IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v256y2021ics0378377421003681.html
   My bibliography  Save this article

A robust water-food-land nexus optimization model for sustainable agricultural development in the Yangtze River Basin

Author

Listed:
  • Yao, Liming
  • Li, Yalan
  • Chen, Xudong

Abstract

Stable and sustainable grain production is an important guarantee for national security, economic development and social stability. Water and land are essential resources in irrigated agricultural systems. There is intricate relationship in Water, land and food nexus with large uncertainties involved therein. Sustainable agricultural development requires effective and coordinated management of the water-food-land nexus. This paper developed a robust optimization model to optimize the allocation of limited resources and maximize irrigation water productivity in water-food-land nexus system. The proposed optimization model fully considers the system uncertainties to assist decision-makers in developing more effective water and land resource allocation plans. The model is demonstrated to solve a real-world nexus management problem in the Yangtze River basin. The results show that the robust optimization method can solve the uncertainty disturbance and meet the target requirements, thus verifying the effectiveness and feasibility of the model in water-food-land nexus system. The model could be applied to similar river basins that have limited resources.

Suggested Citation

  • Yao, Liming & Li, Yalan & Chen, Xudong, 2021. "A robust water-food-land nexus optimization model for sustainable agricultural development in the Yangtze River Basin," Agricultural Water Management, Elsevier, vol. 256(C).
    • Handle: RePEc:eee:agiwat:v:256:y:2021:i:c:s0378377421003681
    DOI: 10.1016/j.agwat.2021.107103
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377421003681
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2021.107103?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. 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. Pereira, Luis S. & Cordery, Ian & Iacovides, Iacovos, 2012. "Improved indicators of water use performance and productivity for sustainable water conservation and saving," Agricultural Water Management, Elsevier, vol. 108(C), pages 39-51.
    3. Maqsood, Imran & Huang, Guo H. & Scott Yeomans, Julian, 2005. "An interval-parameter fuzzy two-stage stochastic program for water resources management under uncertainty," European Journal of Operational Research, Elsevier, vol. 167(1), pages 208-225, November.
    4. Dimitris Bertsimas & Melvyn Sim, 2004. "The Price of Robustness," Operations Research, INFORMS, vol. 52(1), pages 35-53, February.
    5. Min Chen & Songhao Shang & Wei Li, 2020. "Integrated Modeling Approach for Sustainable Land-Water-Food Nexus Management," Agriculture, MDPI, vol. 10(4), pages 1-19, April.
    6. Seckler, D., 1996. "The new era of water resources management: from \dry\ to \wet\ water savings," IWMI Research Reports H018206, International Water Management Institute.
    7. Sun, J. & Li, Y.P. & Suo, C. & Liu, Y.R., 2019. "Impacts of irrigation efficiency on agricultural water-land nexus system management under multiple uncertainties—A case study in Amu Darya River basin, Central Asia," Agricultural Water Management, Elsevier, vol. 216(C), pages 76-88.
    8. Lee, Seung Oh & Jung, Younghun, 2018. "Efficiency of water use and its implications for a water-food nexus in the Aral Sea Basin," Agricultural Water Management, Elsevier, vol. 207(C), pages 80-90.
    9. 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.
    10. 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.
    11. Bluemling, Bettina & Yang, Hong & Pahl-Wostl, Claudia, 2007. "Making water productivity operational--A concept of agricultural water productivity exemplified at a wheat-maize cropping pattern in the North China plain," Agricultural Water Management, Elsevier, vol. 91(1-3), pages 11-23, July.
