Articles | Volume 21, issue 7
https://doi.org/10.5194/nhess-21-2233-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-2233-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Jul 2021
Research article |
| 23 Jul 2021
| 23 Jul 2021
Spatiotemporal heterogeneity of b values revealed by a data-driven approach for the 17 June 2019 MS 6.0 Changning earthquake sequence, Sichuan, China
Institute of Geophysics, China Earthquake Administration, Beijing
100081, China
Libo Han
Institute of Geophysics, China Earthquake Administration, Beijing
100081, China
Feng Long
Sichuan Earthquake Agency, Chengdu 610041, China
Guijuan Lai
Institute of Geophysics, China Earthquake Administration, Beijing
100081, China
Fengling Yin
Institute of Geophysics, China Earthquake Administration, Beijing
100081, China
Jinmeng Bi
Tianjin Earthquake Agency, Tianjin 300201, China
Zhengya Si
Beijing Earthquake Agency, Beijing 100080, China
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Large hydropower reservoirs can sometimes trigger earthquakes. We combined a detailed national reservoir map with an earthquake record since 1970 to screen 1,435 Chinese reservoirs and identified 88 likely induced cases. Most events happened within about 25 kilometers of the shoreline and soon after filling, especially in areas with active faults. We developed a scoring tool and recommend wider safety zones and simple reservoir size thresholds to flag higher-risk projects early.
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Large hydropower reservoirs can sometimes trigger earthquakes. We combined a detailed national reservoir map with an earthquake record since 1970 to screen 1,435 Chinese reservoirs and identified 88 likely induced cases. Most events happened within about 25 kilometers of the shoreline and soon after filling, especially in areas with active faults. We developed a scoring tool and recommend wider safety zones and simple reservoir size thresholds to flag higher-risk projects early.
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Aftershocks are typically ignored for traditional probabilistic seismic hazard analyses, which underestimate the seismic hazard to some extent and may cause potential risks. A probabilistic seismic hazard analysis based on the Monte Carlo method was combined with the Omi–Reasenberg–Jones model to systematically study how aftershocks impact seismic hazard analyses. The influence of aftershocks on probabilistic seismic hazard analysis can exceed 50 %.
Cited articles
Aktar, M., Özalaybey, S., Ergin, M., Karabulut, H., Bouin, M.-P., Tapırdamaz, C., Biçmen, F., Yörük, A., and Bouchon, M.: Spatial
variation of aftershock activity across the rupture zone of the 17 August 1999 Izmit earthquake, Turkey, Tectonophysics, 391, 325–334,
https://doi.org/10.1016/j.tecto.2004.07.020, 2004.
Amelung, F. and King, G.: Earthquake scaling laws for creeping and non-creeping faults, Geophys. Res. Lett., 24, 507–510, https://doi.org/10.1029/97GL00287, 1997.
Amorèse, D., Grasso, J.-R., and Rydelek, P.: On varying b-values with
depth, results from computer-intensive tests for Southern California, Geophys. J. Int., 180, 347–360, https://doi.org/10.1111/j.1365-246X.2009.04414.x, 2010.
Bayrak, E., Yılmaz, S., and Bayrak, Y.: Temporal and spatial variations of
Gutenberg–Richter parameter and fractal dimension in Western Anatolia, Turkey, J. Asian Earth Sci., 138, 1–11, https://doi.org/10.1016/j.jseaes.2017.01.031, 2017.
Das, S. and Scholz, C.: Theory of time-dependent rupture in the Earth, J. Geophys. Res., 86, 6039–6051, https://doi.org/10.1029/JB086iB07p06039, 1981.
Del Pezzo, E., Bianco, F., and Saccorotti, G.: Duration magnitude uncertainty due to seismic noise, Inferences on the temporal pattern of GR b-value at Mt. Vesuvius, Italy, Bull. Seismol. Soc. Am., 93, 1847–1853, https://doi.org/10.1785/0120020222, 2003.
El-Isaa, Z. H. and Eatonb, D. W.: Spatiotemporal variations in the
b-value of earthquake magnitude–frequency distributions, Classification and causes, Tectonophysics, 615–616, 1–11, https://doi.org/10.1016/j.tecto.2013.12.001, 2014.
