IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v262y2022ics0378377421006004.html
   My bibliography  Save this article

Synergetic management of water-energy-food nexus system and GHG emissions under multiple uncertainties: An inexact fractional fuzzy chance constraint programming method

Author

Listed:
  • Xu, Ye
  • Tan, Junyuan
  • Wang, Xu
  • Li, Wei
  • He, Xing
  • Hu, Xiaoguang
  • Fan, Yurui

Abstract

Management of water-food-energy nexus (WEFN) is of great importance to achieve the Sustainable Development Goals. The development of WEFN management strategies is challenged by extensive uncertainties in different system components. Also, agricultural activities would contribute a large portion of the total GHG emissions in many countries, which are affecting the promised carbon neutrality in future. In this study, an inexact fractional fuzzy chance constraint programming method was developed towards planning the water-food-energy nexus system under consideration of both uncertainties and greenhouse gases (GHG) emission. An inexact fractional fuzzy chance constraint programming-based water-energy-food nexus (IFFCCP-WEFN) model has been established under consideration of various restrictions and GHG emissions. Solutions of the planting areas for different crops in different periods have been generated. These results imply that the corn cultivation would be prioritized to satisfy cereal demand due to its relatively lower GHG emission intensity. But the residual resources, after satisfying cereal demand, would tend to be allocated to vegetable planting. Comparison has been conducted among the IFFCCP-WEFN model and WEFN models based the inexact fuzzy chance constraint programming approach with and without GHG emissions. The results indicate that, the results from IFFCCP-WEFN model would achieve a highest unit benefit and lowest total GHG emissions. The total GHG emissions can be 11% less at most than GHG emissions from the resulting crop structures of the other two comparable models. Consequently, the developed IFFCCP-WEFN model can help decision-makers identify the desirable planting structure for crops with a priority of low GHG emission rate. The major contributions in this study include (i) the inexact fractional fuzzy chance constraint programming method to deal with interval and fuzzy parameters, reflect decision makers’ preferences and handle conflicts among contradictory objectives, (ii) the IFFCCP-WEFN model to achieve a maximized unit benefit with respect GHG emissions

