Applicability of Two Newmark Models in the Assessment of Coseismic Landslide Hazard and Estimation of Slope-Failure Probability: An Example of the 2008 Wenchuan M w 7.9 Earthquake Affected Area

Siyuan Ma, Chong Xu

Journal of Earth Science ›› 2019, Vol. 30 ›› Issue (5) : 1020-1030.

Journal of Earth Science ›› 2019, Vol. 30 ›› Issue (5) : 1020-1030. DOI: 10.1007/s12583-019-0874-0
Seismology, Mathematical and Remote Sensing Geology

Applicability of Two Newmark Models in the Assessment of Coseismic Landslide Hazard and Estimation of Slope-Failure Probability: An Example of the 2008 Wenchuan M w 7.9 Earthquake Affected Area

Author information +
History +

Abstract

This paper presents the landslide hazard assessment and slope-failure function using two Newmark displacement models regressed by regional and global station records. Taking the 2008 Wenchuan M w 7.9 earthquake area as an example, based on the topographic and geological data of the study area, we prepared a factor-of-safety (Fs) map and a critical acceleration (a c) map, respectively. Then using these two simplified Newmark models, two displacement maps were compiled by combining the a c map and peak ground acceleration (PGA) map. By virtue of the actual landslide inventory of the W enchuan earthquake, we constructed the slope-failure probability curves of the two Newmark models. The results show that the abilities to predict landslide occurrence of the two simplified Newmark models are largely identical, by which the assessment results can well delineate the macroscopic distribution of coseismic landslides, and most predicted landslide cells are distributed on the two sides of the Beichuan-Yingxiu fault, especially Pengguan complex rock mass in the hanging wall of this fault. The probability equations of two Newmark models are roughly the same, though the parameters vary slightly. The probability equation proposed in this paper can be applied to the Wenchuan region and other areas with similar tectonic environments.

Keywords

Wenchuan earthquake / seismic landslides / Newmark displacement / peak ground acceleration (PGA)

Cite this article

Download citation ▾
Siyuan Ma, Chong Xu. Applicability of Two Newmark Models in the Assessment of Coseismic Landslide Hazard and Estimation of Slope-Failure Probability: An Example of the 2008 Wenchuan M w 7.9 Earthquake Affected Area. Journal of Earth Science, 2019, 30(5): 1020‒1030 https://doi.org/10.1007/s12583-019-0874-0

