Abstract
This study focuses on rapidly determining seismic intensity maps of earthquakes because it offers fundamental information for effective emergency rescue and subsequent scientific research, and remains challenging to accurately determine seismic intensity map in regions with sparse instrumental observations. Here we applied a novel method that consisted of array technology (back-projection), ground-motion prediction equations, and site corrections, to estimate the seismic intensity maps of the 2021 Mw 7.3 Madoi, Qinghai and the Mw 6.1 Yangbi, Yunnan, China earthquakes. We used seismic data recorded at European stations to back-project the source processes of the 2021 Mw 7.3 Madoi, Qinghai and the Mw 6.1 Yangbi, Yunnan, China earthquakes. The back-projected energy radiations were then used as subevents or used to define the fault geometry. Summing the contributions of each subevent or estimating the shortest distances from each site to the rupture fault, we obtained the ground motion (PGA and PGV) for each site under rock site conditions. The estimated ground motions were corrected at each site for local site amplification according to the Vs30 database. Our estimated seismic intensity maps and field reports showed high similarity, which further validated the effectiveness of the novel approach, and pushed the limit of earthquake size down to ∼M 6. Such efforts would substantially help in the fast and accurate evaluation of earthquake damage, and precise rescue efforts.
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References Cited
Atkinson, G. M., Wald, D. J., 2007. “Did You Feel It?” Intensity Data: A Surprisingly Good Measure of Earthquake Ground Motion. Seismological Research Letters, 78(3): 362–368. https://doi.org/10.1785/gssrl.78.3.362
Beroza, C. G., 2013. Did You Feel It?. Science, 340(6130): 274–275. https://doi.org/10.1126/science.1235758
Boore, D. M., 2005. Equations for Estimating Horizontal Response Spectra and Peak Acceleration from Western North American Earthquakes: A Summary of Recent Work. Seismological Research Letters, 76(3): 368–369. https://doi.org/10.1785/gssrl.76.3.368
Chen, W. K., Wang, D., Si, H. J., et al., 2022. Rapid Estimation of Seismic Intensities Using a New Algorithm that Incorporates Array Technologies and Ground-Motion Prediction Equations (GMPEs). Bulletin of the Seismological Society of America, 112(3): 1647–1661. https://doi.org/10.1785/0120210207
Cui, H. W., Wan, Y. G., Wang, X. S., et al., 2021. Characteristic of Tectonic Stress Field in Source Region of 2018 MW 7.6 Palu Earthquake and Sulawesi Area. Earth Science, 46(7): 2657–2674. https://doi.org/10.3799/dqkx.2020.243 (in Chinese with English Acstract)
Dong, L. G., Shan, J., 2013. A Comprehensive Review of Earthquake-Induced Building Damage Detection with Remote Sensing Techniques. ISPRS Journal of Photogrammetry and Remote Sensing, 84: 85–99. https://doi.org/10.1016/j.isprsjprs.2013.06.011
Fan, X. M., van Westen, C. J., Xu, Q., et al., 2012. Analysis of Landslide Dams Induced by the 2008 Wenchuan Earthquake. Journal of Asian Earth Sciences, 57: 25–37. https://doi.org/10.1016/j.jseaes.2012.06.002
Farhadi, A., Pezeshk, S., 2020. A Referenced Empirical Ground-Motion Model for Arias Intensity and Cumulative Absolute Velocity Based on the NGA-East Database. Bulletin of the Seismological Society of America, 110(2): 508–518. https://doi.org/10.1785/0120190267
Fukushima, Y., Tanaka, T., 1990. A New Attenuation Relation for Peak Horizontal Acceleration of Strong Earthquake Ground Motion in Japan. Bulletin-Seismological Society of America, 80(4): 757–783.
