IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i11p3953-d179284.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/11/3953/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/10/11/3953/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Molden, David, 2007. "Water for food, water for life: a comprehensive assessment of water management in agriculture: summary. In Russian," IWMI Books, Reports H041260, International Water Management Institute.
    4. 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.
    5. 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.
    6. Molden, David, 2007. "Water for food, water for life: a comprehensive assessment of water management in agriculture," IWMI Books, Reports H040193, International Water Management Institute.
    7. Molden, David, 2007. "Water for food, water for life: a comprehensive assessment of water management in agriculture: summary," IWMI Books, Reports H039769, International Water Management Institute.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    4. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mohammad Alauddin & Upali A. Amarasinghe & Bharat R. Sharma, 2014. "Four decades of rice water productivity in Bangladesh: A spatio-temporal analysis of district level panel data," Economic Analysis and Policy, Elsevier, vol. 44(1), pages 51-64.
    2. Katerji, Nader & Campi, Pasquale & Mastrorilli, Marcello, 2013. "Productivity, evapotranspiration, and water use efficiency of corn and tomato crops simulated by AquaCrop under contrasting water stress conditions in the Mediterranean region," Agricultural Water Management, Elsevier, vol. 130(C), pages 14-26.
    3. Zwart, Sander J. & Bastiaanssen, Wim G.M. & de Fraiture, Charlotte & Molden, David J., 2010. "WATPRO: A remote sensing based model for mapping water productivity of wheat," Agricultural Water Management, Elsevier, vol. 97(10), pages 1628-1636, October.
    4. Sharma, Bharat & Molden, D. & Cook, Simon, 2015. "Water use efficiency in agriculture: measurement, current situation and trends," Book Chapters,, International Water Management Institute.
    5. Jalota, S.K. & Singh, K.B. & Chahal, G.B.S. & Gupta, R.K. & Chakraborty, Somsubhra & Sood, Anil & Ray, S.S. & Panigrahy, S., 2009. "Integrated effect of transplanting date, cultivar and irrigation on yield, water saving and water productivity of rice (Oryza sativa L.) in Indian Punjab: Field and simulation study," Agricultural Water Management, Elsevier, vol. 96(7), pages 1096-1104, July.
    6. Sharma, Bharat & Molden, D. & Cook, Simon, 2015. "Water use efficiency in agriculture: measurement, current situation and trends," IWMI Books, Reports H046807, International Water Management Institute.
    7. Molden, David & Oweis, Theib & Steduto, Pasquale & Bindraban, Prem & Hanjra, Munir A. & Kijne, Jacob, 2010. "Improving agricultural water productivity: Between optimism and caution," Agricultural Water Management, Elsevier, vol. 97(4), pages 528-535, April.
    8. Bingzhen Du & Lin Zhen & Rudolf De Groot & Xin Long & Xiaochang Cao & Ruizi Wu & Chuanzhun Sun & Chao Wang, 2015. "Changing Food Consumption Patterns and Impact on Water Resources in the Fragile Grassland of Northern China," Sustainability, MDPI, vol. 7(5), pages 1-20, May.
    9. Cai, X.L. & Sharma, B.R., 2010. "Integrating remote sensing, census and weather data for an assessment of rice yield, water consumption and water productivity in the Indo-Gangetic river basin," Agricultural Water Management, Elsevier, vol. 97(2), pages 309-316, February.
    10. Bastiaanssen, W.G.M. & Allen, R.G. & Droogers, P. & D'Urso, G. & Steduto, P., 2007. "Twenty-five years modeling irrigated and drained soils: State of the art," Agricultural Water Management, Elsevier, vol. 92(3), pages 111-125, September.
    11. Scheierling, Susanne M. & Treguer, David O. & Booker, James F., 2015. "Water Productivity in Agriculture: Looking for Water in the Agricultural Productivity and Efficiency Literature," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205677, Agricultural and Applied Economics Association.
    12. Zwart, Sander J. & Bastiaanssen, Wim G.M. & de Fraiture, Charlotte & Molden, David J., 2010. "A global benchmark map of water productivity for rainfed and irrigated wheat," Agricultural Water Management, Elsevier, vol. 97(10), pages 1617-1627, October.
    13. Huang, Feng & Li, Baoguo, 2010. "Assessing grain crop water productivity of China using a hydro-model-coupled-statistics approach: Part I: Method development and validation," Agricultural Water Management, Elsevier, vol. 97(7), pages 1077-1092, July.
    14. Drerup, Philipp & Brueck, Holger & Scherer, Heinrich W., 2017. "Evapotranspiration of winter wheat estimated with the FAO 56 approach and NDVI measurements in a temperate humid climate of NW Europe," Agricultural Water Management, Elsevier, vol. 192(C), pages 180-188.
    15. Bossio, Deborah & Noble, Andrew & Molden, David & Nangia, Vinay, 2008. "Land degradation and water productivity in agricultural landscapes," IWMI Books, Reports H041591, International Water Management Institute.
    16. Cai, Xueliang & Sharma, Bharat R. & Matin, Mir Abdul & Sharma, Devesh & Gunasinghe, Sarath, 2010. "An assessment of crop water productivity in the Indus and Ganges River Basins: current status and scope for improvement," IWMI Research Reports 112970, International Water Management Institute.
    17. Bossio, Deborah A. & Noble, Andrew & Molden, David & Nangia, Vinay, 2008. "Land degradation and water productivity in agricultural landscapes," Book Chapters,, International Water Management Institute.
    18. Christopher O. AKINBILE & Andrew E. ERAZUA & Toju E. BABALOLA & Fidelis O. AJIBADE, 2016. "Environmental implications of animal wastes pollution on agricultural soil and water quality," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 11(3), pages 172-180.
    19. Scheierling, Susanne M. & Treguer, David O. & Booker, James F. & Decker, Elisabeth, 2014. "How to assess agricultural water productivity ? looking for water in the agricultural productivity and efficiency literature," Policy Research Working Paper Series 6982, The World Bank.
    20. Awulachew, Seleshi Bekele, 2011. "Water-centered growth challenges, innovations and interventions in Ethiopia," Conference Papers h044260, International Water Management Institute.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:3953-:d:179284. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.