IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v253y2021ics0378377421001724.html
   My bibliography  Save this article

Optimization of uncertain agricultural management considering the framework of water, energy and food

Author

Listed:
  • Zuo, Qiting
  • Wu, Qingsong
  • Yu, Lei
  • Li, Yongping
  • Fan, Yurui

Abstract

Synergetic development of water, energy and food is prerequisite for coping with issues of increment of global population, deterioration of ecological environment and aggravation of climate change. This study aims to develop a scenario-based type-2 fuzzy interval programming (STFIP) approach for planning agricultural water, energy and food (WEF) as well as crop area management. Uncertainties presented as interval numbers, scenarios and fuzzy sets as well as the dual uncertainties (i.e. interval-scenario and type-2 fuzzy interval) can be effectively tackled by the STFIP method. Then, a STFIP-WEFN model is developed and applied to maximize net agricultural profit with integrated management of productive resources for Henan Province, China. Solutions of different water resources, diverse energy resources and multiple agricultural crops in association with various water supply structures between current situation and future policy orientation are examined. Results disclose that: over the entire planning horizon, a) the total planting area of crops can increase from [129.3, 133.6] × 103 km2 to [132.0, 135.6] × 103 km2 by optimizing resources allocation; b) uncertainties existing in the WEFN system can lead to a change rate of the system benefit by 16.93%; c) the total planting area can increase by [4.00, 6.05] % when the groundwater ratio changes from 40% to 55%. These findings can help effectively optimize the existing planting structure and coordinate the development of Henan Province among water, energy, food, economy, society and environment.

