Abstract
This paper is aimed at constructing Rjb for PESMOS and COSMOS database representing the earthquakes triggered in Indian sub-continent. Rjb, by definition, is the shortest distance from the site to the horizontal projection of rupture plane and that can be constructed using simple geometry provided the required information is available. In practice, the uncertainty associated with this information offers several challenges which are addressed in this paper. First, a vector algebra-based approach is proposed for estimating epicentral distance and azimuth. Second, a set of empirical relationships is proposed to estimate the rupture plane from the moment magnitude using a dataset of 354 earthquakes based on tectonic settings and focal mechanisms. Third, a step-by-step process of computing Rjb is developed considering the uncertainty in the location of hypocenter on the rupture plane. Two approaches are considered for this purpose, namely, (i) areal grid representation and (ii) hypocenter distribution model. While the former assumes equally likely hypocenter over the rupture plane, the latter requires construction of hypocenter distribution model from the prior database. Fourth, the process is extended to account for the uncertainty in available information of strike and/or dip. The proposed framework is assessed against a total of 4247 records from PEER database with Rjb reported based on geometry and location of rupture plane. The framework is finally applied to compute Rjb associated with PESMOS (474 records) and COSMOS (148 records) database, and the results are expected to serve as a valuable resource while constructing GMPEs of shallow focused earthquakes.
Similar content being viewed by others
Data availability
Data may be available from the corresponding author through making reasonable request.
Code availability
Custom code is developed in MATLAB environment and not available for sharing.
References
Abrahamson NA, Shedlock KM, Survey USG (1997) Overview 68(1):9–23
Aki K (1966) Generation and propagation of G waves from the Niigata earthquake of June 16, 1964. Part 1. A statistical analysis. Bull Earthquake Res Inst 44:23–72
Ancheta TD, Darragh RB, Stewart JP, Seyhan E, Silva WJ, Chiou BSJ, Wooddell KE, Graves RW, Kottke AR, Boore DM, Kishida T (2014) NGA-West2 database. Earthquake Spectra, 30(3), pp.989–1005. https://ngawest2.berkeley.edu [last access: 15/12/2019]
Archuleta RJ, Steidl J, Squibb M (2006) The COSMOS Virtual Data Center: a web portal for strong motion data dissemination. Seismol Res Lett 77(6):651–658. https://doi.org/10.1785/gssrl.77.6.651[lastaccess:24/06/2021]
Beresnev IA (2003) Uncertainties in finite-fault slip inversions: to what extent to believe? (a critical review). Bull Seismol Soc Am 93:2445–2458
Blaser L, Krüger F, Ohrnberger M, Scherbaum F (2010) Scaling relations of earthquake source parameter estimates with special focus on subduction environment. Bull Seismol Soc Am 100(6):2914–2926. https://doi.org/10.1785/0120100111
Bodin, P., Malagnini, L., & Akinci, A. (2004). Ground-motion scaling in the Kachchh basin, India deduced from aftershocks of the 2001 Mw 7.6 Bhuj earthquake. Bulletin of the Seismological Society of America, 94(5), 1658–1669. https://doi.org/10.1785/012003202
Bommer JJ, Akkar S (2012) Consistent source-to-site distance metrics in ground-motion prediction equations and seismic source models for PSHA. Earthq Spectra 28(1):1–15. https://doi.org/10.1193/1.3672994
Boore, D. M., & Atkinson, G. M. (2008). Ground-motion prediction equations for the average horizontal component of PGA, PGV, and 5%-damped PSA at spectral periods between 0.01 s and 10.0 s. Earthquake Spectra, 24(1), 99–138. https://doi.org/10.1193/1.2830434
Boore DM, Joyner WB (1982) The empirical prediction of ground motion. Bull Seismol Soc Am 72(6B):S43-60
CEUS Ground Motion Project Final Report (EPRI) (2004). Jack R. Benjamin and Associates, Inc. 530 Oak Grove Avenue, Suite 202, Menlo Park, CA 94025 1009684.
Chiou, B. S.-J., and Youngs, R. R. (2008). Chiou and Youngs PEER-NGA empirical ground motion model for the average horizontal component of peak acceleration, peak velocity, and pseudo-spectral acceleration for spectral periods of 0.01 to 10 seconds, Final Report submitted to PEER.
