TY - JOUR
T1 - A sensitivity analysis of tsunami inversions on the number of stations
AU - An, Chao
AU - Liu, Philip L.F.
AU - Meng, Lingsen
N1 - Publisher Copyright:
© The Author(s) 2018.
PY - 2018/8/1
Y1 - 2018/8/1
N2 - Current finite-fault inversions of tsunami recordings generally adopt as many tsunami stations as possible to better constrain earthquake source parameters. In this study, inversions are evaluated by the waveform residual that measures the difference between model predictions and recordings, and the dependence of the quality of inversions on the number tsunami stations is derived. Results for the 2011 Tohoku event show that, if the tsunami stations are optimally located, the waveform residual decreases significantly with the number of stations when the number is 1~4 and remains almost constant when the number is larger than 4, indicating that 2~4 stations are able to recover the main characteristics of the earthquake source. The optimal location of tsunami stations is explained in the text. Similar analysis is applied to the Manila Trench in the South China Sea using artificially generated earthquakes and virtual tsunami stations. Results confirmthat 2~4 stations are necessary and sufficient to constrain the earthquake source parameters, and the optimal sites of stations are recommended in the text. The conclusion is useful for the design of new tsunami warning systems. Current strategies of tsunameter network design mainly focus on the early detection of tsunami waves from potential sources to coastal regions. We therefore recommend that, in addition to the current strategies, the waveform residual could also be taken into consideration so as to minimize the error of tsunami wave prediction for warning purposes.
AB - Current finite-fault inversions of tsunami recordings generally adopt as many tsunami stations as possible to better constrain earthquake source parameters. In this study, inversions are evaluated by the waveform residual that measures the difference between model predictions and recordings, and the dependence of the quality of inversions on the number tsunami stations is derived. Results for the 2011 Tohoku event show that, if the tsunami stations are optimally located, the waveform residual decreases significantly with the number of stations when the number is 1~4 and remains almost constant when the number is larger than 4, indicating that 2~4 stations are able to recover the main characteristics of the earthquake source. The optimal location of tsunami stations is explained in the text. Similar analysis is applied to the Manila Trench in the South China Sea using artificially generated earthquakes and virtual tsunami stations. Results confirmthat 2~4 stations are necessary and sufficient to constrain the earthquake source parameters, and the optimal sites of stations are recommended in the text. The conclusion is useful for the design of new tsunami warning systems. Current strategies of tsunameter network design mainly focus on the early detection of tsunami waves from potential sources to coastal regions. We therefore recommend that, in addition to the current strategies, the waveform residual could also be taken into consideration so as to minimize the error of tsunami wave prediction for warning purposes.
UR - http://www.scopus.com/inward/record.url?scp=85052653840&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85052653840&partnerID=8YFLogxK
U2 - 10.1093/gji/ggy212
DO - 10.1093/gji/ggy212
M3 - Article
AN - SCOPUS:85052653840
SN - 0956-540X
VL - 214
SP - 1313
EP - 1323
JO - Geophysical Journal International
JF - Geophysical Journal International
IS - 2
ER -