IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v30y2016i3d10.1007_s11269-015-1200-y.html
   My bibliography  Save this article

Multi-Objective Optimization Model for the Allocation of Water Resources in Arid Regions Based on the Maximization of Socioeconomic Efficiency

Author

Listed:
  • M. Habibi Davijani

    (Water Resources Engineering)

  • M. E. Banihabib

    (University of Tehran, University College of Abureyhan)

  • A. Nadjafzadeh Anvar

    (Politecnico di Milano University)

  • S. R. Hashemi

    (University of Birjand)

Abstract

The escalating world population has led to a drastic increase in water demand in the municipal and drinking water, agriculture and industry sectors. This situation necessitates application of effective measures for the optimal and efficient management of water resources. With this respect, a two-objective socioeconomic model (aimed at job creation) has been presented in this study for the optimum allocation of water resources to industry, agriculture and municipal water sectors. In the agriculture sector, the production function of each product has been determined and then, based on the production functions, areas under cultivation, product yield and the income obtained from each product, the combined objective function has been specified. In the industry sector, since water demand is a function of the amount of produced products, price of supplied water and the price of other supplies, the demand function of this sector was determined regionally. Also, considering the existing necessity in meeting the municipal water requirement, the total amount of water needed by this sector was fully allocated. Then by using two meta-heuristic algorithms, i.e. genetic algorithm (GA) and particle swarm optimization (PSO), the objective functions were maximized and the water resources were optimally allocated between agriculture and industry sectors and the results were compared. Ultimately, comparing the results gained by PSO and GA algorithms, PSO with an economic and profit growth of 54 % and a 13 % rise in employment relative to the base condition, turned out to be more efficient in this application.

Suggested Citation

  • M. Habibi Davijani & M. E. Banihabib & A. Nadjafzadeh Anvar & S. R. Hashemi, 2016. "Multi-Objective Optimization Model for the Allocation of Water Resources in Arid Regions Based on the Maximization of Socioeconomic Efficiency," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 927-946, February.
    • Handle: RePEc:spr:waterr:v:30:y:2016:i:3:d:10.1007_s11269-015-1200-y
    DOI: 10.1007/s11269-015-1200-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-015-1200-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-015-1200-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. M. Babel & A. Gupta & D. Nayak, 2005. "A Model for Optimal Allocation of Water to Competing Demands," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(6), pages 693-712, December.
    2. Panda, R. K. & Behera, S. K. & Kashyap, P. S., 2003. "Effective management of irrigation water for wheat under stressed conditions," Agricultural Water Management, Elsevier, vol. 63(1), pages 37-56, November.
    3. Bielsa, Jorge & Duarte, Rosa, 2001. "An economic model for water allocation in North Eastern Spain," MPRA Paper 36729, University Library of Munich, Germany.
    4. Rosegrant, M. W. & Ringler, C. & McKinney, D. C. & Cai, X. & Keller, A. & Donoso, G., 2000. "Integrated economic-hydrologic water modeling at the basin scale: the Maipo river basin," Agricultural Economics, Blackwell, vol. 24(1), pages 33-46, December.
    5. Shangguan, Zhouping & Shao, Mingan & Horton, Robert & Lei, Tingwu & Qin, Lin & Ma, Jianqing, 2002. "A model for regional optimal allocation of irrigation water resources under deficit irrigation and its applications," Agricultural Water Management, Elsevier, vol. 52(2), pages 139-154, January.
    6. Mendoza, Guillermo A. & Bruce Bare, B. & Zhou, Zehai, 1993. "A fuzzy multiple objective linear programming approach to forest planning under uncertainty," Agricultural Systems, Elsevier, vol. 41(3), pages 257-274.
    7. Yan Han & Shi-guo Xu & Xiang-zhou Xu, 2008. "Modeling Multisource Multiuser Water Resources Allocation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(7), pages 911-923, July.
    8. Benli, Bogachan & Kodal, Suleyman, 2003. "A non-linear model for farm optimization with adequate and limited water supplies: Application to the South-east Anatolian Project (GAP) Region," Agricultural Water Management, Elsevier, vol. 62(3), pages 187-203, October.
    9. 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.
    10. Kijne, J. W. & Barker, R. & Molden. D., 2003. "Water productivity in agriculture: limits and opportunities for improvement," IWMI Books, Reports H032631, International Water Management Institute.
    11. Vazifedoust, M. & van Dam, J.C. & Feddes, R.A. & Feizi, M., 2008. "Increasing water productivity of irrigated crops under limited water supply at field scale," Agricultural Water Management, Elsevier, vol. 95(2), pages 89-102, February.
    12. Reca, Juan & Roldan, Jose & Alcaide, Miguel & Lopez, Rafael & Camacho, Emilio, 2001. "Optimisation model for water allocation in deficit irrigation systems: II. Application to the Bembezar irrigation system," Agricultural Water Management, Elsevier, vol. 48(2), pages 117-132, June.
    13. Kijne, Jacob W. & Barker, Randolph & Molden, David J. (ed.), 2003. "Water productivity in agriculture: limits and opportunities for improvement," IWMI Books, International Water Management Institute, number 138054.
    14. Aregai Tecle & Bijaya P. Shrestha & Lucien Duckstein, 1998. "A multiobjective decision support system for multiresource forest management," Group Decision and Negotiation, Springer, vol. 7(1), pages 23-40, January.
    15. Quanqi, Li & Xunbo, Zhou & Yuhai, Chen & Songlie, Yu, 2012. "Water consumption characteristics of winter wheat grown using different planting patterns and deficit irrigation regime," Agricultural Water Management, Elsevier, vol. 105(C), pages 8-12.
    16. Reca, Juan & Roldan, Jose & Alcaide, Miguel & Lopez, Rafael & Camacho, Emilio, 2001. "Optimisation model for water allocation in deficit irrigation systems: I. Description of the model," Agricultural Water Management, Elsevier, vol. 48(2), pages 103-116, June.
    Full references (including those not matched with items on IDEAS)