    12. Yaltaghian Khiabani, M. & Hashamy Shahadany, S.M. & Maestre, J.M. & Stepanian, R. & Mallakpour, I., 2020. "Potential assessment of non-automatic and automatic modernization alternatives for the improvement of water distribution supplied by surface-water resources: A case study in Iran," Agricultural Water Management, Elsevier, vol. 230(C).
    13. D. Morankar & K. Srinivasa Raju & D. Nagesh Kumar, 2013. "Integrated Sustainable Irrigation Planning with Multiobjective Fuzzy Optimization Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(11), pages 3981-4004, September.
    14. Sun, J. & Li, Y.P. & Suo, C. & Liu, J., 2020. "Development of an uncertain water-food-energy nexus model for pursuing sustainable agricultural and electric productions," Agricultural Water Management, Elsevier, vol. 241(C).
    15. A. Ben-Tal & A. Nemirovski, 1998. "Robust Convex Optimization," Mathematics of Operations Research, INFORMS, vol. 23(4), pages 769-805, November.
    16. Klümper, Frederike & Theesfeld, Insa, 2017. "The land-water-food nexus: expanding the social-ecological system framework to link land and water governance," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 6(3), pages 1-16.
    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. Li, Ruishi & Zhao, Rongqin & Xie, Zhixiang & Xiao, Liangang & Chuai, Xiaowei & Feng, Mengyu & Zhang, Huifang & Luo, Huili, 2022. "Water–energy–carbon nexus at campus scale: Case of North China University of Water Resources and Electric Power," Energy Policy, Elsevier, vol. 166(C).
    2. Geng, Jinqiang & Huo, Qingqing & Jia, Shanshan, 2023. "Parasitic Behavior and Separation Countermeasures in Large-scale Farming: Insights from Shijiazhuang, China," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 4(4), October.
    3. Hassan, Wasim & Manzoor, Talha & Muhammad, Abubakr, 2023. "Improving equity in demand-driven irrigation systems through a rights-preserving water allocation mechanism," Agricultural Water Management, Elsevier, vol. 287(C).
    4. Ru, Wenchao & Zhang, Liangliang & Liu, Dong & Sun, Nan & Li, Mo & Faiz, Muhammad Abrar & Li, Tianxiao & Cui, Song & Khan, Muhammad Imran, 2024. "New approach for regional water-energy-food nexus security assessment: Enhancing the random forest model with the aquila optimizer algorithm," Agricultural Water Management, Elsevier, vol. 301(C).
    5. Ren, Hourui & Liu, Bin & Zhang, Zirui & Li, Fuxin & Pan, Ke & Zhou, Zhongli & Xu, Xiaoshuang, 2022. "A water-energy-food-carbon nexus optimization model for sustainable agricultural development in the Yellow River Basin under uncertainty," Applied Energy, Elsevier, vol. 326(C).
    6. Linlin Zhao & Rensheng Chen & Yong Yang & Guohua Liu & Xiqiang Wang, 2023. "Spatiotemporal Changes in Water Storage and Its Driving Factors in the Three-River Headwaters Region, Qinghai–Tibet Plateau," Land, MDPI, vol. 12(10), pages 1-19, October.
    7. Sintayehu Legesse Gebre & Jos Van Orshoven & Dirk Cattrysse, 2023. "Optimizing the Combined Allocation of Land and Water to Agriculture in the Omo-Gibe River Basin Considering the Water-Energy-Food-Nexus and Environmental Constraints," Land, MDPI, vol. 12(2), pages 1-37, 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. Jolfan, Mohsen Hosseini & Hashemy Shahdany, S. Mehdy & Javadi, Saman & Milan, Sami Ghordoyee & Neshat, Aminreza & Berndtsson, Ronny & Tork, Hamed, 2023. "Modernization in agricultural water distribution system for aquifer storage and recovery – A case study," Agricultural Water Management, Elsevier, vol. 282(C).
    2. Afsaneh Kaghazchi & Seied Mehdy Hashemy Shahdany & Alireza Firoozfar, 2022. "Prioritization of agricultural water distribution operating systems based on the sustainable development indicators," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(1), pages 23-40, February.
