THE TSUNAMI IMPACT PREDICTION SYSTEM BASED ON INUNDATION DATA ANALYSIS

• Main Author: Dermadi, Yedi
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/47844
• Institution: Institut Teknologi Bandung

The next generation of tsunami early warning system should have the capability to provide inundation prediction in a short period of time. Inundation is one of the factors which directly result in destruction and damage from the tsunami. This research aims to propose the tsunami impact prediction system through inundation data analysis. The inundation data used in this analysis resulted from the tsunami modeling called TsunAWI. The inundation data analysis refers to the coastal forecast zones for each city/regency that are currently used in the Indonesia Tsunami Early Warning System (InaTEWS). The data analysis process comprises data collection, data transformation, data analysis (through GIS analysis, predictive analysis, and simple statistical analysis), and data integration which ultimately produces the pre-calculated inundation database for inundation prediction and tsunami impact prediction. As the outcome, the tsunami impact prediction system provides estimation on the flow depth and inundation distance for each city/regency incorporated into generated tsunami warning bulletins and the impact prediction based on the integrated tsunami intensity scale (ITIS-2012). In addition, this system provides automatic sea level anomaly detection from the tide gauge sensors by applying a tsunami detection algorithm. Finally, the contribution of this research is expected to give enhancement to the tsunami warning products of InaTEWS.