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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). Pd 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 Pd for estimating magnitude works perfectly as compared to _ 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.
Wydawca
Czasopismo
Rocznik
Tom
Strony
59--75
Opis fizyczny
Bibliogr. 77 poz.
Twórcy
autor
- Department of Geosciences, National Taiwan University, Taipei 10617, Taiwan
- Present Address: Department of Earth Sciences, National Cheng Kung University, Tainan, Taiwan
autor
- Department of Geosciences, National Taiwan University, Taipei 10617, Taiwan
- Institute of Earth Sciences, Academia Sinica, Taipei, Taiwan
autor
- Department of Earthquake Engineering, Indian Institute of Technology, Roorkee, India
autor
- Department of Geosciences, National Taiwan University, Taipei 10617, Taiwan
autor
- Risk Modeling and Insurance, RMSI, Noida, India
Bibliografia
- 1. Alcik H, Ozel O, Apaydin N, Erdik M (2009) A study on warning algorithms for Istanbul earthquake early warning system. Geophys Res Lett 36:L00B05. https://doi.org/10.1029/2008gl036659
- 2. Allen R (1978) Automatic earthquake recognition and timing from single traces. Bull Seismol Soc Am 68:1521–1532
- 3. Allen RM, Kanamori H (2003) The potential for earthquake early warning in southern California. Science 300:786–789
- 4. Allen RM, Brown H, Hellweg M, Khainovski O, Lombard P, Neuhauser D (2009) Real-time earthquake detection and hazard assessment by ElarmS across California. Geophys Res Lett 36:L00B08. https://doi.org/10.1029/2008gl036766
- 5. Beresnev IA, Atkinson GM (1999) Generic finite-fault model for ground motion prediction in eastern north America. Bull Seismol Soc Am 89(3):608–625
- 6. Bhardwaj R, Sharma ML, Kumar A (2016) Multi-parameter algorithm for earthquake early warning. Geomat Nat Hazards Risk 7(4):1242–1264. https://doi.org/10.1080/19475705.2015.1069409
- 7. Bilham R (1995) Location and magnitude of the Nepal earthquake and its relation to the rupture zones of the contiguous great Himalayan earthquakes. Curr Sci 69:101–128
- 8. Boore DM, Joyner WB (1997) Site amplifications for generic rock sites. Bull Seismol Soc Am 87:327–341
- 9. Böse M, Ionescu C, Wenzel F (2007) Earthquake early warning for Bucharest, Romania: novel and revisited scaling relations. Geophys Res Lett 34:L07302. https://doi.org/10.1029/2007gl029396
- 10. Böse M, Hauksson E, Solanki K, Kanamori H, Heaton TH (2009) Real-time testing of the on-site warning algorithm in southern California and its performance during the July 29, 2008 Mw 5.4 Chino Hills earthquake. Geophys Res Lett 36:L00B03. https://doi.org/10.1029/2008gl036366
- 11. Brown HM, Allen RM, Hellweg M, Khainovski O, Neuhauser D, Souf A (2011) Development of the ElarmS methodology for earthquake early warning: realtime application in California and offline testing in Japan. Soil Dyn Earthq Eng 31(2):188–200
- 12. Carranza M, Buforn E, Colombelli S, Zollo A (2013) Earthquake early warning for southern Iberia: a P wave threshold-based approach. Geophys Res Lett 40(17):4588–4593. https://doi.org/10.1002/grl.50903
- 13. Chen DY, Hsiao NC, Wu YM (2015) The Earthworm-based earthquake alarm reporting system in Taiwan. Bull Seismol Soc Am 105:568–579
- 14. Chen DY, Wu YM, Chin TL (2017) An empirical evolutionary magnitude estimation for early warning of earthquakes. J Asian Earth Sci 135:190–197
- 15. Cua G, Heaton T (2007) The Virtual Seismologist (VS) method: a Bayesian approach to earthquake early warning. In: Gasparini P, Manfredi G, Zschau J (eds) Earthquake early warning systems. Springer, Heidelberg, pp 97–132
- 16. Erdik M, Fahjan Y, Ozel O, Alcik H, Mert A, Gul M (2003) Istanbul earthquake rapid response and the early warning system. Bull Earthq Eng 1:157–163
- 17. Espinosa-Aranda JM, Jimenez A, Ibarrola G, Alcantar F, Aguilar A (1995) Mexico City seismic alert system. Seismol Res Lett 66:42–53