Das J, Saraf A, Panda S (2007) Satellite data in a rapid analysis of Kashmir earthquake (October 2005) triggered landslide pattern and river water turbidity in and around the epicentral region. International Journal of Remote Sensing - INT J REMOTE SENS 28:1835–1842. https://doi.org/10.1080/01431160600954720
Douglas J (2001) A critical reappraisal of some problems in engineering seismology. Doctoral Thesis, October, 1–525. http://www3.imperial.ac.uk/pls/portallive/docs/1/7293180.PDF
Ekström G, Nettles M, Dziewoński AM (2012) The global CMT project 2004–2010: centroid-moment tensors for 13,017 earthquakes. Phys Earth Planet Inter 200–201:1–9. https://doi.org/10.1016/j.pepi.2012.04.002
Foulser-Piggott R (2014) Quantifying the epistemic uncertainty in ground motion models and prediction. Soil Dyn Earthq Eng 65:256–268. https://doi.org/10.1016/j.soildyn.2014.06.015
Garcia D, Wald DJ, Hearne MG (2012) A global earthquake discrimination scheme to optimize ground-motion prediction equation selection. Bull Seism Soc Am 102:185–203
Goulet, C. A., Kishida, T., Ancheta, T. D., Cramer, C. H., Darragh, R. B., Silva, W. J., Hashash, Y. M. A., Harmon, J., Parker, G. A., Stewart, J. P., & Youngs, R. R. (2021). PEER NGA-East database. Earthquake Spectra, 37(1_suppl), 1331–1353. https://doi.org/10.1177/87552930211015695
Gupta, I. D. (2006). Defining source-to-site distances for evaluation of design earthquake ground motion. Proceedings of the 13th Symposium on Earthquake Engineering, (December 2006), 295–306. https://doi.org/10.13140/RG.2.1.3881.2005
Hanks TC, Bakun WH (2002) A bilinear source-scaling model for M-log A observations of continental earthquakes. Bull Seismol Soc Am 92(5):1841–1846. https://doi.org/10.1785/0120010148
Hanks TC, Bakun WH (2008) M-log A observations for recent large earthquakes. Bull Seismol Soc Am 98(1):490–494. https://doi.org/10.1785/0120070174
Hanks TC, Kanamori H (1979) A moment magnitude scale. J Geophys Res 84:2348–2350
Kaklamanos J, Baise LG, Boore DM (2011) Estimating unknown input parameters when implementing the NGA ground-motion prediction equations in engineering practice. Earthq Spectra 27(4):1219–1235. https://doi.org/10.1193/1.3650372
Kayal JR (2008) Microearthquake seismology and seismotectonics of South Asia. Capital Publishing Company, New Delhi
Leonard, M. (2010). Earthquake fault scaling: self-consistent relating of rupture length, width, average displacement, and moment release. Bulletin of the Seismological Society of America, 100(5 A), 1971–1988. https://doi.org/10.1785/0120090189
Leonard M (2014) Self-consistent earthquake fault-scaling relations: update and extension to stable continental strike-slip faults. Bull Seismol Soc Am 104(6):2953–2965. https://doi.org/10.1785/0120140087
Mai PM, Thingbaijam KKS (2014) SRCMOD: an online database of finite-fault rupture models. Seismol Res Lett 85(6):1348–1357
Mai PM, Spudich P, Boatwright J (2005) Hypocenter locations in finite-source rupture models. Bull Seismol Soc Am 95(3):965–980. https://doi.org/10.1785/0120040111
Mai, P., Burjanek, J., Delouis, B., Festa, G., Francois-Holden, C., Monelli, D., ... & Zahradnik, J. (2007, December). Earthquake source inversion blindtest: initial results and further developments. In AGU Fall Meeting Abstracts (Vol. 2007, pp. S53C-08)
Mai PM, Schorlemmer D, Page M, Ampuero JP, Asano K, Causse M, Custodio S, Fan W, Festa G, Galis M, Gallovic F, Imperatori W, Käser M, Malytskyy D, Okuwaki R, Pollitz F, Passone L, Razafindrakoto HNT, Sekiguchi H, … Zielke O (2016) Seismol Res Lett 87(3):690-708https://doi.org/10.1785/0220150231
National Center for Seismology (NCS), Ministry of Earth Sciences, Government of India. (n.d.). https://seismo.gov.in/.
