IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v36y2022i11d10.1007_s11269-022-03249-3.html
   My bibliography  Save this article

Optimal Agricultural Water Allocation for the Sustainable Development of Surface and Groundwater Resources

Author

Listed:
  • Ijaz Ahmad

    (China-Pakistan Joint Research Center on Earth Sciences, CAS-HEC
    Chinese Academy of Sciences
    University of Engineering and Technology)

  • Fan Zhang

    (China-Pakistan Joint Research Center on Earth Sciences, CAS-HEC
    Chinese Academy of Sciences)

Abstract

This paper presents a multiobjective linear program for the optimal allocation of water resources among various crops in a large canal command area of Pakistan. The available surface water in the canal cannot meet the net irrigation requirement (NIR) of various crops, which leads to the overexploitation of groundwater and causes salinity problems. Therefore, an optimal water allocation model was formulated using the simultaneous compromise constraint (SICCON) technique for the sustainable development of surface water and groundwater. Three (03) single objective functions (OFs) and a multiobjective function (MOF) were considered in this study. The MOF combines the single OFs by developing an arrangement among them to both maximize the satisfaction rate for surface water (SRs) and net economic returns (NER) and minimize the salinity problems. The available surface water (AW) of 1531 Mm3 was allocated among various crops, i.e., wheat, cotton, sugarcane, rice, onion, and sunflower, using the SICCON technique, and the deficit was accounted for with groundwater reserves. The model results showed an average increase of 22% in SRs and 7.2 million USD in NERs from surface water allocation compared to the current water allocation practice. Moreover, the salinity levels of the allocated water exceed the threshold limits of onion, sugarcane, and rice crops in the current water allocation system and thereby negatively impact agricultural production. Hence, the model used in this study may support decision-makers in the optimal selection of different crops to be irrigated to maximize the SRs and NERs and minimize salinity problems.

Suggested Citation

  • Ijaz Ahmad & Fan Zhang, 2022. "Optimal Agricultural Water Allocation for the Sustainable Development of Surface and Groundwater Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(11), pages 4219-4236, September.
    • Handle: RePEc:spr:waterr:v:36:y:2022:i:11:d:10.1007_s11269-022-03249-3
    DOI: 10.1007/s11269-022-03249-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-022-03249-3
    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/s11269-022-03249-3?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. Jing Tian & Shenglian Guo & Dedi Liu & Zhengke Pan & Xingjun Hong, 2019. "A Fair Approach for Multi-Objective Water Resources Allocation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(10), pages 3633-3653, August.
    3. Mahsa Mirdashtvan & Ali Najafinejad & Arash Malekian & Amir Sa’doddin, 2021. "Sustainable Water Supply and Demand Management in Semi-arid Regions: Optimizing Water Resources Allocation Based on RCPs Scenarios," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(15), pages 5307-5324, December.
    4. Junfei Chen & Cong Yu & Miao Cai & Huimin Wang & Pei Zhou, 2020. "Multi-Objective Optimal Allocation of Urban Water Resources While Considering Conflict Resolution Based on the PSO Algorithm: A Case Study of Kunming, China," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    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. Komal Kumari & Anirban Dhar, 2023. "Analytic Element-Finite Volume Based Coupled Groundwater-Surface Water Interaction model for Canal Command Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(8), pages 3151-3167, June.
    2. Yu Fan & Haorui Chen & Zhanyi Gao & Benyan Fang & Xiangkun Liu, 2023. "A Model Coupling Water Resource Allocation and Canal Optimization for Water Distribution," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1341-1365, February.

