Analysis of the geo-hazards triggered by the 12 May 2008 Wenchuan Earthquake, China

Huang, Runqiu; Li, Weile

doi:10.1007/s10064-009-0207-0

Cited by 330 publications

(154 citation statements)

References 11 publications

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“…In this paper, 196,007 landslides, with an area of 1,150.622 km 2 , were used to perform seismic landslide spatial analysis, which can be compared with the 56,000 landslides, with a total area of approximately 811 km 2 , studied by Dai et al (2011); the nearly 60,000 landslides studied by Gorum et al (2011); and the 11,306 landslides studied by Huang and Li (2009). The number and area of the new (nearly) complete landslide inventory is approximately 350 and 142 % of the results from Dai et al (2011), approximately 327 % of the results from Gorum et al (2011), and approximately 1,734 % of the results from Huang and Li (2009) based on the number of landslides. Therefore, there is a large difference between the new inventories and these previously published papers, especially the point inventories.…”

Section: Correlations With Seismic Parametersmentioning

confidence: 99%

“…A detailed, comprehensive, and accurate earthquake-triggered landslide inventory is an essential part of improving the understanding of seismic landslide hazard analysis (e.g., Keefer 2002;Harp et al 2011a;Guzzetti et al 2012). After the 2008 Wenchuan earthquake, some landslide inventories were compiled (e.g., Dai et al 2011;Xu et al 2009a;Gorum et al 2011;Huang and Li 2009;Parker et al 2011;Chigira et al 2010;Yin et al 2010a;Qi et al 2010;Li et al 2009;Han et al 2009;Di et al 2010;Chen et al 2009;Ren and Lin 2010;Zhang et al 2010), and correlations of landslide occurrence with geologic and geomorphologic conditions as well as seismic parameters were constructed. However, almost all of the inventories are either incomplete or only record landslide locations; no landslide inventories are comprehensive considering the following seismic landslide mapping criteria: (1) coverage of the entire area affected by landslides, (2) inclusion of all landslides down to a small enough scale, and (3) depiction of landslides as polygons rather than points (Harp et al 2011a).…”

Section: Introductionmentioning

confidence: 99%

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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

et al. 2013

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Section: Correlations With Seismic Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2013

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“…This phenomenon also existed in other affected areas of the Ludian earthquake, where the landslide density increased with increasing slope gradient, regarding the coseismic landslides triggered by the Ludian earthquake. Slope gradients have a great influence on the landslides triggered by the earthquake because there is the effect of ground-shaking amplification on higher topographic positions (Malamud et al 2004;Meunier et al 2007;Huang & Li 2009). …”

Section: Influence Of Slope Aspect and Gradientmentioning

confidence: 99%

Landslides triggered by the 3 August 2014 Ludian earthquake in China: geological properties, geomorphologic characteristics and spatial distribution analysis

Zhou

Hao

2015

Geomatics, Natural Hazards and Risk

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On 3 August 2014, an earthquake of Mw 6.5 happened in Ludian County, Yunnan Province, China. This earthquake triggered hundreds of landslides of various types, dominated by shallow slides, deep-seated slides, rock falls, debris flow and unstable slopes. Using field investigations and remote sensing images, 413 landslides triggered by the Ludian earthquake were statistically analyzed. Statistical analyses show that most of the landslides are shallow slides with a small volume. Most of these landslides are concentrated near the epicentre with distances ranging from 6À12 km, especially at the upper slope along the river valley. The number of landslides increased with increasing distance from the epicentre (0À9 km) and then decreased with increasing distance from the epicentre (>9 km). The landslides decreased in density with increasing distance from the fault rupture. More than 70% of the landslides occurred on the right side of the XiyuheZhaotong fault, when viewed from Southwest (SW) to Northeast (NE). Slope aspect and gradient had a substantial influence on the landslide distribution and landslide density increased with increasing slope gradient. Approximately, 65% of the landslides happened at the back slope with respect to the earthquake epicentre.

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“…Landslides are widely distributed in the mountainous areas of western China [1,2]. Especially after the Wenchuan Earthquake in 2008 in China (Mw 7.9 or Ms 8.0), a large number of landslides were triggered and received considerable attention [3].…”

Section: Introductionmentioning

confidence: 99%

Hybrid-SAR Technique: Joint Analysis Using Phase-Based and Amplitude-Based Methods for the Xishancun Giant Landslide Monitoring

Lü

Chun

et al. 2016

Remote Sensing

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Early detection and early warning are of great importance in giant landslide monitoring because of the unexpectedness and concealed nature of large-scale landslides. In China, the western mountainous areas are prone to landslides and feature many giant complex landslides, especially following the Wenchuan Earthquake in 2008. This work concentrates on a new technique, known as the "hybrid-SAR technique", that combines both phase-based and amplitude-based methods to detect and monitor large-scale landslides in Li County, Sichuan Province, southwestern China. This work aims to develop a robust methodological approach to promptly identify diverse landslides with different deformation magnitudes, sliding modes and slope geometries, even when the available satellite data are limited. The phase-based and amplitude-based techniques are used to obtain the landslide displacements from six TerraSAR-X Stripmap descending scenes acquired from November 2014 to March 2015. Furthermore, the application circumstances and influence factors of hybrid-SAR are evaluated according to four aspects: (1) quality of terrain visibility to the radar sensor; (2) landslide deformation magnitude and different sliding mode; (3) impact of dense vegetation cover; and (4) sliding direction sensitivity. The results achieved from hybrid-SAR are consistent with in situ measurements. This new hybrid-SAR technique for complex giant landslide research successfully identified representative movement areas, e.g., an extremely slow earthflow and a creeping region with a displacement rate of 1 cm per month and a typical rotational slide with a displacement rate of 2-3 cm per month downwards and towards the riverbank. Hybrid-SAR allows for a comprehensive and preliminary identification of areas with significant movement and provides reliable data support for the forecasting and monitoring of landslides.

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Analysis of the geo-hazards triggered by the 12 May 2008 Wenchuan Earthquake, China

Cited by 330 publications

References 11 publications

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

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 triggered by the 3 August 2014 Ludian earthquake in China: geological properties, geomorphologic characteristics and spatial distribution analysis

Hybrid-SAR Technique: Joint Analysis Using Phase-Based and Amplitude-Based Methods for the Xishancun Giant Landslide Monitoring

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