Goebel, T. H. W., Schorlemmer, D., Becker, T., Dresen, G., and Sammis, C.:
Acoustic emissions document stress changes over many seismic cycles in stick-slip experiments, Geophys. Res. Lett., 40, 2049–2054, https://doi.org/10.1002/grl.50507, 2013.
Gulia, L. and Wiemer, S.: Real-time discrimination of earthquake foreshocks
and aftershocks, Nature, 574, 193–199, https://doi.org/10.1038/s41586-019-1606-4, 2019.
Gulia, L., Wiemer, S., and Schorlemmer, D.: Asperity-based earthquake likelihood models for Italy, Ann. Geophys., 533, 63–75, https://doi.org/10.4401/ag-4843, 2010.
Hainzl, S. and Fischer, T.: Indications for a successively triggered rupture growth underlying the 2000 earthquake swarm in Vogtland/NW Bohemia, J. Geophys. Res., 107, ESE 5-1–ESE 5-9, https://doi.org/10.1029/2002JB001865, 2002.
He, D. F., Lu, R. Q., Huang, H. Y., Wang, X. S., Jiang, H., and Zhang, W. K.: Tectonic and geological background of the earthquake hazards in Changning shale gas development zone, Sichuan Basin, SW China, Petrol. Explor. Dev., 46, 1051–1064, https://doi.org/10.1016/S1876-3804(19)60262-4, 2019.
Huang, H., Meng, L. S., Bürgmann, R., Wang, W., and Wang, K.: Spatio-temporal foreshock evolution of the 2019 M6.4 and M7.1 Ridgecrest,
California earthquakes, Earth Planet. Sc. Lett., 551, 116582,
https://doi.org/10.1016/j.epsl.2020.116582, 2020.
Hutton, K., Woessner, J., and Hauksson, E.: Earthquake monitoring in southern California for seventy-seven years (1932–2008), Bull. Seismol. Soc. Am., 100, 423–446, https://doi.org/10.1785/0120090130, 2010.
Kagan, Y. Y.: Universality of the seismic moment-frequency relation, Pure
Appl. Geophys., 155, 537–573, https://doi.org/10.1007/s000240050277, 1999.
Kamer, Y. and Hiemer, S.: Data-driven spatial b value estimation with
applications to California seismicity, To b or not to b, J. Geophys. Res., 120, 5191–5214, https://doi.org/10.1002/2014JB011510, 2015.
Koper, K. D., Pankow, K. L., Pechmann, J. C., Hale, J. M., Burlacu, R., Yeck, W. L., Benz, H. M., Herrmann, R. B., Trugman, D. T., and Shearer, P. M.: Afterslip enhanced aftershock activity during the 2017 earthquake sequence near Sulphur Peak, Idaho, Geophys. Res. Lett., 45, 5352–5361,
https://doi.org/10.1029/2018GL078196, 2018.
Lei, X., Wang, Z., and Su, J.: Possible link between long-term and short-term water injections and earthquakes in salt mine and shale gas site in Changning, south Sichuan Basin, China, Earth Planet. Phys., 36, 510–525, https://doi.org/10.26464/epp2019052, 2019.
Lei, X. L.: Evolution of b-value and fractal dimension of acoustic emission
events during shear rupture of an immature fault in Granite, Appl. Sci., 9, 2498, https://doi.org/10.3390/app9122498, 2019.
Lei, X. L. and Satoh, T.: Indicators of critical point behavior prior to rock failure inferred from pre-failure damage, Tectonophysics, 431, 97–111, https://doi.org/10.1016/j.tecto.2006.04.023, 2007.
Long, F., Zhang, Z., Qi, Y., Liang, M., Ruan, X., Wu, W., Jiang, G., and Zhou, L.: Three dimensional velocity structure and accurate earthquake location in Changning–Gongxian area of southeast Sichuan, Earth Planet. Phys., 42, 1–15, https://doi.org/10.26464/epp2020022, 2020.
Mori, J. and Abercrombie, R. E.: Depth dependence of earthquake frequency-magnitude distributions in California, Implications for rupture
initiation, J. Geophys. Res., 102, 15081–15090, https://doi.org/10.1029/97JB01356, 1997.
Murru, M., Console, R., Falcone, G., Montuori, C., and Sgroi, T.: Spatial
mapping of the b value at Mount Etna, Italy, using earthquake data recorded
from 1999 to 2005, J. Geophys. Res., 112, B12303, https://doi.org/10.1029/2006JB004791, 2007.
