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Regional Water Resources Security Evaluation Based on a Hybrid Fuzzy BWM-TOPSIS Method

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Listed:
  • Yan Tu

    (School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China)

  • Kai Chen

    (School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China)

  • Huayi Wang

    (School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China)

  • Zongmin Li

    (School of Business, Sichuan University, Chengdu 610065, China)

Abstract

Nowadays, water resource security is becoming increasingly prominent, and this problem is a primary bottleneck restricting China’s future sustainable development. It is difficult to come to a unified conclusion on water resources security, and applications of highly feasible evaluation methods are lacking in practice. In this paper, a novel evaluation methodology is proposed for regional water resources security evaluation. First, water security is divided into two aspects: water quantity security and water quality security. The disposal rate of harmless household garbage, the excellent water resources proportion, and the functional water body loss proportion are creatively considered as indicators of water quality security in the evaluation system. In addition, a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is used to evaluate the water security levels in different regions. For distinguishing the importance of different indicators, a Best–Worst Method (BWM) is employed to calculate the indicator weights, as triangular fuzzy linguistic sets can more flexibly describe the preferences of decision makers (DMs) regarding the indicators; therefore, it is embedded in BWM to determine indicator weights. Moreover, the fuzzy BWM-TOPSIS method is applied to evaluate the water security levels of six regions in North China, a comparison analysis with the equal weight TOPSIS method as well as the fuzzy BWM-AHP method, and a sensitivity analysis for indicator weights are presented to illustrate the effectiveness of this proposed method. Finally, some suggestions based on the evaluation results are given for effective and rational utilization of water resources in North China.

Suggested Citation

  • Yan Tu & Kai Chen & Huayi Wang & Zongmin Li, 2020. "Regional Water Resources Security Evaluation Based on a Hybrid Fuzzy BWM-TOPSIS Method," IJERPH, MDPI, vol. 17(14), pages 1-24, July.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:14:p:4987-:d:383012
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    as
    1. Xiao-jun Wang & Jian-yun Zhang & Juan Gao & Shamsuddin Shahid & Xing-hui Xia & Zhi Geng & Li Tang, 2018. "The new concept of water resources management in China: ensuring water security in changing environment," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(2), pages 897-909, April.
    2. Saraswat, Chitresh & Kumar, Pankaj & Mishra, Binaya Kumar, 2016. "Assessment of stormwater runoff management practices and governance under climate change and urbanization: An analysis of Bangkok, Hanoi and Tokyo," Environmental Science & Policy, Elsevier, vol. 64(C), pages 101-117.
    3. U. Pascal Onu & Quan Xie & Ling Xu, 2017. "A Fuzzy TOPSIS model Framework for Ranking Sustainable Water Supply Alternatives," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(9), pages 2579-2593, July.
    4. Kaize Zhang & Juqin Shen & Ran He & Bihang Fan & Han Han, 2019. "Dynamic Analysis of the Coupling Coordination Relationship between Urbanization and Water Resource Security and Its Obstacle Factor," IJERPH, MDPI, vol. 16(23), pages 1-16, November.
    5. Peipei You & Sen Guo & Haoran Zhao & Huiru Zhao, 2017. "Operation Performance Evaluation of Power Grid Enterprise Using a Hybrid BWM-TOPSIS Method," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
    6. Christopher Kanyesigye & Sara J. Marks & Juliet Nakanjako & Frank Kansiime & Giuliana Ferrero, 2019. "Status of Water Safety Plan Development and Implementation in Uganda," IJERPH, MDPI, vol. 16(21), pages 1-17, October.
    7. Yuangang Li & Maohua Sun & Guanghui Yuan & Yujing Liu, 2019. "Evaluation Methods of Water Environment Safety and Their Application to the Three Northeast Provinces of China," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
    8. Parneet Paul & Ameena Kulaib Al Tenaiji & Nuhu Braimah, 2016. "A Review of the Water and Energy Sectors and the Use of a Nexus Approach in Abu Dhabi," IJERPH, MDPI, vol. 13(4), pages 1-15, March.
    9. Gu, Shuzhong & Jenkins, Alan & Gao, Shi-Ji & Lu, Yonglong & Li, Hong & Li, Yuanyuan & Ferrier, Robert C. & Bailey, Mark & Wang, Yiwen & Zhang, Yuan & Qi, Xuebin & Yu, Lili & Ding, Liuqian & Daniell, T, 2017. "Ensuring water resource security in China; the need for advances in evidence-based policy to support sustainable management," Environmental Science & Policy, Elsevier, vol. 75(C), pages 65-69.
    10. Rezaei, Jafar, 2016. "Best-worst multi-criteria decision-making method: Some properties and a linear model," Omega, Elsevier, vol. 64(C), pages 126-130.
    11. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    12. Edmund C. Merem & Sudha Yerramilli & Yaw A. Twumasi & Joan M. Wesley & Bennetta Robinson & Chandra Richardson, 2011. "The Applications of GIS in the Analysis of the Impacts of Human Activities on South Texas Watersheds," IJERPH, MDPI, vol. 8(6), pages 1-29, June.
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    1. Yuanhuan Zheng & Chunxue Yu & Huabin Zhou & Jiannan Xiao, 2021. "Spatial Variations and Influencing Factors of River Networks in River Basins of China," IJERPH, MDPI, vol. 18(22), pages 1-14, November.
    2. Xiaoyan Zhang & Juqin Shen & Fuhua Sun & Shou Wang & Shuxuan Zhang & Jian Chen, 2022. "Allocation of Flood Drainage Rights in Watershed Using a Hybrid FBWM-Grey-TOPSIS Method: A Case Study of the Jiangsu Section of the Sunan Canal, China," IJERPH, MDPI, vol. 19(13), pages 1-22, July.

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