Enhancing Disparity in Water Distribution within Irrigation Systems Aimed at Improving the Conflict Domain under Alternative Perspectives: A Reliable Multi-Objective Framework

In general, decision makers in irrigation systems prioritize the cultivation of diverse crops to ensure sufficient food supply and maximize economic profit, while overlooking ecological resilience. This study proposes a novel reliable multi-objective framework designed to minimize disparities in water distribution between multi-crops, thereby addressing conflicts related to irrigation timing and distribution space. To assess the feasibility of the proposed model, a reliability evaluation technique is employed to examine the conflict ratio of the water distribution policy corresponding to constraints concerning the available water and the water allocated to various crops (C-value). Next, to evaluate the reliable optimal multi-objective model, we examined the disparity of water distribution among four crops—fodder, watermelon, wheat, and grape—cultivated in three sub-areas of the Zayandehroud watershed, a watershed experiencing water shortage in the center of the Iranian plateau. Subsequently, given the overlooking of water conservation policies, this study investigates the impact of alternative perspectives on the disparity of water distribution and the conflict domain. The final results indicate that grapes exhibit lower sensitivity to water consumption, whereas watermelon is the most sensitive. In terms of the conflict domain, the city of Lenjanat recorded the least sensitivity.

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Publication Details

Journal
Agriculture
Published
2024-08-08
DOI
https://doi.org/10.3390/agriculture14081316
Citations
1
Primary Topic
Water resources management and optimization
Type
article
Field-Weighted Citation Impact
0.34

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article

Enhancing Disparity in Water Distribution within Irrigation Systems Aimed at Improving the Conflict Domain under Alternative Perspectives: A Reliable Multi-Objective Framework

Mahdi Moudi
1 citations
Agriculture
Water resources management and optimization
0.34
article

Enhancing Disparity in Water Distribution within Irrigation Systems Aimed at Improving the Conflict Domain under Alternative Perspectives: A Reliable Multi-Objective Framework

Mahdi Moudi
article en
1 citations

Abstract

In general, decision makers in irrigation systems prioritize the cultivation of diverse crops to ensure sufficient food supply and maximize economic profit, while overlooking ecological resilience. This study proposes a novel reliable multi-objective framework designed to minimize disparities in water distribution between multi-crops, thereby addressing conflicts related to irrigation timing and distribution space. To assess the feasibility of the proposed model, a reliability evaluation technique is employed to examine the conflict ratio of the water distribution policy corresponding to constraints concerning the available water and the water allocated to various crops (C-value). Next, to evaluate the reliable optimal multi-objective model, we examined the disparity of water distribution among four crops—fodder, watermelon, wheat, and grape—cultivated in three sub-areas of the Zayandehroud watershed, a watershed experiencing water shortage in the center of the Iranian plateau. Subsequently, given the overlooking of water conservation policies, this study investigates the impact of alternative perspectives on the disparity of water distribution and the conflict domain. The final results indicate that grapes exhibit lower sensitivity to water consumption, whereas watermelon is the most sensitive. In terms of the conflict domain, the city of Lenjanat recorded the least sensitivity.

AgricultureVol. 14(8)
Chengdu University of Information Technology (CN)
Chengdu University of Information Technology, Chengdu University
Openalex Percentile: Top 43%
Water resources management and optimization
0.34
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Enhancing Disparity in Water Distribution within Irrigation Systems Aimed at Improving the Conflict Domain under Alternative Perspectives: A Reliable Multi-Objective Framework — Mahdi Moudi · Agriculture (2024) | TGRS Research Map | TGRS