Multi-hazard Susceptibility Assessment Using Multi-Criteria Analysis Method in Southeast Asia Adria Viola Chintia(a*),Dyah Rezqy Hafidzah (b) , Anjar Dimara Sakti (c) , Ketut Wikantika (c)
a) Master Program of Geodesy and Geomatics Engineering , Bandung Institute of Technology
Jalan Ganesha 10, Bandung 40132, Indonesia
* 25122017[at]mahasiswa.itb.ac.id
b) Master Program of Geodesy and Geomatics Engineering, Bandung Institute of Technology
Jalan Ganesha 10, Bandung 40132, Indonesia
c)Faculty of Earth Sciences and Technology, Bandung Institute of Technology
Jalan Ganesha 10, Bandung 40132, Indonesia
Abstract
Natural hazards are complex phenomena that can occur separately or simultaneously within a certain period and have the potential to damage the environment. For any particular region, many single hazard maps may not provide stakeholders with all the information on impending hazards for preparedness and planning. The multi-hazard map completes the combined illustration of various natural hazards, their frequency, and their spatial distribution. Thus, multi-hazard vulnerability is carried out to describe natural disaster scenarios holistically from a certain area. Multi-hazard vulnerabilities are rare in Southeast Asia although multi-hazards strike the region every year. In this study floods, landslides and wildfires are used to model multi-hazard vulnerability in Southeast Asia, using the Multi-Criteria Decision Analysis (MCDA) method which is then integrated with a Geographic Information System (GIS). First, the susceptibility to flooding, landslide, and wildfire hazards is assessed individually and then combined to obtain a multi-hazard hazard. This multi-hazard in Southeast Asia was performed by pairwise comparisons of three natural hazards. The results of the study concluded that the regions that have a high susceptibility to multi-hazard are Indonesia, Thailand, and the Philippines with an overall model accuracy of more than 80%. These multi-hazard susceptibility maps are necessary for disaster management and land use planning.