References

Bojadjieva J, Sheshov V, Bormard C. Hazard and Risk Assessment of Earthquake-Induced Landslides-Case Study. Landslides, 2018, 15(1): 161-171.
CrossRef Google scholar
Bray J D. Simplified Procedure for Estimating Earthquake-Induced Deviatoric Slope Displacements. Journal of Geotechnical and Geoenvironmental Engineering, 2007, 133: 381-392.
CrossRef Google scholar
Chen X L, Liu C G, Yu L, . Critical Acceleration as a Criterion in Seismic Landslide Susceptibility Assessment. Geomorphology, 2014, 217: 15-22.
CrossRef Google scholar
Chen X L, Yuan R M, Yu L. Applying the Newmark’s Model of the Assessment of Earthquake-Triggered Landslides during the Lushan Earthquake. Seismology and Gelogy, 2014, 35(3): 661-670.
Chousianitis K, Del Gaudio V, Kalogeras L, . Predictive Model of Arias Intensity and Newmark Displacement for Regional Scale Evaluation of Earthquake-Induced Landslide Hazard in Greece. Soil Dynamics and Earthquake Engineering, 2014, 65: 11-29.
CrossRef Google scholar
Cui S, Pei X, Wang G, . Initiation of a Large Landslide Triggered by Wenchuan Earthquake Based on Ring Shear Tests. Chinese Journal ofGeotecfmical Engineering, 2010, 39(12): 2268-2277.
Dai F C, Xu C, Yao X, . Spatial Distribution of Landslides Triggered by the 2008 Ms 8.0 Wenchuan Earthquake, China. Journal of Asian Earth Sciences, 2011, 40(4): 883-895.
CrossRef Google scholar
Deng Q D. Chinese Active Tectonic Map, 2007, Beijing: Seismological Press
Di B F, Stamatopoulos C A, Dandoulaki M, . A Method Predicting the Earthquake-Induced Landslide Risk by Back Analyses of Past Landslides and Its Application in the Region of the Wenchuan 12/5/2008 Earthquake. Natural Hazards, 2016, 85(2): 903-927.
CrossRef Google scholar
Dreyfus D K. A Comparison of Methodologies Used to Predict Earthquake-Induced Landslides: [Dissertation], 2011, Texas: University of Texas
Dreyfus D K, Rathje E M, Jibson R W. The Influence of Different Simplified Sliding-Block Models and Input Parameters on Regional Predictions of Seismic Landslides Triggered by the Northridge Earthquake. Engineering Geology, 2013, 163: 41-54.
CrossRef Google scholar
Gallen S F, Clark M K, Godt J W, . Application and Evaluation of a Rapid Response Earthquake-Triggered Landslide Model to the 25 April 2015Mw 7.8 Gorkha Earthquake, Nepal. Jectonophysics, 2017, 714/715: 173-187.
CrossRef Google scholar
Ge H, Chen Q G, Wang D W. The Assessment and Mapping of Seismic Landslide Hazards: A Case Study of Yingxiu Area, Sichuan Province. Geology in China, 2013, 2: 644-652.
Godt J W, Sener B, Verdin K L, . Rapid Assessment of Earthquake-Induced Landsliding. Proceedings of the First World Landslide Fonun, Tokyo, 2008.
Harp E L, Jibson R W. Inventory of Landslides Triggered by the 1994 Northridge, California Earthquake. Bulletin of the Seismological Society of America, 1996, 86(1): S319-S332.
Hsieh S Y, Lee C T. Empirical Estimation of the Newark Displacement from the Arias Intensity and Critical Acceleration. Engineering Geology, 2011, 122(112): 34-42.
CrossRef Google scholar
Huang R Q, Li W L. Analysis of the Geo-Hazards Triggered by the 12 May 2008 Wenchuan Earthquake, China. Bulletin of Engineering Geology and the Environment, 2009, 68(3): 363-371.
CrossRef Google scholar
Jasper J C, Cook N G W. Foodamentals of Rock Mechanics, 1969, London: Methuen and Company, 513.
Jibson R W. Predicting Earthquake-Induced Landslide Displacements Using Newmark’s Sliding Block Analysis. Transportation Research Record, 1993, 1411: 9-17.
Jibson R W, Harp E L, Michael J A. A Method for Producing Digital Probabilistic Seismic Landslide Hazard Maps. Engineering Geology, 2000, 58(3/4): 271-289.
CrossRef Google scholar
Jibson R W. Regression Models for Estimating Coseismic Landslide Displacement. Engineering Geology, 2007, 91(2/3/4): 209-218.
CrossRef Google scholar
