Computational Earthquake Physics: Simulations, Analysis and Infrastructure, Part II

Xiang-Chu Yin

ISBN 10: 3764381302 / ISBN 13: 9783764381301

Published by Birkhäuser Basel Feb 2007, 2007

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -This second part of a two-volume work contains 22 research articles on various aspects of computational earthquake physics. Coverage includes the promising earthquake forecasting model LURR (Load-Unload Response Ratio); pattern informatics and phase dynamics and their applications; computational algorithms, including continuum damage models and visualization and analysis of geophysical datasets; and assimilation of data. 344 pp. Englisch. Seller Inventory # 9783764381301

Bibliographic Details

Title: Computational Earthquake Physics: ...

Publisher: Birkhäuser Basel Feb 2007

Publication Date: 2007

Binding: Taschenbuch

Condition: Neu

About this title

Synopsis:

Exciting developments in earthquake science have benefited from new observations, improved computational technologies, and improved modeling capabilities. Designing realistic supercomputer simulation models for the complete earthquake generation process is a grand scientific challenge due to the complexity of phenomena and range of scales involved from microscopic to global.

The present volume - Part II - incorporates computational environment and algorithms, data assimilation and understanding, model applications and iSERVO. Topics covered range from iSERVO and QuakeSim: implementing the international solid earth research virtual observatory by integrating computational grid and geographical information web services; LURR (Load-Unload Response Ratio) described in six papers involving this promising earthquake forecasting model; pattern informatics and phase dynamics and their applications, which was also a highlight in the Workshop; computational algorithms, including continuum damage models and visualization and analysis of geophysical datasets; evolution of mantle material; the state vector approach; and assimilation of data such as geodetic data, GPS data, and seismicity and laboratory experimental data.