A Study of Physical Factors Affecting Flood Susceptibility in Khlong Nathawi Subbasin Using Multiple Logistic Regression Model
Abstract
This research aims to study the physical factors affecting flood and formulate the flood susceptibility map in Khlong Nathawi subbasin by using Multiple Logistic Regression Model. The study indicated that physical factors caused of flooding were only 6 factors: 1) slope 2) land use and cover 3) soil drainage capability 4) distance from drainage 5) stream network density and 6) road network density which were sufficient to contribute the flood susceptibility map. The results also revealed that the success rate curve and prediction rate curve were 0.9191 and 0.9323, respectively. Flood susceptibility index values were divided into five classes. The classes affecting flood susceptibility were the highest and the high range that covering 120.18 square kilometers or 7.91% of the area. According to flood susceptibility index overlay with the flood plain from 2007 to 2017 and 2018, it illustrated that the real flood events happened in the highest susceptibility range with 60.18 square kilometers (57.63%) and 20.24 square kilometers (68.58%) respectively. Keywords : physical factors, flood susceptibility, Khlong Nathawi Subbasin, Multiple Logistic RegressionReferences
Akasuwan, N., Tepsongkroh, P., & Natee, W. (2009). A Study of Determine Incidence of Flood Risk Area Factors using Geographical Information Systems and Prevention Guidelines around Western Sub-Basins Area of Songkhla Lake in Phatthalung Province. Journal of Humanities and Social Sciences, Thaksin University, 3(2), 176-199. (in Thai)
Anucharn, T. (2015). Optimal Landslide Susceptibility and Risk Analyses at Khao Phanom Bencha, Krabi Province, Thailand (Ph.D. Geoinformatics), Institute of Science Suranaree University of Technology.
Anucharn, T., & Iamchuen, N. (2017). Flood Susceptibility Map Based on Frequency Ratio Method at Songkhla Lake Basin in the Southern of Thailand. Burapha Science Journal, 22(3), 106-122. (in Thai)
Department of Water Resources. (2007). Water Resources Management Plan in Songkhla Lake Basin. Songkhla: Department of Water Resources Ministry of Natural Resources and Environment. (in Thai)
Dhanarun, S., & Amonsanguansin, J. (2010). Application of Geographic Information System for Flood Risk Area Assessment in Angthong Province. Journal of environmental management, 6(2), 19-34. (in Thai)
Eksiripong, P., & Jirakajohnkool, S. (2014). Geographic Information Systems Application for Flood Hazard Analysis, in Chiang Mai Municipality. Thai Journal of Science and Technology, 3(3), 148-159. (in Thai)
Geo-Informatics and Space Technology Development Agency. (2018). Thailand Flood Monitoring System. Retrieved January 20, 2018, from http://flood.gistda.or.th/. (in Thai)
Huberty, C. J. (1994). Applied Discriminant Analysis. New York: Wiley Interscience.
Jankaew, K. (2010). Environmental Science. Bangkok: Kasetsart University. (in Thai)
Junkhiaw, S. (2003). Flash Flood and Landslide Risk Area in Phuket Province using Geographic Information System (M.S. Watershed Management), Graduate School, Kasetsart University. (in Thai)
Khaddor, I., & Alaoui, A, H. (2014). Production of a Curve Number Map for Hydrological Simulation - Case Study: Kalaya Watershed Located in Northern Morocco. International Journal of Innovation and Applied Studies, 9(4), 1691-1699.
Kosantiae, S. (2012). Application of SCS-CN Model for Estimation Runoff at Upper Yom Watershed (M.S. Watershed and Environmental Management), Faculty of Forestry, Kasetsart University. (in Thai)
Land Development Department. (2017). Knowledge of soil for Youth. Retrieved October 6, 2017, from http://oss101.ldd.go.th/web_soils_for_youth/s_type2.htm
Masek, C, H. (2002). Adapting the SCS Method for Estimating Runoff in Shallow Water Table Environments. M.S. Thesis (Civil Engineering). University of South Florida.
