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Multi-Criteria Assessment of Spatial Robust Water Resource Vulnerability Using the TOPSIS Method Coupled with Objective and Subjective Weights in the Han River Basin

Author

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  • Eun-Sung Chung

    (Department of Civil Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea)

  • Patricia Jitta Abdulai

    (Department of Civil Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea)

  • Hyesun Park

    (Department of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Korea)

  • Yeonjoo Kim

    (Department of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Korea)

  • So Ra Ahn

    (Department of Civil, Environmental and Plant Engineering, Konkuk University, Seoul 05029, Korea)

  • Seong Joon Kim

    (Department of Civil, Environmental and Plant Engineering, Konkuk University, Seoul 05029, Korea)

Abstract

This study developed a multi-criteria approach to spatially assess the robust water resource vulnerability in sub-basins and applied it to the Han River basin. The Intergovernmental Panel on Climate Change (IPCC) suggested three factors of vulnerability; namely, exposure, sensitivity and adaptive capacity were used in this study with respect to water quantity and quality. In this study, 16 water quantity indicators and 13 water quality indicators were selected to identify the vulnerability using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. Environmental and socioeconomic data were obtained from the national statistics database, and hydrological data were simulated using the calibrated Soil and Water Assessment Tool (SWAT) model. Expert surveys and Shannon entropy method were used to determine subjective and objective weights for all indicators, individually. As a result, water quantity-vulnerable sub-basins were associated with high water use and water leakage ratios. Water quality-vulnerable sub-basins were associated with relatively high values of maximum consecutive dry days and heatwave days. The water quantity indices of both weighting methods showed relatively similar spatial distributions, while the distribution of water quality indices was distinct. These results suggest that considering different weighting methods is important for assessing the robust water resource vulnerability of sub-basins.

Suggested Citation

  • Eun-Sung Chung & Patricia Jitta Abdulai & Hyesun Park & Yeonjoo Kim & So Ra Ahn & Seong Joon Kim, 2016. "Multi-Criteria Assessment of Spatial Robust Water Resource Vulnerability Using the TOPSIS Method Coupled with Objective and Subjective Weights in the Han River Basin," Sustainability, MDPI, vol. 9(1), pages 1-17, December.
    • Handle: RePEc:gam:jsusta:v:9:y:2016:i:1:p:29-:d:86231
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    References listed on IDEAS

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    1. Yeonjoo Kim & Eun-Sung Chung, 2013. "Assessing climate change vulnerability with group multi-criteria decision making approaches," Climatic Change, Springer, vol. 121(2), pages 301-315, November.
    2. Mohamed Hamouda & Mohamed Nour El-Din & Fawzia Moursy, 2009. "Vulnerability Assessment of Water Resources Systems in the Eastern Nile Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(13), pages 2697-2725, October.
    3. Eun-Sung Chung & Kil Lee, 2009. "Identification of Spatial Ranking of Hydrological Vulnerability Using Multi-Criteria Decision Making Techniques: Case Study of Korea," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(12), pages 2395-2416, September.
    4. Eun-Sung Chung & Kwangjae Won & Yeonjoo Kim & Hosun Lee, 2014. "Water Resource Vulnerability Characteristics by District’s Population Size in a Changing Climate Using Subjective and Objective Weights," Sustainability, MDPI, vol. 6(9), pages 1-17, September.
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    Cited by:

    1. Mehdi Karami & Jahangir Abedi Koupai & Seyed Alireza Gohari, 2024. "Integration of SWAT, SDSM, AHP, and TOPSIS to detect flood-prone areas," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(7), pages 6307-6325, May.
    2. 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.
    3. Yufeng He & Mingtao Ding & Hao Zheng & Zemin Gao & Tao Huang & Yu Duan & Xingjie Cui & Siyuan Luo, 2023. "Integrating development inhomogeneity into geological disasters risk assessment framework in mountainous areas: a case study in Lushan–Baoxing counties, Southwestern China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(3), pages 3203-3229, July.
    4. Priscila Celebrini de Oliveira Campos & Tainá da Silva Rocha Paz & Letícia Lenz & Yangzi Qiu & Camila Nascimento Alves & Ana Paula Roem Simoni & José Carlos Cesar Amorim & Gilson Brito Alves Lima & Ma, 2020. "Multi-Criteria Decision Method for Sustainable Watercourse Management in Urban Areas," Sustainability, MDPI, vol. 12(16), pages 1-22, August.
    5. Dereje Birhanu & Hyeonjun Kim & Cheolhee Jang & Sanghyun Park, 2018. "Does the Complexity of Evapotranspiration and Hydrological Models Enhance Robustness?," Sustainability, MDPI, vol. 10(8), pages 1-34, August.

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