TY - GEN
T1 - Using parallel computing for seismo-volcanic event location based on seismic amplitudes
AU - Cornejo-Surez, Guillermo
AU - Pacheco, Javier
AU - Van Der Laat, Leonardo
AU - Meneses, Esteban
AU - Mora, Mauricio
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/28
Y1 - 2018/12/28
N2 - Volcanoes are very complex geophysical systems where fluids of different nature interact with porous rock at different physical conditions and within a complex matrix of conduits. Two types of seismicity are generated by this complex interactions. The first type is characterized by fracture of the elastic media, in which we have the volcano-tectonic events (VT) that produce two distinctive phases: a compressional phase (P wave) and a shear wave (S wave) that travels with different velocities within solid media. The second type is characterized by low frequencies, in which we have a wide variety of long period events (LP) and volcanic tremors. These signals are produced by fluid motion within restricted paths and have normally emergent onsets and no distinctive P or S wave phases. Classical earthquake source location procedures take advantage of the distinctive phases and their different propagation velocity. However, for LP events and tremors, those procedures can not be used. Therefore, complex algorithms have to be applied, demanding much more computer resources and time than the classical location methods. In this work, we present the analysis and design of a LP and tremor location application based on amplitude decay. We demonstrate that the algorithm is highly parallelizable allowing to develop a parallel implementation using the Python programming language and the de-facto standard for parallel computing, the MPI standard. We show experimentally that it exhibits almost linear scalability with respect to the number of events and the number of cores.
AB - Volcanoes are very complex geophysical systems where fluids of different nature interact with porous rock at different physical conditions and within a complex matrix of conduits. Two types of seismicity are generated by this complex interactions. The first type is characterized by fracture of the elastic media, in which we have the volcano-tectonic events (VT) that produce two distinctive phases: a compressional phase (P wave) and a shear wave (S wave) that travels with different velocities within solid media. The second type is characterized by low frequencies, in which we have a wide variety of long period events (LP) and volcanic tremors. These signals are produced by fluid motion within restricted paths and have normally emergent onsets and no distinctive P or S wave phases. Classical earthquake source location procedures take advantage of the distinctive phases and their different propagation velocity. However, for LP events and tremors, those procedures can not be used. Therefore, complex algorithms have to be applied, demanding much more computer resources and time than the classical location methods. In this work, we present the analysis and design of a LP and tremor location application based on amplitude decay. We demonstrate that the algorithm is highly parallelizable allowing to develop a parallel implementation using the Python programming language and the de-facto standard for parallel computing, the MPI standard. We show experimentally that it exhibits almost linear scalability with respect to the number of events and the number of cores.
KW - MPI
KW - Parallel programming
KW - Python
KW - Tremor location
KW - Volcanic seismology
UR - https://www.scopus.com/pages/publications/85061495168
U2 - 10.1109/CONCAPAN.2018.8596363
DO - 10.1109/CONCAPAN.2018.8596363
M3 - Contribución a la conferencia
AN - SCOPUS:85061495168
T3 - Proceedings of the 2018 IEEE 38th Central America and Panama Convention, CONCAPAN 2018
BT - Proceedings of the 2018 IEEE 38th Central America and Panama Convention, CONCAPAN 2018
A2 - Cardona, Manuel N.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE 38th Central America and Panama Convention, CONCAPAN 2018
Y2 - 7 November 2018 through 9 November 2018
ER -