Numerical simulation of March 11, 2011 Honshu, Japan tsunami

Abstract

In order to predict tsunami hazards through numerical simulation, by using the focal mechanisms as well as fault parameters of Japan's 2011 Tohoku Earthquake provided by National Geological Survey (referred to as USGS), we proposed a numerical model to simulate the Honshu, Japan tsunami. Numerical computing is conducted to investigate the security along the coast. We also analyzed the simulation results and distribution of tsunami disaster, trying to achieve a more reasonable tsunami warning program. Our numerical model is composed of simulation of surface deformation after the earthquake and the tsunami propagation process which is based on two dimensional shallow water equations. The simulation results show the characteristics of the tsunami propagation, and arrival times on recorder points are consistent with tsunami observation. This model can be applied to evaluate the security of the coastal area and obtain more accurate tsunami warning. tsunami, numerical simulation, tsunami warning

Propagation mechanisms of incident tsunami wave in Jiangsu coastal area, caused by eastern Japan earthquake on March 11, 2011

“…The rest tsunami wave measurement data were derived from Wang et al (2012) and Jing et al (2012). Figs.…”

Numerical Simulation on the Effective Thermal Conductivity of Porous Material

“…As to the three-dimensional steady-state heat conduction [11] with no heat source, the partial differential equations is…”

“…Among them, the first four classic models can not accurately describe the pore distribution and structural characteristics of porous media, they can only describe the process of heat transfer in porous media in the range of large-scale approximately; they can not reveal the real heat transfer law and the distribution of the temperature field; there are large deviations between the model calculations and actual measured values. However, determining the fractal dimension became a major obstacle to establish a model in fractal theory model, and the fractal model in how to analyze the transmission process has not made meaningful progress, it also has not been able to establish the quantified relationship between thermal conductivity and structure [11]. Despite this, previous studies have shown that there exists the premise in using numerical simulation method to obtain accurate effective thermal conductivity of porous material, and the key point is to create realistic materials numerical model.…”