Gamba, P., Casciati, F., 1998. GIS and Image Understanding for Near-Real-Time Earthquake Damage Assessment: Remote Sensing and GIS for Hazards. Photogrammetric Engineering & Remote Sensing, 64(10): 987–994
General Administration of Quality Supervision, Inspection and Quarantine. Standardization Administration, 2020. The Chinese Seismic Intensity Scale (GB/T 17742-2020). Standards Press of China, Beijing (in Chinese)
Gong, J. H., Wang, D. C., Li, Y., et al., 2010. Earthquake-Induced Geological Hazards Detection under Hierarchical Stripping Classification Framework in the Beichuan Area. Landslides, 7(2): 181–189. https://doi.org/10.1007/s10346-010-0201-4
Ha, G. H., Liu, J. R., Ren, Z. K., et al., 2022. The Interpretation of Seismogenic Fault of the Maduo Mw 7.3 Earthquake, Qinghai Based on Remote Sensing Images—A Branch of the East Kunlun Fault System. Journal of Earth Science, 33(4): 857–868. https://doi.org/10.1007/s12583-021-1556-2
He, X. L., Xu, C., Qi, W. W., et al., 2021. Landslides Triggered by the 2020 Qiaojia Mw 5.1 Earthquake, Yunnan, China: Distribution, Influence Factors and Tectonic Significance. Journal of Earth Science, 32(5): 1056–1068. https://doi.org/10.1007/s12583-021-1492-1
Krüger, F., Ohrnberger, M., 2005. Tracking the Rupture of the Mw = 9.3 Sumatra Earthquake over 1 150 km at Teleseismic Distance. Nature, 435(7044): 937–939. https://doi.org/10.1038/nature03696
Lee, R., Kiremidjian, A. S., 2007. Uncertainty and Correlation for Loss Assessment of Spatially Distributed Systems. Earthquake Spectra, 23 (4): 753–770. https://doi.org/10.1193/1.2791001
Liu, K. S., Tsai, Y. B., Lin, P. S., 2013. A Study on Fault-Type and Site-Effect (VS30) Parameters in the Attenuation Relationships of Peak Ground Acceleration and Peak Ground Velocity in Ilan, Taiwan. Bulletin of the Seismological Society of America, 103(3): 1823–1845. https://doi.org/10.1785/0120120065
Matsuoka, M., Yamazaki, F., 2004. Use of Satellite SAR Intensity Imagery for Detecting Building Areas Damaged Due to Earthquakes. Earthquake Spectra, 20(3): 975–994. https://doi.org/10.1193/1.1774182
Midorikawa, S., 1994. Site Effects on Strong-Motion Records Observed during the 1987 Chiba-Ken-Toho-Oki, Japan Earthquake. Environmental Science, 9(3): 85–90
Musson, R. M. W., 2005. Intensity Attenuation in the U. K.. Journal of Seismology, 9(1): 73–86. https://doi.org/10.1007/s10950-005-2979-4
Ohno, S., Ohta, T., Ikeura, T., et al., 1993. Revision of Attenuation Formula Considering the Effect of Fault Size to Evaluate Strong Motion Spectra in near Field. Tectonophysics, 218(1/2/3): 69–81. https://doi.org/10.1016/0040-1951(93)90260-q
Pan, J. W., Bai, M. K., Li, C., et al., 2021. Coseismic Surface Rupture and Seismogenic Structure of the 2021-05-22 Maduo (Qinghai) Ms 7.4 Earthquake. Acta Geologica Sinica, 95(6): 1655–1670 (in Chinese with English Abstract)
Pathier, E., Fielding, E. J., Wright, T. J., et al., 2006. Displacement Field and Slip Distribution of the 2005 Kashmir Earthquake from SAR Imagery. Geophysical Research Letters, 33(20): L20310. https://doi.org/10.1029/2006gl027193
