Volume 43 Issue 6
Dec.  2021
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Li X J,Xu W J,Gao M T. 2021. Characteristics of Arias intensity and Newmark displacement of strong ground motion in Lushan earthquake. Acta Seismologica Sinica,43(6):768−786 doi: 10.11939/jass.20200180
Citation: Li X J,Xu W J,Gao M T. 2021. Characteristics of Arias intensity and Newmark displacement of strong ground motion in Lushan earthquake. Acta Seismologica Sinica43(6):768−786 doi: 10.11939/jass.20200180

Characteristics of Arias intensity and Newmark displacement of strong ground motion in Lushan earthquake

doi: 10.11939/jass.20200180
  • Received Date: 2020-12-29
  • Rev Recd Date: 2021-05-12
  • Available Online: 2021-11-23
  • Publish Date: 2021-12-31
  • The characteristics of spatial distribution, attenuation and correlation of ground motion parameters are important research contents in engineering seismology. In this paper, based on the ground motion records of Lushan earthquake, we study the spatial distribution and attenuation characteristics of Arias intensity and Newmark displacement as well as their correlation with other ground motion parameters, respectively. The results show that the spatial distribution of Arias intensity is related with the spatial distribution of seismic faults and the direction of earthquake rupture. Arias intensity has a good correlation with PGA. Furthermore, the site conditions have a significant effect on the correlation between the two: for the same PGA, the softer the site condition, the greater the Arias intensity. In addition, magnitude is also an important factor affecting the correlation between Arias intensity and PGA: with the same PGA, the greater the magnitude, the greater the Arias intensity. Newmark displacement has a good correlation with both PGA and Arias intensity, among which the correlation with Arias intensity is stronger, and the correlation coefficient can reach above 0.94. The research in this paper also shows that the existing models cannot describe the attenuation characteristics of Arias intensity and Newmark displacement of Lushan earthquake well, which indicates the particularity of Lushan earthquake in both the duration and rupture process. The particularity of Lushan earthquake reveals that the seismic geological and tectonic environment in Western China is significantly different from that in other regions. Therefore, the prediction equations of ground motion parameters suitable for earthquakes in Western China should be studied. The research results of this paper have important scientific significance and application value for us on both understanding the characteristics of ground motion and the prediction and prevention of earthquake disaster in China.