Ndma. (2011). Development of probabilistic seismic hazard map of India technical report. National Disaster Management Authority, 126.
Parvez IA, Sutar AK, Mridula M, Mishra SK, Rai SS (2008) Coda Q estimates in the Andaman Islands using local earthquakes. Pure Appl Geophys 165(9–10):1861–1878. https://doi.org/10.1007/s00024-008-0399-4
PESMOS. Department of Earthquake Engineering, IIT Roorkee, https://pesmos.com [last access: 24/06/2021]
Petersen MD, Frankel AD, Harmsen SC, Mueller CS, Haller KM, Wheeler RL, Wesson RL, Zeng Y, Boyd OS, Perkins DM, Luco N, Field EH, Wills CJ, Rukstales KS (2010) Documentation for the 2008 update of the United States national seismic hazard maps. Earthquake Research: Background and Select Reports, 107–234.https://doi.org/10.3133/ofr20081128
Raghukanth STG, Kavitha B (2014) Ground motion relations for active regions in India. Pure Appl Geophys 171(9):2241–2275. https://doi.org/10.1007/s00024-014-0807-x
Satyabala SP (2003) Oblique plate convergence in the Indo-Burma (Myanmar) subduction region. Pure Appl Geophys 160(9):1611–1650. https://doi.org/10.1007/s00024-003-2378-0
Scherbaum F, Schmedes J, Cotton F (2004) On the conversion of source-to-site distance measures for extended earthquake source models. Bull Seismol Soc Am 94(3):1053–1069. https://doi.org/10.1785/0120030055
Sedaghati F, Pezeshk S, Tavakoli B (2017) Source-to-site distance conversion for extended faults. Eastern Section Seismological Society of America Annual Meeting 2017. https://doi.org/10.13140/RG.2.2.36101.86245
Singh SK (2004) Q of the Indian Shield. Bull Seismol Soc Am 94(4):1564–1570. https://doi.org/10.1785/012003214
Somerville PG (2021) Scaling relations between seismic moment and rupture area of earthquakes in stable continental regions. Earthq Spectra 37(S1):1534–1549
Tavakoli B, Sedaghati F, Pezeshk S (2018) An analytical effective point-source-based distance-conversion approach to mimic the effects of extended faults on seismic hazard assessment. Bull Seismol Soc Am 108(2):742–760. https://doi.org/10.1785/0120170171
Thingbaijam KKS, Mai PM, Goda K (2017) New empirical earthquake source-scaling laws. Bull Seismol Soc Am 107(5):2225–2246. https://doi.org/10.1785/0120170017
Thompson EM, Worden CB (2018) Estimating rupture distances without a rupture. Bull Seismol Soc Am 108(1):371–379. https://doi.org/10.1785/0120170174
Wells DL, Coppersmith KJ (1994) New empirical relationships among magnitude, rupture length, rupture width, rupture area, and surface displacement. Bulletin - Seismological Society of America 84(4):974–1002
Yang S, Mavroeidis GP, de la Llera JC, Poulos A, Aguirre P, Rahpeyma S, Sonnemann T, Halldorsson B (2019) Empirical site classification of seismological stations in Chile using horizontal-to-vertical spectral ratios determined from recordings of large subduction-zone earthquakes. Soil Dyn Earthq Eng 125(November 2018):105678. https://doi.org/10.1016/j.soildyn.2019.05.017
Acknowledgements
Partial support received under PMRF fellowship towards manpower is gratefully acknowledged.
Funding
This research is funded by the Ministry of Education, Government of India, and the Ministry of Human Resources and Development, Government of India, under the grant no. STARS/APR2019/ES/373/FS, and the financial support is acknowledged.
Author information
Authors and Affiliations
Contributions
DB proposed the idea, performed conceptual design, interpret the results, prepared the final draft, and manage the overall research. FV processed the data, performed the analysis, generated and interpret the results, and prepared the first draft.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Vats, F., Basu, D. On the construction of Joyner-Boore distance (Rjb) for PESMOS and COSMOS databases. J Seismol 27, 173–202 (2023). https://doi.org/10.1007/s10950-022-10129-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10950-022-10129-1