Jibson R W, Harp E L, Michael J A. A Method for Producing Digital Probabilistic Seismic Landslide Hazard Maps: An Example from the Los Angeles, California Area. Open-File Report, California, 1998.
Jibson R W, Michael J A. Maps Showing Seismic Landslide Hazards in Anchorage, Alaska, 2009.
Jibson R W. Methods for Assessing the Stability of Slopes during Earthquakes-A Retrospective. Engineering Geology, 2011, 122(112): 43-50.
CrossRef Google scholar
Jibson R W, Rathje E M, Jibson M W, . SLAMMER: Seismic Landslide Movement Modeled Using Earthquake Records, 2013, Reston Virginia: Geologic Hazards Science Center, USGS
Kargel J S, Leonard G J, Shugar D H, . Geomorphic and Geologic Controls of Geohazards Induced by Nepals 2015 Gorkha Earthquake. Science, 2016, 351(6269): aac8353-aac8353.
CrossRef Google scholar
Keefer D K. Landslides Caused by Earthquakes. Geological Society of America Bulletin, 1984, 95 4 406
CrossRef Google scholar
Li X J, Liu L, Wang Y S, . Analysis of Horizontal Strong-Motion Attenuation in the Great 2008 Wenchuan Earthquake. Bulletin of the Seismological Society of America, 2010, 100(5B): 2440-2449.
CrossRef Google scholar
Liu H B, Ling H I. Seismic Responses of Reinforced Soil Retaining Walls and the Strain Softening of Backfill Soils. International Journal of Geomechanics, 2012, 12(4): 351-356.
CrossRef Google scholar
Liu J M, Wang T, Shi J S, . Emergency Rapid Assessment of Landslides Induced by the Jiuzhaigou Ms 7.0 earthquake, Sichuan, China. Journal ofGeomechnics, 2017, 639-645.
Ma S Y, Xu C. Assessment of Co-Seismic Landslide Hazard Using the Newmark Model and Statistical Analyses: A Case Study of the 2013 Lushan, China, Mw 6.6 Earthquake. Natural Hazards, 2019, 96(1): 389-412.
CrossRef Google scholar
McCrink T P. Regional Earthquake-Induced Landslide Mapping Using Newmark Displacement Criteria, 2001.
Meehan C L, Vahedifard F. Evaluation of Simplified Methods for Predicting Earthquake-Induced Slope Displacements in Earth Dams and Embankments. Engineering Geology, 2013, 152(1): 180-193.
CrossRef Google scholar
Miles S B, Ho C L. Rigorous Landslide Hazard Zonation Using Newmark’s Method and Stochastic Grmmd Motion Simulation. Soil Dynamics and Earthquake Engineering, 1999, 18(4): 305-323.
CrossRef Google scholar
Ministry of Construction of the People’s Republic of China Code for Geotechnical Engineering Investigation GB 50021-2001(2009), 2009, Beijing: National Bureau of Quality Inspection
Ministry of Water Resources of the People’s Republic of China Standard for Engineering Classification of Rock Masses GB/T 50218-2014, 2014, Beijing: Standards Press of China
Newmark N M. Effects of Earthquakes on Dams and Embankments. Géotechnique, 1965, 15(2): 139-160.
CrossRef Google scholar
Nowicki Jessee MA, Hamburger M W, Allstadt K, . A Global Empirical Model for Near-Real-Time Assessment of Seismically Induced Landslides. Journal of Geophysical Research: Earth Surface, 2018, 123(8): 1835-1859.
Rao G, Cheng Y L, Lin A M, . Relationship between Landslides and Active Normal Faulting in the Epicentral Area of the AD 1556 M-8.5 Huaxian Earthquake, SE Weihe Graben (Central China). Journal of Earth Science, 2017, 28(3): 545-554.
CrossRef Google scholar
Romeo R. Seismically Induced Landslide Displacements: A Predictive Model. Engineering Geology, 2000, 58(3/4): 337-351.
CrossRef Google scholar
Robinson T R, Rosser NJ, Davies T R H, . Near-Real-Time Modeling of Landslide Impacts to Inform Rapid Response: An Example from the 2016 Kaik6ura, New Zealand, Earthquake. Bulletin of the Seismological Society of America, 2018, 108(3B): 1665-1682.
CrossRef Google scholar
Saygili G, Rathje E M. Empirical Predictive Models for Earthquake-Induced Sliding Displacements of Slopes. Journal of Geotechnical and Geoenvironmental Engineering, 2008, 134(6): 790-803.
CrossRef Google scholar
Shao X Y, Ma S Y, Xu C, . Planet Image-Based Inventorying and Machine Learning-Based Susceptibility Mapping for the Landslides Triggered by the 2018 Mw 6.6 Tomakomai, Japan Earthquake. Remote Sensing, 2019, 11 8 978
