IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v7y2017i9p73-d110882.html
   My bibliography  Save this article

Optimal Cultivation Pattern to Increase Revenue and Reduce Water Use: Application of Linear Programming to Arjan Plain in Fars Province

Author

Listed:
  • Amin Daghighi

    (Department of Civil and Environmental Engineering, Cleveland State University, Cleveland, OH 44115, USA
    Daneshkar Ahwaz Company, Tehran 1987984354, Iran)

  • Ali Nahvi

    (Department of Civil, Construction and Environmental Engineering, Iowa State University, Ames, IA 50011, USA)

  • Ungtae Kim

    (Department of Civil and Environmental Engineering, Cleveland State University, Cleveland, OH 44115, USA)

Abstract

Because the available water resources of the Arjan plain region in Iran do not fully meet the watering requirements for plants in farmlands, the crops suffer from water stress, a situation that causes them to wilt. The aim of this study is to develop a water resources planning model that helps decision-makers determine an appropriate cultivation pattern, optimize the exploitation from surface water resources, and specify the method of allocating water across different farm crops to minimize the detrimental effects of water shortage. Through investigating various models of water resources planning and properties along with the governing conditions for each of these models, the linear programming model was selected as a suitable option due to its simplicity and practical applicability to water resource allocation planning. The model was run for a five-year period by considering gradual variations through the determination of the most appropriate exploitation pattern from the available water resources (surface and groundwater). Results reveal that the negative water balance can be improved gradually as positive, where it will reach +20 million m 3 per year in 2040 from the current deficit of 236 million m 3 with an 8% increased net profit.