Noichaisin, L. (2016). Application of GIS on Flood Risk Area Assessment in Sa Kaeo Province, Burapha Science Journal, 21(1), 51-63. (in Thai)
Office of Disaster Prevention and Mitigation, Songkhla. (2010). Summary Report of Flood Situation and Assistance (Between November 1-13, 2010) Songkhla: Office of Disaster Prevention and Mitigation, Songkhla. (in Thai)
Office of Natural Resources and Environmental Policy and Planning. (2005). A Study to Identify the Flood Risk Areas and Natural Disasters. Retrieved August 6, 2017, from http://www.onep.go.th/nrem/index.php/93-nrem-articles/coor-3-articles/127-risk-management. (in Thai)
Phuthong, P., Ruthirako, P., Sermkarndee, P., Wunbua, J., Puangkaew, N., & Anucharn S. (2015). The Flood Forecasting in Sadao Municipality, Sadao Sub-District, Sadao District, Songkhla Province, pp. 981-993. In The 6th Hatyai National and International Conference, 26 June 2013, Hatyai University, Songkhla. (in Thai)
Phutmongkhon, P., Yongsatisak, S., Jungcharoentham, N., Khampeera, A., Tongyoi, R., Bennui, A., & Yongchalermchai, C. (2007). Delineation of flood hazard areas in the Lower Eastern Area of Southern by Using Geo-informatics. Journal of Remote Sensing and GIS Association of Thailand, 8(3), 47-57.
(in Thai)
Puttinaovarat, S., Horkaew, P., & Khaimook, K. (2014). Configuring ANN for Inundation Areas Identification Based on Relevant Thematic Layers. ECTI Transactions on Computer and Information Technology, 8(1), 56-66.
Regional Irrigation Office 16. (2013). Flood Prevention and Mitigation Action Plan (rainy season), 2013. Songkhla: Songkhla Irrigation Project.
Royal Irrigation Department. (2017). Nam Plug Pling-Chana Drainage System Project in Songkhla Province. Retrieved August 1, 2017, from http://kromchol.rid.go.th/lproject/lsp11/2014/index.php/example-pages/55-2014-01-30-10-31-09. (in Thai)
Rukanee, D., & Sangchan, S. (2013). Impacts of Land Use Change and Climate Variability on Surface Runoff (A case study of Fang watershed in Chiang Mai Province). pp. 708-712. In The 14th TSAE National Conference and the 6th TSAE International Conference: TSAE 2013, 1-4 April 2013, Hua Hin Grand & Plaza Hotel, Prachuap Khiri Khan. (in Thai)
Soongsumarn, S. (2006). The Use of Geographic Information System to Study the Conditions and Causes of the Flood Impact in Ampher Prachantakham (M.S. Geographic Information System Technology), Graduate School, Mahanakorn University of Technology. (in Thai)
Thai Meteorological Department. (2017). Climate of Thailand. Retrieved August 15,2017, from https://www.tmd.go.th/info/climate_of_thailand-2524-2553.pdf
Yumuang S. (2017). Application of Geographic Information Systems (GIS) and Remotely Sensed Data for Flood Risk Assessment in Thailand: Pasak River Basin Approach. Retrieved September 10, 2017, from http://www.gisthai.org/research/flood_pasak/abstrac.html. (in Thai)
Anucharn, T. (2015). Optimal Landslide Susceptibility and Risk Analyses at Khao Phanom Bencha, Krabi Province, Thailand (Ph.D. Geoinformatics), Institute of Science Suranaree University of Technology.
Anucharn, T., & Iamchuen, N. (2017). Flood Susceptibility Map Based on Frequency Ratio Method at Songkhla Lake Basin in the Southern of Thailand. Burapha Science Journal, 22(3), 106-122. (in Thai)
Department of Water Resources. (2007). Water Resources Management Plan in Songkhla Lake Basin. Songkhla: Department of Water Resources Ministry of Natural Resources and Environment. (in Thai)
Dhanarun, S., & Amonsanguansin, J. (2010). Application of Geographic Information System for Flood Risk Area Assessment in Angthong Province. Journal of environmental management, 6(2), 19-34. (in Thai)
Eksiripong, P., & Jirakajohnkool, S. (2014). Geographic Information Systems Application for Flood Hazard Analysis, in Chiang Mai Municipality. Thai Journal of Science and Technology, 3(3), 148-159. (in Thai)
Geo-Informatics and Space Technology Development Agency. (2018). Thailand Flood Monitoring System. Retrieved January 20, 2018, from http://flood.gistda.or.th/. (in Thai)
Huberty, C. J. (1994). Applied Discriminant Analysis. New York: Wiley Interscience.
