IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v256y2021ics0378377421003929.html
   My bibliography  Save this article

Fuzzy particle swarm optimization for conjunctive use of groundwater and reclaimed wastewater under uncertainty

Author

Listed:
  • Mirzaie, Nargis
  • Banihabib, Mohammad Ebrahim
  • shahdany, S. Mehdy hashemy
  • Randhir, Timothy O.

Abstract

Water scarcity is a significant global challenge. Water resources planning and management are vital to all sectors, primarily for the agricultural sector identified as a significant consumer. Conjunctive water use management is ideal for decreasing water scarcity, especially in arid and semiarid regions. More importantly, considering uncertainties in water management is critical to planning and management issues. This study develops a fuzzy optimization model aiming at a qualitative-quantitative conjunctive reallocation of reclaimed wastewater and groundwater resources. Three objectives, including maximizing economic benefit, minimizing fertilizer consumption, and groundwater withdrawal, were assessed in Iran's Varamin Irrigation Network. This research uses fuzzy and non-fuzzy optimization models for a quantitative-qualitative conjunctive use of reclaimed wastewater and groundwater to meet multi-objective functions. These single and multi-objective fuzzy and non-fuzzy optimization models are compared. The particle swarm optimization (PSO) and multi-objective PSO (MOPSO) algorithms optimized single and multi-objective problems. A fuzzy optimization model is superior to the non-fuzzy optimization model regarding optimizing multi-objective functions. The results indicated that the net benefit increased up to 16% without increasing the cultivated area in the fuzzy MOPSO model. Moreover, groundwater withdrawal was reduced by using a larger share of reclaimed wastewater in total water consumption. This increased the use of potential nitrate in reclaimed wastewater and reduced fertilizer consumption. This study highlights achieving socio-economic and environmental goals under uncertain circumstances using agricultural water strategies through reclaimed wastewater. Also, a general improvement in water consumption efficiency was achieved through the optimal cropping pattern.

