Kou-Cheng Chen
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Kou-Cheng Chen has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
Jeen-Hwa Wang
5 shared publicationsKwang-Hee Kim
4 shared publications- Bor-Shouh Huang
Institute of Earth Sciences, Academia Sinica, Taipei, Taiwan
1 shared publication - Brian A. Young
The University of Memphis
1 shared publication Jeng-Cheng Wang
Chia Nan Univ Pharm & Sci, Dept Appl Geoinformat, Tainan, Taiwan
1 shared publicationJer-Ming Chiu
Center for Earthquake Research and Information, The University of Memphis, Memphis, TN 38152, USA
1 shared publication
Latest Publications
- Open Access
- 4 August 2023
- Published by Frontiers Media SA in Frontiers in Earth Science
- Vol. 11, 1233487
On the correlations between the largest foreshocks and mainshocks of earthquake sequences in Taiwan
We collected a data set of mainshocks and their respective largest foreshocks of 38 earthquake sequences in Taiwan. The plot of local magnitude, ML, of a mainshock (denoted by MLm) versus ML of its largest foreshock (denoted by MLf) shows an increase in MLm with MLf. This indicates that for Taiwan’s earthquakes the bigger the largest foreshock is, the larger the mainshock is. The plot of the epicentral distance, Δ (in km), from the largest foreshock to the mainshock versus ML of the mainshock exhibits a weak increase in Δ with MLm as Δ1 day.
- 4 August 2023
- Published by Frontiers Media SA in Frontiers in Earth Science
- Vol. 11, 1233487
Open AccessOn the correlations between the largest foreshocks and mainshocks of earthquake sequences in Taiwan
We collected a data set of mainshocks and their respective largest foreshocks of 38 earthquake sequences in Taiwan. The plot of local magnitude, ML, of a mainshock (denoted by MLm) versus ML of its largest foreshock (denoted by MLf) shows an increase in MLm with MLf. This indicates that for Taiwan’s earthquakes the bigger the largest foreshock is, the larger the mainshock is. The plot of the epicentral distance, Δ (in km), from the largest foreshock to the mainshock versus ML of the mainshock exhibits a weak increase in Δ with MLm as Δ1 day.
- Open Access
- 9 August 2022
- Published by Springer Nature in Terrestrial, Atmospheric and Oceanic Sciences
- Vol. 33 (1) , 1-14
Dominant periods and memory effect of the 2021 earthquake swarm in Hualien, Taiwan
An earthquake sequence that occurred in the Hualien area during April 7 to August 30, 2021 has been recognized as two swarms by the Central Weather Bureau. Its earthquakes with ML ≤ 6.2 (ML = local magnitude) and focal depths ≤ 25 km were located in an area from 23°46’ N to 24°04’ N and from 121°25’ E to 121°42’ E. The Morlet wavelet technique is applied to analyze the dominant periods of temporal variations in numbers of daily events for the earthquake sequence in two magnitude ranges, i.e., ML ≥ 3 and ML ≥ 4. Results show that the dominant periods are 30.8 and 38.0 days when ML ≥ 3; while the dominant period does not exist when ML ≥ 4. The fluctuation analysis technique in the natural time domain is used to study the memory effect in the swarm for two magnitude ranges, i.e., ML ≥ 3 and ML ≥ 4. Calculated results show that the memory effect is stronger for the time sequence of magnitudes than for that of inter-event times and higher for ML ≥ 3 earthquakes than for ML ≥ 4 events. Consequently, only the short-term corrected memory effect was operative in the earthquake sequence of the Hualien swarms.
