IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v152y2015icp161-172.html
   My bibliography  Save this article

Optimal design of agricultural water systems with multiperiod collection, storage, and distribution

Author

Listed:
  • Arredondo-Ramírez, Karla
  • Rubio-Castro, Eusiel
  • Nápoles-Rivera, Fabricio
  • Ponce-Ortega, José María
  • Serna-González, Medardo
  • El-Halwagi, Mahmoud M.

Abstract

Water is one of the most valuable resources in the world and the agriculture is one the largest fresh water consumers due to the low efficiencies in the irrigation processes. This paper proposes a mathematical programming model for the optimal planning of an integrated system which involves water collection, reuse, and distribution strategies. Because of the variability in water supplies and demands throughout the year, a multiperiod optimization approach is adopted. The multi-objective function includes the minimization of fresh water consumption and the minimization of the total annual cost, this cost is divided in capital cost which consists of the catchment areas, storages and pumps, as well as the operating cost for pumping and fresh water. A multi-objective mixed-integer nonlinear programming model is formulated and solved using the ɛ-constrained method. The applicability of the proposed approach was shown through a case study from the State of Michoacán in Mexico where a lot of fresh water is consumed for agricultural purposes. The results show that fresh water consumption can be significantly reduced by the implementation of the proposed approach while simultaneously addressing the economic objective.

Suggested Citation

  • Arredondo-Ramírez, Karla & Rubio-Castro, Eusiel & Nápoles-Rivera, Fabricio & Ponce-Ortega, José María & Serna-González, Medardo & El-Halwagi, Mahmoud M., 2015. "Optimal design of agricultural water systems with multiperiod collection, storage, and distribution," Agricultural Water Management, Elsevier, vol. 152(C), pages 161-172.
    • Handle: RePEc:eee:agiwat:v:152:y:2015:i:c:p:161-172
    DOI: 10.1016/j.agwat.2015.01.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377415000165
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2015.01.007?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. Pereira, Luis S., 1999. "Higher performance through combined improvements in irrigation methods and scheduling: a discussion," Agricultural Water Management, Elsevier, vol. 40(2-3), pages 153-169, May.
    2. 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.
    3. Rao, N. H. & Sarma, P. B. S. & Chander, Subhash, 1988. "Irrigation scheduling under a limited water supply," Agricultural Water Management, Elsevier, vol. 15(2), pages 165-175, December.
    4. Garg, N.K. & Dadhich, Sushmita M., 2014. "Integrated non-linear model for optimal cropping pattern and irrigation scheduling under deficit irrigation," Agricultural Water Management, Elsevier, vol. 140(C), pages 1-13.
    5. Shang, Songhao & Mao, Xiaomin, 2006. "Application of a simulation based optimization model for winter wheat irrigation scheduling in North China," Agricultural Water Management, Elsevier, vol. 85(3), pages 314-322, October.
    6. Moradi-Jalal, Mahdi & Bozorg Haddad, Omid & Karney, Bryan W. & Marino, Miguel A., 2007. "Reservoir operation in assigning optimal multi-crop irrigation areas," Agricultural Water Management, Elsevier, vol. 90(1-2), pages 149-159, May.
    7. Burke, S. & Mulligan, M. & Thornes, J. B., 1999. "Optimal irrigation efficiency for maximum plant productivity and minimum water loss," Agricultural Water Management, Elsevier, vol. 40(2-3), pages 377-391, May.
    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. Tian, Guiliang & Wu, Xuan & Zhao, Qiuya & Li, Jiawen & Zhu, Mengqiu, 2024. "The impact of integrated agricultural water pricing reform on farmers' income in China," Agricultural Water Management, Elsevier, vol. 299(C).
    2. Hipólito-Valencia, Brígido J. & Mosqueda-Jiménez, Francisco Waldemar & Barajas-Fernández, Juan & Ponce-Ortega, José M., 2021. "Incorporating a seawater desalination scheme in the optimal water use in agricultural activities," Agricultural Water Management, Elsevier, vol. 244(C).

