TY - JOUR
T1 - Testing the performance of earthquake early warning system in northern India
AU - Mittal, Himanshu
AU - Wu, Yih Min
AU - Sharma, Mukat Lal
AU - Yang, Benjamin Ming
AU - Gupta, Sushil
N1 - Funding Information:
The authors are profusely thankful to Ministry of Science and Technology (MOST) of Taiwan for funding the project (106-2116-M-002-019-MY3), under which this study was carried out. Cédric Legendre, Academia Sinica and Professor Ting-Li Lin, NCKU are greatly acknowledged for careful checking of manuscript. The authors are really thankful to two anonymous reviewers and CO-EDITOR-IN-CHIEF Ramon Zuñiga, for their constructive comments, which helped in improving the manuscript.
Funding Information:
Acknowledgments The authors are profusely thankful to Ministry of Science and Technology (MOST) of Taiwan for funding the project (106-2116-M-002-019-MY3), under which this study was carried out. Cédric Legendre, Academia Sinica and Professor Ting-Li Lin, NCKU are greatly acknowledged for careful checking of manuscript. The authors are really thankful to two anonymous reviewers and COEDITOR-IN-CHIEF Ramon Zuñiga, for their constructive comments, which helped in improving the manuscript.
Publisher Copyright:
© 2018, Institute of Geophysics, Polish Academy of Sciences & Polish Academy of Sciences.
PY - 2019/2/4
Y1 - 2019/2/4
N2 - The main goal of present study is to test the functionality of an earthquake early warning (EEW) system (a life-saving tool), in India using synthesized data and recorded earthquake data from Taiwan. In recent time, India set up an EEW system in the central seismic gap along the Himalayan Belt, consisting of about 100 low-cost P-Alert instruments. The area, where these instruments are installed, is highly sensitive to the seismic risk with the potential of strong, major and great earthquakes. In the absence of recorded data from the Himalayas required for analysis of such system, we take advantage of recorded waveforms from Taiwan, to test the EEW system. We selected Taiwanese stations in good accordance with the Indian sensor network, to have a best fit in terms of inter station spacing. Finally, the recorded waveforms are passed through Earthworm software using tankplayer module. The system performs very well in terms of earthquake detection, P-wave picking, earthquake magnitude and location (using previously estimated regressions). P d algorithm has been tested where the peak amplitude of vertical displacement is used for estimating magnitudes using previously regressed empirical relationship data. For the earthquakes located between Main Boundary Thrust and Main Central Thrust along with a matching instrumentation window, a good estimate of location, as well as magnitude is observed. The approach based on P d for estimating magnitude works perfectly as compared to τ c approach, which is more sensitive to signal-to-noise ratio. To make it more region specific, we generated synthetic seismograms from the epicenters of historical Chamoli (1999) and Uttarkashi (1991) earthquakes at EEW stations in India and checked the functionality of EEW. While placing these earthquakes within the instrumentation window, a good approximation of earthquake location and magnitude is obtained by passing these generated waveforms. The parameters used to judge the performance of EEW system included the time taken by the system in issuing warning after the confirmation of the occurrence of damaging earthquake and the lead time (time interval between the issuing of warning and arrival of damaging earthquake ground motion at a particular location). High lead times have been obtained for the plainer regions including thickly populated regions of Gangetic plains, such as Delhi National Capital Region according to the distance from the epicenter, which are the main target of EEW system.
AB - The main goal of present study is to test the functionality of an earthquake early warning (EEW) system (a life-saving tool), in India using synthesized data and recorded earthquake data from Taiwan. In recent time, India set up an EEW system in the central seismic gap along the Himalayan Belt, consisting of about 100 low-cost P-Alert instruments. The area, where these instruments are installed, is highly sensitive to the seismic risk with the potential of strong, major and great earthquakes. In the absence of recorded data from the Himalayas required for analysis of such system, we take advantage of recorded waveforms from Taiwan, to test the EEW system. We selected Taiwanese stations in good accordance with the Indian sensor network, to have a best fit in terms of inter station spacing. Finally, the recorded waveforms are passed through Earthworm software using tankplayer module. The system performs very well in terms of earthquake detection, P-wave picking, earthquake magnitude and location (using previously estimated regressions). P d algorithm has been tested where the peak amplitude of vertical displacement is used for estimating magnitudes using previously regressed empirical relationship data. For the earthquakes located between Main Boundary Thrust and Main Central Thrust along with a matching instrumentation window, a good estimate of location, as well as magnitude is observed. The approach based on P d for estimating magnitude works perfectly as compared to τ c approach, which is more sensitive to signal-to-noise ratio. To make it more region specific, we generated synthetic seismograms from the epicenters of historical Chamoli (1999) and Uttarkashi (1991) earthquakes at EEW stations in India and checked the functionality of EEW. While placing these earthquakes within the instrumentation window, a good approximation of earthquake location and magnitude is obtained by passing these generated waveforms. The parameters used to judge the performance of EEW system included the time taken by the system in issuing warning after the confirmation of the occurrence of damaging earthquake and the lead time (time interval between the issuing of warning and arrival of damaging earthquake ground motion at a particular location). High lead times have been obtained for the plainer regions including thickly populated regions of Gangetic plains, such as Delhi National Capital Region according to the distance from the epicenter, which are the main target of EEW system.
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U2 - 10.1007/s11600-018-0210-6
DO - 10.1007/s11600-018-0210-6
M3 - Article
AN - SCOPUS:85055312330
SN - 1895-6572
VL - 67
SP - 59
EP - 75
JO - Acta Geophysica
JF - Acta Geophysica
IS - 1
ER -