- 9 August 2022
- Published by Springer Nature in Terrestrial, Atmospheric and Oceanic Sciences
- Vol. 33 (1) , 1-14
Open AccessDominant periods and memory effect of the 2021 earthquake swarm in Hualien, Taiwan
An earthquake sequence that occurred in the Hualien area during April 7 to August 30, 2021 has been recognized as two swarms by the Central Weather Bureau. Its earthquakes with ML ≤ 6.2 (ML = local magnitude) and focal depths ≤ 25 km were located in an area from 23°46’ N to 24°04’ N and from 121°25’ E to 121°42’ E. The Morlet wavelet technique is applied to analyze the dominant periods of temporal variations in numbers of daily events for the earthquake sequence in two magnitude ranges, i.e., ML ≥ 3 and ML ≥ 4. Results show that the dominant periods are 30.8 and 38.0 days when ML ≥ 3; while the dominant period does not exist when ML ≥ 4. The fluctuation analysis technique in the natural time domain is used to study the memory effect in the swarm for two magnitude ranges, i.e., ML ≥ 3 and ML ≥ 4. Calculated results show that the memory effect is stronger for the time sequence of magnitudes than for that of inter-event times and higher for ML ≥ 3 earthquakes than for ML ≥ 4 events. Consequently, only the short-term corrected memory effect was operative in the earthquake sequence of the Hualien swarms.
- 7 December 2016
- Published by Seismological Society of America (SSA) in Seismological Research Letters
- Vol. 88 (1) , 82-95
Identification and Elimination of Data Peculiarities in the Strong‐Motion Downhole Array in Taipei Basin
The strong‐motion downhole array (SMDA) in Taipei basin is examined, and the data quality, glitches, and systemic errors in its data are discussed. This seismic network is an array of arrays: the SMDA comprises a total of 32 triggered strong‐motion acceleration seismometers spanning eight sites. Each site has one seismometer at the surface and an additional two to four seismometers each collocated at the individual boreholes. Polarity reversals, swapped components, clock desynchronization, and bad components (flat‐line signal or aseismic noise) have all been observed and are shown to be occasional issues. Signal‐to‐noise ratios are generally excellent. The lack of known orientations at depth is the primary issue regarding data quality of the SMDA. Orientations of each borehole seismometer were recorded at the time of installation, but those initial values are not reliable for subsequent events. Furthermore, redetermined azimuthal orientations are inconsistent from event to event, suggesting that the borehole seismometer orientations change over time. Orientation wander is not associated with instrument maintenance. An iterative method to reliably determine borehole seismometer orientations is introduced. Data from each borehole seismometer are rotated and compared with that from a collocated reference station on the surface with known orientation until a maximum correlation is reached. This method is reliable for most events, but may become unreliable for local events in which the incidence of incoming seismic waves is near vertical and shorter wavelengths introduce complicated wave propagation within Taipei basin. Temporal analysis of borehole seismometer orientations shows not only drifting of azimuthal orientations over time, but also erratic changes in orientation in multiples of 90°. This behavior is suggestive of frequent polarity reversals and/or swapped components on one or both of the two horizontal components of each borehole seismometer.
- 7 December 2016
- Published by Seismological Society of America (SSA) in Seismological Research Letters
- Vol. 88 (1) , 82-95
Identification and Elimination of Data Peculiarities in the Strong‐Motion Downhole Array in Taipei Basin
The strong‐motion downhole array (SMDA) in Taipei basin is examined, and the data quality, glitches, and systemic errors in its data are discussed. This seismic network is an array of arrays: the SMDA comprises a total of 32 triggered strong‐motion acceleration seismometers spanning eight sites. Each site has one seismometer at the surface and an additional two to four seismometers each collocated at the individual boreholes. Polarity reversals, swapped components, clock desynchronization, and bad components (flat‐line signal or aseismic noise) have all been observed and are shown to be occasional issues. Signal‐to‐noise ratios are generally excellent. The lack of known orientations at depth is the primary issue regarding data quality of the SMDA. Orientations of each borehole seismometer were recorded at the time of installation, but those initial values are not reliable for subsequent events. Furthermore, redetermined azimuthal orientations are inconsistent from event to event, suggesting that the borehole seismometer orientations change over time. Orientation wander is not associated with instrument maintenance. An iterative method to reliably determine borehole seismometer orientations is introduced. Data from each borehole seismometer are rotated and compared with that from a collocated reference station on the surface with known orientation until a maximum correlation is reached. This method is reliable for most events, but may become unreliable for local events in which the incidence of incoming seismic waves is near vertical and shorter wavelengths introduce complicated wave propagation within Taipei basin. Temporal analysis of borehole seismometer orientations shows not only drifting of azimuthal orientations over time, but also erratic changes in orientation in multiples of 90°. This behavior is suggestive of frequent polarity reversals and/or swapped components on one or both of the two horizontal components of each borehole seismometer.
