Economic Model for Optimal Allocation of Water Resources with an Emphasis on Risk and Consistency Index in the Sistan Region: The Application of Interval Two-Stage Stochastic Programming Method
The issue of water resource management in the Sistan region has been complicated by water fluctuations of the Hirmand River and the competition of the drinking, agricultural, and environmental sectors on water use. The present study applies the economic model including interval two-stage stochastic...
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Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Iranian Association for Energy Economics
2022-08-01
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Series: | Environmental Energy and Economic Research |
Subjects: | |
Online Access: | https://www.eeer.ir/article_147594_68dbeb436591438330fde128ee28d7e9.pdf |
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Summary: | The issue of water resource management in the Sistan region has been complicated by water fluctuations of the Hirmand River and the competition of the drinking, agricultural, and environmental sectors on water use. The present study applies the economic model including interval two-stage stochastic programming (TSP) method under uncertainty conditions to study agricultural water allocation and the assessment of risk and consistency including stochastic simulation of the existing water, an optimization model of agricultural water, and the risk assessment of the water shortage under three scenarios of high, average, and low inflow levels in three regions of Zahak, Zabol, and Miankangi as the three main agricultural areas in Sistan for the time horizon of 2019-2020. The results show that there will be no water shortage for agricultural users in the Zahak region at the high and average inflow levels. But, this area will need 122 million m3 more water at the low inflow level. Also, the water shortage in the Zabol area will be inadequate by 149.69 million m3 at the average inflow level and by 185.65 million m3 at the low inflow level. Also Miankangi County no water will be allocated to this sector. The risk assessment of agricultural water shortage by the results of optimization will help decision-makers better understand the risk of water shortage under different scenarios. It is found that the Zabol region will have higher risk of agricultural water shortage than the Zahak region, so efficient risk management should be initiated from this region. |
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ISSN: | 2538-4988 2676-4997 |