Suggested Citation

  • Zuo, Qiting & Wu, Qingsong & Yu, Lei & Li, Yongping & Fan, Yurui, 2021. "Optimization of uncertain agricultural management considering the framework of water, energy and food," Agricultural Water Management, Elsevier, vol. 253(C).
    • Handle: RePEc:eee:agiwat:v:253:y:2021:i:c:s0378377421001724
    DOI: 10.1016/j.agwat.2021.106907
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377421001724
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2021.106907?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. Niu, Geng & Zheng, Yi & Han, Feng & Qin, Huapeng, 2019. "The nexus of water, ecosystems and agriculture in arid areas: A multiobjective optimization study on system efficiencies," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    2. Fernández, J.E. & Alcon, F. & Diaz-Espejo, A. & Hernandez-Santana, V. & Cuevas, M.V., 2020. "Water use indicators and economic analysis for on-farm irrigation decision: A case study of a super high density olive tree orchard," Agricultural Water Management, Elsevier, vol. 237(C).
    3. Egea, Gregorio & Fernández, José E. & Alcon, Francisco, 2017. "Financial assessment of adopting irrigation technology for plant-based regulated deficit irrigation scheduling in super high-density olive orchards," Agricultural Water Management, Elsevier, vol. 187(C), pages 47-56.
    4. Thomas L. Tidwell, 2016. "Nexus between food, energy, water, and forest ecosystems in the USA," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 6(1), pages 214-224, March.
    5. Ricart, Sandra & Rico, Antonio M., 2019. "Assessing technical and social driving factors of water reuse in agriculture: A review on risks, regulation and the yuck factor," Agricultural Water Management, Elsevier, vol. 217(C), pages 426-439.
    6. Yang, Y.C. Ethan & Wi, Sungwook, 2018. "Informing regional water-energy-food nexus with system analysis and interactive visualization – A case study in the Great Ruaha River of Tanzania," Agricultural Water Management, Elsevier, vol. 196(C), pages 75-86.
    7. Zeng, X.T. & Zhang, J.L. & Yu, L. & Zhu, J.X. & Li, Z. & Tang, L., 2019. "A sustainable water-food-energy plan to confront climatic and socioeconomic changes using simulation-optimization approach," Applied Energy, Elsevier, vol. 236(C), pages 743-759.
    8. Li, Mo & Fu, Qiang & Singh, Vijay P. & Liu, Dong, 2018. "An interval multi-objective programming model for irrigation water allocation under uncertainty," Agricultural Water Management, Elsevier, vol. 196(C), pages 24-36.
    9. Alcon, Francisco & Marín-Miñano, Cristina & Zabala, José A. & de-Miguel, María-Dolores & Martínez-Paz, José M., 2020. "Valuing diversification benefits through intercropping in Mediterranean agroecosystems: A choice experiment approach," Ecological Economics, Elsevier, vol. 171(C).
    10. Tang, Yikuan & Zhang, Fan & Wang, Sufen & Zhang, Xiaodong & Guo, Shanshan & Guo, Ping, 2019. "A distributed interval nonlinear multiobjective programming approach for optimal irrigation water management in an arid area," Agricultural Water Management, Elsevier, vol. 220(C), pages 13-26.
    11. Zhang, Tong & Tan, Qian & Yu, Xiaoning & Zhang, Shan, 2020. "Synergy assessment and optimization for water-energy-food nexus: Modeling and application," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    12. 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.
    13. Singh, Ajay & Panda, Sudhindra Nath, 2012. "Development and application of an optimization model for the maximization of net agricultural return," Agricultural Water Management, Elsevier, vol. 115(C), pages 267-275.
    14. 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.
    15. George B. Dantzig, 1955. "Linear Programming under Uncertainty," Management Science, INFORMS, vol. 1(3-4), pages 197-206, 04-07.
    16. Amjath-Babu, T.S. & Sharma, Bikash & Brouwer, Roy & Rasul, Golam & Wahid, Shahriar M. & Neupane, Nilhari & Bhattarai, Utsav & Sieber, Stefan, 2019. "Integrated modelling of the impacts of hydropower projects on the water-food-energy nexus in a transboundary Himalayan river basin," Applied Energy, Elsevier, vol. 239(C), pages 494-503.
    17. Sadeghi, Seyed Hamidreza & Sharifi Moghadam, Ehsan & Delavar, Majid & Zarghami, Mahdi, 2020. "Application of water-energy-food nexus approach for designating optimal agricultural management pattern at a watershed scale," Agricultural Water Management, Elsevier, vol. 233(C).