Suggested Citation

  • 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).
    • Handle: RePEc:eee:agiwat:v:262:y:2022:i:c:s0378377421006004
    DOI: 10.1016/j.agwat.2021.107323
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377421006004
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2021.107323?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. Maity, K. & Maiti, M., 2007. "Possibility and necessity constraints and their defuzzification--A multi-item production-inventory scenario via optimal control theory," European Journal of Operational Research, Elsevier, vol. 177(2), pages 882-896, March.
    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. Yu, L. & Xiao, Y. & Jiang, S. & Li, Y.P. & Fan, Y.R. & Huang, G.H. & Lv, J. & Zuo, Q.T. & Wang, F.Q., 2020. "A copula-based fuzzy interval-random programming approach for planning water-energy nexus system under uncertainty," Energy, Elsevier, vol. 196(C).
    4. Zhu, H. & Huang, W.W. & Huang, G.H., 2014. "Planning of regional energy systems: An inexact mixed-integer fractional programming model," Applied Energy, Elsevier, vol. 113(C), pages 500-514.
    5. Owen, Anne & Scott, Kate & Barrett, John, 2018. "Identifying critical supply chains and final products: An input-output approach to exploring the energy-water-food nexus," Applied Energy, Elsevier, vol. 210(C), pages 632-642.
    6. Jacek Buko & Jarosław Duda & Adam Makowski, 2021. "Food Production Security in Times of a Long-Term Energy Shortage Crisis: The Example of Poland," Energies, MDPI, vol. 14(16), pages 1-12, August.
    7. Schneider, Uwe A. & Kumar, Pushpam, 2008. "Greenhouse Gas Mitigation through Agriculture," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 23(1), pages 1-5.
    8. Uwe A. Schneider & Pete Smith, 2008. "Greenhouse Gas Emission Mitigation and Emission Intensities in Agriculture," Working Papers FNU-164, Research unit Sustainability and Global Change, Hamburg University, revised Jul 2008.
    9. Zhang, Fan & Zhang, Chenglong & Yan, Zehao & Guo, Shanshan & Wang, Youzhi & Guo, Ping, 2018. "An interval nonlinear multiobjective programming model with fuzzy-interval credibility constraint for crop monthly water allocation," Agricultural Water Management, Elsevier, vol. 209(C), pages 123-133.
    10. Lv, J. & Li, Y.P. & Shan, B.G. & Jin, S.W. & Suo, C., 2018. "Planning energy-water nexus system under multiple uncertainties – A case study of Hebei province," Applied Energy, Elsevier, vol. 229(C), pages 389-403.
    11. Bieber, Niclas & Ker, Jen Ho & Wang, Xiaonan & Triantafyllidis, Charalampos & van Dam, Koen H. & Koppelaar, Rembrandt H.E.M. & Shah, Nilay, 2018. "Sustainable planning of the energy-water-food nexus using decision making tools," Energy Policy, Elsevier, vol. 113(C), pages 584-607.
    12. Tsolas, Spyridon D. & Karim, M. Nazmul & Hasan, M.M. Faruque, 2018. "Optimization of water-energy nexus: A network representation-based graphical approach," Applied Energy, Elsevier, vol. 224(C), pages 230-250.
    13. Yu, L. & Li, Y.P. & Huang, G.H., 2019. "Planning municipal-scale mixed energy system for stimulating renewable energy under multiple uncertainties - The City of Qingdao in Shandong Province, China," Energy, Elsevier, vol. 166(C), pages 1120-1133.
    14. Pushpam Kumar & Uwe A. Schneider, 2008. "Greenhouse gas emission mitigation through agriculture," Working Papers FNU-155, Research unit Sustainability and Global Change, Hamburg University, revised Feb 2008.
    15. Shang, Yizi & Hei, Pengfei & Lu, Shibao & Shang, Ling & Li, Xiaofei & Wei, Yongping & Jia, Dongdong & Jiang, Dong & Ye, Yuntao & Gong, Jiaguo & Lei, Xiaohui & Hao, Mengmeng & Qiu, Yaqin & Liu, Jiahong, 2018. "China’s energy-water nexus: Assessing water conservation synergies of the total coal consumption cap strategy until 2050," Applied Energy, Elsevier, vol. 210(C), pages 643-660.
    16. 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).
    17. 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).
    18. Yu, L. & Li, Y.P. & Huang, G.H. & Fan, Y.R. & Yin, S., 2018. "Planning regional-scale electric power systems under uncertainty: A case study of Jing-Jin-Ji region, China," Applied Energy, Elsevier, vol. 212(C), pages 834-849.
    19. Zhang, Fan & Guo, Shanshan & Liu, Xiao & Wang, Youzhi & Engel, Bernard A. & Guo, Ping, 2020. "Towards sustainable water management in an arid agricultural region: A multi-level multi-objective stochastic approach," Agricultural Systems, Elsevier, vol. 182(C).
    20. Jiuping Xu & Xiaoyang Zhou & Steven Li, 2011. "A Class of Chance Constrained Multi-objective Portfolio Selection Model Under Fuzzy Random Environment," Journal of Optimization Theory and Applications, Springer, vol. 150(3), pages 530-552, September.
    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. Licheng Fang & Pangpang Gao & Shuguang Wang & Zhenhao Ma, 2023. "Coupling Fuzzy Bi-Level Chance Constraint Programming and Spatial Analysis for Urban Ecological Management," Land, MDPI, vol. 12(4), pages 1-25, April.
    2. 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).