Suggested Citation

  • Amin Daghighi & Ali Nahvi & Ungtae Kim, 2017. "Optimal Cultivation Pattern to Increase Revenue and Reduce Water Use: Application of Linear Programming to Arjan Plain in Fars Province," Agriculture, MDPI, vol. 7(9), pages 1-11, September.
    • Handle: RePEc:gam:jagris:v:7:y:2017:i:9:p:73-:d:110882
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/7/9/73/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/7/9/73/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Li, Mo & Guo, Ping, 2015. "A coupled random fuzzy two-stage programming model for crop area optimization—A case study of the middle Heihe River basin, China," Agricultural Water Management, Elsevier, vol. 155(C), pages 53-66.
    3. Dai, Z.Y. & Li, Y.P., 2013. "A multistage irrigation water allocation model for agricultural land-use planning under uncertainty," Agricultural Water Management, Elsevier, vol. 129(C), pages 69-79.
    4. M J López-Baldovin & C Gutiérrez-Martin & J Berbel, 2006. "Multicriteria and multiperiod programming for scenario analysis in Guadalquivir river irrigated farming," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(5), pages 499-509, May.
    5. Zeng, Xieting & Kang, Shaozhong & Li, Fusheng & Zhang, Lu & Guo, Ping, 2010. "Fuzzy multi-objective linear programming applying to crop area planning," Agricultural Water Management, Elsevier, vol. 98(1), pages 134-142, December.
    6. Iglesias, Ana & Garrote, Luis, 2015. "Adaptation strategies for agricultural water management under climate change in Europe," Agricultural Water Management, Elsevier, vol. 155(C), pages 113-124.
    7. 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.
    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. Dean C. J. Rice & Rupp Carriveau & David S. -K. Ting & Mo’tamad H. Bata, 2017. "Evaluation of Crop to Crop Water Demand Forecasting: Tomatoes and Bell Peppers Grown in a Commercial Greenhouse," Agriculture, MDPI, vol. 7(12), pages 1-14, December.
    2. Ajay Singh, 2022. "Better Water and Land Allocation for Long-term Agricultural Sustainability," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(10), pages 3505-3522, August.
    3. Noha H. Moghazy & Jagath J. Kaluarachchi, 2020. "Sustainable Agriculture Development in the Western Desert of Egypt: A Case Study on Crop Production, Profit, and Uncertainty in the Siwa Region," Sustainability, MDPI, vol. 12(16), pages 1-23, August.
    4. Noha H. Moghazy & Jagath J. Kaluarachchi, 2021. "Impact of Climate Change on Agricultural Development in a Closed Groundwater-Driven Basin: A Case Study of the Siwa Region, Western Desert of Egypt," Sustainability, MDPI, vol. 13(3), pages 1-21, February.
    5. Ijaz Ahmad & Fan Zhang & Junguo Liu & Muhammad Naveed Anjum & Muhammad Zaman & Muhammad Tayyab & Muhammad Waseem & Hafiz Umar Farid, 2018. "A linear bi-level multi-objective program for optimal allocation of water resources," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-25, 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. 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. Chen, Shu & Shao, Dongguo & Tan, Xuezhi & Gu, Wenquan & Lei, Caixiu, 2017. "An interval multistage classified model for regional inter- and intra-seasonal water management under uncertain and nonstationary condition," Agricultural Water Management, Elsevier, vol. 191(C), pages 98-112.
    3. Singh, Ajay, 2014. "Simulation–optimization modeling for conjunctive water use management," Agricultural Water Management, Elsevier, vol. 141(C), pages 23-29.
    4. Zhang, Chenglong & Engel, Bernard A. & Guo, Ping, 2018. "An Interval-based Fuzzy Chance-constrained Irrigation Water Allocation model with double-sided fuzziness," Agricultural Water Management, Elsevier, vol. 210(C), pages 22-31.
    5. 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.
    6. Li, Mo & Guo, Ping, 2015. "A coupled random fuzzy two-stage programming model for crop area optimization—A case study of the middle Heihe River basin, China," Agricultural Water Management, Elsevier, vol. 155(C), pages 53-66.
    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. 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.
    9. Li, Mo & Guo, Ping & Singh, Vijay P. & Yang, Gaiqiang, 2016. "An uncertainty-based framework for agricultural water-land resources allocation and risk evaluation," Agricultural Water Management, Elsevier, vol. 177(C), pages 10-23.
    10. 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.
    11. Li, Xiaojuan & Kang, Shaozhong & Niu, Jun & Du, Taisheng & Tong, Ling & Li, Sien & Ding, Risheng, 2017. "Applying uncertain programming model to improve regional farming economic benefits and water productivity," Agricultural Water Management, Elsevier, vol. 179(C), pages 352-365.
    12. Li, Dazhi & Hendricks Franssen, Harrie-Jan & Han, Xujun & Jiménez-Bello, Miguel Angel & Martínez Alzamora, Fernando & Vereecken, Harry, 2018. "Evaluation of an operational real-time irrigation scheduling scheme for drip irrigated citrus fields in Picassent, Spain," Agricultural Water Management, Elsevier, vol. 208(C), pages 465-477.
    13. Víctor M. Albornoz & Marcelo I. Véliz & Rodrigo Ortega & Virna Ortíz-Araya, 2020. "Integrated versus hierarchical approach for zone delineation and crop planning under uncertainty," Annals of Operations Research, Springer, vol. 286(1), pages 617-634, March.
    14. Yang, Xin & Bornø, Marie Louise & Wei, Zhenhua & Liu, Fulai, 2021. "Combined effect of partial root drying and elevated atmospheric CO2 on the physiology and fruit quality of two genotypes of tomato plants with contrasting endogenous ABA levels," Agricultural Water Management, Elsevier, vol. 254(C).
    15. D. Santillán & L. Garrote & A. Iglesias & V. Sotes, 2020. "Climate change risks and adaptation: new indicators for Mediterranean viticulture," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(5), pages 881-899, May.
    16. Romero, Pascual & Botía, Pablo & del Amor, Francisco M. & Gil-Muñoz, Rocío & Flores, Pilar & Navarro, Josefa María, 2019. "Interactive effects of the rootstock and the deficit irrigation technique on wine composition, nutraceutical potential, aromatic profile, and sensory attributes under semiarid and water limiting condi," Agricultural Water Management, Elsevier, vol. 225(C).
    17. Bingkui Qiu & Shasha Lu & Min Zhou & Lu Zhang & Yu Deng & Ci Song & Zuo Zhang, 2015. "A Hybrid Inexact Optimization Method for Land-Use Allocation in Association with Environmental/Ecological Requirements at a Watershed Level," Sustainability, MDPI, vol. 7(4), pages 1-25, April.
    18. Mingjing Guo & Ziyu Jiang & Yan Bu & Jinhua Cheng, 2019. "Supporting Sustainable Development of Water Resources: A Social Welfare Maximization Game Model," IJERPH, MDPI, vol. 16(16), pages 1-15, August.
    19. Nazemi, Neda & Foley, Rider W. & Louis, Garrick & Keeler, Lauren Withycombe, 2020. "Divergent agricultural water governance scenarios: The case of Zayanderud basin, Iran," Agricultural Water Management, Elsevier, vol. 229(C).
    20. Nikolaos Gourgouletis & Marianna Gkavrou & Evangelos Baltas, 2023. "Comparison of Empirical ETo Relationships with ERA5-Land and In Situ Data in Greece," Geographies, MDPI, vol. 3(3), pages 1-23, August.

    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:jagris:v:7:y:2017:i:9:p:73-:d:110882. 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.