    18. Ji, Ling & Zhang, Bei-Bei & Huang, Guo-He & Xie, Yu-Lei & Niu, Dong-Xiao, 2018. "Explicit cost-risk tradeoff for optimal energy management in CCHP microgrid system under fuzzy-risk preferences," Energy Economics, Elsevier, vol. 70(C), pages 525-535.
    19. Hoolohan, Claire & McLachlan, Carly & Larkin, Alice, 2019. "‘Aha’ moments in the water-energy-food nexus: A new morphological scenario method to accelerate sustainable transformation," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    20. Chen, Shu & Xu, Jijun & Li, Qingqing & Tan, Xuezhi & Nong, Xizhi, 2019. "A copula-based interval-bistochastic programming method for regional water allocation under uncertainty," Agricultural Water Management, Elsevier, vol. 217(C), pages 154-164.
    21. Mercure, J.-F. & Paim, M.A. & Bocquillon, P. & Lindner, S. & Salas, P. & Martinelli, P. & Berchin, I.I. & de Andrade Guerra, J.B.S.O & Derani, C. & de Albuquerque Junior, C.L. & Ribeiro, J.M.P. & Knob, 2019. "System complexity and policy integration challenges: The Brazilian Energy- Water-Food Nexus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 230-243.
    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. Huang, Shanshan & Suo, Cai & Guo, Junhong & Lv, Jing & Jing, Rui & Yu, Lei & Fan, Yurui & Ding, Yanming, 2023. "Balancing the water-energy dilemma in nexus system planning with bi-level and multi-uncertainty," Energy, Elsevier, vol. 278(C).
    2. Huang, Wenhuan & Wang, Hailong, 2021. "Drought and intensified agriculture enhanced vegetation growth in the central Pearl River Basin of China," Agricultural Water Management, Elsevier, vol. 256(C).
    3. Yue, Qiong & Guo, Ping & Wu, Hui & Wang, Youzhi & Zhang, Chenglong, 2022. "Towards sustainable circular agriculture: An integrated optimization framework for crop-livestock-biogas-crop recycling system management under uncertainty," Agricultural Systems, Elsevier, vol. 196(C).
    4. Zhang, Zepeng & Wang, Qingzheng & Guan, Qingyu & Xiao, Xiong & Mi, Jimin & Lv, Songjian, 2023. "Research on the optimal allocation of agricultural water and soil resources in the Heihe River Basin based on SWAT and intelligent optimization," Agricultural Water Management, Elsevier, vol. 279(C).
    5. Xu, Ye & Tan, Junyuan & Wang, Xu & Li, Wei & He, Xing & Hu, Xiaoguang & Fan, Yurui, 2022. "Synergetic management of water-energy-food nexus system and GHG emissions under multiple uncertainties: An inexact fractional fuzzy chance constraint programming method," Agricultural Water Management, Elsevier, vol. 262(C).
    6. Gu, Donglin & Guo, Jiahang & Fan, Yurui & Zuo, Qiting & Yu, Lei, 2022. "Evaluating water-energy-food system of Yellow River basin based on type-2 fuzzy sets and Pressure-State-Response model," Agricultural Water Management, Elsevier, vol. 267(C).
    7. Wang, Yu & Lu, Yanli & Xu, Ye & Zheng, Lijun & Fan, Yurui, 2023. "A factorial inexact copula stochastic programming (FICSP) approach for water-energy- food nexus system management," Agricultural Water Management, Elsevier, vol. 277(C).
    8. Feng, Meiqing & Chen, Yaning & Duan, Weili & Fang, Gonghuan & li, Zhi & Jiao, Li & Sun, Fan & Li, Yupeng & Hou, Yifeng, 2022. "Comprehensive evaluation of the water-energy-food nexus in the agricultural management of the Tarim River Basin, Northwest China," Agricultural Water Management, Elsevier, vol. 271(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. Wang, Yu & Lu, Yanli & Xu, Ye & Zheng, Lijun & Fan, Yurui, 2023. "A factorial inexact copula stochastic programming (FICSP) approach for water-energy- food nexus system management," Agricultural Water Management, Elsevier, vol. 277(C).
    2. 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.
    3. Cabezas, J.M. & Ruiz-Ramos, M. & Soriano, M.A. & Santos, C. & Gabaldón-Leal, C. & Lorite, I.J., 2021. "Impact of climate change on economic components of Mediterranean olive orchards," Agricultural Water Management, Elsevier, vol. 248(C).
    4. Li, Mo & Cao, Xiaoxu & Liu, Dong & Fu, Qiang & Li, Tianxiao & Shang, Ruochen, 2022. "Sustainable management of agricultural water and land resources under changing climate and socio-economic conditions: A multi-dimensional optimization approach," Agricultural Water Management, Elsevier, vol. 259(C).
