Publication Date:
2023-08-09
Description:
The population at risk of tsunami varies according to the season, day of the week, time, etc. Thus, even the same tsunami hazard may pose different levels of risk for an area with high mobility of residents and tourists. In the context of the efforts to develop the Tsunami Digital Twin (TDT) (Koshimura et al., 2023) for Japan, we investigated the application of human mobility data for real-time population exposure estimation. We selected two target areas prone to the anticipated Nankai Trough Earthquake, Katsurahama beach and Tanezaki district in Kochi Prefecture. The areas near Katsurahama correspond to a low residency but highly touristic zone, while Tanezaki is a highly residential area with low tourist activity. The size of both sites is similar for comparison, and the expected tsunami runup is in the same order of magnitude. The tsunami inundation is based on the scenarios proposed by the Cabinet Office of Japan. As the human mobility data, we used "Mobile Spatial Statistics" (DOCOMO InsightMarketing) containing estimated hourly population counts based on mobile phone networks. We found significant variations in the expected number of people at risk of tsunami during a year. Population dynamics affect the necessary levels of response and assistance. Furthermore, we show a prototype of our newly developed Population Exposure Mapping System (PoEMS) applied to real-time tsunami risk assessment.
Language:
English
Type:
info:eu-repo/semantics/conferenceObject
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