northwest China The conflict between agricultural irrigation and ecological water conveyance is particularly critical in arid inland river basins. Water resource systems involve multiple stakeholders and sectors, complicating the identification of dynamic feedback between agriculture and ecology. This study presents an agent-based socio-hydrological modeling (ABSHM) framework to address these interactions. Feedback is quantified using dynamic state variable of oasis decision-making sensitivity in the Hotan River basin. When this sensitivity ranges from 0.03 to 0.06, water managers prioritize agricultural irrigation, increasing its usage from 8 to 47 million m 3 at the expense of ecological water. Conversely, when sensitivity is from 0.015 to 0.03, ecological health requires increasing ecological water use from 27 to 66 million m³ by reducing irrigation. The ABSHM framework effectively captures these dynamic feedback processes, supporting basin water resources management and decision-making. The uniqueness of the ABSHM framework lies in its ability to capture the impact of individual decision-making behaviors on the overall water resource system. This offers new perspectives and approaches for addressing current and future water resource management challenges. • An agent-based socio-hydrological modeling framework is proposed. • The framework illustrates how to identify feedbacks between the two elements. • Oasis decision sensitivity is used to present dynamic state of oasis security consciousness. • Optimal allocation scheme is determined by maximizing comprehensive benefits.

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Publication Details

Journal
Journal of Hydrology Regional Studies
Published
2024-11-08
DOI
https://doi.org/10.1016/j.ejrh.2024.102028
Citations
4
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.81
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article

An agent-based socio-hydrological modeling to identify the feedbacks between agricultural irrigation and ecological water conveyance tradeoffs in Hotan River basin

Shunke Wang, Huaiwei Sun, Xinxin Li, Xin Liu et al.
4 citations
Journal of Hydrology Regional Studies
Hydrology and Watershed Management Studies
0.81
article

An agent-based socio-hydrological modeling to identify the feedbacks between agricultural irrigation and ecological water conveyance tradeoffs in Hotan River basin

Shunke Wang, Huaiwei Sun, Xinxin Li, Xin Liu, Jingjing Chang, Jie Xue
article en
4 citations

Abstract

Hotan River basin in Northwest China The conflict between agricultural irrigation and ecological water conveyance is particularly critical in arid inland river basins. Water resource systems involve multiple stakeholders and sectors, complicating the identification of dynamic feedback between agriculture and ecology. This study presents an agent-based socio-hydrological modeling (ABSHM) framework to address these interactions. Feedback is quantified using dynamic state variable of oasis decision-making sensitivity in the Hotan River basin. When this sensitivity ranges from 0.03 to 0.06, water managers prioritize agricultural irrigation, increasing its usage from 8 to 47 million m 3 at the expense of ecological water. Conversely, when sensitivity is from 0.015 to 0.03, ecological health requires increasing ecological water use from 27 to 66 million m³ by reducing irrigation. The ABSHM framework effectively captures these dynamic feedback processes, supporting basin water resources management and decision-making. The uniqueness of the ABSHM framework lies in its ability to capture the impact of individual decision-making behaviors on the overall water resource system. This offers new perspectives and approaches for addressing current and future water resource management challenges. • An agent-based socio-hydrological modeling framework is proposed. • The framework illustrates how to identify feedbacks between the two elements. • Oasis decision sensitivity is used to present dynamic state of oasis security consciousness. • Optimal allocation scheme is determined by maximizing comprehensive benefits.

Journal of Hydrology Regional StudiesVol. 56
Xinjiang Normal University (CN), Chinese Academy of Sciences (CN), Xinjiang Institute of Ecology and Geography (CN), University of Chinese Academy of Sciences (CN), Bristol-Myers Squibb (Switzerland) (CH), Huazhong University of Science and Technology (CN)
Zero hunger
Openalex Percentile: Top 28%
Hydrology and Watershed Management Studies
0.81
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