Dermadi Yedi Primary Author mixed material bibliography Bandung ITB Journal Publisher 2021 e English

Artikel Jurnal

hlm : 21-40 Abstract 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. Ilmu Teknik JICTRA 23375787 Perpustakaan Teknik UPI YAI JICTRA V15N1 June 2021 JICTRA4a-002 Perpustakaan FT UPI YAI JICTRA V15N1 June 2021 JICTRA4b-002 Perpustakaan FT UPI YAI JICTRA V15N1 June 2021 JICTRA4c-002 Perpustakaan FT UPI YAI JICTRA V15N1 June 2021 JICTRA_ITB_small.png.png 59048 2023-02-13 15:40:45 2023-02-13 15:40:45 machine generated