    3. Barkhordari, Soroush & Hashemy Shahdany, Seied Mehdy, 2021. "Developing a smart operating system for fairly distribution of irrigation water, based on social, economic, and environmental considerations," Agricultural Water Management, Elsevier, vol. 250(C).
    4. 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).
    5. Giordano, Meredith & Turral, H. & Scheierling, S. M. & Treguer, D. O. & McCornick, Peter G, 2017. "Beyond “More Crop per Drop”: evolving thinking on agricultural water productivity," IWMI Research Reports 257962, International Water Management Institute.
    6. Wenqing Chen & Melvyn Sim & Jie Sun & Chung-Piaw Teo, 2010. "From CVaR to Uncertainty Set: Implications in Joint Chance-Constrained Optimization," Operations Research, INFORMS, vol. 58(2), pages 470-485, April.
    7. Stefan Mišković, 2017. "A VNS-LP algorithm for the robust dynamic maximal covering location problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(4), pages 1011-1033, October.
    8. Chassein, André & Dokka, Trivikram & Goerigk, Marc, 2019. "Algorithms and uncertainty sets for data-driven robust shortest path problems," European Journal of Operational Research, Elsevier, vol. 274(2), pages 671-686.
    9. Beck, Yasmine & Ljubić, Ivana & Schmidt, Martin, 2023. "A survey on bilevel optimization under uncertainty," European Journal of Operational Research, Elsevier, vol. 311(2), pages 401-426.
    10. Antonio G. Martín & Manuel Díaz-Madroñero & Josefa Mula, 2020. "Master production schedule using robust optimization approaches in an automobile second-tier supplier," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(1), pages 143-166, March.
    11. Hamed Mamani & Shima Nassiri & Michael R. Wagner, 2017. "Closed-Form Solutions for Robust Inventory Management," Management Science, INFORMS, vol. 63(5), pages 1625-1643, May.
    12. Steve Zymler & Daniel Kuhn & Berç Rustem, 2013. "Worst-Case Value at Risk of Nonlinear Portfolios," Management Science, INFORMS, vol. 59(1), pages 172-188, July.
    13. Shunichi Ohmori, 2021. "A Predictive Prescription Using Minimum Volume k -Nearest Neighbor Enclosing Ellipsoid and Robust Optimization," Mathematics, MDPI, vol. 9(2), pages 1-16, January.
    14. Roberto Gomes de Mattos & Fabricio Oliveira & Adriana Leiras & Abdon Baptista de Paula Filho & Paulo Gonçalves, 2019. "Robust optimization of the insecticide-treated bed nets procurement and distribution planning under uncertainty for malaria prevention and control," Annals of Operations Research, Springer, vol. 283(1), pages 1045-1078, December.
    15. Wang, Xiaohan & Chen, Xiqun (Michael) & Xie, Chi & Cheong, Taesu, 2024. "Coordinative dispatching of shared and public transportation under passenger flow outburst," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
    16. L. Jeff Hong & Zhiyuan Huang & Henry Lam, 2021. "Learning-Based Robust Optimization: Procedures and Statistical Guarantees," Management Science, INFORMS, vol. 67(6), pages 3447-3467, June.
    17. Soyster, A.L. & Murphy, F.H., 2013. "A unifying framework for duality and modeling in robust linear programs," Omega, Elsevier, vol. 41(6), pages 984-997.
    18. F. Davarian & J. Behnamian, 2022. "Robust finite-horizon scheduling/rescheduling of operating rooms with elective and emergency surgeries under resource constraints," Journal of Scheduling, Springer, vol. 25(6), pages 625-641, December.
    19. Corina Birghila & Tim J. Boonen & Mario Ghossoub, 2023. "Optimal insurance under maxmin expected utility," Finance and Stochastics, Springer, vol. 27(2), pages 467-501, April.
    20. Fanwen Meng & Jin Qi & Meilin Zhang & James Ang & Singfat Chu & Melvyn Sim, 2015. "A Robust Optimization Model for Managing Elective Admission in a Public Hospital," Operations Research, INFORMS, vol. 63(6), pages 1452-1467, 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:eee:agiwat:v:256:y:2021:i:c:s0378377421003681. 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.