1:45 PM - 3:15 PM
[HDS08-P02] Utilization and functional enhancement of the real-time earthquake damage estimation system
Keywords:realtime, damage estimation, system, earthquake motion, liquefaction, landslide
Since the real-time earthquake damage estimation system (Fujiwara et al., 2019) was released to the public in October 2013, it has continued to operate stably with version upgrades. It estimates seismic ground motion, building damage, and human damage with a resolution of 250m mesh using strong motion observation records of more than 5,000 seismic stations in Japan, and using nationwide building and population models and underground structure models. In this presentation, we will report the latest status of utilization and development for functional enhancement.
As information for the general public, "J-RISQ Earthquake Report" is published on the web within about 10 to 17 minutes after the earthquake, including damage estimation information such as estimated seismic intensity distribution and seismic intensity exposed population for each administrative district. The number of web accesses tends to increase immediately after the occurrence of a large-scale earthquake, but the monthly average is about 13,000, showing a slight increase in recent years. The percentage of access sources (excluding individuals) is about 30% from public institutions and about 70% from companies. Among companies, most of the accesses are from the information and communications industry, manufacturing industry, and service industry.
More detailed estimated information such as building damage and human damage is distributed to government agencies, disaster response organizations, and municipalities via SIP4D (Usuda et al., 2017). In addition, it is distributed to private companies via the NPO Real-time Earthquake and Disaster Information Consortium. For the latter, as of the end of 2022, 41 private companies have been provided with damage estimation information, and it is used for a variety of purposes, including disaster prevention for their own companies or group companies, information distribution businesses, consulting, and services linked with other information. In addition, the most frequently used data were estimated seismic intensity, building damage, human damage, and maximum acceleration, in that order. In the future, it is expected to be used in various industries such as construction, insurance, security, and transportation (Naito et al., 2023).
As a functional enhancement for multi-hazard risk assessment, we have developed a system that acquires information from a real-time earthquake damage estimation system using an API and estimates damage due to landslides and liquefaction caused by earthquakes. The landslide damage estimation system acquires the maximum velocity distribution, converts the maximum velocity to maximum acceleration (Ooi et al., 2002), then acquires the average slope using national land digital information (MLIT, 2022), and using a discriminant developed by Uchida et al. (2004) to calculate the probability of collapse. The liquefaction damage estimation system uses the maximum velocity distribution, geomorphologic classification groups considering altitude, relative height, and water area distance, and calculates the expression between maximum velocity and liquefaction occurrence rate (Senna et al., 2021). We are developing a Web-API system for providing information on the damage estimation results of these landslides and liquefaction, and we are planning to provide information to public and private organizations in the future.
As information for the general public, "J-RISQ Earthquake Report" is published on the web within about 10 to 17 minutes after the earthquake, including damage estimation information such as estimated seismic intensity distribution and seismic intensity exposed population for each administrative district. The number of web accesses tends to increase immediately after the occurrence of a large-scale earthquake, but the monthly average is about 13,000, showing a slight increase in recent years. The percentage of access sources (excluding individuals) is about 30% from public institutions and about 70% from companies. Among companies, most of the accesses are from the information and communications industry, manufacturing industry, and service industry.
More detailed estimated information such as building damage and human damage is distributed to government agencies, disaster response organizations, and municipalities via SIP4D (Usuda et al., 2017). In addition, it is distributed to private companies via the NPO Real-time Earthquake and Disaster Information Consortium. For the latter, as of the end of 2022, 41 private companies have been provided with damage estimation information, and it is used for a variety of purposes, including disaster prevention for their own companies or group companies, information distribution businesses, consulting, and services linked with other information. In addition, the most frequently used data were estimated seismic intensity, building damage, human damage, and maximum acceleration, in that order. In the future, it is expected to be used in various industries such as construction, insurance, security, and transportation (Naito et al., 2023).
As a functional enhancement for multi-hazard risk assessment, we have developed a system that acquires information from a real-time earthquake damage estimation system using an API and estimates damage due to landslides and liquefaction caused by earthquakes. The landslide damage estimation system acquires the maximum velocity distribution, converts the maximum velocity to maximum acceleration (Ooi et al., 2002), then acquires the average slope using national land digital information (MLIT, 2022), and using a discriminant developed by Uchida et al. (2004) to calculate the probability of collapse. The liquefaction damage estimation system uses the maximum velocity distribution, geomorphologic classification groups considering altitude, relative height, and water area distance, and calculates the expression between maximum velocity and liquefaction occurrence rate (Senna et al., 2021). We are developing a Web-API system for providing information on the damage estimation results of these landslides and liquefaction, and we are planning to provide information to public and private organizations in the future.