THE TSUNAMI IMPACT PREDICTION SYSTEM BASED ON INUNDATION DATA ANALYSIS
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...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/47844 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | 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. |
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