    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. Wang, Chong & Gao, Zhenzhen & Zhao, Jiongchao & Feng, Yupeng & Laraib, Iqra & Shang, Mengfei & Wang, Kaicheng & Chen, Fu & Chu, Qingquan, 2022. "Irrigation-induced hydrothermal variation affects greenhouse gas emissions and crop production," Agricultural Water Management, Elsevier, vol. 260(C).
    3. Huarui Gong & Jing Li & Zhen Liu & Yitao Zhang & Ruixing Hou & Zhu Ouyang, 2022. "Mitigated Greenhouse Gas Emissions in Cropping Systems by Organic Fertilizer and Tillage Management," Land, MDPI, vol. 11(7), pages 1-18, July.
    4. Oliver Lazarus & Sonali McDermid & Jennifer Jacquet, 2021. "The climate responsibilities of industrial meat and dairy producers," Climatic Change, Springer, vol. 165(1), pages 1-21, March.
    5. David Bryngelsson & Fredrik Hedenus & Daniel J. A. Johansson & Christian Azar & Stefan Wirsenius, 2017. "How Do Dietary Choices Influence the Energy-System Cost of Stabilizing the Climate?," Energies, MDPI, vol. 10(2), pages 1-13, February.
    6. Telmo José Mendes & Diego Silva Siqueira & Eduardo Barretto Figueiredo & Ricardo de Oliveira Bordonal & Mara Regina Moitinho & José Marques Júnior & Newton La Scala Jr., 2021. "Soil carbon stock estimations: methods and a case study of the Maranhão State, Brazil," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16410-16427, November.
    7. Ancuta Isbasoiu & Pierre-Alain Jayet & Stéphane De Cara, 2021. "Increasing food production and mitigating agricultural greenhouse gas emissions in the European Union: impacts of carbon pricing and calorie production targeting," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 23(2), pages 409-440, April.
    8. Connor, Melanie & de Guia, Annalyn H. & Quilloy, Reianne & Van Nguyen, Hung & Gummert, Martin & Sander, Bjoern Ole, 2020. "When climate change is not psychologically distant – Factors influencing the acceptance of sustainable farming practices in the Mekong river Delta of Vietnam," World Development Perspectives, Elsevier, vol. 18(C).
    9. Franco-Luesma, Samuel & Álvaro-Fuentes, Jorge & Plaza-Bonilla, Daniel & Arrúe, José Luis & Cantero-Martínez, Carlos & Cavero, José, 2019. "Influence of irrigation time and frequency on greenhouse gas emissions in a solid-set sprinkler-irrigated maize under Mediterranean conditions," Agricultural Water Management, Elsevier, vol. 221(C), pages 303-311.
    10. Anna Kocira & Mariola Staniak & Marzena Tomaszewska & Rafał Kornas & Jacek Cymerman & Katarzyna Panasiewicz & Halina Lipińska, 2020. "Legume Cover Crops as One of the Elements of Strategic Weed Management and Soil Quality Improvement. A Review," Agriculture, MDPI, vol. 10(9), pages 1-41, September.
    11. Kerstin Jantke & Martina J. Hartmann & Livia Rasche & Benjamin Blanz & Uwe A. Schneider, 2020. "Agricultural Greenhouse Gas Emissions: Knowledge and Positions of German Farmers," Land, MDPI, vol. 9(5), pages 1-13, April.
    12. Kathrin Hasler & Hans-Werner Olfs & Onno Omta & Stefanie Bröring, 2016. "Drivers for the Adoption of Eco-Innovations in the German Fertilizer Supply Chain," Sustainability, MDPI, vol. 8(8), pages 1-18, July.
    13. Miomir Jovanović & Ljiljana Kašćelan & Aleksandra Despotović & Vladimir Kašćelan, 2015. "The Impact of Agro-Economic Factors on GHG Emissions: Evidence from European Developing and Advanced Economies," Sustainability, MDPI, vol. 7(12), pages 1-21, December.
    14. Maraseni, Tek Narayan & Cockfield, Geoff, 2015. "The financial implications of converting farmland to state-supported environmental plantings in the Darling Downs region, Queensland," Agricultural Systems, Elsevier, vol. 135(C), pages 57-65.
    15. Zhao, Rongqin & Liu, Ying & Tian, Mengmeng & Ding, Minglei & Cao, Lianhai & Zhang, Zhanping & Chuai, Xiaowei & Xiao, Liangang & Yao, Lunguang, 2018. "Impacts of water and land resources exploitation on agricultural carbon emissions: The water-land-energy-carbon nexus," Land Use Policy, Elsevier, vol. 72(C), pages 480-492.
    16. Wang, Wen, 2015. "Intégrer l'agriculture dans les politiques d'atténuation chinoises," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/14999 edited by Perthuis, Christian de.
    17. Isabel Teichmann, 2015. "An Economic Assessment of Soil Carbon Sequestration with Biochar in Germany," Discussion Papers of DIW Berlin 1476, DIW Berlin, German Institute for Economic Research.
    18. Cao, R. & Huang, G.H. & Chen, J.P. & Li, Y.P. & He, C.Y., 2021. "A chance-constrained urban agglomeration energy model for cooperative carbon emission management," Energy, Elsevier, vol. 223(C).
    19. Dritan Osmani, "undated". "A note on optimal transfer schemes, stable coalition for environmental protection and joint maximization assumption," Working Papers FNU-176, Research unit Sustainability and Global Change, Hamburg University.
    20. Ágota Horel & Eszter Tóth & Györgyi Gelybó & Márton Dencső & Imre Potyó, 2018. "Soil CO 2 and N 2 O Emission Drivers in a Vineyard ( Vitis vinifera ) under Different Soil Management Systems and Amendments," Sustainability, MDPI, vol. 10(6), pages 1-15, 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:262:y:2022:i:c:s0378377421006004. 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.