Estimating Tsunami Economic Losses with Integrated Engineering-Economic Model and H3 Spatial Index (Case Study: Pangandaran Village and Pananjung Village, Indonesia) Atik Nurul Aini (a,b*), Wiwin Windupranata (c)
a) Geodesy and Geomatics Engineering, Faculty of Earth Sciences and Technology, Bandung Institute of Technology
Jalan Ganesha 10, Bandung 40132, Indonesia
*atiknurulaini[at]students.itb.ac.id
b) Cerdas Antisipasi Risiko bencana (CARI! bencana)
Jalan Sepak Bola 5, Bandung 40293, Indonesia
c) Research Group of Hydrography, Faculty of Earth Sciences and Technology, Bandung Institute of Technology
Jalan Ganesha 10, Bandung 40132, Indonesia
Abstract
Pangandaran Village and Pananjung Village (Pangandaran Regency, West Java) are tourist destinations with a thriving economy. This area has a history of earthquakes measuring Mw 7.7 in 2006 and according to recent research, belongs to an area with the potential for earthquakes measuring Mw 8.7-9, which can trigger an enormous tsunami. This study aims to estimate and analyze economic losses in Pangandaran Village and Pananjung Village.
Economic approaches are needed to translate the potential impact of the tsunami into the monetary value of the damage across sectors. Estimates of economic losses can affect the decision-making process and the effectiveness of mitigation strategies. To calculate the value of economic losses, an integrated engineering-economic model that includes the Method of Splitting Tsunami (MOST) and Computable General Equilibrium (CGE) is applied in this study. This model uses detailed information on spatial heterogeneity in flood depth and economic activity.
In the calculation of economic losses, the H3 spatial indexing system is utilized. H3 is an indexing system developed by Uber and is open source. H3 divides the world into hexagons and is hierarchical. The results of the study show that the economic losses due to the tsunami in Pangandaran Village and Pananjung Village are quite high. By using H3, the resulting analysis becomes more detailed and representative. The results of this research can be utilized by local governments in making decisions.
Keywords: tsunami, economic losses, integrated engineering-economic model, h3 spatial index
