Utilization of Open-Source Data for Tsunami Risk Assessment in Indonesia Using a Spatial Multicriteria Approach.

Nugroho, C.N.R.; Hakiki, I.A., and Prasetyo, A., 2023. Utilization of open-source data for tsunami risk assessment in Indonesia using spatial multicriteria approach. In: Lee, J.L., Lee, H., Min, B.I.; Chang, J.-I.; Cho, G. T.; Yoon, J.-S.; and Lee, J. (eds.), Multidisciplinary Approaches to Coastal and Marine Management. Journal of Coastal Research, Special Issue No. 116, pp. 265-269. Charlotte (North Carolina), ISSN 0749-0208. Tsunami risk assessment is one of the most important factors to consider when developing a coastal disaster management plan. However, it remains difficult to implement due to the lack of information on past tsunami events and detailed elevation and land cover data. The development of remote sensing technology and the increasing dissemination and easier access to open-source data could provide an alternative to the current limitations. This study aims to optimize open-source data for low-cost and rapid tsunami risk assessments. Palu Bay in Central Sulawesi Province was chosen as the study site. In the past, earthquakes and tsunamis claimed about 200 lives in 1968, 50 in 1927, and 4,340 in 2018. Information on the events is stored in the National Center for Environmental Information database, which is freely accessible on the website. Digital elevation models and land cover data can also be freely obtained from relevant institutions in Indonesia. Tsunami risk is assessed by applying a multicriteria analysis in geographic information systems in terms of hazard and vulnerability. The parameters are analyzed through a weighted overlay using an analytical hierarchy process and geospatial analysis to produce the final tsunami risk map. From the analysis, around 431 km2 of Palu Bay has a high tsunami risk. This area covers most of the densely populated Palu Bay. Compared with the previous models, this model shows an acceptable result, leading to a promising performance for a low-cost and rapid assessment. It could also be used in all regions of Indonesia for coastal disaster management. In addition, the results of this approach can be used as preliminary information for tsunami disaster mitigation, for example, for establishing evacuation points in high-risk areas. [ABSTRACT FROM AUTHOR]