    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. Susanne Scheierling & David O. Treguer & James F. Booker, 2016. "Water Productivity in Agriculture: Looking for Water in the Agricultural Productivity and Efficiency Literature," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 2(03), pages 1-33, September.
    2. Javier Alarcón & Alberto Garrido & Luis Juana, 2014. "Managing Irrigation Water Shortage: a Comparison Between Five Allocation Rules Based on Crop Benefit Functions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(8), pages 2315-2329, June.
    3. Poddar, Ratneswar & Acharjee, P.U. & Bhattacharyya, K. & Patra, S.K., 2022. "Effect of irrigation regime and varietal selection on the yield, water productivity, energy indices and economics of rice production in the lower Gangetic Plains of Eastern India," Agricultural Water Management, Elsevier, vol. 262(C).
    4. Budy P. Resosudarmo & Kimlong Chheng, 2021. "Irrigation inequality, rice farming productivity and food insecurity in rural Cambodia," Departmental Working Papers 2021-19, The Australian National University, Arndt-Corden Department of Economics.
    5. Hossain, Istiaque & Siwar, Chamhuri & Bin Mokhta, Mazlin & Dey, Madan Mohan & Jaafar, Abd. Hamid & Alam, Md. Mahmudul, 2019. "Water Productivity for Boro Rice Production: Study on floodplain Beels in Rajshahi, Bangladesh," OSF Preprints tm9na, Center for Open Science.
    6. 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.
    7. 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.
    8. Chunlong Li & Jianzhong Zhou & Shuo Ouyang & Chao Wang & Yi Liu, 2015. "Water Resources Optimal Allocation Based on Large-scale Reservoirs in the Upper Reaches of Yangtze River," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(7), pages 2171-2187, May.
    9. Geerts, S. & Raes, D. & Garcia, M., 2010. "Using AquaCrop to derive deficit irrigation schedules," Agricultural Water Management, Elsevier, vol. 98(1), pages 213-216, December.
    10. Ahmad, Mirza Junaid & Iqbal, Muhammad Anjum & Choi, Kyung Sook, 2020. "Climate-driven constraints in sustaining future wheat yield and water productivity," Agricultural Water Management, Elsevier, vol. 231(C).
    11. Kumar, M. Dinesh & van Dam, J. C., 2009. "Improving water productivity in agriculture in India: beyond \u2018more crop per drop\u2019," IWMI Books, Reports H042639, International Water Management Institute.
    12. Liu, Junguo & Williams, Jimmy R. & Zehnder, Alexander J.B. & Yang, Hong, 2007. "GEPIC - modelling wheat yield and crop water productivity with high resolution on a global scale," Agricultural Systems, Elsevier, vol. 94(2), pages 478-493, May.
    13. R. Roozbahani & S. Schreider & B. Abbasi, 2013. "Economic Sharing of Basin Water Resources between Competing Stakeholders," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 2965-2988, June.
    14. Ignacio Lorite & Margarita García-Vila & María-Ascensión Carmona & Cristina Santos & María-Auxiliadora Soriano, 2012. "Assessment of the Irrigation Advisory Services’ Recommendations and Farmers’ Irrigation Management: A Case Study in Southern Spain," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2397-2419, June.
    15. Mohamed Kharrou & Michel Le Page & Ahmed Chehbouni & Vincent Simonneaux & Salah Er-Raki & Lionel Jarlan & Lahcen Ouzine & Said Khabba & Ghani Chehbouni, 2013. "Assessment of Equity and Adequacy of Water Delivery in Irrigation Systems Using Remote Sensing-Based Indicators in Semi-Arid Region, Morocco," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4697-4714, October.
    16. Kumar, M. Dinesh & van Dam, J. C., 2008. "Improving water productivity in agriculture in developing economies: in search of new avenues," IWMI Conference Proceedings 245276, International Water Management Institute.
    17. Molden, David & Oweis, T. Y. & Pasquale, S. & Kijne, Jacob W. & Hanjra, M. A. & Bindraban, P. S. & Bouman, Bas A. M. & Cook, S. & Erenstein, O. & Farahani, H. & Hachum, A. & Hoogeveen, J. & Mahoo, Hen, 2007. "Pathways for increasing agricultural water productivity," Book Chapters,, International Water Management Institute.
    18. Hafeez, Mohsin & Bundschuh, Jochen & Mushtaq, Shahbaz, 2014. "Exploring synergies and tradeoffs: Energy, water, and economic implications of water reuse in rice-based irrigation systems," Applied Energy, Elsevier, vol. 114(C), pages 889-900.
    19. Tellioglu, Isin & Konandreas, Panos, 2017. "Agricultural Policies, Trade and Sustainable Development in Egypt," National Policies, Trade and Sustainable Development 320158, International Centre for Trade and Sustainable Development (ICTSD).
    20. Metin Sezen, S. & Yazar, Attila, 2006. "Wheat yield response to line-source sprinkler irrigation in the arid Southeast Anatolia region of Turkey," Agricultural Water Management, Elsevier, vol. 81(1-2), pages 59-76, March.

    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:spr:waterr:v:30:y:2016:i:3:d:10.1007_s11269-015-1200-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.