Sentence examples for modeling of tsunamis from inspiring English sources

A case study of four bridge sites at Siletz Bay, Oregon illustrates the challenges in modeling of tsunamis on the Pacific Northwest coast.

The unsettling realization comes after an analysis of recently published geological and geophysical data, historical accounts from the region, and modeling of tsunamis.

This book includes a variety of studies that focus on the modeling of tsunamis and earthquakes, both large-scale simulation and visualization programs, as well as detailed models of small-scale features.

Some authors have even argued recently that the Camassa-Holm equation might be relevant to the modeling of tsunamis (see [16, 17]).

The use of PML boundary conditions for numerical modeling of tsunamis is especially useful because it facilitates use of the later phases of tsunamis that would otherwise be compromised by artifacts caused by reflections from model boundaries.

Akoh, R., Ishikawa, T., Kojima, T., Tomaru, M. & Maeno, S. High-resolution modeling of tsunami run-up flooding: A case study of flooding in Kamaishi City, Japan, induced by the 2011 Tohoku tsunami.

Here, we first report tide gauge records of the tsunami; second, conduct spectral analyses to reveal spectral content of the tsunami; and third, perform numerical modeling of tsunami and aftershock analysis to provide insights on the tsunami source.

We explore the issue of location of the main fault slip by forward modeling of tsunami recordings at NOAA DART stations near Japan, using two early finite-source models obtained from seismic and geodetic inversions.

In this report, we propose the use of an alternative and more effective boundary condition based on the perfectly matched layer (PML) method for finite difference numerical modeling of tsunami propagation.

Lay et al. (2013) reported that the mainshock of this earthquake had two slip patches in the fault, identified by inverting teleseismic broadband P waves and the forward modeling of tsunami.

Forward numerical modeling of tsunami-induced sediment transport could provide quantitative information in terms of tsunami height, flow velocity, and tsunami deposit characteristics to help understand the complex patterns of erosion and sedimentation process in both onshore and seaward directions (Goto and Imamura, 2007).