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Integration of SWAT, SDSM, AHP, and TOPSIS to detect flood-prone areas

Author

Listed:
  • Mehdi Karami

    (Isfahan University of Technology)

  • Jahangir Abedi Koupai

    (Isfahan University of Technology)

  • Seyed Alireza Gohari

    (Isfahan University of Technology)

Abstract

Flood is one of the most frightening dangers in the world, which can cause a lot of human and financial losses. In this study, an attempt has been made to create a flood risk map with higher accuracy by using the combination of SWAT, SDSM, AHP, and TOPSIS models. The flood risk map helps to identify areas that have flood potential. Managers and officials can control and reduce human and financial losses caused by floods by using such maps and adopting correct policies. In this study, using the SWAT and SDSM models, the future runoff of the Kashkan basin of Lorestan Province in Iran was simulated for the period from 2049 to 2073. Simulated runoff with different return periods of 2, 5, 10, 25, 50, and 100 years was investigated. According to the obtained results, RCP2.6 was introduced as the most dangerous scenario of this watershed with a runoff forecast of 7715 cubic meters per second. With the help of the obtained flood risk map, sub-basins 22, 24, 28, and 32 representing Khorram Abad and Poldakhter cities were introduced as flood-prone areas of the study area. The simulation of the precipitation, maximum and minimum temperature of the studied basin in the period from 2006 to 2100 showed that the maximum and minimum temperatures can get warmer by 1.3–3 C, and 1 to 2 C can get colder. On the other hand, the rainfall of the entire basin will be able to decrease between 54 and 120 mm. The methods used in this study can also be used to detect flood-prone areas for other parts of the world that have been exposed to sudden floods due to climate change. Graphical abstract

Suggested Citation

  • 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.
    • Handle: RePEc:spr:nathaz:v:120:y:2024:i:7:d:10.1007_s11069-024-06483-7
    DOI: 10.1007/s11069-024-06483-7
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    References listed on IDEAS

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    1. S. Jonkman, 2005. "Global Perspectives on Loss of Human Life Caused by Floods," 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. 34(2), pages 151-175, February.
    2. Yukiko Hirabayashi & Roobavannan Mahendran & Sujan Koirala & Lisako Konoshima & Dai Yamazaki & Satoshi Watanabe & Hyungjun Kim & Shinjiro Kanae, 2013. "Global flood risk under climate change," Nature Climate Change, Nature, vol. 3(9), pages 816-821, September.
    3. 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.
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