Skip to main content
Log in

Updated seismic hazard curves, maps, and spectra for the northern Dominican Republic using a probabilistic seismic hazard analysis

  • Research
  • Published:
Journal of Seismology Aims and scope Submit manuscript

Abstract

This article presents updated seismic hazard curves, spectra, and maps of ground motion intensity measures for the northern region of the Dominican Republic (DR) obtained using a probabilistic seismic hazard analysis (PSHA). The analysis performed uses as input data an earthquake recurrence model based on fault slip rates derived from GPS measurements published in the aftermath of the 2010 Haiti earthquake. The seismicity rate data are used to calibrate a composite characteristic earthquake model, which is combined with a Poisson process to provide a temporal characterization of earthquake occurrence. The seismic hazard curves and maps presented include parameters such as (horizontal) peak ground acceleration and pseudo-spectral response accelerations at 0.2s and 1.0s periods for 5% damping at firm rock sites. The results show that the ground motion parameters with a 2% probability of exceedance (PE) in 50 years determined in this study are up to 46% larger than the corresponding parameters specified in the current DR building code seismic hazard maps for the northern DR. Moreover, the design response spectra for a site in the city of Santiago specified in the code is significantly lower than the 2% PE in 50 years uniform hazard spectra determined in this study for vibration periods smaller than 0.5s, a range that includes the majority of the structures that define the built environment of the DR.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

Data availability

All data used in this paper came from published sources listed in the references.

References

  • Abrahamson NA, Silva WJ, Kamai R (2014) Summary of the ASK14 ground motion relation for active crustal regions. Earthq Spectra 30:1025–1055

    Google Scholar 

  • Abrahamson NA, Kuehn NM, Walling M, Landwehr N (2019) Probabilistic seismic hazard analysis in California using nonergodic ground-motion models. Bull Seismol Soc Am 109(4):1235–1249

    Google Scholar 

  • American Society of Civil Engineers, ASCE (2022) Minimum design loads for buildings and other structures. American Society of Civil Engineers

    Google Scholar 

  • Atkinson GM, Boore DM (2003) Empirical ground-motion relations for subduction zone earthquakes and their application to Cascadia and other regions. Bull Seismol Soc Am 93:1703–1729

    Google Scholar 

  • Baker JB, Bradley B, Stafford P (2021) Seismic hazard and risk analysis. Cambridge University Press

    Google Scholar 

  • Boore DM, Stewart JP, Seyhan E, Atkinson GM (2014) NGA-West2 equations for predicting PGA, PGV, and 5% damped PSA for shallow crustal earthquakes. Earthq Spectra 30:1057–1085

    Google Scholar 

  • Bozorgnia Y, Abrahamson NA, Atik LA, Ancheta TD, Atkinson GM, Baker JW, Youngs R (2014) NGA-West2 research project. Earthq Spectra 30(3):973–987

    Google Scholar 

  • Calais E, Perrot J, De Lepinay BM (1998) Strike-slip tectonics and seismicity along the northern Caribbean plate boundary from Cuba to Hispaniola. Geol Soc Am Spec Pap 326:125–169

    Google Scholar 

  • Calais E, Mazabraud Y, Mercier de Lépinay B, Mann P, Mattioli G, Jansma P (2002) Strain partitioning and fault slip rates in the northeastern Caribbean from GPS measurements. Geophys Res Lett 29(18):3–1

  • Campbell KW (1997) Empirical near-source attenuation relationships for horizontal and vertical components of peak ground acceleration, peak ground velocity, and pseudo-absolute acceleration response spectra. Seismol Res Lett 68(1):154–179

  • Campbell KW, Bozorgnia Y (2014) NGA-West2 ground motion model for the average horizontal components of PGA, PGV, and 5% damped linear acceleration response spectra. Earthq Spectra 30(3):1087–1115

    Google Scholar 

  • Cavallo E, Galiani S, Noy I, Pantano J (2013) Catastrophic natural disasters and economic growth. Rev Econ Stat 95(5):1549–1561

    Google Scholar 

  • Chang YW, Loh CH, Jean WY (2017) Time-predictable model application in probabilistic seismic hazard analysis of faults in Taiwan. Terr Atmospheric Ocean Sci 28(6):815–831

    Google Scholar 

  • Chiou BS-J, Youngs RR (2014) Update of the Chiou and Youngs NGA model for the average horizontal component of peak ground motion and response spectra. Earthq Spectra 30:1117–1153

    Google Scholar 

  • Cornell CA (1968) Engineering seismic risk analysis. Bull Seismol Soc Am 58:1583–1606