Ren, J. J., Zhang, S. M., Hou, Z. H., et al., 2007. Study of Late Quaternary Slip Rata in the Mid Segment of the Tongdian Weishan Fault. Seismology and Geology, 29(4): 756–764 (in Chinese with English Abstract)
Ren, Z. K., Zhang, Z. Q., 2019. Structural Analysis of the 1997 Mw 7.5 Manyi Earthquake and the Kinematics of the Manyi Fault, Central Tibetan Plateau. Journal of Asian Earth Sciences, 179: 149–164. https://doi.org/10.1016/j.jseaes.2019.05.003
Sharma, R. C., Tateishi, R., Hara, K., et al., 2017. Earthquake Damage Visualization (EDV) Technique for the Rapid Detection of Earthquake-Induced Damages Using SAR Data. Sensors (Basel, Switzerland), 17 (2): 235. https://doi.org/10.3390/s17020235
Si, H. J., Midorikawa, S., 1999. New Attenuation Relationships for Peak Ground Acceleration and Velocity Considering Effects of Fault Type and Site Condition. Journal of Structural and Construction Engineering (Transactions of AIJ), 64(523): 63–70. https://doi.org/10.3130/aijs.64.63_2 (in Japanese)
Smith, E. M., Mooney, W. D., 2021. A Seismic Intensity Survey of the 16 April 2016 Mw 7.8 Pedernales, Ecuador, Earthquake: A Comparison with Strong-Motion Data and Teleseismic Backprojection. Seismological Research Letters, 92(4): 2156–2171. https://doi.org/10.1785/0220200290
Song, C., Yao, Q., Wang, D., 2019. Magnitude of the 23 January 2018 M 7.9 Alaska Earthquake Estimated from Local Dense Seismic Records in Alaska. Journal of Earth Science, 30(5): 1005–1009. https://doi.org/10.1007/s12583-019-1215-z
Suga, Y., Takeuchi, S., Oguro, Y., et al., 2001. Application of ERS-2/SAR Data for the 1999 Taiwan Earthquake. Advances in Space Research, 28 (1): 155–163. https://doi.org/10.1016/S0273-1177(01)00334-9
Thompson, E. M., Wald, D. J., Worden, C. B., 2014. A VS30 Map for California with Geologic and Topographic Constraints. Bulletin of the Seismological Society of America, 104(5): 2313–2321. https://doi.org/10.1785/0120130312
USGS, 2021. M 7.3—Southern Qinghai, China. (2021-05-21). [2022-02-18]. https://earthquake.usgs.gov/earthquakes/eventpage/us7000e54r/shakemap/intensity
USGS, 2021. M 6.1—25 km NW of Dali, China. (2021-05-21). [2022-02-18]. https://earthquake.usgs.gov/earthquakes/eventpage/us7000e532/shakemap/intensity
Wald, D. J., Quitoriano, V., Heaton, T. H., et al., 1999. TriNet “ShakeMaps”: Rapid Generation of Peak Ground Motion and Intensity Maps for Earthquakes in Southern California. Earthquake Spectra, 15 (3): 537–555. https://doi.org/10.1193/1.1586057
Wald, D. J., Quitoriano, V., Worden, C. B., et al., 2012. USGS “Did You Feel It?” Internet-Based Macroseismic Intensity Maps. Annals of Geophysics, 54(6): 688–707. https://doi.org/10.4401/ag-5354
Wang, D., Mori, J., 2012. The 2010 Qinghai, China, Earthquake: A Moderate Earthquake with Supershear Rupture. Bulletin of the Seismological Society of America, 102(1): 301–308. https://doi.org/10.1785/0120110034
Wang, D., Takeuchi, N., Kawakatsu, H., et al., 2016. Estimating High Frequency Energy Radiation of Large Earthquakes by Image Deconvolution Back-Projection. Earth and Planetary Science Letters, 449: 155–163. https://doi.org/10.1016/j.epsl.2016.05.051
Wang, D. C., Ni, S. D., Li, J., 2013. Research Status of Rapid Assessment on Seismic Intensity. Progress in Geophys, 28(4): 1772–1784 (in Chinese with Abstract)