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  • [1]
    Chen Q G,Ge H,Zhou H F. 2011. Mapping of seismic triggered landslide through Newmark method:An example from study area Yingxiu[J]. Coal Geology of China,23(11):44–48 (in Chinese).
    Chen X L,Yuan R M,Yu L. 2013. Applying the Newmark’s model to the assessment of earthquake-triggered landslides during the Lushan earthquake[J]. Seismology and Geology,35(3):661–670 (in Chinese).
    Liu J M,Wang T,Shi J S,Li Z T. 2017. Emergency rapid assessment of landslides induced by the Jiuzhaigou MS7.0 earthquake,Sichuan,China[J]. Journal of Geomechanics,23(5):639–645 (in Chinese).
    Liu J M,Wang T,Shi J S,Xin P,Wu S R. 2018. The influence of different Newmark displacement models on seismic landslide hazard assessment:A case study of Tianshui area,China[J]. Journal of Geomechanics,24(1):87–95 (in Chinese).
    Wang T,Wu S R,Shi J S,Xin P. 2013. Case study on rapid assessment of regional seismic landslide hazard based on simplified Newmark displacement model:Wenchuan MS8.0 earthquake[J]. Journal of Engineering Geology,21(1):16–24 (in Chinese).
    Xu C,Wang S Y,Xu X W,Zhang H,Tian Y Y,Ma S Y,Fang L H,Lu R Q,Chen L C,Tan X B. 2018. A panorama of landslides triggered by the 8 August 2017 Jiuzhaigou,Sichuan MS7.0 earthquake[J]. Seismology and Geology,40(1):232–260 (in Chinese).
    Xu G X,Yao L K,Li C H,Wang X F. 2012. Predictive models for permanent displacement of slopes based on recorded strong-motion data of Wenchuan earthquake[J]. Chinese Journal of Geotechnical Engineering,34(6):1131–1136 (in Chinese).
    Ambraseys N N,Menu J M. 1988. Earthquake-induced ground displacements[J]. Earthq Eng Struct Dyn,16(7):985–1006. doi: 10.1002/eqe.4290160704
    Arias A. 1970. A measure of earthquake intensity[G]//Seismic Design for Nuclear Power Plants. Cambridge, MA, MIT Press: 438–483.
    Bray J D,Travasarou T. 2007. Simplified procedure for estimating earthquake-induced deviatoric slope displacements[J]. J Geotech Geoenviron Eng,133(4):381–392.
    Campbell K W. 2009. Estimates of shear-wave Q and κ0 for unconsolidated and semiconsolidated sediments in eastern North America[J]. Bull Seismol Soc Am,99(4):2365–2392. doi: 10.1785/0120080116
    Campbell K W,Bozorgnia Y. 2012. A comparison of ground motion prediction equations for Arias intensity and cumulative absolute velocity developed using a consistent database and functional form[J]. Earthq Spectra,28(3):931–941. doi: 10.1193/1.4000067
    Du W Q,Wang G. 2016. A one-step Newmark displacement model for probabilistic seismic slope displacement hazard analysis[J]. Eng Geol,205:12–23. doi: 10.1016/j.enggeo.2016.02.011
    Egan J A, Rosidi D. 1991. Assessment of earthquake: Induced liquefaction using ground-motion energy characteristics[C]//Proceedings of the Pacific Conference on Earthquake Engineering. Auckland, New Zealand: 1–8.
    Foulser-Piggott R,Stafford P J. 2012. A predictive model for Arias intensity at multiple sites and consideration of spatial correlations[J]. Earthq Eng Struct Dyn,41(3):431–451. doi: 10.1002/eqe.1137
    Gaudio V D,Pierri P,Wasowski J. 2003. An approach to time-probabilistic evaluation of seismically induced landslide hazard[J]. Bull Seismol Soc Am,93(2):557–569.
    Gülerce Z,Balal O. 2017. Probabilistic seismic hazard assessment for sliding displacement of slopes:An application in Turkey[J]. Bull Earthq Eng,15(7):2737–2760.
    Harp E L,Wilson R C. 1995. Shaking intensity thresholds for rock falls and slides:Evidence from 1987 Whittier Narrows and Superstition Hills earthquake strong-motion records[J]. Bull Seismol Soc Am,85(6):1739–1757.
    Hsieh S Y,Lee C T. 2011. Empirical estimation of the Newmark displacement from the Arias intensity and critical acceleration[J]. Eng Geol,122(1/2):34–42.
    Jibson R W. 1993. Predicting earthquake-induced landslide displacements using Newmark’s sliding block analysis[J]. Transport Res Rec,1411:9–17.
    Jibson R W,Harp E L,Michael J A. 2000. A method for producing digital probabilistic seismic landslide hazard maps[J]. Eng Geol,58(3/4):271–289.
    Jibson R W. 2007. Regression models for estimating coseismic landslide displacement[J]. Eng Geol,91:209–218. doi: 10.1016/j.enggeo.2007.01.013
    Jibson R W, Michael J A. 2009. Maps showing seismic landslide hazards in Anchorage, Alaska[Z]. U. S. Geological Survey Scientific Investigations Map 3077.
    Kayen R E,Mitchell J K. 1997. Assessment of liquefaction potential during earthquakes by Arias intensity[J]. J Geotech Geoenviron Eng,123(12):1162–1174.
    Keefer D K. 2002. Investigating landslides caused by earthquakes: A historical review[J]. Surv Geophys,23:473–510.
    Kramer S L. 1989. Uncertainty in steady state liquefaction evaluation procedures[J]. J Geotech Eng,115(10):1402–1421.
    Kramer S L,Mitchell R A. 2006. Ground motion intensity measures for liquefaction hazard evaluation[J]. Earthq Spectra,22(2):413–438.
    Lee C T,Hsieh B S,Sung C H,Lin P S. 2012. Regional Arias intensity attenuation relationship for Taiwan considering vS30[J]. Bull Seismol Soc Am,102(1):129–142. doi: 10.1785/0120100268
    Liu J M,Gao M T,Xie J J. 2015. Spatial variability and attenuation of Arias intensity during the 1999 Chi-Chi MW7.6 earthquake,Taiwan[J]. Bull Seismol Soc Am,105(3):1768–1778. doi: 10.1785/0120140157
    Liu J M,Wang T,Wu S R,Gao M T. 2016. New empirical relationships between Arias intensity and peak ground acceleration[J]. Bull Seismol Soc Am,106(5):2168–2176. doi: 10.1785/0120150366
    Melgar D,Bock Y,Sanchez D,Crowell B W. 2013. On robust and reliable automated baseline corrections for strong motion seismology[J]. J Geophys Res Solid Earth,118(3):1177–1187. doi: 10.1002/jgrb.50135
    Newmark N M. 1965. Effects of earthquakes on dams and embankments[J]. Géotechnique,15(2):139–160.
    Rathje E M,Saygili G. 2009. Probabilistic assessment of earthquake-induced sliding displacements of natural slopes[J]. Bull NZ Soc Earthq Eng,42(1):18–27.
    Romeo R. 2000. Seismically induced landslide displacements:A predictive model[J]. Eng Geol,58(3/4):337–351.
    Saygili G,Rathje E M. 2008. Empirical predictive models for earthquake-induced sliding displacements of slopes[J]. J Geotech Geoenviron Eng,134(6):790–803. doi: 10.1061/(ASCE)1090-0241(2008)134:6(790)
    Stafford P J,Berrill J B,Pettinga J R. 2009. New predictive equations for Arias intensity from crustal earthquakes in New Zealand[J]. J Seismol,13(1):31–52. doi: 10.1007/s10950-008-9114-2
    Travasarou T,Bray J D,Abrahamson N A. 2003. Empirical attenuation relationship for Arias intensity[J]. Earthq Eng Struct Dyn,32(7):1133–1155. doi: 10.1002/eqe.270
    Urzúa A,Christian J T. 2013. Sliding displacements due to subduction-zone earthquakes[J]. Eng Geol,166:237–244. doi: 10.1016/j.enggeo.2013.08.005
    USGS. 2013. M 6.6: 56 km WSW of Linqiong, China[EB/OL] [2020-03-11]. https://earthquake.usgs.gov/earthquakes/eventpage/usb000gcdd/executive.
    Wald D J,Allen T I. 2007. Topographic slope as a proxy for seismic site conditions and amplification[J]. Bull Seismol Soc Am,97(5):1379–1395. doi: 10.1785/0120060267
    Wang R J,Schurr B,Milkereit C,Shao Z G,Jin M P. 2011. An improved automatic scheme for empirical baseline correction of digital strong-motion records[J]. Bull Seismol Soc Am,101(5):2029–2044. doi: 10.1785/0120110039
    Wilson R C. 1993. Relation of Arias intensity to magnitude and distance in California. Menlo Park, California, U.S. Geological Survey: 93–556.
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