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Information Journal Paper

Title

An Agent-Based Model to Evaluate Water Bank's Buyback Program

Pages

  294-303

Abstract

 Leading towards sustainable water use and optimal allocation of water resources, Water Banks are efficient institutions. Water Banks facilitate the trade of surface water and groundwater and engender water security. This study develops a couple agentbased groundwater model in NetLogo platform to assess economic and hydrologic impacts of Water Bank's water Buyback Programs in the case study of Rafsanjan Plain. Results show that Buyback Programs can temporarily ameliorate the condition of the Rafsanjan Aquifer, so there is a need for taking other measures, like the cap-and-trade policy, in conjunction with Buyback Program. The drawdown of aquifer's unit hydrograph reduces from 80 to 58 cm per year owing to the Buyback Program. Moreover, the Water Bank improves the economic situation of the area as it increases the farmers' net benefit by 6 percent.

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    APA: Copy

    Aghaie, V., ALIZADEH, H., AFSHAR, A., & EHTIAT, M.. (2019). An Agent-Based Model to Evaluate Water Bank's Buyback Program. IRAN-WATER RESOURCES RESEARCH, 15(3 ), 294-303. SID. https://sid.ir/paper/100394/en

    Vancouver: Copy

    Aghaie V., ALIZADEH H., AFSHAR A., EHTIAT M.. An Agent-Based Model to Evaluate Water Bank's Buyback Program. IRAN-WATER RESOURCES RESEARCH[Internet]. 2019;15(3 ):294-303. Available from: https://sid.ir/paper/100394/en

    IEEE: Copy

    V. Aghaie, H. ALIZADEH, A. AFSHAR, and M. EHTIAT, “An Agent-Based Model to Evaluate Water Bank's Buyback Program,” IRAN-WATER RESOURCES RESEARCH, vol. 15, no. 3 , pp. 294–303, 2019, [Online]. Available: https://sid.ir/paper/100394/en

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