Open AccessSelection of Tsunami Observation Points Suitable for Database-Driven Prediction
Author(s) -
Junichi Taniguchi,
Kyohei Tagawa,
Masakazu Yoshikawa,
Yasuhiko Igarashi,
Tsuneo Ohsumi,
Hiroyuki Fujiwara,
Takane Hori,
Masato Okada,
Toshitaka Baba
Publication year - 2018
Publication title -
journal of disaster research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.332
H-Index - 18
eISSN - 1883-8030
pISSN - 1881-2473
DOI - 10.20965/jdr.2018.p0245
Subject(s) - seismology , submarine pipeline , geology , geotechnical engineering
During the Great East Japan Earthquake in 2011, real-time estimate of the earthquake’s magnitude was quite low, and consequently, the first report about the tsunami also understated its severity. To solve this issue, some proposed a massive overhaul of Japan’s offshore tsunami observation networks and methods to predict tsunamis in real time. In this study, we built a database containing 3,967 scenarios of tsunamis caused by earthquakes with hypocenters along the Nankai Trough, and tested a tsunami prediction method that uses this database along with offshore tsunami observation networks. Thus, we found that an uneven distribution of observation points had a negative effect on predictive accuracy. We then used simulated annealing to select the observation points to be used at each observation site and found that the predictive accuracy improved while using a few selected observation points compared to using every point.