    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. Chen, Shu & Shao, Dongguo & Gu, Wenquan & Xu, Baoli & Li, Haoxin & Fang, Longzhang, 2017. "An interval multistage water allocation model for crop different growth stages under inputs uncertainty," Agricultural Water Management, Elsevier, vol. 186(C), pages 86-97.
    2. Jiang, Yao & Xu, Xu & Huang, Quanzhong & Huo, Zailin & Huang, Guanhua, 2016. "Optimizing regional irrigation water use by integrating a two-level optimization model and an agro-hydrological model," Agricultural Water Management, Elsevier, vol. 178(C), pages 76-88.
    3. Shu Chen & Dongguo Shao & Xudong Li & Caixiu Lei, 2016. "Simulation-Optimization Modeling of Conjunctive Operation of Reservoirs and Ponds for Irrigation of Multiple Crops Using an Improved Artificial Bee Colony Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(9), pages 2887-2905, July.
    4. Ajay Singh, 2014. "Irrigation Planning and Management Through Optimization Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(1), pages 1-14, January.
    5. T. Fowe & I. Nouiri & B. Ibrahim & H. Karambiri & J. Paturel, 2015. "OPTIWAM: An Intelligent Tool for Optimizing Irrigation Water Management in Coupled Reservoir–Groundwater Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3841-3861, August.
    6. Juárez-Torres, Miriam & Sánchez-Aragón, Leonardo & Vedenov, Dmitry, 2017. "Weather Derivatives and Water Management in Developing Countries: An Application for an Irrigation District in Central Mexico," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(2), May.
    7. Zhou, Huiping & Chen, Jinliang & Wang, Feng & Li, Xiaojuan & Génard, Michel & Kang, Shaozhong, 2020. "An integrated irrigation strategy for water-saving and quality-improving of cash crops: Theory and practice in China," Agricultural Water Management, Elsevier, vol. 241(C).
    8. Wen, Yeqiang & Shang, Songhao & Yang, Jian, 2017. "Optimization of irrigation scheduling for spring wheat with mulching and limited irrigation water in an arid climate," Agricultural Water Management, Elsevier, vol. 192(C), pages 33-44.
    9. Linker, Raphael, 2020. "Unified framework for model-based optimal allocation of crop areas and water," Agricultural Water Management, Elsevier, vol. 228(C).
    10. Shi, Jianchu & Wu, Xun & Zhang, Mo & Wang, Xiaoyu & Zuo, Qiang & Wu, Xiaoguang & Zhang, Hongfei & Ben-Gal, Alon, 2021. "Numerically scheduling plant water deficit index-based smart irrigation to optimize crop yield and water use efficiency," Agricultural Water Management, Elsevier, vol. 248(C).
    11. Pereira, Luis Santos & Oweis, Theib & Zairi, Abdelaziz, 2002. "Irrigation management under water scarcity," Agricultural Water Management, Elsevier, vol. 57(3), pages 175-206, December.
    12. Madan K. Jha & Richard C. Peralta & Sasmita Sahoo, 2020. "Simulation-Optimization for Conjunctive Water Resources Management and Optimal Crop Planning in Kushabhadra-Bhargavi River Delta of Eastern India," IJERPH, MDPI, vol. 17(10), pages 1-20, May.
    13. Issam Nouiri & Muluneh Yitayew & Jobst Maßmann & Jamila Tarhouni, 2015. "Multi-objective Optimization Tool for Integrated Groundwater Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5353-5375, November.
    14. Jovanovic, N. & Pereira, L.S. & Paredes, P. & Pôças, I. & Cantore, V. & Todorovic, M., 2020. "A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods," Agricultural Water Management, Elsevier, vol. 239(C).
    15. Parkes, Martin & Jian, Wang & Knowles, Rupert, 2005. "Peak crop coefficient values for Shaanxi, North-west China," Agricultural Water Management, Elsevier, vol. 73(2), pages 149-168, May.
    16. Cao, Jingjing & Tan, Junwei & Cui, Yuanlai & Luo, Yufeng, 2019. "Irrigation scheduling of paddy rice using short-term weather forecast data," Agricultural Water Management, Elsevier, vol. 213(C), pages 714-723.
    17. Calzadilla, Alvaro & Rehdanz, Katrin & Tol, Richard S.J., 2008. "Water scarcity and the impact of improved irrigation management: A CGE analysis," Conference papers 331788, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    18. Balali, Hamid & Khalilian, Sadegh & Viaggi, Davide & Bartolini, Fabio & Ahmadian, Majid, 2011. "Groundwater balance and conservation under different water pricing and agricultural policy scenarios: A case study of the Hamadan-Bahar plain," Ecological Economics, Elsevier, vol. 70(5), pages 863-872, March.
    19. Zhang, Chao & Xie, Ziang & Wang, Qiaojuan & Tang, Min & Feng, Shaoyuan & Cai, Huanjie, 2022. "AquaCrop modeling to explore optimal irrigation of winter wheat for improving grain yield and water productivity," Agricultural Water Management, Elsevier, vol. 266(C).
    20. Zhao, Nana & Liu, Yu & Cai, Jiabing & Paredes, Paula & Rosa, Ricardo D. & Pereira, Luis S., 2013. "Dual crop coefficient modelling applied to the winter wheat–summer maize crop sequence in North China Plain: Basal crop coefficients and soil evaporation component," Agricultural Water Management, Elsevier, vol. 117(C), pages 93-105.

    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:eee:agiwat:v:152:y:2015:i:c:p:161-172. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    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.