- 18. Espinosa-Aranda JM, Cuellar A, Garcia A, Ibarrola G, Islas R, Maldonado S, Rodriguez FH (2009) Evolution of the Mexican Seismic Alert System (SASMEX). Seismol Res Lett 80(5):694–706. https://doi.org/10.1785/gssrl.80.5.694
- 19. Gupta S (2000) Development in strong motion instrumentation of nuclear power plant sites. In: Symposium on Seismology, earthquake hazard assessment and earth’s interior related topics, Asian Seismological Commission (ASC), Tehran, Iran
- 20. Hoshiba M, Kamigaichi O, Saito M, Tsukada S, Hamada N (2008) Earthquake early warning starts nationwide in Japan. EOS Trans AGU 89(8):73–74
- 21. Hsiao NC, Wu YM, Shin TC, Zhao L, Teng TL (2009) Development of earthquake early warning system in Taiwan. Geophys Res Lett 36:L00B02. https://doi.org/10.1029/2008gl036596
- 22. Ionescu C, Böse M, Wenzel F, Marmureanu A, Grigore A, Marmureanu G (2007) Early warning system for deep Vrancea (Romania) earthquakes. In: Gasparini P, Manfredi G, Zschau J (eds) Earthquake early warning systems. Springer, Heidelberg, pp 343–349
- 23. Johnson CE, Bittenbinder A, Bogaert B, Dietz L, Kohler W (1995) Earthworm: a flexible approach to seismic network processing. IRIS Newsl 14:4
- 24. Kamigaichi O, Saito M, Doi K, Matsumori T, Tsukada S, Takeda K, Shimoyama T, Nakamura K, Kiyomoto M, Watanabe Y (2009) Earthquake early warning in Japan: warning the general public and future prospects. Seismol Res Lett 80(5):717–726
- 25. Kanamori H (2005) Real-time seismology and earthquake damage mitigation. Annu Rev Earth Planet Sci 33:195–214. https://doi.org/10.1146/annurev.earth.33.092203.122626
- 26. Kennett BLN, Engdahl ER (1991) Travel times for global earthquake location and phase association. Geophys J Int 105:429–465
- 27. Khattri KN (1999) An evaluation of earthquakes hazard and risk in northern India. Himal Geol 20:1–46
- 28. Kumar N, Sharma J, Arora BR, Mukhopadhyay S (2009) Seismotectonic model of the Kangra–Chamba sector of Northwest Himalaya: constraints from joint hypocenter determination and focal mechanism. Bull Seismol Soc Am 99(1):95–109
- 29. Kumar A, Kumar A, Kumar A, Gupta SC, Jindal AK, Mittal H (2012a) Source parameters of Uttarkashi earthquake of 21st Sept. In: 15th world conference on earthquake engineering, Lisbon, Portugal, 24–28 Sept 2012, pp 4060–4067. ISBN: 978-1-63439-651-6
- 30. Kumar A, Mittal H, Sachdeva R, Kumar A (2012b) Indian strong motion instrumentation network. Seismol Res Lett 83(1):59–66
- 31. Kumar A, Mittal H, Chamoli BP, Gairola A, Jakka RS, Srivastava A (2014) Earthquake early warning system for northern India. In: 15th symposium on earthquake engineering, Indian Institute of Technology, Roorkee, 11–13 Dec 2014, pp 231–238. Elite Publishing, New Delhi
- 32. Legendre CP, Zhao L, Chen QF (2015a) Upper-mantle shear-wave structure under East and Southeast Asia from Automated Multimode Inversion of waveforms. Geophys J Int 203(1):707–719
- 33. Legendre CP, Deschamps F, Zhao L, Chen QF (2015b) Rayleigh-wave dispersion reveals crust-mantle decoupling beneath eastern Tibet. Sci Rep 5:16644
- 34. Legendre CP, Tseng TL, Mittal H, Hsu CH, Karakhanyan A, Huang BS (2017) Complex wave propagation revealed by peak ground velocity maps in the caucasus area. Seismol Res Lett 88(3):812–821
- 35. Mittal H, Kumar A (2015) Stochastic finite-fault modeling of M w 5.4 earthquake along Uttarakhand-Nepal border. Nat Hazards 75(2):1145–1166
- 36. Mittal H, Gupta S, Srivastava A, Dubey RN, Kumar A (2006) National strong motion instrumentation project: an overview. In: 13th symposium on earthquake engineering, Indian Institute of Technology, Roorkee, 18–20 Dec 2006, pp 107–115. Elite Publishing, New Delh
- 37. Mittal H, Kumar A, Ramhmachhuani R (2012) Indian national strong motion instrumentation network and site characterization of its stations. Int J Geosci 3(6):1151–1167
