Optimal Cropping Pattern for Water Resources Management in Sistan Region of Iran using Goal Programming Method

Ghaleno, Mohammad Reza Dahmardeh; Sheikh, Vahedberdi; Sadoddin, Amir; Sabouni, Mahmood Sabouhi

doi:10.18869/modares.ecopersia.4.4.1555

Cited by 2 publications

(5 citation statements)

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“…The reason for the very low agricultural area this year is that the total volume of region water inflow in this year is about 50 MCM, which is the majority of this amount, is allocated for supplying drinking water. The results obtained from the study carried out by [37] also demonstrated the significant irrigated area reduction in Sistan region with the drought scenario. Their cropping pattern results in the drought scenario show that the cultivated area would experience an 86.9% loss.…”

Section: Extreme Droughtmentioning

confidence: 73%

“…Due to the complexity of prioritizing demands over the whole Sistan region, time-varying hydrological features, lack of accurate information on water requirements, inaccuracy of some effective parameters such as water consumption and return flow, recent studies have been conducted either for short periods and have modeled only a small part of the region [33,37]. To overcome these complexities in Sistan region, a multi-objective optimization model is linked with the integrated water resources management model (WEAP) to make a coupled model [11,38].…”

Section: Study Areamentioning

confidence: 99%

“…In this regard, as shown in Table 5, the total economic profit of the region in this scenario is 2770 Million USD, which is 2261 Million USD in agricultural activity and 509 Million USD in profit form wetland services. To compare the results with those obtained in [37], we calculated the annual average agricultural profit 77.4 million USD for the non-drought and mild-drought years, and 9.7 million USD for the severe-and extreme-drought years. Dahmardeh Ghaleno et al [37] obtained 66.5 and 5.9 million USD for agriculture profits of Sistan in wet and drought years, respectively.…”

Section: Long-term Scenario Analysismentioning

confidence: 99%

“…To compare the results with those obtained in [37], we calculated the annual average agricultural profit 77.4 million USD for the non-drought and mild-drought years, and 9.7 million USD for the severe-and extreme-drought years. Dahmardeh Ghaleno et al [37] obtained 66.5 and 5.9 million USD for agriculture profits of Sistan in wet and drought years, respectively. On the other To compare the results with those obtained in [37], we calculated the annual average agricultural profit 77.4 million USD for the non-drought and mild-drought years, and 9.7 million USD for the severeand extreme-drought years.…”

Section: Long-term Scenario Analysismentioning

confidence: 99%

“…On the other To compare the results with those obtained in [37], we calculated the annual average agricultural profit 77.4 million USD for the non-drought and mild-drought years, and 9.7 million USD for the severeand extreme-drought years. Dahmardeh Ghaleno et al [37] obtained 66.5 and 5.9 million USD for agriculture profits of Sistan in wet and drought years, respectively. On the other hand, in this scenario, the damage risk of the Hamoun wetland might increase because the long-term annual average of water allocated to the Hamoun wetland is 29% of the long-term annual average of water allocated to all sectors (Figure 10a), which does not adequately meet the environmental requirements of the Hamoun wetland.…”

Section: Long-term Scenario Analysismentioning

confidence: 99%

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Sustainable Water Resources Management in an Arid Area Using a Coupled Optimization-Simulation Modeling

Farrokhzadeh

Monfared

Azizyan

et al. 2020

Water

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Severe water scarcity in recent years has magnified the economic, social, and environmental significance of water stress globally, making optimal planning in water resources necessary for sustainable socio-economic development. One of the regions that is most affected by this is the Sistan region and its Hamoun wetland, located in south-east Iran. Water policies are essential to sustain current basin ecosystem services, maintaining a balance between conflicting demands from agriculture and the protection of wetland ecosystems. In the present study, a multi-objective optimization model is linked with the Water Evaluation and Planning (WEAP) software to optimize water allocation decisions over multiple years. We formulate and parameterize a multi-objective optimization problem where the net economic benefit from agriculture and the supply of environmental requirements were maximized, to analyze the trade-off between different stakeholders. This problem is modeled and solved for the study area with detailed agricultural, socio-economic, and environmental data for 30 years and quantification of ecosystem services. By plotting Pareto sets, we investigate the trade-offs between the two conflicting objectives and evaluate a possible compromise. The results are analyzed by comparing purely economic versus multi-objective scenarios on the Pareto front. Finally, the disadvantages and advantages of these scenarios are also qualitatively described to help the decision process for water resources managers.

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Section: Extreme Droughtmentioning

confidence: 73%

Section: Study Areamentioning

confidence: 99%