Soup-of-Group forecasting of large earthquakes.
This project focuses on the use of a collective model (which is referred to as the ‘soup-of-groups’ (SOG) model) to analyze, explain, and predict earthquakes using the high-resolution earthquake catalogs of Taiwan and New Zealand. In the SOG model, suppression of smaller earthquakes necessarily occu...
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sg-ntu-dr.10356-510042023-02-28T23:18:49Z Soup-of-Group forecasting of large earthquakes. Tan, Teck Liang. Cheong Siew Ann School of Physical and Mathematical Sciences DRNTU::Science::Physics This project focuses on the use of a collective model (which is referred to as the ‘soup-of-groups’ (SOG) model) to analyze, explain, and predict earthquakes using the high-resolution earthquake catalogs of Taiwan and New Zealand. In the SOG model, suppression of smaller earthquakes necessarily occur prior to a large earthquake. Based on this understanding we developed two precursors, namely (1) the time interval SOG signature; and (2) the integrated energy SOG signature. We also made use of the spatial localization feature in the model to improve signal-to-noise ratio in the SOG precursors. We found convincing evidences from both precursors to support the suppression of smaller earthquakes by a localized SOG giant cluster, and is able to demonstrate the predictive power of the SOG model using the Sep 1999 Chi-Chi earthquake in Taiwan as a test case. Bachelor of Science in Physics 2013-01-02T07:50:49Z 2013-01-02T07:50:49Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/51004 en 48 p. application/pdf |
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DRNTU::Science::Physics Tan, Teck Liang. Soup-of-Group forecasting of large earthquakes. |
description |
This project focuses on the use of a collective model (which is referred to as the ‘soup-of-groups’ (SOG) model) to analyze, explain, and predict earthquakes using the high-resolution earthquake catalogs of Taiwan and New Zealand. In the SOG model, suppression of smaller earthquakes necessarily occur prior to a large earthquake. Based on this understanding we developed two precursors, namely (1) the time interval SOG signature; and (2) the integrated energy SOG signature. We also made use of the spatial localization feature in the model to improve signal-to-noise ratio in the SOG precursors. We found convincing evidences from both precursors to support the suppression of smaller earthquakes by a localized SOG giant cluster, and is able to demonstrate the predictive power of the SOG model using the Sep 1999 Chi-Chi earthquake in Taiwan as a test case. |
author2 |
Cheong Siew Ann |
author_facet |
Cheong Siew Ann Tan, Teck Liang. |
format |
Final Year Project |
author |
Tan, Teck Liang. |
author_sort |
Tan, Teck Liang. |
title |
Soup-of-Group forecasting of large earthquakes. |
title_short |
Soup-of-Group forecasting of large earthquakes. |
title_full |
Soup-of-Group forecasting of large earthquakes. |
title_fullStr |
Soup-of-Group forecasting of large earthquakes. |
title_full_unstemmed |
Soup-of-Group forecasting of large earthquakes. |
title_sort |
soup-of-group forecasting of large earthquakes. |
publishDate |
2013 |
url |
http://hdl.handle.net/10356/51004 |
_version_ |
1759857878906175488 |