A development of grid search earthquake location program using OpenACC parallel computing toolkit andits application to earthquake early warning
碩士 === 國立臺灣大學 === 地質科學研究所 === 105 === The rapid and reliable hypocenter and magnitude estimation are two of the most issue for earthquake early warning (EEW) system after an earthquake occurs. In earthquake location aspect, for early warning purpose, the simplified one-dimensional (1-D) velocity mod...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2017
|
Online Access: | http://ndltd.ncl.edu.tw/handle/w65kmk |
id |
ndltd-TW-105NTU05138014 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-105NTU051380142019-05-15T23:39:37Z http://ndltd.ncl.edu.tw/handle/w65kmk A development of grid search earthquake location program using OpenACC parallel computing toolkit andits application to earthquake early warning OpenACC 平行化語言用於網格式定位程式之開發及其在地震預警之應用 Hsi-An Chen 陳璽安 碩士 國立臺灣大學 地質科學研究所 105 The rapid and reliable hypocenter and magnitude estimation are two of the most issue for earthquake early warning (EEW) system after an earthquake occurs. In earthquake location aspect, for early warning purpose, the simplified one-dimensional (1-D) velocity model cannot reflect the complex structures in certain area and result in large location uncertainties. Therefore, an accurate location program based on three-dimensional (3-D) velocity model with a simple-calculating process is developed for earthquake location. First, we divided Taiwan region into 3-D grids, 1 km interval in longitude, latitude and depth, which are assumed as possible hypocenters. Thus, the study area consists of 6,880,000 grids. P wave travel times between each grid and seismic station are stored in a pre-calculated database using the 3-D velocity model and 3-D ray tracing method. When an earthquake occurs, an equal differential time (EDT) surface is then conducted in each different triggered station pairs. By comparing the residuals between EDT surfaces and each grid, the grid with the minimum residual will be considered as the hypocenter. In order to deal with massive computation load during the comparing process, we apply an OpenACC parallel computing toolkit to GPU (Graphic Processing Unit) to reduce the processing time. Records of 115 earthquakes and 10 TAIGER explosion events are used to test our location program performance. Results show our location program can provide a reliable hypocenter location in short times and thus it could improve the efficiency of the EEW application. The average location difference between result of this study and Central Weather Bureau (CWB) earthquake catalog for epicenter and depth are 4.77 km and 5.11 km respectively. 吳逸民 2017 學位論文 ; thesis 39 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立臺灣大學 === 地質科學研究所 === 105 === The rapid and reliable hypocenter and magnitude estimation are two of the most issue for earthquake early warning (EEW) system after an earthquake occurs. In earthquake location aspect, for early warning purpose, the simplified one-dimensional (1-D) velocity model cannot reflect the complex structures in certain area and result in large location uncertainties. Therefore, an accurate location program based on three-dimensional (3-D) velocity model with a simple-calculating process is developed for earthquake location. First, we divided Taiwan region into 3-D grids, 1 km interval in longitude, latitude and depth, which are assumed as possible hypocenters. Thus, the study area consists of 6,880,000 grids. P wave travel times between each grid and seismic station are stored in a pre-calculated database using the 3-D velocity model and 3-D ray tracing method. When an earthquake occurs, an equal differential time (EDT) surface is then conducted in each different triggered station pairs. By comparing the residuals between EDT surfaces and each grid, the grid with the minimum residual will be considered as the hypocenter. In order to deal with massive computation load during the comparing process, we apply an OpenACC parallel computing toolkit to GPU (Graphic Processing Unit) to reduce the processing time. Records of 115 earthquakes and 10 TAIGER explosion events are used to test our location program performance. Results show our location program can provide a reliable hypocenter location in short times and thus it could improve the efficiency of the EEW application. The average location difference between result of this study and Central Weather Bureau (CWB) earthquake catalog for epicenter and depth are 4.77 km and 5.11 km respectively.
|
author2 |
吳逸民 |
author_facet |
吳逸民 Hsi-An Chen 陳璽安 |
author |
Hsi-An Chen 陳璽安 |
spellingShingle |
Hsi-An Chen 陳璽安 A development of grid search earthquake location program using OpenACC parallel computing toolkit andits application to earthquake early warning |
author_sort |
Hsi-An Chen |
title |
A development of grid search earthquake location program using OpenACC parallel computing toolkit andits application to earthquake early warning |
title_short |
A development of grid search earthquake location program using OpenACC parallel computing toolkit andits application to earthquake early warning |
title_full |
A development of grid search earthquake location program using OpenACC parallel computing toolkit andits application to earthquake early warning |
title_fullStr |
A development of grid search earthquake location program using OpenACC parallel computing toolkit andits application to earthquake early warning |
title_full_unstemmed |
A development of grid search earthquake location program using OpenACC parallel computing toolkit andits application to earthquake early warning |
title_sort |
development of grid search earthquake location program using openacc parallel computing toolkit andits application to earthquake early warning |
publishDate |
2017 |
url |
http://ndltd.ncl.edu.tw/handle/w65kmk |
work_keys_str_mv |
AT hsianchen adevelopmentofgridsearchearthquakelocationprogramusingopenaccparallelcomputingtoolkitanditsapplicationtoearthquakeearlywarning AT chénxǐān adevelopmentofgridsearchearthquakelocationprogramusingopenaccparallelcomputingtoolkitanditsapplicationtoearthquakeearlywarning AT hsianchen openaccpíngxínghuàyǔyányòngyúwǎnggéshìdìngwèichéngshìzhīkāifājíqízàidezhènyùjǐngzhīyīngyòng AT chénxǐān openaccpíngxínghuàyǔyányòngyúwǎnggéshìdìngwèichéngshìzhīkāifājíqízàidezhènyùjǐngzhīyīngyòng AT hsianchen developmentofgridsearchearthquakelocationprogramusingopenaccparallelcomputingtoolkitanditsapplicationtoearthquakeearlywarning AT chénxǐān developmentofgridsearchearthquakelocationprogramusingopenaccparallelcomputingtoolkitanditsapplicationtoearthquakeearlywarning |
_version_ |
1719151066483785728 |