Statistical analysis of landslides caused by the Mw 6.9 Yushu, China, earthquake of April 14, 2010

Xu, Chong; Xu, Xiwei

doi:10.1007/s11069-014-1038-2

Cited by 74 publications

(21 citation statements)

References 40 publications

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“…The distance effect of the seismogenic fault and the different paragraph effects have significant control effects on the landslide. For example, in terms of a distance effect, landslides are mostly distributed along the seismogenic fault [2,38,39]. Regarding the effect of different paragraphs, the ability to trigger landslides is also significantly different due to the different nature of the seismogenic faults and the amount of energy released.…”

Section: Influence Factorsmentioning

confidence: 99%

Effects of Seismogenic Faults on the Predictive Mapping of Probability to Earthquake-Triggered Landslides

Shao

et al. 2019

IJGI

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The seismogenic fault is crucial for spatial prediction of co-seismic landslides, e.g., in logistic regression (LR) analysis considering influence factors. On one hand, earthquake-induced landslides are usually densely distributed along the seismogenic fault; on the other hand, different sections of the seismogenic fault may have distinct landslide-triggering capabilities due to their different mechanical properties. However how the feature of a fault influence mapping of landslide occurrence probability remains unclear. Relying on the landslide data of the 2013 Lushan, China Mw 6.6 earthquake, this study attempted to further address this issue. We quantified the seismogenic fault effects on landslides into three modes: the distance effect, the different part effects, and the combined effects of the two. Four possible cases were taken into consideration: zoning the study area vertical and parallel to the fault (case 1), zoning the study area only vertical to the fault (case 2), zoning the study area only parallel to the fault (case 3), and without such study-area zonations (case 4). Using the LR model, predictive landslide probability maps were prepared on these four cases. The model also fully considered other influencing factors of earthquake landslides, including elevation, slope, aspect, topographic wetness index (TWI), peak ground acceleration (PGA), lithology, rainfall, distance from the epicenter, distance from the road, and distance from the river. Then, cross-comparisons and validations were conducted on these maps. For training datasets, results show that the success rates of earthquake-triggered landslides for the former three scenarios were 85.1%, 84.2%, and 84.7%, respectively, while that of the model for case 4 was only 84%. For testing datasets, the prediction rates of the four LRs were 84.45%, 83.46%, 84.22%, and 83.61%, respectively, as indicated by comparing the test dataset and the landslide probability map. This means that the effects of the seismogenic fault, which are represented by study-area zonations vertical and parallel to the fault proper, are significant to the predictive mapping of earthquake-induced landslides.

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Section: Influence Factorsmentioning

confidence: 99%

Effects of Seismogenic Faults on the Predictive Mapping of Probability to Earthquake-Triggered Landslides

Shao

et al. 2019

IJGI

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“…Each definition was classified as either frequency-independent or frequency-dependent according to whether the entire accelerogram is employed in the calculation of duration or whether it is first passed through a narrowband fitter. Furthermore, each definition was also classified according to whether the criteria used to distinguish the strong motion portion of the accelerograms are absolute or their relative values applied to the accelerogram [34][35][36][37][38][39][40].…”

Section: Classification Of Duration Definitionsmentioning

confidence: 99%

An Assessment of the Influence of Earthquake Duration in Inducing Landslides

Moses¹,

Türk²

2016

J Geogr Nat Disast

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Earthquake duration is a complex natural phenomenon associated with the sudden energy release induced by fault rupture. The shaking during an earthquake is a result of the primary, secondary and surface waves. This study is aimed at establishing the relationship between earthquake duration and other seismic parameters: magnitude, peak ground acceleration, focal distance, fault length in relation to landslides generated by the major earthquakes. To achieve this objective, we made an intensive review of published data on major earthquakes (Mw ≥ 6.6) that generated landslides between 1998 and 2015 in the world. The results reveal that magnitude, focal length and focal depth times fault length are strong determinants of earthquake duration. However, it is noted that peak ground acceleration (PGA) and focal depth do not necessarily determine the duration of earthquake shaking. It is also observed that duration of an earthquake is moderately correlated to area affected by earthquake induced landslides. Additionally, much as the number of landslides produced during and/or after an earthquake does not necessarily augment with increasing duration majority of the investigated major earthquakes that produced great damage, with respect to landslides, were noticed to have lasted for not more than 60 seconds.

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“…In 2008, about 197,481 slope failures were triggered by Wenchuan earthquake of China (M w 7.9 or M s 8.0) Xu et al 2014c), and the phenomena of seismic liquefaction and subsidence were also observed (Huang and Jiang 2010;Huang et al 2011Huang et al , 2012b. The Yushu, China, earthquake in 2010 (M w 6.9) triggered more than 2,036 coseismic landslides with a total coverage area of 1.194 km 2 (Xu and Xu 2014). The Port-auPrince, Haiti earthquake in 2010 (M w 7.0) induced more than 30,828 slope failures, which distributed in an area larger than 3,000 km 2 , and covered about 15.736 km 2 with an estimated landslide erosion volume about 29,700,000 m 3 (Xu et al 2014a).…”

Section: Introductionmentioning

confidence: 99%

Seismic response of embankment slopes with different reinforcing measures in shaking table tests

et al. 2014

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In order to study the seismic response of the embankment slopes with different reinforcing measures, shaking table tests were performed on three embankment slope models (i.e., unreinforced embankment slope, 2-layer reinforced embankment slope and 4-layer reinforced embankment slope). Wenchuan earthquake motions and white noise excitations were performed to investigate the change of the model parameters, the horizontal acceleration response, the vertical acceleration response and the dynamic earth pressure response of embankment slopes. A comparison was made on the seismic response among the embankment slopes with different reinforcing measures. The results show that the natural frequency of reinforced embankment slope is larger than that of unreinforced embankment slope, and the reinforced embankment slope is less sensitive to seismic excitation. Horizontal acceleration response is obviously amplified by embankment slope. Horizontal acceleration magnification presents a decreasing trend with the increase of the peak value of input horizontal acceleration, and the decreasing ratio is higher for reinforced embankment slope. The vertical acceleration magnification of reinforced embankment slope is much smaller than that of unreinforced embankment slope, and the nonlinear characteristic of embankment slope in vertical direction is not as obvious as that in horizontal direction. Residual earth pressure is mainly induced at the upper part of embankment slope.

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Statistical analysis of landslides caused by the Mw 6.9 Yushu, China, earthquake of April 14, 2010

Cited by 74 publications

References 40 publications

Effects of Seismogenic Faults on the Predictive Mapping of Probability to Earthquake-Triggered Landslides

Effects of Seismogenic Faults on the Predictive Mapping of Probability to Earthquake-Triggered Landslides

An Assessment of the Influence of Earthquake Duration in Inducing Landslides

Seismic response of embankment slopes with different reinforcing measures in shaking table tests

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