Nandan, S., Ouillon, G., Wiemer, S., and Sornette, D.: Objective estimation of spatially variable parameters of epidemic type aftershock sequence model,
Application to California, J. Geophys. Res., 122, 5118–5143,
https://doi.org/10.1002/2016JB013266, 2017.
Nanjo, K. Z., Hirata, N., Obara, K., and Kasahara, K.: Decade-scale decrease
in b value prior to the M9-class 2011 Tohoku and 2004 Sumatra quakes, Geophys. Res. Lett., 39, L20304, https://doi.org/10.1029/2012GL052997, 2012.
Ogata, Y.: Significant improvements of the space-time ETAS model for forecasting of accurate baseline seismicity, Earth Planets Space, 63, 217–229, https://doi.org/10.5047/eps.2010.09.00, 2011.
Ogata, Y. and Katsura, K.: Analysis of temporal and spatial heterogeneity of magnitude frequency distribution inferred from earthquake catalogues, Geophys. J. Int., 113, 727–738, https://doi.org/10.1111/j.1365-246X.1993.tb04663.x, 1993.
Parsons, T.: Forecast experiment: Do temporal and spatial b value variations along the Calaveras fault portend M≥4.0 earthquakes?, J. Geophys. Res., 112, B03308, https://doi.org/10.1029/2006JB004632, 2007.
Perfettini, H., Frank, W., Marsan, D., and Bouchon, M.: A model of aftershock migration driven by afterslip, Geophys. Res. Lett., 455, 2283–2293, https://doi.org/10.1002/2017GL076287, 2018.
Rubner, Y., Tomasi, C., and Guibas, L. J.: The earth mover's distance as a
metric for image retrieval, Int. J. Comput. Vis., 40, 99–121,
https://doi.org/10.1023/A:1026543900054, 2000.
Sambridge, M., Bodin, T., Gallagher, K., and Tkalčić, H.: Transdimensional inference in the geosciences, Philos. T. Roy. Soc. A, 371, 20110547, https://doi.org/10.1098/rsta.2011.0547, 2013.
Scholz, C. H.: The frequency-magnitude relation of microfracturing in rock and its relation to earthquakes, Bull. Seismol. Soc. Am., 581, 399–415, 1968.
Schorlemmer, D. and Wiemer, S.: Microseismicity data forecast rupture area,
Nature, 434, 1086, https://doi.org/10.1038/4341086a, 2005.
Schorlemmer, D., Wiemer, S., and Wyss, M.: Earthquake statistics at Parkfield, 1. Stationarity of b values, J. Geophys. Res., 109, B12307,
https://doi.org/10.1029/2004JB003234, 2004.
Schurr, B., Asch, G., Hainzl, S., Bedford, J., Hoechner, A., Palo, M., Wang,
R., Moreno, M., Bartsch, M., Zhang, Y., Oncken, O., Tilmann, F., Dahm, T.,
Victor, P., Barrientos, S., and Vilotte, J.: Gradual unlocking of plate boundary controlled initiation of the 2014 Iquique earthquake, Nature, 512,
299–302, https://doi.org/10.1038/nature13681, 2014.
Si, Z. Y. and Jiang, C. S.: Research on parameter calculation for then Ogata–Katsura 1993 model in terms of the frequency–magnitude distribution
based on a data-driven approach, Seismol. Res. Lett., 90, 1318–1329,
https://doi.org/10.1785/0220180372, 2019.
Stirling, M. W., Wesnousky, S. G., and Shimazaki, K.: Fault trace complexity, cumulative slip, and the shape of the magnitude-frequency distribution for strike-slip faults, A global survey, Geophys. J. Int., 124, 833–868, https://doi.org/10.1111/j.1365-246X.1996.tb05641.x, 1996.
Svec, L., Burden, S., and Dilley, A.: Applying Voronoi diagrams to the
redistricting problem, UMAP J., 28, 313–329, 2007.
Thompson, B. D., Young, R. P., and Lockner, D. A.: Fracture in Westerly
granite under AE feedback and constant strain rate loading, nucleation,
quasi-static propagation, and the transition to unstable fracture propagation, Pure Appl. Geophys., 163, 995–1019, https://doi.org/10.1007/s00024-006-0054-x, 2006.
