TY - CHAP
T1 - Probabilistic Seismic Hazard Analysis for Sulawesi-Maluku Region of Indonesia Using the Space–Time Epidemic-Type Aftershock Sequence Model
AU - Faradilla, Sonia
AU - Choiruddin, Achmad
AU - Otok, Bambang Widjanarko
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - Sulawesi and Maluku are the only regions in Indonesia where three major plates (Eurasian, Indo-Australian and Pacific) meet, resulting in the most seismically active region in Indonesia. It is important to perform probabilistic seismic hazard analysis to understand the seismic activity in this region, study aftershock sequences, and provide comprehensive seismic hazard maps. In this study, we consider spatiotemporal analysis and perform space–time epidemic-type aftershock sequencing (space–time ETAS) to model earthquake catalog data in Sulawesi-Maluku, Indonesia. The method combines Davidon-Fletcher-Powell (DFP) algorithm and stochastic declustering algorithm. We conclude that the model has good performance and can be used to construct seismic hazard maps based on the generated model. The results of the seismic map provide information on the total rate of earthquake events occurring around the Maluku Sea, with the clustering of earthquake events spread almost throughout Sulawesi and Maluku.
AB - Sulawesi and Maluku are the only regions in Indonesia where three major plates (Eurasian, Indo-Australian and Pacific) meet, resulting in the most seismically active region in Indonesia. It is important to perform probabilistic seismic hazard analysis to understand the seismic activity in this region, study aftershock sequences, and provide comprehensive seismic hazard maps. In this study, we consider spatiotemporal analysis and perform space–time epidemic-type aftershock sequencing (space–time ETAS) to model earthquake catalog data in Sulawesi-Maluku, Indonesia. The method combines Davidon-Fletcher-Powell (DFP) algorithm and stochastic declustering algorithm. We conclude that the model has good performance and can be used to construct seismic hazard maps based on the generated model. The results of the seismic map provide information on the total rate of earthquake events occurring around the Maluku Sea, with the clustering of earthquake events spread almost throughout Sulawesi and Maluku.
KW - Climate change management
KW - Davidon-Fletcher-Powell algorithm
KW - Earthquake catalog
KW - Space–time ETAS model
KW - Stochastic declustering
UR - http://www.scopus.com/inward/record.url?scp=85192698702&partnerID=8YFLogxK
U2 - 10.1007/978-981-97-0293-0_27
DO - 10.1007/978-981-97-0293-0_27
M3 - Chapter
AN - SCOPUS:85192698702
T3 - Lecture Notes on Data Engineering and Communications Technologies
SP - 369
EP - 383
BT - Lecture Notes on Data Engineering and Communications Technologies
PB - Springer Science and Business Media Deutschland GmbH
ER -