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Parametric Assessment of Water Use Vulnerability Variations Using SWAT and Fuzzy TOPSIS Coupled with Entropy

Author

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  • Kwangjai Won

    (Department of Civil Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul 01811, Korea)

  • Eun-Sung Chung

    (Department of Civil Engineering, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Seoul 01811, Korea)

  • Sung-Uk Choi

    (Department of Civil and Environmental Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Korea)

Abstract

This study assessed the water use vulnerability to include the uncertainty of the weighting values of evaluation criteria and the annual variations of performance values using fuzzy TOPSIS coupled with the Shannon entropy method. This procedure was applied to 12 major basins covering about 88% territory of South Korea. Hydrological components were simulated using Soil and Water Assessment Tool (SWAT) of which parameters were optimally calibrated using SWAT-CUP model. The 15 indicators including hydrological and anthropogenic factors were selected, based on three aspects of climate exposure, sensitivity and adaptive capacity. Their weighting values were objectively quantified using the Entropy method. All performance values of 12 basins obtained from statistic Korea and SWAT simulation were normalized with the consideration of the annual variations from 1991 to 2014 using triangular fuzzy numbers (TFNs). Then, Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) technique was used to quantify the water use vulnerability and rank 12 basins as follows: A12 (Hyeongsan River) > A6 (Seomjin River) > A5 (Youngsan River) > A8 (Mangyung River) > A2 (Ansung River) > A9 (Dongjin River) > A10 (Nakdong River) > A3 (Geum River) > A4 (Sapgyo River) > A11 (Taehwa River) > A7 (Tamjin River) > A1 (Han River). This framework can be used to determine the spatial priority for sustainable water resources plan and applied to derive the climate change vulnerability on sustainable water resources.

Suggested Citation

  • Kwangjai Won & Eun-Sung Chung & Sung-Uk Choi, 2015. "Parametric Assessment of Water Use Vulnerability Variations Using SWAT and Fuzzy TOPSIS Coupled with Entropy," Sustainability, MDPI, vol. 7(9), pages 1-19, August.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:9:p:12052-12070:d:55097
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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. Amin Afshar & Miguel Mariño & Motahareh Saadatpour & Abbas Afshar, 2011. "Fuzzy TOPSIS Multi-Criteria Decision Analysis Applied to Karun Reservoirs System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(2), pages 545-563, January.
    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. Sang Ug Kim & Minwoo Son & Eun-Sung Chung & Xiao Yu, 2018. "Effects of Non-Stationarity on Flood Frequency Analysis: Case Study of the Cheongmicheon Watershed in South Korea," Sustainability, MDPI, vol. 10(5), pages 1-16, April.
    2. Fuli Zhou & Yun Lin & Xu Wang & Lin Zhou & Yandong He, 2016. "ELV Recycling Service Provider Selection Using the Hybrid MCDM Method: A Case Application in China," Sustainability, MDPI, vol. 8(5), pages 1-22, May.
    3. Daeryong Park & Huan-Jung Fan & Jun-Jie Zhu & Taesoon Kim & Myoung-Jin Um & Siyeon Kim & Seol Jeon & Kichul Jung, 2021. "Prioritization in Strategic Environmental Assessment Using Fuzzy TOPSIS Method with Random Generation for Absent Information in South Korea," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    4. Fausto Cavallaro & Edmundas Kazimieras Zavadskas & Saulius Raslanas, 2016. "Evaluation of Combined Heat and Power (CHP) Systems Using Fuzzy Shannon Entropy and Fuzzy TOPSIS," Sustainability, MDPI, vol. 8(6), pages 1-21, June.
    5. Huiru Zhao & Nana Li, 2016. "Performance Evaluation for Sustainability of Strong Smart Grid by Using Stochastic AHP and Fuzzy TOPSIS Methods," Sustainability, MDPI, vol. 8(2), pages 1-22, January.
    6. Jae Yeol Song & Eun-Sung Chung, 2016. "Robustness, Uncertainty and Sensitivity Analyses of the TOPSIS Method for Quantitative Climate Change Vulnerability: a Case Study of Flood Damage," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4751-4771, October.

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