Locating earthquakes and underground nuclear explosions using applied optimization

Earthquakes are prevalent around the world. With the possibility of recurrent earthquakes damag- ing settlements and properties, it is of paramount importance for governments to know the location of earthquakes for future urban planning. This research designs an algorithm using the basic ray tracing...

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Bibliographic Details
Main Author: Ding, William Si Hao
Other Authors: Tong Ping
Format: Final Year Project (FYP)
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/76211
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author Ding, William Si Hao
author2 Tong Ping
author_facet Tong Ping
Ding, William Si Hao
author_sort Ding, William Si Hao
collection NTU
description Earthquakes are prevalent around the world. With the possibility of recurrent earthquakes damag- ing settlements and properties, it is of paramount importance for governments to know the location of earthquakes for future urban planning. This research designs an algorithm using the basic ray tracing theory and the concept which most earthquakes relocation studies applied: Geiger’s Partial Differential Equations. Two algorithms are designed for two different mathematical models, ho- mogeneous and heterogeneous. In the latter case, seismic ray tracing is done in a two-layer model where Snell’s law has to be observed for the bending of ray at the intersection point. The algorithm has been implemented using data collected in the Sumatra region. The study has shown that the algorithm relocates earthquakes with accuracy for a domain of convergence. The research can be applied to research on underground nuclear explosions since they released the similar amount of energy as earthquakes.
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spelling ntu-10356/762112023-02-28T23:18:23Z Locating earthquakes and underground nuclear explosions using applied optimization Ding, William Si Hao Tong Ping School of Physical and Mathematical Sciences DRNTU::Science::Mathematics::Applied mathematics::Optimization Earthquakes are prevalent around the world. With the possibility of recurrent earthquakes damag- ing settlements and properties, it is of paramount importance for governments to know the location of earthquakes for future urban planning. This research designs an algorithm using the basic ray tracing theory and the concept which most earthquakes relocation studies applied: Geiger’s Partial Differential Equations. Two algorithms are designed for two different mathematical models, ho- mogeneous and heterogeneous. In the latter case, seismic ray tracing is done in a two-layer model where Snell’s law has to be observed for the bending of ray at the intersection point. The algorithm has been implemented using data collected in the Sumatra region. The study has shown that the algorithm relocates earthquakes with accuracy for a domain of convergence. The research can be applied to research on underground nuclear explosions since they released the similar amount of energy as earthquakes. Bachelor of Science in Mathematical Sciences 2018-12-03T14:40:04Z 2018-12-03T14:40:04Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/76211 en 46 p. application/pdf
spellingShingle DRNTU::Science::Mathematics::Applied mathematics::Optimization
Ding, William Si Hao
Locating earthquakes and underground nuclear explosions using applied optimization
title Locating earthquakes and underground nuclear explosions using applied optimization
title_full Locating earthquakes and underground nuclear explosions using applied optimization
title_fullStr Locating earthquakes and underground nuclear explosions using applied optimization
title_full_unstemmed Locating earthquakes and underground nuclear explosions using applied optimization
title_short Locating earthquakes and underground nuclear explosions using applied optimization
title_sort locating earthquakes and underground nuclear explosions using applied optimization
topic DRNTU::Science::Mathematics::Applied mathematics::Optimization
url http://hdl.handle.net/10356/76211
work_keys_str_mv AT dingwilliamsihao locatingearthquakesandundergroundnuclearexplosionsusingappliedoptimization