Earthquake Locating with Learning-Based Traveling Time Calibration
Date Issued
2015
Date
2015
Author(s)
Tasi, Chia-Ling
Abstract
The objective of an earthquake locating system is to quickly and accurately locate the hypocenter, which requires correct triggered times of earthquake sensors and a proper velocity model. This work is related to the velocity model with which the traveling time from one point to the other can be derived. The real velocity model can hardly be obtained due to insufficient knowledge on the actual geological structure. This research proposes to construct through learning a model for the difference of traveling times obtained by (1) a simple one-dimensional velocity model, and (2) the observed traveling time from historical events. With the traveling time residual model, the locating system can obtain a more accurate traveling time by adding the residual returned by the model to the observed traveling time. An iterative earthquake locating flow that employs the traveling time residual models to calibrate the P wave traveling times is also proposed. Experiment results indicate that the proposed earthquake locating algorithm can improve the locating accuracy.
Subjects
Earthquake locating
Machine learning
Calibration
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-104-R02943099-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):060777b161e63d70dd42a8f75691f607