CrossRef Google scholar
Sharifi-Mood M, Olsen M J, Gillins D T, . Performance-Based, Seismically-Induced Landslide Hazard Mapping of Western Oregon. Soil Dynamics and Earthquake Engineering, 2017, 103: 38-54.
CrossRef Google scholar
Sun P, Wang F, Yin Y, . An Experimental Study on the Mechanism of Rapid and Long Roo-out Landslide Triggered by Wenchuan Earthquake. Seismology and Geology, 2010, 32(1): 98-106.
Tang C, Qi X, Ding J, . Dynamic Analysis on Rainfall-Induced Landslide Activity in High Seismic Intensity Areas of the Wenchuan Earthquake Using Remote Sensing Image. Earth Science-Journal of China University of Geosciences, 2010, 35(2): 317-323.
CrossRef Google scholar
Tian Y Y, Xu C, Xu X W, . Detailed Inventory Mapping and Siyuan Ma and Chong Xu Spatial Analyses to Landslides Induced by the 2013 Ms 6.6 Minxian Earthquake of China. Journal of Earth Science, 2016, 27(6): 1016-1026.
CrossRef Google scholar
Wang G H, Huang R Q, Lourenço S D N, . A Large Landslide Triggered by the 2008 Wenchuan (M8.0) Earthquake in Donghekou Area: Phenomena and Mechanisms. Engineering Geology, 2014, 182: 148-157.
CrossRef Google scholar
Wang T, Wu S R, Shi J S, . Case Study on Rapid Assessment of Regional Seismic Landslide Hazard Based on Simplified Newmark Displacement Model: Wenchuan M s 8.0 Earthquake. Journal of Engineering Geology, 2013, 21(1): 16-24.
CrossRef Google scholar
Wen Z, Xie J, Gao M, . Near-Source Strong Groood Motion Characteristics of the 2008 Wenchuan Earthquake. Bulletin of the Seismological Society of America, 2010, 100(5B): 2425-2439.
CrossRef Google scholar
Wilson R C, Keefer D K. Dynamic Analysis of a Slope Failure from the 6 August 1979 Coyote Lake, California, Earthquake. Bulletin of the Deismological Society of America, 1983, 73(3): 863-877.
Xu C, Xu X W, Dai F C, . Application of an Incomplete Landslide Inventory, Logistic Regression Model and Its Validation for Landslide Susceptibility Mapping Related to the May 12, 2008 Wenchuan Earthquake of China. Natural Hazards, 2013, 68(2): 883-900.
CrossRef Google scholar
Xu C, Xu X W, Yao Q, . GIS-Based Bivariate Statistical Modelling for Earthquake-Triggered Landslides Susceptibility Mapping Related to the 2008 Wenchuan Earthquake, China. Quarterly Journal of Engineering Geology and Hydrogeology, 2013, 46(2): 221-236.
CrossRef Google scholar
Xu C, Xu X W, Yao X, . Three (nearly) Complete Inventories of Landslides Triggered by the May 12, 2008 Wenchuan Mw 7.9 Earthquake of China and Their Spatial Distribution Statistical Analysis. Landslides, 2014, 11(3): 441-461.
CrossRef Google scholar
Xu C, Xu X W, Tian Y Y, . Two Comparable Earthquakes Produced Greatly Different Coseismic Landslides: The 2015 Gorkha, Nepal and 2008 Wenchuan, China Events. Journal of Earth Science, 2016, 27(6): 1008-1015.
CrossRef Google scholar
Xu C, Ma S Y, Tan Z B, . Landslides Triggered by the 2016 Mj 7.3 Kumamoto, Japan, Earthquake. Landslides, 2018, 15(3): 551-564.
CrossRef Google scholar
Xu G X, Yao L K, Li C H, . Predictive Models for Permanent Displacement of Slopes Based on Recorded Strong-Motion Data of Wenchuan Earthquake. Chinese Journal of Geotechnical Engineering, 2012, 34(6): 1131-1136.
Xu L, Dai F, Min H, . Loess Landslide Types and Topographic Features at South Jingyang Plateau, China. Earth Science-Journal of China University of Geosciences, 2010, 35(1): 155-160.
CrossRef Google scholar
Xu X W, Wen X Z, Yu G H, . Coseismic Reverse- and Oblique-Slip Surface Faulting Generated by the 2008 Mw 7.9 Wenchuan Earthquake, China. Geology, 2009, 37(6): 515-518.
CrossRef Google scholar
Yin Y P, Wang F W, Sun P. Landslide Hazards Triggered by the 2008 Wenchuan Earthquake, Sichuan, China. Landslides, 2009, 6(2): 139-152.
CrossRef Google scholar

Accesses

Citations

Detail

Sections
Recommended

/