    Google Scholar 

  • Cramer CH, Petersen MD, Cao T, Toppozada TR, Reichle M (2000) A time-dependent probabilistic seismic-hazard model for California. Bull Seismol Soc Am 90(1):1–21

    Google Scholar 

  • DeMets C, Jansma PE, Mattioli GS, Dixon TH, Farina F, Bilham R et al (2000) GPS geodetic constraints on Caribbean-North America plate motion. Geophys Res Lett 27(3):437–440

    Google Scholar 

  • DesRoches R, Comerio M, Eberhard M, Mooney W, Rix G (2011) Overview of the 2010 Haiti earthquake. Earthq Spectra 27(S1):1–21. https://doi.org/10.1193/1.3630129

    Article  Google Scholar 

  • Dolan JF, Bowman DD (2004) Tectonic and seismologic setting of the 22 September 2003, Puerto Plata, Dominican Republic earthquake: implications for earthquake hazard in northern Hispaniola. Seismol Res Lett 75(5):587–597

    Google Scholar 

  • Erazo K (2019) Probabilistic seismic hazard analysis and design earthquake for Santiago, Dominican Republic. Cienc Ing Apl  2(1):67–84

  • Erazo K (2020) Análisis probabilístico de peligro sísmico y terremoto de diseño para Santiago-República Dominicana. Cienc Ing Apl  3(1):7–30

  • Erazo K, Taveras A (2021) Demandas estructurales inducidas por vientos huracanados y terremotos en un edificio flexible en la República Dominicana. Cienc Ing Apl 4(1):57–78

  • File:Gonâve microplate.png. (2020, November 5). Wikimedia Commons, the free media repository. Retrieved 18:12, December 28, 2021 from https://commons.wikimedia.org/w/index.php?title=File:Gon%C3%A2ve_microplate.png&oldid=510319836

  • Frankel A, Harmsen S, Mueller C, Calais E, Haase J (2011) Seismic hazard maps for Haiti. Earthq Spectra 27(1_suppl1):23–41

    Google Scholar 

  • Gavin HP, Dickinson BW (2011) Generation of uniform-hazard earthquake ground motions. J Struct Eng 137(3):423–432

    Google Scholar 

  • Gerstenberger MC, Marzocchi W, Allen T, Pagani M, Adams J, Danciu L et al (2020) Probabilistic seismic hazard analysis at regional and national scales: state of the art and future challenges. Rev Geophys 58(2):e2019RG000653

    Google Scholar 

  • Gregor N, Abrahamson NA, Atkinson GM, Boore DM, Bozorgnia Y, Campbell KW et al (2014) Comparison of NGA-West2 GMPEs. Earthq Spectra 30(3):1179–1197

    Google Scholar 

  • Gupta ID (2007) Probabilistic seismic hazard analysis method for mapping of spectral amplitudes and other design-specific quantities to estimate the earthquake effects on man-made structures. ISET J Earthq Technol 44(1):127–167

    Google Scholar 

  • Han Y, Davidson RA (2012) Probabilistic seismic hazard analysis for spatially distributed infrastructure. Earthq Eng Struct Dyn 41(15):2141–2158

    Google Scholar 

  • Hayes GP, Briggs RW, Sladen A, Fielding EJ, Prentice C, Hudnut K et al (2010) Complex rupture during the 12 January 2010 Haiti earthquake. Nat Geosci 3(11):800–805

    Google Scholar 

  • Headquarters for Earthquake Research Promotion HERP (2010). National seismic hazard maps for Japan 2010, Earthquake Research Committee (K. Abe, chair), Headquarters for Earthquake Research Promotion, available from www.jishin.go.jp/main/chousa/10yosokuchizu/index.htm (in Japanese).

  • 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

    Google Scholar 

  • Kammerer A, Ake J (2012) Practical implementation guidelines for SSHAC level 3 and 4 hazard studies, NUREG-2117. U.S. Nuclear Regulatory Commission, Washington, D.C.

    Google Scholar 

  • Lee V, Herak M, Herak D, Trifunac M (2013) Uniform hazard spectra in western Balkan Peninsula. Soil Dyn Earthq Eng 55:120

    Google Scholar 

  • Li Y, Yin Y, Ellingwood BR, Bulleit WM (2010) Uniform hazard versus uniform risk bases for performance-based earthquake engineering of light-frame wood construction. Earthq Eng Struct Dyn 39(11):1199–1217

    Google Scholar 

  • Loh CH, Jean WY, Penzien J (1994) Uniform-hazard response spectra—An alternative approach. Earthq Eng Struct Dyn 23(4):433–445

    Google Scholar 

  • Luco N, Ellingwood BR, Hamburger RO, Hooper JD, Kimball JK, Kircher CA (2007) Risk-targeted versus current seismic design maps for the conterminous United States. In: SEAOC 2007 Convention Proceedings

