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Agricultural Water Productivity-Based Hydro-Economic Modeling for Optimal Crop Pattern and Water Resources Planning in the Zarrine River Basin, Iran, in the Wake of Climate Change

Author

Listed:
  • Farzad Emami

    (Department of Geohydraulics and Engineering Hydrology, University of Kassel, 34125 Kassel, Germany)

  • Manfred Koch

    (Department of Geohydraulics and Engineering Hydrology, University of Kassel, 34125 Kassel, Germany)

Abstract

For water-stressed regions/countries, like Iran, improving the management of agricultural water-use in the wake of climate change and increasingly unsustainable demands is of utmost importance. One step further is then the maximization of the agricultural economic benefits, by properly adjusting the irrigated crop area pattern to optimally use the limited amount of water available. To that avail, a sequential hydro-economic model has been developed and applied to the agriculturally intensively used Zarrine River Basin (ZRB), Iran. In the first step, the surface and groundwater resources, especially, the inflow to the Boukan Dam, as well as the potential crop yields are simulated using the Soil Water Assessment Tool (SWAT) hydrological model, driven by GCM/QM-downscaled climate predictions for three future 21th-century periods under three climate RCPs. While in all nine combinations consistently higher temperatures are predicted, the precipitation pattern are much more versatile, leading to corresponding changes in the future water yields. Using the basin-wide water management tool MODSIM, the SWAT-simulated water available is then optimally distributed across the different irrigation plots in the ZRB, while adhering to various environmental/demand priority constraints. MODSIM is subsequently coupled with CSPSO to optimize (maximize) the agro-economic water productivity (AEWP) of the various crops and, subsequently, the net economic benefit (NEB), using crop areas as decision variables, while respecting various crop cultivation constraints. Adhering to political food security recommendations for the country, three variants of cereal cultivation area constraints are investigated. The results indicate considerably-augmented AEWPs, resulting in a future increase of the annual NEB of ~16% to 37.4 Million USD for the 65%-cereal acreage variant, while, at the same time, the irrigation water required is reduced by ~38%. This NEB-rise is achieved by augmenting the total future crop area in the ZRB by about 47%—indicating some deficit irrigation—wherefore most of this extension will be cultivated by the high AEWP-yielding crops wheat and barley, at the expense of a tremendous reduction of alfalfa acreage. Though presently making up only small base acreages, depending on the future period/RCP, tomato- and, less so, potato- and sugar beet-cultivation areas will also be increased significantly.

Suggested Citation

  • Farzad Emami & Manfred Koch, 2018. "Agricultural Water Productivity-Based Hydro-Economic Modeling for Optimal Crop Pattern and Water Resources Planning in the Zarrine River Basin, Iran, in the Wake of Climate Change," Sustainability, MDPI, vol. 10(11), pages 1-32, October.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:3953-:d:179284
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    References listed on IDEAS

    as
    1. Zwart, Sander J. & Bastiaanssen, Wim G. M., 2004. "Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize," Agricultural Water Management, Elsevier, vol. 69(2), pages 115-133, September.
    2. repec:iwt:bosers:h040193 is not listed on IDEAS
    3. M. Shourian & S. Mousavi & A. Tahershamsi, 2008. "Basin-wide Water Resources Planning by Integrating PSO Algorithm and MODSIM," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(10), pages 1347-1366, October.
    4. Ali Fazlali & Mojtaba Shourian, 2018. "A Demand Management Based Crop and Irrigation Planning Using the Simulation-Optimization Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(1), pages 67-81, January.
    5. repec:iwt:bosers:h041260 is not listed on IDEAS
    6. Ahmadzadeh, Hojat & Morid, Saeed & Delavar, Majid & Srinivasan, Raghavan, 2016. "Using the SWAT model to assess the impacts of changing irrigation from surface to pressurized systems on water productivity and water saving in the Zarrineh Rud catchment," Agricultural Water Management, Elsevier, vol. 175(C), pages 15-28.
    7. repec:iwt:bosers:h039769 is not listed on IDEAS
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    Cited by:

    1. Jie Zhu & Xiangyang Zhou & Jin Guo, 2023. "Sustainability of Agriculture: A Study of Digital Groundwater Supervision," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    2. Pengnan Xiao & Peng Qian & Jie Xu & Mengyao Lu, 2022. "A Bibliometric Analysis of the Application of Remote Sensing in Crop Spatial Patterns: Current Status, Progress and Future Directions," Sustainability, MDPI, vol. 14(7), pages 1-29, March.
    3. Mundetia, Nitika & Sharma, Devesh & Sharma, Aditya, 2024. "Groundwater sustainability assessment under climate change scenarios using integrated modelling approach and multi-criteria decision method," Ecological Modelling, Elsevier, vol. 487(C).
    4. Farhad Yazdandoost & Sogol Moradian & Ardalan Izadi, 2020. "Evaluation of Water Sustainability under a Changing Climate in Zarrineh River Basin, Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(15), pages 4831-4846, December.
    5. Amir Molajou & Parsa Pouladi & Abbas Afshar, 2021. "Incorporating Social System into Water-Food-Energy Nexus," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(13), pages 4561-4580, October.

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