Jankaew, K. (2010). Environmental Science. Bangkok: Kasetsart University. (in Thai)
Junkhiaw, S. (2003). Flash Flood and Landslide Risk Area in Phuket Province using Geographic Information System (M.S. Watershed Management), Graduate School, Kasetsart University. (in Thai)
Khaddor, I., & Alaoui, A, H. (2014). Production of a Curve Number Map for Hydrological Simulation - Case Study: Kalaya Watershed Located in Northern Morocco. International Journal of Innovation and Applied Studies, 9(4), 1691-1699.
Kosantiae, S. (2012). Application of SCS-CN Model for Estimation Runoff at Upper Yom Watershed (M.S. Watershed and Environmental Management), Faculty of Forestry, Kasetsart University. (in Thai)
Land Development Department. (2017). Knowledge of soil for Youth. Retrieved October 6, 2017, from http://oss101.ldd.go.th/web_soils_for_youth/s_type2.htm
Masek, C, H. (2002). Adapting the SCS Method for Estimating Runoff in Shallow Water Table Environments. M.S. Thesis (Civil Engineering). University of South Florida.
Noichaisin, L. (2016). Application of GIS on Flood Risk Area Assessment in Sa Kaeo Province, Burapha Science Journal, 21(1), 51-63. (in Thai)
Office of Disaster Prevention and Mitigation, Songkhla. (2010). Summary Report of Flood Situation and Assistance (Between November 1-13, 2010) Songkhla: Office of Disaster Prevention and Mitigation, Songkhla. (in Thai)
Office of Natural Resources and Environmental Policy and Planning. (2005). A Study to Identify the Flood Risk Areas and Natural Disasters. Retrieved August 6, 2017, from http://www.onep.go.th/nrem/index.php/93-nrem-articles/coor-3-articles/127-risk-management. (in Thai)
Phuthong, P., Ruthirako, P., Sermkarndee, P., Wunbua, J., Puangkaew, N., & Anucharn S. (2015). The Flood Forecasting in Sadao Municipality, Sadao Sub-District, Sadao District, Songkhla Province, pp. 981-993. In The 6th Hatyai National and International Conference, 26 June 2013, Hatyai University, Songkhla. (in Thai)
Phutmongkhon, P., Yongsatisak, S., Jungcharoentham, N., Khampeera, A., Tongyoi, R., Bennui, A., & Yongchalermchai, C. (2007). Delineation of flood hazard areas in the Lower Eastern Area of Southern by Using Geo-informatics. Journal of Remote Sensing and GIS Association of Thailand, 8(3), 47-57.
(in Thai)
Puttinaovarat, S., Horkaew, P., & Khaimook, K. (2014). Configuring ANN for Inundation Areas Identification Based on Relevant Thematic Layers. ECTI Transactions on Computer and Information Technology, 8(1), 56-66.
Regional Irrigation Office 16. (2013). Flood Prevention and Mitigation Action Plan (rainy season), 2013. Songkhla: Songkhla Irrigation Project.
Royal Irrigation Department. (2017). Nam Plug Pling-Chana Drainage System Project in Songkhla Province. Retrieved August 1, 2017, from http://kromchol.rid.go.th/lproject/lsp11/2014/index.php/example-pages/55-2014-01-30-10-31-09. (in Thai)
Rukanee, D., & Sangchan, S. (2013). Impacts of Land Use Change and Climate Variability on Surface Runoff (A case study of Fang watershed in Chiang Mai Province). pp. 708-712. In The 14th TSAE National Conference and the 6th TSAE International Conference: TSAE 2013, 1-4 April 2013, Hua Hin Grand & Plaza Hotel, Prachuap Khiri Khan. (in Thai)
Soongsumarn, S. (2006). The Use of Geographic Information System to Study the Conditions and Causes of the Flood Impact in Ampher Prachantakham (M.S. Geographic Information System Technology), Graduate School, Mahanakorn University of Technology. (in Thai)
Thai Meteorological Department. (2017). Climate of Thailand. Retrieved August 15,2017, from https://www.tmd.go.th/info/climate_of_thailand-2524-2553.pdf
Yumuang S. (2017). Application of Geographic Information Systems (GIS) and Remotely Sensed Data for Flood Risk Assessment in Thailand: Pasak River Basin Approach. Retrieved September 10, 2017, from http://www.gisthai.org/research/flood_pasak/abstrac.html. (in Thai)
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Published
2019-02-14
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