    Google Scholar 

  • Mann P, Prentice C, Burr G, Peña L, Taylor FW (1998) Tectonic geomorphology and paleoseismology of the Septentrional fault system. The Geological Society of America, Dominican Republic. https://doi.org/10.1130/0-8137-2326-4.63

    Book  Google Scholar 

  • Mann P, Calais E, Ruegg JC, DeMets C, Jansma PE, Mattioli GS (2002) Oblique collision in the northeastern Caribbean from GPS measurements and geological observations. Tectonics 21(6):7–1

    Google Scholar 

  • McGuire RK (1995) Probabilistic seismic hazard analysis and design earthquakes: Closing the loop. Bull Seismol Soc Am 85:1275–1284

    Google Scholar 

  • MOPC (2011) Reglamento para el análisis y diseño sísmico de estructuras R-001. Ministerio de Obras Públicas y Comunicaciones (MOPC), Santo Domingo, República Dominicana

  • Ogata Y (1999) Estimating the hazard of rupture using uncertain occurrence times of paleoearthquakes. J Geophys Res 104:17995–18014. https://doi.org/10.1029/1999JB900115

    Article  Google Scholar 

  • Petersen MD, Frankel AD, Harmsen SC, Mueller CS, Haller KM, Wheeler RL et al (2008) Documentation for the 2008 update of the United States national seismic hazard maps (No. 2008-1128). US Geological Survey

    Google Scholar 

  • Prentice CS, Mann P, Peña LR, Burr G (2003) Slip rate and earthquake recurrence along the central Septentrional fault, North American–Caribbean plate boundary, Dominican Republic. J Geophys Res 108. https://doi.org/10.1029/2001JB000442

  • Prentice CS, Mann P, Crone AJ, Gold RD, Hudnut KW, Briggs RW et al (2010) Seismic hazard of the Enriquillo–Plantain Garden fault in Haiti inferred from palaeoseismology. Nat Geosci 3(11):789–793

    Google Scholar 

  • Rathje EM, Saygili G (2008) Probabilistic seismic hazard analysis for the sliding displacement of slopes: scalar and vector approaches. J Geotech Geoenviron Eng 134(6):804–814

    Google Scholar 

  • Rodriguez-Marek A, Rathje EM, Bommer JJ, Scherbaum F, Stafford PJ (2014) Application of single-station sigma and site-response characterization in a probabilistic seismic-hazard analysis for a new nuclear site. Bull Seismol Soc Am 104(4):1601–1619

    Google Scholar 

  • Rojas-Mercedes NJ, Di Sarno L, Simonelli AL, Penna A (2020) Seismic risk of critical facilities in the Dominican Republic: case study of school buildings. Soft Comput 24(18):13579–13595

    Google Scholar 

  • SODOSISMICA (2009). Estudio de amenaza sísmica de la República para las normas sísmica.

    Google Scholar 

  • Sykes LR, Menke W (2006) Repeat times of large earthquakes: Implications for earthquake mechanics and long-term prediction. Bull Seismol Soc Am 96(5):1569–1596

    Google Scholar 

  • Villaverde. (2009) Fundamental concepts of earthquake engineering. CRC Press, Taylor and Francis Group, Boca Raton, FL. USA

    Google Scholar 

  • Wells DL, Coppersmith KJ (1994) New empirical relationships among magnitude, rupture length, rupture width, rupture area, and surface displacement. Bull Seismol Soc Am 84(4):974–1002

    Google Scholar 

  • Wen YK, Wu CL (2001) Uniform hazard ground motions for mid-America cities. Earthq Spectra 17(2):359–384

    Google Scholar 

  • Youngs RR, Coppersmith KJ (1985) Implications of fault slip rates and earthquake recurrence models to probabilistic seismic hazard estimates. Bull Seismol Soc Am 75:939–964

    Google Scholar 

  • Youngs RR, Chiou S-J, Silva WJ, Humphrey JR (1997) Strong ground motion attenuation relationships for subduction zone earthquakes. Seismol Res Lett 68:58–73

    Google Scholar 

  • Zhao JX, Zhang J, Asano A, Ohno Y, Oouchi T, Takahashi T, Ogawa H, Irikura K, Thio HK, Somerville PG, Fukushima Y, Fukushima Y (2006) Attenuation relations of strong ground motion in Japan using site classification based on predominant period. Bull Seismol Soc Am 96:898–913

    Google Scholar 

Download references

Acknowledgments

This research was partially supported by the Instituto Tecnológico de Santo Domingo (INTEC) and the Ministerio de Educación Superior Ciencia y Tecnología (MESCYT) of the Dominican Republic through the FONDOCYT program through project 2022-3A2-107. The support is gratefully acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kalil Erazo.

