2021
DOI: 10.1029/2021jb023026
|View full text |Cite
|
Sign up to set email alerts
|

Investigating the Impacts of a Wet Typhoon on Microseismicity: A Case Study of the 2009 Typhoon Morakot in Taiwan Based on a Template Matching Catalog

Abstract: However, the influence of Earth's surface processes on subsurface fault slip and earthquake behaviors remains poorly understood. Previous observational and modeling studies have shown that certain surface processes are capable of generating loading/unloading stresses and modulating earthquake behaviors. These include variations in atmospheric pressures (

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 14 publications
(4 citation statements)
references
References 110 publications
0
4
0
Order By: Relevance
“…For example, the catalog can be used to analyze various stress loading processes at different time scales, like tidal loading (Cochran et al., 2004), seasonal water loading (Johnson et al., 2017), and inter‐seismic stress accumulation (Cheng & Ben‐Zion, 2020). Spatially, the fault geometry at depth inferred from focal mechanisms can be used to understand the on/off‐fault orientation changes (Cheng et al., 2018), the relationship between surface deformation and seismic deformation at depth (Zhai et al., 2021), as well as the effect of brittle‐ductile transition on the changes of fault geometry and stress field near the bottom of seismogenic zone (Schulte‐Pelkum et al., 2020). The insights from these topics will further contribute to understanding crustal deformation and potential seismic hazard.…”
Section: Discussionmentioning
confidence: 99%
“…For example, the catalog can be used to analyze various stress loading processes at different time scales, like tidal loading (Cochran et al., 2004), seasonal water loading (Johnson et al., 2017), and inter‐seismic stress accumulation (Cheng & Ben‐Zion, 2020). Spatially, the fault geometry at depth inferred from focal mechanisms can be used to understand the on/off‐fault orientation changes (Cheng et al., 2018), the relationship between surface deformation and seismic deformation at depth (Zhai et al., 2021), as well as the effect of brittle‐ductile transition on the changes of fault geometry and stress field near the bottom of seismogenic zone (Schulte‐Pelkum et al., 2020). The insights from these topics will further contribute to understanding crustal deformation and potential seismic hazard.…”
Section: Discussionmentioning
confidence: 99%
“…The key idea of the MFT earthquake detection method is to utilize waveforms of known earthquakes ("template") to identify similar, but often weaker, unknown events in continuous seismic data. In this study, we adhered to the MFT workflow largely based on the methods presented by Zhai et al (2021) and Li et al (2018), as detailed in Text S1. One of the key limitations of the MFT method (Text S2 in Supporting Information S1) is its inability to detect events that are not spatially close to the template (Zhang & Wen, 2015).…”
Section: Intermediate-depth Earthquakes Detection With Mftmentioning
confidence: 99%
“…In this study, we adhered to the MFT workflow largely based on the methods presented by Zhai et al. (2021) and Li et al. (2018), as detailed in Text S1.…”
Section: Analysis Proceduresmentioning
confidence: 99%
“…It can also provide insights into the physics of earthquake nucleation (Tape et al, 2013). Despite advancements in data mining techniques, such as back-projection (Fan & Shearer, 2016;Ishii et al, 2005), template matching (Gibbons & Ringdal, 2006;Shelly et al, 2007;Zhai et al, 2021Zhai et al, , 2023, and machine learning (Tang et al, 2020;Zhu & Beroza, 2018), the capacity to effectively monitor earthquake triggering remains constrained by the quality and quantity of local seismometers. For example, Liu et al (2017) only had access to a single high-quality seismometer, significantly impeding the precise determination of the location and magnitude of the triggered events in their target region.…”
Section: Introductionmentioning
confidence: 99%