    5. Xu, Ye & Tan, Junyuan & Wang, Xu & Li, Wei & He, Xing & Hu, Xiaoguang & Fan, Yurui, 2022. "Synergetic management of water-energy-food nexus system and GHG emissions under multiple uncertainties: An inexact fractional fuzzy chance constraint programming method," Agricultural Water Management, Elsevier, vol. 262(C).
    6. Bernardo Martin-Gorriz & José A. Zabala & Virginia Sánchez-Navarro & Belén Gallego-Elvira & Víctor Martínez-García & Francisco Alcon & José Francisco Maestre-Valero, 2022. "Intercropping Practices in Mediterranean Mandarin Orchards from an Environmental and Economic Perspective," Agriculture, MDPI, vol. 12(5), pages 1-17, April.
    7. Zhang, Tianyuan & Tan, Qian & Wang, Shuping & Zhang, Tong & Hu, Kejia & Zhang, Shan, 2022. "Assessment and management of composite risk in irrigated agriculture under water-food-energy nexus and uncertainty," Agricultural Water Management, Elsevier, vol. 262(C).
    8. Zhou, Yanlai & Chang, Fi-John & Chang, Li-Chiu & Lee, Wei-De & Huang, Angela & Xu, Chong-Yu & Guo, Shenglian, 2020. "An advanced complementary scheme of floating photovoltaic and hydropower generation flourishing water-food-energy nexus synergies," Applied Energy, Elsevier, vol. 275(C).
    9. Hua, En & Wang, Xinyu & Engel, Bernie A. & Qian, Haiyang & Sun, Shikun & Wang, Yubao, 2021. "Water competition mechanism of food and energy industries in WEF Nexus: A case study in China," Agricultural Water Management, Elsevier, vol. 254(C).
    10. Tayerani Charmchi, Amir Saman & Ifaei, Pouya & Yoo, ChangKyoo, 2021. "Smart supply-side management of optimal hydro reservoirs using the water/energy nexus concept: A hydropower pinch analysis," Applied Energy, Elsevier, vol. 281(C).
    11. Cássia Juliana Fernandes Torres & Camilla Hellen Peixoto de Lima & Bárbara Suzart de Almeida Goodwin & Terencio Rebello de Aguiar Junior & Andrea Sousa Fontes & Daniel Veras Ribeiro & Rodrigo Saldanha, 2019. "A Literature Review to Propose a Systematic Procedure to Develop “Nexus Thinking” Considering the Water–Energy–Food Nexus," Sustainability, MDPI, vol. 11(24), pages 1-32, December.
    12. Zhang, Zepeng & Wang, Qingzheng & Guan, Qingyu & Xiao, Xiong & Mi, Jimin & Lv, Songjian, 2023. "Research on the optimal allocation of agricultural water and soil resources in the Heihe River Basin based on SWAT and intelligent optimization," Agricultural Water Management, Elsevier, vol. 279(C).
    13. Reza Sepahvand & Hamid R. Safavi & Farshad Rezaei, 2019. "Multi-Objective Planning for Conjunctive Use of Surface and Ground Water Resources Using Genetic Programming," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 2123-2137, April.
    14. Jain, Sonal & Ramesh, Dharavath & Trivedi, Munesh C. & Edla, Damodar Reddy, 2023. "Evaluation of metaheuristic optimization algorithms for optimal allocation of surface water and groundwater resources for crop production," Agricultural Water Management, Elsevier, vol. 279(C).
    15. 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.
    16. Cao, Zhaodan & Zhu, Tingju & Cai, Ximing, 2023. "Hydro-agro-economic optimization for irrigated farming in an arid region: The Hetao Irrigation District, Inner Mongolia," Agricultural Water Management, Elsevier, vol. 277(C).
    17. Arbizu-Milagro, Julia & Castillo-Ruiz, Francisco J. & Tascón, Alberto & Peña, Jose M., 2023. "Effects of regulated, precision and continuous deficit irrigation on the growth and productivity of a young super high-density olive orchard," Agricultural Water Management, Elsevier, vol. 286(C).
    18. Michael Freimer & Jeffrey Linderoth & Douglas Thomas, 2012. "The impact of sampling methods on bias and variance in stochastic linear programs," Computational Optimization and Applications, Springer, vol. 51(1), pages 51-75, January.
    19. Bolinches, Antonio & Blanco-Gutiérrez, Irene & Zubelzu, Sergio & Esteve, Paloma & Gómez-Ramos, Almudena, 2022. "A method for the prioritization of water reuse projects in agriculture irrigation," Agricultural Water Management, Elsevier, vol. 263(C).
    20. Aghayi, Nazila & Maleki, Bentolhoda, 2016. "Efficiency measurement of DMUs with undesirable outputs under uncertainty based on the directional distance function: Application on bank industry," Energy, Elsevier, vol. 112(C), pages 376-387.

    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:253:y:2021:i:c:s0378377421001724. 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.