TY - JOUR
T1 - Comparing the Performance of the NEEWS Earthquake Early Warning System Against the CWB System During the 6 February 2018 Mw 6.2 Hualien Earthquake
AU - Hsu, T. Y.
AU - Lin, P. Y.
AU - Wang, H. H.
AU - Chiang, H. W.
AU - Chang, Y. W.
AU - Kuo, C. H.
AU - Lin, C. M.
AU - Wen, K. L.
N1 - Publisher Copyright:
©2018. American Geophysical Union. All Rights Reserved.
PY - 2018/6/28
Y1 - 2018/6/28
N2 - The National Center for Research on Earthquake Engineering, Taiwan, has developed an Earthquake Early Warning System (NEEWS). The NEEWS predicts peak ground acceleration (PGA) using an on-site approach, whereas the Central Weather Bureau (CWB), Taiwan, uses a regional approach. Earthquake alerts are issued at the NEEWS stations once PGA reaches a preassigned PGA threshold, regardless of the approach used. An earthquake with a magnitude of 6.2 and a focal depth of 10.0 km struck Hualien, in eastern Taiwan, on 6 February 2018. It resulted in 17 fatalities and 285 injuries, 4 collapsed buildings, and damage to more than 175 buildings. During the earthquake, the system performance of 28 NEEWS stations was documented. In this study, we compare and discuss the accuracy of the PGA predictions, lead times, and classification performance of both approaches.
AB - The National Center for Research on Earthquake Engineering, Taiwan, has developed an Earthquake Early Warning System (NEEWS). The NEEWS predicts peak ground acceleration (PGA) using an on-site approach, whereas the Central Weather Bureau (CWB), Taiwan, uses a regional approach. Earthquake alerts are issued at the NEEWS stations once PGA reaches a preassigned PGA threshold, regardless of the approach used. An earthquake with a magnitude of 6.2 and a focal depth of 10.0 km struck Hualien, in eastern Taiwan, on 6 February 2018. It resulted in 17 fatalities and 285 injuries, 4 collapsed buildings, and damage to more than 175 buildings. During the earthquake, the system performance of 28 NEEWS stations was documented. In this study, we compare and discuss the accuracy of the PGA predictions, lead times, and classification performance of both approaches.
UR - http://www.scopus.com/inward/record.url?scp=85049827832&partnerID=8YFLogxK
U2 - 10.1029/2018GL078079
DO - 10.1029/2018GL078079
M3 - 期刊論文
AN - SCOPUS:85049827832
SN - 0094-8276
VL - 45
SP - 6001
EP - 6007
JO - Geophysical Research Letters
JF - Geophysical Research Letters
IS - 12
ER -