Wang, W. L., Fang, L. H., Wu, J. P., et al., 2021. Aftershock Sequence Relocation of the 2021 Ms 7.4 Maduo Earthquake, Qinghai, China. Science China Earth Sciences, 64(8): 1371–1380. https://doi.org/10.1007/s11430-021-9803-3
Wang, X. Q., Dou, A. X., Wang, L., et al., 2015. RS-Based Assessment of Seismic Intensity of the 2013 Lushan, Sichuan, China MS 7.0 Earthquake. Chinese Journal of Geophysics, 58(1): 163–171 (in Chinese with Abstract)
Yang, J. W., Ye, B., Gao, Q., et al., 2021. Travel-Time Variations before and after the Yangbi Ms 6.4 Earthquake in 2021 Derived from Active-Source Seismic Data. China Earthquake Engineering Journal, 43(4): 767–776 (in Chinese with English Abstract)
Yang, T., Li, B. R., Fang, L. H., 2022. Relocation of the Foreshocks and Aftershocks of the 2021 Ms 6.4 Yangbi Earthquake Sequence, Yunnan, China. Journal of Earth Science, 33(4): 892–900. https://doi.org/10.1007/s12583-021-1527-7
Yao, Q., Wang, D., Fang, L. H., et al., 2019. Rapid Estimation of Magnitudes of Large Damaging Earthquakes in and around Japan Using Dense Seismic Stations in China. Bulletin of the Seismological Society of America, 109(6): 2545–2555. https://doi.org/10.1785/0120190107
Yunnan Province Seismological Bureau, 2021. Intensity Map of Yangbi M 6.4 Earthquake in Yunnan Province Released. (2021-05-25). [2022-02-18]. http://www.yndzj.gov.cn/yndzj/_300559/_300651/629959/index.html
Zhang, C., Chen, W. K., Si, H. J., et al., 2021. Intensity Rapid Evaluation of Maduo M 7.4 Earthquake in Qinghai Province, 2021. China Earthquake Engineering Journal, 43(4): 876–882 (in Chinese with English Abstract)
Zhang, P. Z., Deng, Q. D., Zhang, G. M., et al., 2003. Strong Earthquake Activity and Active Blocks in Chinese Mainland. Scientia Sinica (Terrae), 33(S1): 12–20 (in Chinese with English Abstract)
Zhang, H., Ge, Z., 2010. Tracking the Rupture of the 2008 Wenchuan Earthquake by Using the Relative Back-Projection Method. Bulletin of the Seismological Society of America, 100(5B): 2551–2560. https://doi.org/10.1785/0120090243
Zhang, K. L., Gan, W. J., Liang, S. M., et al., 2021. The Coseismic Displacement and Slip Distribution of the 2021 May 21, Ms 6.4, Yangbi Earthquake Derived from GNSS Observations. Chinese Journal of Geophysics: Chinese Edition, 64(7): 2253–2266. https://doi.org/10.6038/10.6038/cjg2021o0524 (in Chinese with Abstract)
Acknowledgments
This research was supported by the Fundamental Research Funds in the Institute of Earthquake Science, China Earthquake Administration (No. 2020IESLZ05), the National Key R & D Program of the Republic of China (Nos. 2017YFC1500906 and 2018YFC0603500), and the National Natural Science Foundation of China (Nos. 41922025 and 41874062). The final publication is available at Springer via https://doi.org/10.1007/s12583-021-1586-9.
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Chen, W., Wang, D., Zhang, C. et al. Estimating Seismic Intensity Maps of the 2021 Mw 7.3 Madoi, Qinghai and Mw 6.1 Yangbi, Yunnan, China Earthquakes. J. Earth Sci. 33, 839–846 (2022). https://doi.org/10.1007/s12583-021-1586-9
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DOI: https://doi.org/10.1007/s12583-021-1586-9