- 38. Mittal H, Kamal, Kumar A, Singh SK (2013a) Estimation of site effects in Delhi using standard spectral ratio. Soil Dyn Earthq Eng 50:53–61
- 39. Mittal H, Kumar A, Kamal (2013b) Ground motion estimation in Delhi from postulated regional and local earthquakes. J Seismol 17(2):593–605. https://doi.org/10.1007/s10950-012-9340-5
- 40. Mittal H, Kumar A, Kumar A (2013c) Site effects estimation in Delhi from the Indian strong motion instrumentation network. Seismol Res Lett 84(1):33–41
- 41. Mittal H, Kumar A, Kumar A, Kumar R (2015) Analysis of ground motion in Delhi from earthquakes recorded by strong motion network. Arab J Geosci 8(4):2005–2017
- 42. Mittal H, Kumar A, Wu YM, Kumar A (2016a) Source study of M w 5.4 April 4, 2011 India–Nepal border earthquake and scenario events in the Kumaon–Garhwal Region. Arab J Geosci 9(5):348
- 43. Mittal H, Wu YM, Chen DY, Chao WA (2016b) Stochastic finite modelling of ground motion for March 5th 2012 M w 4.6 earthquake and scenario greater magnitude earthquake in the proximity of Delhi. Nat Hazards 82(2):1123–1146. https://doi.org/10.1007/s11069-016-2236-x
- 44. Mittal H, Wu YM, Kumar A, Kumar A, Sharma B (2016c) Evaluating the effects of ground motion parameters on response spectra in Uttarakhand Himalayas, India. Arab J Geosci 9(18):712
- 45. Motazedian D, Atkinson GM (2005) Stochastic finite-fault modeling based on dynamic corner frequency. Bull Seismol Soc Am 95:995–1010
- 46. Nakamura Y (1988) On the urgent earthquake detection and alarm system (UrEDAS). In: Proceedings of the 9th world conference on earthquake engineering, Tokyo–Kyoto, Japan, 2–9 Aug 1988, pp 673–678
- 47. Pazos A, Romeu N, Lozano L, Colom Y, López Mesa M, Goula X, Jara JA, Cantavella JV (2015) A regional approach for earthquake early warning in southwest Iberia: a feasibility study. Bull Seismol Soc Am 105(2A):560–567. https://doi.org/10.1785/0120140101
- 48. Petit NR, Puyané YC, Salvador JAJ, Suriñach XG, Vidal TS (2016) Development of an earthquake early warning system based on earthworm: application to Southwest Iberia. Bull Seismol Soc Am 106(1):1–12
- 49. Satriano C, Wu YM, Zollo A, Kanamori H (2011) Earthquake early warning: concepts, methods and physical grounds. Soil Dyn Earthq Eng 31:106–118. https://doi.org/10.1016/j.soildyn.2010.07.007
- 50. Seeber L, Armbruster JG (1981) Great detachment earthquakes along the Himalayan arc and long-term forecasting. Earthq Predict Int Rev 4:259–277
- 51. Sharma ML (1998) Attenuation relationship for estimation of peak ground horizontal acceleration using data from strong-motion arrays in India. Bull Seismol Soc Am 88(4):1063–1069
- 52. Sharma ML (2003) Seismic hazard in northern India region. Seismol Res Lett 74(2):140–146
- 53. Sharma ML, Lindolhm C (2012) Earthquake hazard assessment for Dehradun, Uttarakhand, India, including a characteristic earthquake recurrence model for the Himalaya Frontal Fault (HFF). Pure Appl Geophys 169:1601–1617
- 54. Sharma B, Teotia SS, Kumar D, Raju PS (2009) Attenuation of P-and S-waves in the Chamoli Region, Himalaya, India. Pure Appl Geophys 166(12):1949
- 55. Shieh JT, Wu YM, Zhao L, Chao WA, Wu CF (2011) An examination of τ c-Pd earthquake early warning method using a strong motion building array. Soil Dyn Earthq Eng 31(2):240–246
- 56. Singh SK, Ordaz M, Dattatrayam RS, Gupta HK (1999) A spectral analysis of the May 21, 1997, Jabalpur, India earthquake (M w = 5.8) and estimation of ground motion from future earthquakes in the Indian shield region. Bull Seismol Soc Am 89:1620–1630
- 57. Singh SK, Mohanty WK, Bansal BK, Roonwal GS (2002) Ground motion in Delhi from future large/great earthquakes in the central seismic gap of the Himalayan arc. Bull Seismol Soc Am 92:555–569
- 58. Vincenty T (1975) Direct and inverse solutions of geodesics on the ellipsoid with application of nested equations. Surv Rev 23(176):88–93. http://www.ngs.noaa.gov/PUBS_LIB/inverse.pdf