Suggested Citation

  • Mirzaie, Nargis & Banihabib, Mohammad Ebrahim & shahdany, S. Mehdy hashemy & Randhir, Timothy O., 2021. "Fuzzy particle swarm optimization for conjunctive use of groundwater and reclaimed wastewater under uncertainty," Agricultural Water Management, Elsevier, vol. 256(C).
    • Handle: RePEc:eee:agiwat:v:256:y:2021:i:c:s0378377421003929
    DOI: 10.1016/j.agwat.2021.107116
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377421003929
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2021.107116?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. Eli Feinerman & Yacov Tsur, 2014. "Perennial crops under stochastic water supply," Agricultural Economics, International Association of Agricultural Economists, vol. 45(6), pages 757-766, November.
    2. Dawson, C.J. & Hilton, J., 2011. "Fertiliser availability in a resource-limited world: Production and recycling of nitrogen and phosphorus," Food Policy, Elsevier, vol. 36(Supplemen), pages 14-22, January.
    3. Farshad Rezaei & Hamid R. Safavi & Maryam Zekri, 2017. "A Hybrid Fuzzy-Based Multi-Objective PSO Algorithm for Conjunctive Water Use and Optimal Multi-Crop Pattern Planning," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(4), pages 1139-1155, March.
    4. Mohammad Ebrahim Banihabib & Mahmoud Mohammad Rezapour Tabari & Mohsen Mohammad Rezapour Tabari, 2019. "Development of a Fuzzy Multi-Objective Heuristic Model for Optimum Water Allocation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(11), pages 3673-3689, September.
    5. Yousefi, Maryam & Banihabib, Mohammad Ebrahim & Soltani, Jaber & Roozbahani, Abbas, 2018. "Multi-objective particle swarm optimization model for conjunctive use of treated wastewater and groundwater," Agricultural Water Management, Elsevier, vol. 208(C), pages 224-231.
    6. Mohammad Ebrahim Banihabib & Mohammad Hadi Shabestari, 2017. "Fuzzy Hybrid MCDM Model for Ranking the Agricultural Water Demand Management Strategies in Arid Areas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 495-513, January.
    7. Li, X.M. & Lu, H.W. & Li, J. & Du, P. & Xu, M. & He, L., 2015. "A modified fuzzy credibility constrained programming approach for agricultural water resources management—A case study in Urumqi, China," Agricultural Water Management, Elsevier, vol. 156(C), pages 79-89.
    8. Hamid Safavi & Mahdieh Esmikhani, 2013. "Conjunctive Use of Surface Water and Groundwater: Application of Support Vector Machines (SVMs) and Genetic Algorithms," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2623-2644, May.
    9. Dawson, C.J. & Hilton, J., 2011. "Fertiliser availability in a resource-limited world: Production and recycling of nitrogen and phosphorus," Food Policy, Elsevier, vol. 36(S1), pages 14-22.
    10. Mehrabi, Ahmad & Heidarpour, Manouchehr & Safavi, Hamid R. & Rezaei, Farshad, 2021. "Assessment of the optimized scenarios for economic-environmental conjunctive water use utilizing gravitational search algorithm," Agricultural Water Management, Elsevier, vol. 246(C).
    11. S. Hashemy Shahdany & J. Maestre & P. van Overloop, 2015. "Equitable Water Distribution in Main Irrigation Canals with Constrained Water Supply," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3315-3328, July.
    12. Hashemy Shahdany, S. Mehdy & Firoozfar, Alireza & Maestre, J.M. & Mallakpour, Iman & Taghvaeian, Saleh & Karimi, Poolad, 2018. "Operational performance improvements in irrigation canals to overcome groundwater overexploitation," Agricultural Water Management, Elsevier, vol. 204(C), pages 234-246.
    13. Amir Hatamkhani & Ali Moridi, 2019. "Multi-Objective Optimization of Hydropower and Agricultural Development at River Basin Scale," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(13), pages 4431-4450, 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. Saeid Akbarifard & Mohamad Reza Madadi & Mohammad Zounemat-Kermani, 2024. "An artificial intelligence-based model for optimal conjunctive operation of surface and groundwater resources," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