Toda, S., Stein, R. S., Reasenberg, P. A., Dieterich, J. H., and Yoshida,
A.: Stress transferred by the 1995 Mw=6.9 Kobe, Japan, shock, Effect on aftershocks and future earthquake probabilities, J. Geophys. Res.,
103, 24543–24565, https://doi.org/10.1029/98JB00765, 1998.
Tormann, T., Wiemer, S., Metzger, S., Michael, A., and Hardebeck, J. L.: Size distribution of Parkfield's microearthquakes reflects changes in surface creep rate, Geophys. J. Int., 193, 1474–1478, https://doi.org/10.1093/gji/ggt093, 2013.
Tormann, T., Enescu, B., Woessner, J., and Wiemer, S.: Randomness of megathrust earthquakes implied by rapid stress recovery after the Japan
earthquake, Nat. Geosci., 8, 152–158, https://doi.org/10.1038/ngeo2343, 2015.
Urbancic, T. I., Trifu, C. I., Long, J. M., and Young, R. P.: Space-time
correlations of b values with stress release, Pure Appl. Geophys., 139, 449–462, https://doi.org/10.1007/BF00879946, 1992.
Waldhauser, F. and Ellsworth, W. L.: A double-difference earthquake location algorithm, method and application to the Northern Hayward fault, California, Bull. Seismol. Soc. Am., 90, 1353–1368, https://doi.org/10.1785/0120000006, 2000.
Wells, D. L. and Coppersmith, K. J.: New empirical relationships among magnitude, rupture length, rupture width, rupture area, and surface displacement, Bull. Seismol. Soc. Am., 844, 974–1002, 1994.
Wiemer, S. and Schorlemmer, D.: ALM, An asperity-based likelihood model for
California, Seismol. Res. Lett., 781, 134–140, https://doi.org/10.1785/gssrl.78.1.134, 2007.
Wiemer, S. and Wyss, M.: Mapping the frequency-magnitude distribution in
asperities, an improved technique to calculate recurrence times?, J. Geophys.
Res., 102, 15115–15128, https://doi.org/10.1029/97JB00726, 1997.
Wiemer, S. and Wyss, M.: Mapping spatial variability of the frequency-magnitude distribution of earthquakes, Adv. Geophys., 45, 259–302,
https://doi.org/10.1016/S0065-2687(02)80007-3, 2002.
Woessner, J. and Wiemer, S.: Assessing the quality of earthquake catalogues, Estimating the magnitude of completeness and its uncertainty, Bull. Seismol. Soc. Am., 95, 684–698, https://doi.org/10.1785/0120040007, 2005.
Wyss, M.: Towards a physical understanding of the earthquake frequency
distribution, Geophys. J. Roy. Astron. Soc., 31, 341–359,
https://doi.org/10.1111/j.1365-246X.1973.tb06506.x, 1973.
Wyss, M., Schorlemmer, D., and Wiemer, S.: Mapping asperities by minima of
local recurrence time, San Jacinto-Elsinore fault zones, J. Geophys. Res., 105, 7829–7844, https://doi.org/10.1029/1999JB900347, 2000.
Xie, J., Ni, S., and Zeng, X.: 1 D shear wave velocity structure of the shallow upper crust in central Sichuan Basin, Earthq. Res. Sichuan, 143, 20–24, https://doi.org/10.3969/j.issn.1001-8115.2012.02.004, 2012.
Yi, G. X., Long, F., Liang, M. J., Zhao, M., Wang, S. W., Gong, Y., Qiao, H.
Z., and Su, J. R.: Focal mechanism solutions and seismogenic structure of
the 17 June 2019 MS6.0 Sichuan Changning earthquake sequence, Chinese J. Geophys., 62, 3432–3447, https://doi.org/10.6038/cjg2019N0297, 2019.
Short summary
The b value is a controversial parameter that has the potential to identify the location of an upcoming strong earthquake. We conducted a case study using a newly developed algorithm that can overcome the subjectivity of calculation. The results confirmed the scientific significance of the b value for seismic hazard analysis and revealed that fluid intrusion may have been the cause of the overactive aftershocks of the studied earthquake.
The b value is a controversial parameter that has the potential to identify the location of an...
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