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Spatial Assessment of Urban Flood Susceptibility Using Data Mining and Geographic Information System (GIS) Tools

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  • Sunmin Lee

    (Center for Environmental Assessment Monitoring, Environmental Assessment Group, Korea Environment Institute (KEI), 370 Sicheong-Daero, Sejong 30147, Korea
    Department of Geoinformatics, University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul 02504, Korea)

  • Saro Lee

    (Geological Research Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), 124 Gwahak-ro, Yuseong-gu, Daejeon 34132, Korea
    Geophysical Exploration, Korea University of Science and Technology, 217 Gajeong-ro, Yuseong-gu, Daejeon 34113, Korea)

  • Moung-Jin Lee

    (Center for Environmental Assessment Monitoring, Environmental Assessment Group, Korea Environment Institute (KEI), 370 Sicheong-Daero, Sejong 30147, Korea)

  • Hyung-Sup Jung

    (Department of Geoinformatics, University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul 02504, Korea)

Abstract

Using geographic information system (GIS) tools and data-mining models, this study analyzed the relationships between flood areas and correlated hydrological factors to map the regional flood susceptibility of the Seoul metropolitan area in South Korea. We created a spatial database of data describing factors including topography, geology, soil, and land use. We used 2010 flood data for training and 2011 data for model validation. Frequency ratio (FR) and logistic regression (LR) models were applied to 2010 flood data to determine the relationships between the flooded area and its causal factors and to derive flood-susceptibility maps, which were substantiated using the area flooded in 2011 (not used for training). As a result of the accuracy validation, FR and LR model results were shown to have 79.61% and 79.05% accuracy, respectively. In terms of sustainability, floods affect water health as well as causing economic and social damage. These maps will provide useful information to decision makers for the implementation of flood-mitigation policies in priority areas in urban sustainable development and for flood prevention and management. In addition to this study, further analysis including data on economic and social activities, proximity to nature, and data on population and building density, will make it possible to improve sustainability.

Suggested Citation

  • Sunmin Lee & Saro Lee & Moung-Jin Lee & Hyung-Sup Jung, 2018. "Spatial Assessment of Urban Flood Susceptibility Using Data Mining and Geographic Information System (GIS) Tools," Sustainability, MDPI, vol. 10(3), pages 1-19, February.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:3:p:648-:d:134058
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    References listed on IDEAS

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    1. Hyomin Kim & Dong-Kun Lee & Sunyong Sung, 2016. "Effect of Urban Green Spaces and Flooded Area Type on Flooding Probability," Sustainability, MDPI, vol. 8(2), pages 1-17, January.
    2. Michalis Diakakis, 2011. "A method for flood hazard mapping based on basin morphometry: application in two catchments in Greece," 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. 56(3), pages 803-814, March.
    3. Jieun Ryu & Eun Joo Yoon & Chan Park & Dong Kun Lee & Seong Woo Jeon, 2017. "A Flood Risk Assessment Model for Companies and Criteria for Governmental Decision-Making to Minimize Hazards," Sustainability, MDPI, vol. 9(11), pages 1-26, November.
    4. Katie Jenkins & Swenja Surminski & Jim Hall & Florence Crick, 2016. "Assessing surface water flood risk and management strategies under future climate change: an agent-based model approach," GRI Working Papers 223, Grantham Research Institute on Climate Change and the Environment.
    5. Ebrahim Ahmadisharaf & Alfred J. Kalyanapu & Eun-Sung Chung, 2017. "Sustainability-Based Flood Hazard Mapping of the Swannanoa River Watershed," Sustainability, MDPI, vol. 9(10), pages 1-15, September.
    6. Omid Rahmati & Hamid Reza Pourghasemi, 2017. "Identification of Critical Flood Prone Areas in Data-Scarce and Ungauged Regions: A Comparison of Three Data Mining Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(5), pages 1473-1487, March.
    7. Octavio Rojas & María Mardones & Carolina Rojas & Carolina Martínez & Luis Flores, 2017. "Urban Growth and Flood Disasters in the Coastal River Basin of South-Central Chile (1943–2011)," Sustainability, MDPI, vol. 9(2), pages 1-21, January.
    8. Chen Cao & Peihua Xu & Yihong Wang & Jianping Chen & Lianjing Zheng & Cencen Niu, 2016. "Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas," Sustainability, MDPI, vol. 8(9), pages 1-18, September.
    9. Khabat Khosravi & Ebrahim Nohani & Edris Maroufinia & Hamid Reza Pourghasemi, 2016. "A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making techn," 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. 83(2), pages 947-987, September.
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