    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. Ami Reznik & Ariel Dinar, 2022. "Local conditions and the economic feasibility of urban wastewater recycling in irrigated agriculture: Lessons from a stochastic regional analysis in California," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(4), pages 2115-2130, December.
    2. Mehrabi, Ahmad & Heidarpour, Manouchehr & Safavi, Hamid R. & Rezaei, Farshad, 2021. "Assessment of the optimized scenarios for economic-environmental conjunctive water use utilizing gravitational search algorithm," Agricultural Water Management, Elsevier, vol. 246(C).
    3. Israel Finkelshtain & Iddo Kan & Mickey Rapaport‐Rom, 2020. "Substitutability of Freshwater and Non‐Freshwater Sources in Irrigation: an Econometric Analysis," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1105-1134, August.
    4. Reznik, Ami & Feinerman, Eli & Finkelshtain, Israel & Fisher, Franklin & Huber-Lee, Annette & Joyce, Brian & Kan, Iddo, 2017. "Economic implications of agricultural reuse of treated wastewater in Israel: A statewide long-term perspective," Ecological Economics, Elsevier, vol. 135(C), pages 222-233.
    5. Zahra Kayhomayoon & Sami Ghordoyee Milan & Naser Arya Azar & Pete Bettinger & Faezeh Babaian & Abolfazl Jaafari, 2022. "A Simulation-Optimization Modeling Approach for Conjunctive Water Use Management in a Semi-Arid Region of Iran," Sustainability, MDPI, vol. 14(5), pages 1-20, February.
    6. Dániel Fróna & János Szenderák & Mónika Harangi-Rákos, 2019. "The Challenge of Feeding the World," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    7. Meyer-Aurich, Andreas & Karatay, Yusuf Nadi, 2019. "Effects of uncertainty and farmers' risk aversion on optimal N fertilizer supply in wheat production in Germany," Agricultural Systems, Elsevier, vol. 173(C), pages 130-139.
    8. Michael Barrowclough & L. Geyer, 2015. "Biofuel Policies: The Underground Limitation on Biofuels," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 21(1), pages 55-65, March.
    9. Dmitrieva, D. & Ilinova, A. & Kraslawski, A., 2017. "Strategic management of the potash industry in Russia," Resources Policy, Elsevier, vol. 52(C), pages 81-89.
    10. Peter Horton & Steve A. Banwart & Dan Brockington & Garrett W. Brown & Richard Bruce & Duncan Cameron & Michelle Holdsworth & S. C. Lenny Koh & Jurriaan Ton & Peter Jackson, 2017. "An agenda for integrated system-wide interdisciplinary agri-food research," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(2), pages 195-210, April.
    11. Hans-Peter Weikard, 2016. "Phosphorus recycling and food security in the long run: a conceptual modelling approach," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(2), pages 405-414, April.
    12. Reijnders, L., 2014. "Phosphorus resources, their depletion and conservation, a review," Resources, Conservation & Recycling, Elsevier, vol. 93(C), pages 32-49.
    13. Paul J. A. Withers & Colin Neal & Helen P. Jarvie & Donnacha G. Doody, 2014. "Agriculture and Eutrophication: Where Do We Go from Here?," Sustainability, MDPI, vol. 6(9), pages 1-23, September.
    14. Mariusz Z. Gusiatin & Dorota Kulikowska & Katarzyna Bernat, 2024. "Municipal Sewage Sludge as a Resource in the Circular Economy," Energies, MDPI, vol. 17(11), pages 1-25, May.
    15. Shuangxi Li & Zhaohui Zhang & Juanqin Zhang & Xianqing Zheng & Hanlin Zhang & Haiyun Zhang & Yue Zhang & Naling Bai & Weiguang Lv, 2022. "Using Mathematical Models to Study the Influences of Different Ratios of Chemical Nitrogen, Phosphorus, and Potassium on the Content of Soluble Protein, Vitamin C, and Soluble Sugar in Melon," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    16. Olagunju, Kehinde Oluseyi & Feng, Siyi & Patton, Myles, 2021. "Dynamic relationships among phosphate rock, fertilisers and agricultural commodity markets: Evidence from a vector error correction model and Directed Acyclic Graphs," Resources Policy, Elsevier, vol. 74(C).
    17. Chowdhury, Rubel Biswas & Moore, Graham A. & Weatherley, Anthony J. & Arora, Meenakshi, 2014. "A review of recent substance flow analyses of phosphorus to identify priority management areas at different geographical scales," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 213-228.
    18. Hassani, Yousef & Hashemy Shahdany, Seied Mehdy & Maestre, J.M. & Zahraie, Banafsheh & Ghorbani, Mohammad & Henneberry, Shida Rastegari & Kulshreshtha, Suren N., 2019. "An economic-operational framework for optimum agricultural water distribution in irrigation districts without water marketing," Agricultural Water Management, Elsevier, vol. 221(C), pages 348-361.
    19. Avargani, Habib Karimi & Hashemy Shahdany, S. Mehdy & Kamrani, Kazem & Maestre, Jose, M. & Hashemi Garmdareh, S. Ebrahim & Liaghat, Abdolmajid, 2022. "Prioritization of surface water distribution in irrigation districts to mitigate crop yield reduction during water scarcity," Agricultural Water Management, Elsevier, vol. 269(C).
    20. Aleksandra Dimitrijević & Marija Gavrilović & Sanjin Ivanović & Zoran Mileusnić & Rajko Miodragović & Saša Todorović, 2020. "Energy Use and Economic Analysis of Fertilizer Use in Wheat and Sugar Beet Production in Serbia," Energies, MDPI, vol. 13(9), pages 1-12, May.

    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:256:y:2021:i:c:s0378377421003929. 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.