IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v267y2022ics0378377422001548.html
   My bibliography  Save this article

Evaluating water-energy-food system of Yellow River basin based on type-2 fuzzy sets and Pressure-State-Response model

Author

Listed:
  • Gu, Donglin
  • Guo, Jiahang
  • Fan, Yurui
  • Zuo, Qiting
  • Yu, Lei

Abstract

Water, energy and food security are the prerequisites for coping with intensified climate change, and also the guarantee for sustaining socio-economic development. This study aims to establish a “Pressure-State-Response” (PSR) model to evaluate the water-energy-food (WEF) system security and clarify the main factors affecting WEF development, system state and social response. In addition, the interval type-2 fuzzy sets and analytic hierarchy process are incorporated to address uncertainty in the importance weights of quantitative indicators. Scenario design, Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) and Combinative Distance-based Asssessment (CODAS) methods are also adopted to carry out quantitative calculation and explore the key constraints of WEF system security in the nine provinces of the Yellow River basin from 2006 to 2019. Results show that the WEF system security in each province has been improved in 2006–2019 under different scenarios. In detail, the pressure of WEF system is decreasing in Gansu, Ningxia, and Shanxi province, which is due to the decrease in waste water emissions per person and energy consumption per unit of GDP. The state of WEF system in various provinces has also been improved year by year. The response of WEF system is increasing in all provinces except Shanxi. There is obvious spatial-temporal heterogeneity in different provinces, but the regional gaps are narrowing. These findings cannot only reflect the multi-element relationship from both human activities and environmental changes, but also deal with uncertain in WEF assessment system. The obtained results can provide scientific basis for decision-makers to formulate relevant policies and measures.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:agiwat:v:267:y:2022:i:c:s0378377422001548
    DOI: 10.1016/j.agwat.2022.107607
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377422001548
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2022.107607?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. Deveci, Muhammet & Cali, Umit & Kucuksari, Sadik & Erdogan, Nuh, 2020. "Interval type-2 fuzzy sets based multi-criteria decision-making model for offshore wind farm development in Ireland," Energy, Elsevier, vol. 198(C).
    2. Yuan, Mei-Hua & Lo, Shang-Lien, 2020. "Ecosystem services and sustainable development: Perspectives f1 rom the food-energy-water Nexus," Ecosystem Services, Elsevier, vol. 46(C).
    3. Parvin Golfam & Parisa-Sadat Ashofteh & Taher Rajaee & Xuefeng Chu, 2019. "Prioritization of Water Allocation for Adaptation to Climate Change Using Multi-Criteria Decision Making (MCDM)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(10), pages 3401-3416, August.
    4. Ren, Jingzheng, 2018. "Sustainability prioritization of energy storage technologies for promoting the development of renewable energy: A novel intuitionistic fuzzy combinative distance-based assessment approach," Renewable Energy, Elsevier, vol. 121(C), pages 666-676.
    5. 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).
    6. Mehdi KESHAVARZ GHORABAEE & Edmundas Kazimieras ZAVADSKAS & Zenonas TURSKIS & Jurgita ANTUCHEVICIENE, 2016. "A New Combinative Distance-Based Assessment(Codas) Method For Multi-Criteria Decision-Making," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 25-44.
    7. Wei, Xintong & Qiu, Rui & Liang, Yongtu & Liao, Qi & Klemeš, Jiří Jaromír & Xue, Jinjun & Zhang, Haoran, 2022. "Roadmap to carbon emissions neutral industrial parks: Energy, economic and environmental analysis," Energy, Elsevier, vol. 238(PA).
    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. Xiuli Liu & Rui Xiong & Pibin Guo & Lei Nie & Qinqin Shi & Wentao Li & Jing Cui, 2022. "Virtual Water Flow Pattern in the Yellow River Basin, China: An Analysis Based on a Multiregional Input–Output Model," IJERPH, MDPI, vol. 19(12), pages 1-24, June.
    2. Xinyue Ke & Ni Wang & Long Yu & Zihan Guo & Tianming He, 2023. "Spatial Distribution of Water Risk Based on Atlas Compilation in the Shaanxi Section of the Qinling Mountains, China," Sustainability, MDPI, vol. 15(12), pages 1-21, June.
    3. Qiangyi Li & Lan Yang & Fangxin Jiang & Yangqing Liu & Chenyang Guo & Shuya Han, 2022. "Distribution Characteristics, Regional Differences and Spatial Convergence of the Water-Energy-Land-Food Nexus: A Case Study of China," Land, MDPI, vol. 11(9), pages 1-28, September.

