Strong Ground Motion in Bangladesh and North-East Indian Region from 2005 to 2017 and Its Prediction of Attenuation Data
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ORIGINAL PAPER
Strong Ground Motion in Bangladesh and North-East Indian Region from 2005 to 2017 and Its Prediction of Attenuation Data during Future Earthquakes Tanzila Tabassum
. Mehedi Ahmed Ansary
Received: 27 January 2020 / Accepted: 6 June 2020 Ó Springer Nature Switzerland AG 2020
Abstract Strong ground motion records are most significant as it provides the contextual for seismic resilient design analysis. Peak acceleration attenuation relations for horizontal and vertical components from 2005 to 2017 are presented for Bangladesh and NorthEast Indian region based on 1608 three-component component (North–South, East–West and Vertical) accelerograms related to 160 earthquakes. The dataset consists of earthquakes with moment magnitudes from 2 to 8 with hypocentral distances up to 1000 km as recorded on 163 stations. All these strong ground motion recording stations are operated by Indian Meteorological Department in North-East Indian region and Bangladesh. The goal of this research is to acquire strong ground-motion data and develop predictive attenuation equations by multistage regression for the study region using models proposed by Joyner and Boore (Bull Seismol Soc Am 71(6):2011–2038, 1981) and Bommer and Akkar (Earthq Spectra 28(1):1–15, 2012). In this research, ground-motion prediction attenuation equations are constructed for both horizontal and vertical ground T. Tabassum (&) Department of Civil and Environmental Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA e-mail: [email protected] M. A. Ansary Department of Civil Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
motions (e.g. peak ground acceleration, peak ground velocity) and spectral values (0.3 s, 1.0 s, 2.0 s.) for rock and firm soil. The predictive values of horizontal and vertical component for firm soil site are larger than those of rock site under the same conditions for a given earthquake event. This study also proves that, predictive attenuation model residuals are distance and magnitude independent for rock and firm soil site categories. This research reveals that rock site data fits relatively well with Bommer and Akkar (2012) model whereas firm soil site data fits well with Joyner and Boore (1981) model. Keywords Earthquake Strong ground-motion Attenuation Predictive equation
1 Introduction Over the last few decades, the world has experienced numerous devastating earthquakes (Sieh et al. 2008). As a result of these devastating earthquakes, severe structural damages are occurring in densely populated areas and increasing loss of human life (Dogˇangu¨n 2004). Mechanisms of earthquakes and seismic ground motions are continually advancing (Bolt 2004). To understand and interpret earthquakes and earth structures, more observation stations need to be established for monitoring high quality seismic data.
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Geotech Geol Eng
When enough effective earthquake data are available, statistical analysis of these
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