Open AccessTsunami Impact Prediction System Based on TsunAWI Inundation Data
Author(s) -
Yedi Dermadi,
Yoanes Bandung
Publication year - 2021
Publication title -
journal of ict research and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.145
H-Index - 11
eISSN - 2338-5499
pISSN - 2337-5787
DOI - 10.5614/itbj.ict.res.appl.2021.15.1.2
Subject(s) - warning system , early warning system , tide gauge , scale (ratio) , anomaly (physics) , data collection , geology , seismology , meteorology , sea level , computer science , cartography , geography , oceanography , statistics , telecommunications , physics , mathematics , condensed matter physics
It is very important for tsunami early warning systems to provide inundation predictions within a short period of time. Inundation is one of the factors that directly cause destruction and damage from tsunamis. This research proposes a tsunami impact prediction system based on inundation data analysis. The inundation data used in this analysis were obtained 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, ultimately producing a pre-calculated inundation database for inundation prediction and tsunami impact prediction. As the outcome, the tsunami impact prediction system provides estimations of the flow depth and inundation distance for each city/regency incorporated into generated tsunami warning bulletins and impact predictions based on the Integrated Tsunami Intensity Scale (ITIS-2012). In addition, the system provides automatic sea level anomaly detection from tide gauge sensors by applying a tsunami detection algorithm. Finally, the contribution of this research is expected to bring enhancements to the tsunami warning products of InaTEWS.