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A rapid method for flood susceptibility mapping in two districts of Phatthalung Province (Thailand): present and projected conditions for 2050

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  • Michele Marconi
  • Beatrice Gatto
  • Michele Magni
  • Fausto Marincioni

Abstract

This study discusses the application of a multiple logistic regression analysis in Khao Chai Son and Mueang Phatthalung districts (Phatthalung Province in southern Thailand), which were the two worst flooded districts in the 2011 inundation. The aim is to test an easy, rapid, and cost-effective method to asses flood susceptibility in a data-poor country. Climatic, topographic, and geological data have been overlaid with those of the flood events occurred in the study area from 2007 to 2011. Results showed a positive spatial correlation between the northeast monsoon precipitation and flooding. Moreover, using the rainfall projection of the U.S. National Center for Atmospheric Research the proposed model forecasts a sharp increase of flood susceptibility in the study area by the year 2050. Given the versatility of such model, local governments could easily use it to define the areas in their territories most exposed to flood hazard and timely implement risk reduction policies and practices. Copyright Springer Science+Business Media Dordrecht 2016

Suggested Citation

  • Michele Marconi & Beatrice Gatto & Michele Magni & Fausto Marincioni, 2016. "A rapid method for flood susceptibility mapping in two districts of Phatthalung Province (Thailand): present and projected conditions for 2050," 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. 81(1), pages 329-346, March.
    • Handle: RePEc:spr:nathaz:v:81:y:2016:i:1:p:329-346
    DOI: 10.1007/s11069-015-2082-2
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    1. James M Jeffers, 2013. "Double Exposures and Decision Making: Adaptation Policy and Planning in Ireland's Coastal Cities during a Boom—Bust Cycle," Environment and Planning A, , vol. 45(6), pages 1436-1454, June.
    2. Y. Yang & Patrick Ray & Casey Brown & Abedalrazq Khalil & Winston Yu, 2015. "Estimation of flood damage functions for river basin planning: a case study in Bangladesh," 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. 75(3), pages 2773-2791, February.
    3. Dieu Bui & Owe Lofman & Inge Revhaug & Oystein Dick, 2011. "Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression," 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. 59(3), pages 1413-1444, December.
    4. Emma Soane & Iljana Schubert & Peter Challenor & Rebecca Lunn & Sunitha Narendran & Simon Pollard, 2010. "Flood Perception and Mitigation: The Role of Severity, Agency, and Experience in the Purchase of Flood Protection, and the Communication of Flood Information," Environment and Planning A, , vol. 42(12), pages 3023-3038, December.
    5. Holger Cammerer & Annegret Thieken & Peter Verburg, 2013. "Spatio-temporal dynamics in the flood exposure due to land use changes in the Alpine Lech Valley in Tyrol (Austria)," 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. 68(3), pages 1243-1270, September.
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