Ethics declarations

Competing interests

The author declares no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

The uniform hazard spectra and hazard maps that resulted from the probabilistic seismic hazard analysis presented in this study differ considerably from those available in the current Dominican Republic seismic design code. This difference is attributed to the earthquake recurrence models and the ground motion prediction equations (GMPE) employed for spatio-temporal characterization of ground motion parameters.

To illustrate this, Figure 15 shows the earthquake recurrence models used in this study (a composite characteristic earthquake CE model) and the current DR building code (an unbounded Gutenberg-Richter GR model with parameters a = 1.98 and b = 0.49) for the Septentrional fault (SODOSISMICA, 2009); the figure also depicts the resulting probability density function (PDF) for earthquake magnitude at the fault. Fig. 15a shows the observed catalog seismicity of the DR, according to the non-profit organization SODOSISMICA (SODOSISMICA, 2009); the data in this catalog is based on earthquakes that occurred mostly within the last 30 years, which is considered insufficient for model calibration purposes as evidenced by the significantly small 0.49 b-value. The GR model (2009) adopted in the DR building code and shown in the figure is based on this seismicity data.

Fig. 15
figure 15

Comparison of the recurrence models adopted in the current DR building code (unbounded Gutenberg-Richter GR model) and this study (composite characteristic earthquake CE model); a cumulative earthquake rates, and b probability density functions (PDF)

As can be seen, the earthquake rates estimated by the unbounded GR model are larger than those estimated by the characteristic model adopted in this study, particularly in the range close to the characteristic magnitude MW 7.8. The unbounded GR model used in the DR building code was calibrated using a catalog data that included 166 earthquakes in the range 3 ≤ Mw ≤ 5 and 8 earthquakes with Mw > 6 (SODOSISMICA, 2009); the catalog observation data used in SODOSISMICA (2009) is shown in Fig. 15. Note that although the recurrence rates of the GR model are higher than those estimated by the CE model, the probability of earthquakes of magnitude Mw > 6 (and the ground motion parameters associated with them) receive a small weight due to the PDF P(m) shown in Fig. 15b when integrated into the hazard equation (Equation 1); indeed, the PDF of earthquake magnitude based on the GR model is almost two orders of magnitude smaller than the PDF based on the composite characteristic model for the range 6.5 ≤ Mw ≤ 7.8 due to the wider domain of the former.

In essence, according to the model used in the current DR seismic code, the majority of the seismic moment is released by earthquakes with magnitude in the range 3 < Mw < 6, which in turn are associated with small ground motion parameter values resulting in a lower seismic hazard than the model employed in this study. Similarly, the rate of large ground motion parameters is small since the term P(Y > y) is penalized due to the small weight provided by P(m) for the earthquake magnitude more likely to generate large ground motion response parameters. This chiefly results in lower estimates of the recurrence rate of large ground motion intensity measure values and partially justifies the increase in the seismic hazard of this study with respect to the existing building code.

The second major PSHA input that considerably differs from that adopted in the current DR building code is the set of GMPE employed. Figure 16 depicts the GMPE median and standard deviation for the models used in this study for the Septentrional fault, as well as the model adopted in the current DR code (Campbell, 1997).

Fig. 16
figure 16

Comparison of ground motion prediction equations (GMPE) adopted in the current DR building code (Campbell 97—C97) and this study for crustal faults (NGA-West2 models); a median PGA, and b PGA standard deviation (logarithmic units)

As can be seen, although the median ground motion intensity measures are within the same range, the standard deviation estimated by the NGA-West2 models is considerably larger than the corresponding standard deviation estimated by the Campbell 1997 (C97) model for small distances that are associated with strong shaking. The smaller uncertainty associated with the C97 model implies that ground motion parameter values larger than the median (which are associated with strong shaking) receive a small weight when integrated by P(Y > y | m, r) in Equation 1, resulting in a small probability and rate for such parameter values.

The Campbell 1997 (C97) model is outdated and more recent models (such as the NGA-West2 models) have been developed over the last 20 years using strong motion data from a significantly expanded database. Moreover, only the Campbell 1997 model was used to develop the current DR hazard maps, including regions with subduction zones for which the model does not apply (SODOSISMICA, 2009).

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.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Erazo, K. Updated seismic hazard curves, maps, and spectra for the northern Dominican Republic using a probabilistic seismic hazard analysis. J Seismol 27, 409–428 (2023). https://doi.org/10.1007/s10950-023-10150-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10950-023-10150-y

Keywords

Navigation