    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. Xiaotong Qie & Rui Zhang & Yanyong Hu & Xialing Sun & Xue Chen, 2021. "A Multi-Criteria Decision-Making Approach for Energy Storage Technology Selection Based on Demand," Energies, MDPI, vol. 14(20), pages 1-29, October.
    2. Tej Singh & Amit Aherwar & Lalit Ranakoti & Prabhakar Bhandari & Vedant Singh & László Lendvai, 2023. "Performance Optimization of Lignocellulosic Fiber-Reinforced Brake Friction Composite Materials Using an Integrated CRITIC-CODAS-Based Decision-Making Approach," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    3. Baumann, Manuel & Weil, Marcel & Peters, Jens F. & Chibeles-Martins, Nelson & Moniz, Antonio B., 2019. "A review of multi-criteria decision making approaches for evaluating energy storage systems for grid applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 516-534.
    4. Liu, Xinglei & Liu, Jun & Ren, Kezheng & Liu, Xiaoming & Liu, Jiacheng, 2022. "An integrated fuzzy multi-energy transaction evaluation approach for energy internet markets considering judgement credibility and variable rough precision," Energy, Elsevier, vol. 261(PB).
    5. Davis-Sramek, Beth & Robinson, Jessica L. & Darby, Jessica L. & Thomas, Rodney W., 2020. "Exploring the differential roles of environmental and social sustainability in carrier selection decisions," International Journal of Production Economics, Elsevier, vol. 227(C).
    6. Zhang, Zhonglian & Yang, Xiaohui & Li, Moxuan & Deng, Fuwei & Xiao, Riying & Mei, Linghao & Hu, Zecheng, 2023. "Optimal configuration of improved dynamic carbon neutral energy systems based on hybrid energy storage and market incentives," Energy, Elsevier, vol. 284(C).
    7. Qiu, Rui & Zhang, Haoran & Wang, Guotao & Liang, Yongtu & Yan, Jinyue, 2023. "Green hydrogen-based energy storage service via power-to-gas technologies integrated with multi-energy microgrid," Applied Energy, Elsevier, vol. 350(C).
    8. Dawei Feng & Wenchao Xu & Xinyu Gao & Yun Yang & Shirui Feng & Xiaohu Yang & Hailong Li, 2023. "Carbon Emission Prediction and the Reduction Pathway in Industrial Parks: A Scenario Analysis Based on the Integration of the LEAP Model with LMDI Decomposition," Energies, MDPI, vol. 16(21), pages 1-15, October.
    9. Amir Homayoun Sarfaraz & Amir Karbassi Yazdi & Thomas Hanne & Peter Fernandes Wanke & Raheleh Sadat Hosseini, 2023. "Assessing repair and maintenance efficiency for water suppliers: a novel hybrid USBM-FIS framework," Operations Management Research, Springer, vol. 16(3), pages 1321-1342, September.
    10. Yuancheng Lin & Honghua Yang & Linwei Ma & Zheng Li & Weidou Ni, 2021. "Low-Carbon Development for the Iron and Steel Industry in China and the World: Status Quo, Future Vision, and Key Actions," Sustainability, MDPI, vol. 13(22), pages 1-28, November.
    11. Shi, Mengshu & Wang, Weiye & Han, Yaxuan & Huang, Yuansheng, 2022. "Research on comprehensive benefit of hydrogen storage in microgrid system," Renewable Energy, Elsevier, vol. 194(C), pages 621-635.
    12. Ahmed, Fawad & Zhu, Shunmin & Yu, Guoyao & Luo, Ercang, 2022. "A potent numerical model coupled with multi-objective NSGA-II algorithm for the optimal design of Stirling engine," Energy, Elsevier, vol. 247(C).
    13. Olatunji A. Shobande & Simplice A. Asongu, 2021. "The rise and fall of the energy-carbon Kuznets curve: Evidence from Africa," Working Papers 21/069, European Xtramile Centre of African Studies (EXCAS).
    14. Aleksandar Aleksić & Danijela Tadić, 2023. "Industrial and Management Applications of Type-2 Multi-Attribute Decision-Making Techniques Extended with Type-2 Fuzzy Sets from 2013 to 2022," Mathematics, MDPI, vol. 11(10), pages 1-24, May.
    15. Seul-gi Lee & Bashir Adelodun & Mirza Junaid Ahmad & Kyung Sook Choi, 2022. "Multi-Level Prioritization Analysis of Water Governance Components to Improve Agricultural Water-Saving Policy: A Case Study from Korea," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    16. Bartłomiej Kizielewicz & Jarosław Wątróbski & Wojciech Sałabun, 2020. "Identification of Relevant Criteria Set in the MCDA Process—Wind Farm Location Case Study," Energies, MDPI, vol. 13(24), pages 1-40, December.
    17. Seyed Morteza Hatefi & Hamideh Asadi & Gholamreza Shams & Jolanta Tamošaitienė & Zenonas Turskis, 2021. "Model for the Sustainable Material Selection by Applying Integrated Dempster-Shafer Evidence Theory and Additive Ratio Assessment (ARAS) Method," Sustainability, MDPI, vol. 13(18), pages 1-23, September.
    18. Dounia El Bourakadi & Hiba Ramadan & Ali Yahyaouy & Jaouad Boumhidi, 2023. "A robust energy management approach in two-steps ahead using deep learning BiLSTM prediction model and type-2 fuzzy decision-making controller," Fuzzy Optimization and Decision Making, Springer, vol. 22(4), pages 645-667, December.
    19. Lu, Zhiming & Gao, Yan & Xu, Chuanbo, 2021. "Evaluation of energy management system for regional integrated energy system under interval type-2 hesitant fuzzy environment," Energy, Elsevier, vol. 222(C).
    20. Ridha, Hussein Mohammed & Gomes, Chandima & Hizam, Hashim & Ahmadipour, Masoud & Heidari, Ali Asghar & Chen, Huiling, 2021. "Multi-objective optimization and multi-criteria decision-making methods for optimal design of standalone photovoltaic system: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).

    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:267:y:2022:i:c:s0378377422001548. 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.