Tsunami Susceptibility Area Assessment in Phuket Province Using Analytical Hierarchy Process and Geographic Information System

Authors

  • Salita Raruam
  • Chonnikarn Ornchart
  • Thongchai Suteerasak Faculty of Technology and Environment, Prince of Songkla University, Phuket Campus

Abstract

Phuket, a province located in Andaman coast, was damaged from Tsunami in 2004. Since then, several Phuket coastal areas have been announced to be risky areas from Tsunami. However, data of Tsunami susceptibility areas used in local government offices was not up to date. This research aims to analyse Tsunami susceptibility areas using analytical hierarchy process and geographic information system. Five spatial data, i.e., coastal proximity, slope, landforms, wave barrier and elevation, related to Tsunami susceptibility areas were analyse. Subsequently, the obtained data were compared to the Tsunami data used in local government offices. The obtained data were then correlated to land use data, which were classified into five types, i.e., forest area, agricultural area, water area, residential area and other uses area. The results showed that areas in Phuket Province were mostly Tsunami non-susceptibility areas (280.25 km2). Low, intermediate and high Tsunami susceptibility areas were in a size of 124.40 km2, 77.20 km2 and 46.78 km2, respectively. The analysed data also revealed that all Tsunami damaged areas in 2004 were associated with high Tsunami susceptibility areas. When compared to land use data, residential area was located in high-susceptibility areas, with an area sizes 17.86 km2 (40.40% of high-susceptibility area), whereas forest, water and agricultural area covered 34.61%, 11.94% and 10.43% of the high-susceptibility area, respectivily. Nevertheless, government and related offices can use the analysed data from this research to develop planning management system and disaster prevention and mitigation system.            Keyword: Geographic Information System: GIS ; Analytical Hierarchy Process: AHP ;  Tsunami ; Land Use

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Published

2023-05-11