Tsunami forecast using an adaptive inverse algorithm for the Peru-Chile source region

Physics – Geophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

3

Mathematical Geophysics: Probabilistic Forecasting (3238), Oceanography: Physical: Tsunamis And Storm Surges, Seismology: Subduction Zones (1207, 1219, 1240), Geographic Location: Pacific Ocean

Scientific paper

The inverse method provides tsunami forecasts through regression of near-field water-level data against a set of mareograms computed for unit slip of predetermined subfaults. The present paper describes an improvement to this inverse method by resolving the timing of subfault movement in the inversion. This provides additional degrees of freedom in the regression analysis and accounts for rupture propagation and rise time of tsunamigenic earthquakes. The method is implemented for the Peru-Chile subduction zone, in which the seismic source parameters are deduced from previous studies of seismotectonics and historical earthquakes. A hindcast analysis of the 1995 Antofagasta-Chile tsunami demonstrates the capability of the adaptive inverse algorithm in improving the near-field inversion results and consequently the far-field forecast.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Tsunami forecast using an adaptive inverse algorithm for the Peru-Chile source region does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Tsunami forecast using an adaptive inverse algorithm for the Peru-Chile source region, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Tsunami forecast using an adaptive inverse algorithm for the Peru-Chile source region will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-779423

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.