Water transfer as a solution to water shortage: A fix that can Backfire

Gohari, Alireza; Eslamian, Saeid; Mirchi, Ali; Abedi-Koupaei, Jahangir; Bavani, Alireza Massah; Madani, Kaveh

doi:10.1016/j.jhydrol.2013.03.021

Cited by 298 publications

(177 citation statements)

References 61 publications

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“…The SFDs are developed to illustrate accumulations and depletions in response to flows within the system. Zayandeh-Rud River Watershed Management and Sustainability Model 2.0 (ZRW-MSM 2.0) (Gohari et al 2013b), an extension to ZRW-MSM (Madani and Mariño 2009), was used to evaluate climate change adaptation strategies. Vensim (Ventana Systems 2010), an object-oriented simulation environment was used to build and run the SD model, which comprises hydrological, socioeconomic, and agricultural sub-systems.…”

Section: System Dynamics Modelmentioning

confidence: 99%

“…Continuous watershed development and population growth due to in-migration will increase water consumption. High levels of residents' utility and water consumption at the basin scale will create a perception of development potential, which promotes watershed development (reinforcing loop) (Gohari et al 2013b). However, unless effective climate change adaptation strategies are adopted, the water resources availability in the basin will significantly decline, in turn, increasing the water stress and conflict over limited resources with most shortages occurring in the agricultural and environmental sectors.…”

Section: Biophysical Limits To Watershed Developmentmentioning

confidence: 99%

“…The Zayandeh-Rud River basin has frequently faced water shortage during the past 60 years as a result of adopting policies that relaxed the biophysical limits (e.g., water availability) to socioeconomic growth (Madani and Mariño 2009;Mirchi et al 2012;Gohari et al 2013b). The unrestricted watershed development is expected to encounter a balancing process which is activated and catalyzed by climate change.…”

Section: Biophysical Limits To Watershed Developmentmentioning

confidence: 99%

See 2 more Smart Citations

System Dynamics Evaluation of Climate Change Adaptation Strategies for Water Resources Management in Central Iran

Gohari

Mirchi

Madani

2017

Water Resour Manage

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106

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The Zayandeh-Rud River basin, Iran, is projected to face spatiotemporally heterogeneous temperature increase and precipitation reduction that will decrease water supply by mid-century. With projected increase (0.70-1.03°C) in spring temperature and reduction (6-55%) in winter precipitation, the upper Zayandeh-Rud sub-basin, the main source of renewable water supply, will likely become warmer and drier. In the lower sub-basin, 1.1-1.5°C increase in temperature and 11-31% decrease in annual precipitation are likely. A system dynamics model was used to analyze adaptation strategies taking into account feedbacks between water resources development and biophysical and socioeconomic sub-systems. Results suggest that infrastructural improvements, rigorous water demand management (e.g., replacing high water demand crops such as rice, corn, and alfalfa), and ecosystem-based regulatory prioritization, complemented by supply augmentation can temporarily alleviate water stress in a basin that is essentially governed by the Limits to Growth archetype.

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Section: System Dynamics Modelmentioning

confidence: 99%

Section: Biophysical Limits To Watershed Developmentmentioning

confidence: 99%

Section: Biophysical Limits To Watershed Developmentmentioning

confidence: 99%

See 1 more Smart Citation

System Dynamics Evaluation of Climate Change Adaptation Strategies for Water Resources Management in Central Iran

Gohari

Mirchi

Madani

2017

Water Resour Manage

Self Cite

106

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“…The redistribution of saved water from agriculture to industry or service industry will be a huge augmenter in most developing countries [46]. On paper, agricultural water saving potential is defined as the Yellow River water saving amount adopting lake water to irrigate for the total benefit of agriculture.…”

Section: Analysis Of Agriculture Water Saving Potential With Ifssop Mmentioning

confidence: 99%

Optimal Allocation Method of Irrigation Water from River and Lake by Considering the Field Water Cycle Process

Huo

2017

Water

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At present, the shortage of water resources has become a serious constraint to the further development of social economy. The optimal allocation of multi-water resources is valuable for agricultural water management in arid and semi-arid regions. However, traditional deterministic programming does not solve the complex water resources allocation in irrigation systems. Furthermore, previous allocation methods of irrigation water seldom considered the water cycle process, especially for multi-sources of irrigation. In this study, we develop an inexact fuzzy stochastic simulation-optimization programming (IFSSOP) model for the irrigation water optimal allocation of two water sources. The model combines the crop water model and the field water cycle model with an uncertainty optimization model, which considers the contribution of groundwater to crop water consumption. As a case study, the developed model is used in an arid area with two irrigation water sources: a river and a lake. Accordingly, the total optimal allocation irrigation water amounts of river and lake water under different violation probabilities in various hydrological years were obtained. By comparing the IFSSOP model with the IFSSOP model without considering the contribution of shallow groundwater (IFSSOP-NG model), it can be shown that the system benefits of the developed model are higher. With the lake water source from flood water, the region can save 30-34% of the river water, maintaining the original crop water deficit irrigation ratio. Consequently, application of the IFSSOP model in irrigation scheduling will provide effective water allocation patterns to save more water in an arid region with shallow groundwater.

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“…The study area is Najafabad Plain, a part of the Zayandeh-Rud River Basin (read more about this basin in Safavi et al (2010); Safavi and Esmikhani (2013) and Gohari et al (2013) and (2014)) located in west-central Iran (Fig. 2).…”

Section: Case Study Of Conjunctive Surface and Groundwater Use Managementioning

confidence: 99%

f-MOPSO: An alternative multi-objective PSO algorithm for conjunctive water use management

Rezaei

Safavi

Mirchi

et al. 2017

Journal of Hydro-environment Research

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In recent years, evolutionary techniques have been widely used to search for the global optimum of combinatorial non-linear non-convex problems. In this paper, we present a new algorithm, named fuzzy Multi-Objective Particle Swarm Optimization (f-MOPSO) to improve conjunctive surface water and groundwater management. The f-MOPSO algorithm is simple in concept, easy to implement, and computationally efficient. It is based on the role of weighting method to define partial performance of each point (solution) in the objective space.The proposed algorithm employs a fuzzy inference system to consider all the partial 2 performances for each point when optimizing the objective function values. The f-MOPSO algorithm was compared with two other well-known MOPSOs through a case study of conjunctive use of surface and groundwater in Najafabad Plain in Iran considering two management models, including a typical 12-month operation period and a 10-year planning horizon. Overall, the f-MOPSO outperformed the other MOPSO algorithms with reference to performance criteria and Pareto-front analysis while nearly fully satisfying water demands with least monthly and cumulative groundwater level (GWL) variation. The proposed algorithm is capable of finding the unique optimal solution on the Pareto-front to facilitate decisions to address large-scale optimization problems.

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Water transfer as a solution to water shortage: A fix that can Backfire

Cited by 298 publications

References 61 publications

System Dynamics Evaluation of Climate Change Adaptation Strategies for Water Resources Management in Central Iran

System Dynamics Evaluation of Climate Change Adaptation Strategies for Water Resources Management in Central Iran

Optimal Allocation Method of Irrigation Water from River and Lake by Considering the Field Water Cycle Process

f-MOPSO: An alternative multi-objective PSO algorithm for conjunctive water use management

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