Unknown

Dataset Information

0

Forecasting large aftershocks within one day after the main shock.


ABSTRACT: Forecasting the aftershock probability has been performed by the authorities to mitigate hazards in the disaster area after a main shock. However, despite the fact that most of large aftershocks occur within a day from the main shock, the operational forecasting has been very difficult during this time-period due to incomplete recording of early aftershocks. Here we propose a real-time method for efficiently forecasting the occurrence rates of potential aftershocks using systematically incomplete observations that are available in a few hours after the main shocks. We demonstrate the method's utility by retrospective early forecasting of the aftershock activity of the 2011 Tohoku-Oki Earthquake of M9.0 in Japan. Furthermore, we compare the results by the real-time data with the compiled preliminary data to examine robustness of the present method for the aftershocks of a recent inland earthquake in Japan.

SUBMITTER: Omi T 

PROVIDER: S-EPMC3715793 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

altmetric image

Publications

Forecasting large aftershocks within one day after the main shock.

Omi Takahiro T   Ogata Yosihiko Y   Hirata Yoshito Y   Aihara Kazuyuki K  

Scientific reports 20130101


Forecasting the aftershock probability has been performed by the authorities to mitigate hazards in the disaster area after a main shock. However, despite the fact that most of large aftershocks occur within a day from the main shock, the operational forecasting has been very difficult during this time-period due to incomplete recording of early aftershocks. Here we propose a real-time method for efficiently forecasting the occurrence rates of potential aftershocks using systematically incomplet  ...[more]

Similar Datasets

| S-EPMC6609666 | biostudies-literature
| S-EPMC6937661 | biostudies-literature
| S-EPMC4620523 | biostudies-literature
| S-EPMC5817929 | biostudies-literature
| S-EPMC6945267 | biostudies-literature
2023-03-11 | PXD024916 | Pride
| S-EPMC5673070 | biostudies-literature
2024-07-23 | MSV000095418 | GNPS
2010-10-18 | GSE24305 | GEO
2010-10-18 | GSE24304 | GEO