    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. Wenyuan Jiang & Zhenxiang Zeng & Zhengyun Zhang & Yichen Zhao, 2022. "Regulation and Optimization of Urban Water and Land Resources Utilization for Low Carbon Development: A Case Study of Tianjin, China," Sustainability, MDPI, vol. 14(5), pages 1-22, February.
    2. Amir Hatamkhani & Ali Moridi, 2021. "Optimal Development of Agricultural Sectors in the Basin Based on Economic Efficiency and Social Equality," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(3), pages 917-932, February.
    3. Elmira Valipour & Hamed Ketabchi & Reza Safari shali & Saeed Morid, 2023. "Equity, Social Welfare, and Economic Benefit Efficiency in the Optimal Allocation of Coastal Groundwater Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(8), pages 2969-2990, June.
    4. Leakey, Roger & Kranjac-Berisavljevic, Gordana & Caron, Patrick & Craufurd, Peter & Martin, Adrienne M. & McDonald, Andy & Abedini, Walter & Afiff, Suraya & Bakurin, Ndey & Bass, Steve & Hilbeck, Ange, 2009. "Impacts of AKST on development and sustainability goals," Book Chapters,, International Water Management Institute.
    5. Serafim Opricovic, 2009. "A Compromise Solution in Water Resources Planning," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(8), pages 1549-1561, June.
    6. 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.
    7. Xing Liu & Zhaoyang Cai & Yan Xu & Huihui Zheng & Kaige Wang & Fengrong Zhang, 2022. "Suitability Evaluation of Cultivated Land Reserved Resources in Arid Areas Based on Regional Water Balance," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(4), pages 1463-1479, March.
    8. 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.
    9. Xike Guan & Zengchuan Dong & Yun Luo & Dunyu Zhong, 2021. "Multi-Objective Optimal Allocation of River Basin Water Resources under Full Probability Scenarios Considering Wet–Dry Encounters: A Case Study of Yellow River Basin," IJERPH, MDPI, vol. 18(21), pages 1-19, November.
    10. Mohammad Karamouz & Sara Nazif & Mohammad Sherafat & Zahra Zahmatkesh, 2014. "Development of an Optimal Reservoir Operation Scheme Using Extended Evolutionary Computing Algorithms Based on Conflict Resolution Approach: A Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3539-3554, September.
    11. Jianan Qin & Xiang Fu & Shaoming Peng & Yuni Xu & Jie Huang & Sha Huang, 2019. "Asymmetric Bargaining Model for Water Resource Allocation over Transboundary Rivers," IJERPH, MDPI, vol. 16(10), pages 1-23, May.
    12. Motahareh Saadatpour & Fardin Kamali, 2022. "A Novel Approach to the Optimization of the Spatial Distribution of the Multiple Crop Pattern on a River Basin Scale," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(14), pages 5565-5580, November.
    13. Shaokun He & Shenglian Guo & Guang Yang & Kebing Chen & Dedi Liu & Yanlai Zhou, 2020. "Optimizing Operation Rules of Cascade Reservoirs for Adapting Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(1), pages 101-120, January.
    14. Xiaojing Shen & Xu Wu & Xinmin Xie & Chuanjiang Wei & Liqin Li & Jingjing Zhang, 2021. "Synergetic Theory-Based Water Resource Allocation Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(7), pages 2053-2078, May.
    15. 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.
    16. Hanzhang Zhou & Jinghao Zhang & Shibo Cui & Jianshi Zhao, 2023. "Modeling Hydrologic–Economic Interactions for Sustainable Development: A Case Study in Inner Mongolia, China," Sustainability, MDPI, vol. 16(1), pages 1-30, December.
    17. Mohamed Mohamed & Aysha Al-Mualla, 2010. "Water Demand Forecasting in Umm Al-Quwain (UAE) Using the IWR-MAIN Specify Forecasting Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 4093-4120, November.
    18. Khawar Naeem & Adel Zghibi & Adel Elomri & Annamaria Mazzoni & Chefi Triki, 2023. "A Literature Review on System Dynamics Modeling for Sustainable Management of Water Supply and Demand," Sustainability, MDPI, vol. 15(8), pages 1-24, April.
    19. 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.
    20. Pradeep Dogra & V. Sharda & P. Ojasvi & Shiv Prasher & R. Patel, 2014. "Compromise Programming Based Model for Augmenting Food Production with Minimum Water Allocation in a Watershed: a Case Study in the Indian Himalayas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(15), pages 5247-5265, December.

    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:36:y:2022:i:11:d:10.1007_s11269-022-03249-3. 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.