- Open Access
- 1 January 2015
- Published by Springer Nature in Terrestrial, Atmospheric and Oceanic Sciences
- Vol. 26 (2-1) , 83-94
Morlet Wavelet Analysis of ML ≥ 3 Earthquakes in the Taipei Metropolitan Area
- 1 January 2015
- Published by Springer Nature in Terrestrial, Atmospheric and Oceanic Sciences
- Vol. 26 (2-1) , 83-94
Open AccessMorlet Wavelet Analysis of ML ≥ 3 Earthquakes in the Taipei Metropolitan Area
- 24 June 2011
- Published by Springer Nature in Pure and Applied Geophysics
- Vol. 169 (7) , 1217-1229
Correlations Between the Mainshock and the Largest Aftershock for Taiwan Earthquakes
- 24 June 2011
- Published by Springer Nature in Pure and Applied Geophysics
- Vol. 169 (7) , 1217-1229
Correlations Between the Mainshock and the Largest Aftershock for Taiwan Earthquakes
- 1 June 2010
- Published by Elsevier in Tectonophysics
- Vol. 489 (1-4) , 119-127
Seismogenic structures of the 1999 Mw 7.6 Chi-Chi, Taiwan, earthquake and its aftershocks
- 1 June 2010
- Published by Elsevier in Tectonophysics
- Vol. 489 (1-4) , 119-127
Seismogenic structures of the 1999 Mw 7.6 Chi-Chi, Taiwan, earthquake and its aftershocks
- 3 June 2003
- Published by American Geophysical Union (AGU) in Geophysical Research Letters
- Vol. 30 (11)
Strong ground motion and damage in the Taipei basin from the Moho reflected seismic waves during the March 31, 2002, Hualien, Taiwan earthquake
The March 31, 2002, Hualien offshore earthquake (ML6.8, Mw7.0) caused minor damage near its epicenter but significant damage in Taipei, about 110 km from the epicenter. The recorded PGA values around the Taipei basin vary in a factor of 5. The high‐PGA values in the southeastern part of the basin correspond to the most significant damage area during the earthquake. Strong ground‐motion recordings from this event recorded at stations around the Taipei basin exhibit several distinct large‐amplitude seismic arrivals that can be interpreted as the PmP, SmP and SmS phases. The largest amplitude of the critically reflected S‐wave from the Moho (SmS) and the amplification of soft shallow sediments unique for each site are responsible for the maximum peak ground motion and the significant damage in the Taipei basin during the Hualien offshore earthquake.
- 3 June 2003
- Published by American Geophysical Union (AGU) in Geophysical Research Letters
- Vol. 30 (11)
Strong ground motion and damage in the Taipei basin from the Moho reflected seismic waves during the March 31, 2002, Hualien, Taiwan earthquake
The March 31, 2002, Hualien offshore earthquake (ML6.8, Mw7.0) caused minor damage near its epicenter but significant damage in Taipei, about 110 km from the epicenter. The recorded PGA values around the Taipei basin vary in a factor of 5. The high‐PGA values in the southeastern part of the basin correspond to the most significant damage area during the earthquake. Strong ground‐motion recordings from this event recorded at stations around the Taipei basin exhibit several distinct large‐amplitude seismic arrivals that can be interpreted as the PmP, SmP and SmS phases. The largest amplitude of the critically reflected S‐wave from the Moho (SmS) and the amplification of soft shallow sediments unique for each site are responsible for the maximum peak ground motion and the significant damage in the Taipei basin during the Hualien offshore earthquake.