- 59. Wells DL, Coppersmith KJ (1994) New empirical relationships among magnitude, rupture length, rupture width, rupture area, and surface displacement. Bull Seismol Soc Am 84:974–1002
- 60. Wenzel F, Onescu M, Baur M, Fiedrich F (1999) An early warning system for Bucharest. Seismol Res Lett 70:161–169
- 61. Wessel P, Smith WH (1998) New, improved version of generic mapping tools released. Eos Trans Am Geophys Union 79(47):579
- 62. Wu YM (2015) Progress on development of an earthquake early warning system using low cost sensors. Pure Appl Geophys 172:2343–2351. https://doi.org/10.1007/s00024-014-0933-5
- 63. Wu YM, Kanamori H (2005a) Experiment on an onsite early warning method for the Taiwan early warning system. Bull Seismol Soc Am 95:347–353
- 64. Wu YM, Kanamori H (2005b) Rapid assessment of damage potential of earthquakes in Taiwan from the beginning of P waves. Bull Seismol Soc Am 95:1181–1185
- 65. Wu YM, Kanamori H (2008) Development of an earthquake early warning system using real-time strong motion signals. Sensors 8:1–9
- 66. Wu YM, Zhao L (2006) Magnitude estimation using the first three seconds P-wave amplitude in earthquake early warning. Geophys Res Lett 33:L16312. https://doi.org/10.1029/2006gl026871
- 67. Wu YM, Yen HY, Zhao L, Huang BS, Liang WT (2006) Magnitude determination using initial P waves: a single station approach. Geophys Res Lett 33:L05306. https://doi.org/10.1029/2005gl025395
- 68. Wu YM, Kanamori H, Allen R, Hauksson E (2007) Determination of earthquake early warning parameters, τ c and P d, for southern California. Geophys J Int 170:711–717. https://doi.org/10.1111/j.1365-246x.2007.03430.x
- 69. Wu YM, Lin TL, Chao WA, Huang HH, Hsiao NC, Chang CH (2011) Faster short-distance earthquake early warning using continued monitoring of filtered vertical displacement—a case study for the 2010 Jiasian earthquake, Taiwan. Bull Seismol Soc Am 101:701–709. https://doi.org/10.1785/0120100153
- 70. Wu YM, Chen DY, Lin TL, Hsieh CY, Chin TL, Chang WY, Li WS, Ker SH (2013) A high density seismic network for earthquake early warning in Taiwan based on low cost sensors. Seismol Res Lett 84:1048–1054. https://doi.org/10.1785/0220130085
- 71. Wu YM, Liang WT, Mittal H, Chao WA, Lin CH, Huang BS, Lin CM (2016) Performance of a low-cost earthquake early warning system (P-Alert) during the 2016 M L 6.4 Meinong (Taiwan) earthquake. Seismol Res Lett 87(5):1050–1059. https://doi.org/10.1785/0220160058
- 72. Wu YM, Mittal H, Huang TC, Yang BM, Jan JC, Chen SK (2018) Performance of a low-cost earthquake early warning system (P-Alert) and shake map production during the 2018 Mw 6.4 Hualien (Taiwan) earthquake. Seismol Res Lett. https://doi.org/10.1785/0220180170
- 73. Wyss M, Gupta S, Rosset P (2017) Casualty estimates in two up-dip complementary Himalayan earthquakes. Seismol Res Lett 88:1508–1515
- 74. Yamada M, Heaton T (2008) Real-time estimation of fault rupture extent using envelopes of acceleration. Bull Seismol Soc Am 98:607–619
- 75. Yamada M, Mori J (2009) Using τ c to estimate magnitude for earthquake early warning and effects of near-field terms. J Geophys Res Solid Earth. https://doi.org/10.1029/2008JB006080
- 76. Zollo A, Lancieri M, Nielsen S (2006) Earthquake magnitude estimation from peak amplitudes of very early seismic signals on strong motion records. Geophys Res Lett 33:L23312. https://doi.org/10.1029/2006gl027795
- 77. Zollo A, Iannaccone G, Lancieri M, Convertito V, Emolo A, Festa G, Gallovic F, Vassallo M, Martino C, Satriano C et al (2009) Earthquake early warning system in southern Italy: methodologies and performance evaluation. Geophys Res Lett 36:L00B07. https://doi.org/10.1029/2008gl036689
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-87bc9b5b-141c-4579-a782-e777938900c2