Qualitative and quantitative analysis on landslide influential factors during Wenchuan earthquake: A case study in Wenchuan County

Guo, Deping; Hamada, Mareomi

doi:10.1016/j.enggeo.2012.10.012

Cited by 51 publications

(15 citation statements)

References 12 publications

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“…Related to lithology, the impact of the Wenchuan earthquake and its hundreds of subsequent aftershocks produced more than 5×10 9 m 3 of broken material on the fragile landscape, regardless of rock type (Cui et al 2011). As one is getting closer to the fault lines, more loose material is available, and therefore both frequency and magnitude of debris flows triggered by rainstorms became higher as described also by others (Huang and Li 2009;Dai et al 2011;Gorum et al 2011;Tang et al 2011;Guo and Hamada 2013) In this study, we selected 11 sub-regions close to the main fault because of the higher frequency of debris flows in these areas. In these sub-regions, both the frequency and magnitude of debris flows are more likely to be controlled by rainfall as long as a suitable volume of loose material and steep topography are present (Cui et al 2011).…”

Section: Discussionmentioning

confidence: 60%

Spatial features of debris flows and their rainfall thresholds in the Wenchuan earthquake-affected area

Guo

Cui

et al. 2015

Landslides

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The 2008 Wenchuan earthquake greatly altered the thresholds for rainfall-triggered debris flows within the affected area. Debris flows were widely and densely distributed, and they exhibited a range of differing local rainfall thresholds. This study looked at 518 debris flow events that occurred post-earthquake in order to analyze their spatial characteristics. The duration D (in h) and the average rainfall intensity I (in mm/h) that triggered the debris flows were determined for 252 of these events in order to analyze the spatial features of rainfall thresholds. Results show that 49 % of debris flows occurred in the highest-intensity seismic zone, 58 % occurred within 10 km of active faults, and 49 % occurred in areas with humid climate. Rainfall thresholds in these three regions were persistently lower than others. Moreover, debris flows were most frequent in watersheds smaller than 5 km 2 , and rainfall thresholds tended to decrease with a decrease in watershed size. Given the abundant loose materials available throughout the study area, 11 extreme debris flow-prone sub-regions were selected to illustrate the spatial features of rainfall thresholds in relation to local climate conditions. The lowest and highest I-D thresholds in the sub-regions examined were I=5.94D −0.70 (2

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Section: Discussionmentioning

confidence: 60%

Spatial features of debris flows and their rainfall thresholds in the Wenchuan earthquake-affected area

Guo

Cui

et al. 2015

Landslides

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“…1 ) (Xu et al, 2013a. As in earthquakes of similar magnitude, e.g., the October 17, 1989 California Loma Prieta Mw 6.9 earthquake in USA (Keefer, 2000), the January 17, 1994 Northridge Mw 6.7 in USA (Harp and Jibson, 1996), the 1999 Chi-chi Mw 7.6 in Taiwan, China (Liao et al, 2002;Wang et al, 2002), the October 23, 2004 Japan Niigata Mw 6.6 (Sato et al, 2005), the October 8, 2005 Kashmir Mw 7.6 (Sato et al, 2007), the 2010 Yushu of China Mw 6.9 (Xu et al, 2013b;, the 2010 Haiti Mw 7.0 (Gorum et al, 2013;Harp et al, 2013;, the 2013 Lushan of China Mw 6.6 (Xu, 2013;Xu et al, 2015), the 2013 Minxian of China Mw 5.9 (Xu et al, 2013c(Xu et al, , d, 2014c, as well as other events (Keefer, 1984;Harp et al, 2011;Guo and Hamada, 2013;Xu, 2014a, b), the occurrence of slope failures was controlled by a number of factors, which can be aggregated into three main categories: seismology, topography, and lithology. Each category contains several sub factors.…”

Section: Introductionmentioning

confidence: 94%

Interaction among controlling factors for landslides triggered by the 2008 Wenchuan, China Mw 7.9 earthquake

Shen

Liu

2015

Front. Earth Sci.

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The 12 May 2008 Mw 7.9 Wenchuan, China earthquake triggered about 200,000 landslides, which were controlled by a number of factors. This study examines five factors: slope angle, slope aspect, lithology, peak ground acceleration (PGA), and fault side (relative position on the seismogenic fault, i.e., hanging wall or footwall), to determine how these factors control the co-seismic landslide occurrence and whether one or more factors, acting alone or in concert, are involved in promoting or suppressing landslides. We performed a multi-factor statistical analysis using data from the 2008 Wenchuan earthquake. The results show that in the areas characterized by steep topography or where strong ground shaking occurred during the earthquake, there is a closer relationship between slope aspect and landslide number density (LND) than other areas. The relationship between lithology and LND values depends on PGA. In turn, the relationship between LND values and PGA is also influenced by lithology. In addition, the controlling effect of lithology on co-seismic landslides on the hanging wall of the seismogenic fault is greater than that on the footwall. Examining interactions among these factors can improve understanding of the mechanisms of co-seismic landslide occurrence.

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“…Analogous to the Envisat ASAR data processing, the small baseline criterion "ii" (smaller than 2000 m spatially and 322 days temporally) was firstly employed to generate 48 initial interferograms, as illustrated in Figure 4. The seismic intensity of the earthquake in the study site was in the range of VII-XI Chinese seismic intensity [22]. Characterized by rugged topography, steep high mountains, deep valleys and complicated geological structures, a great number of landslides and rock avalanches were triggered, particularly in Gaojianggou, Shaofanggou, Hongcungou, and Yinxinggou regions.…”

Section: Deforestation Monitoring By Alos Palsarmentioning

confidence: 99%

Synthetic Aperture Radar (SAR) Interferometry for Assessing Wenchuan Earthquake (2008) Deforestation in the Sichuan Giant Panda Site

et al. 2014

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Synthetic aperture radar (SAR) has been an unparalleled tool in cloudy and rainy regions as it allows observations throughout the year because of its all-weather, all-day operation capability. In this paper, the influence of Wenchuan Earthquake on the Sichuan Giant Panda habitats was evaluated for the first time using SAR interferometry and combining data from C-band Envisat ASAR and L-band ALOS PALSAR data. Coherence analysis based on the zero-point shifting indicated that the deforestation process was significant, particularly in habitats along the Min River approaching the epicenter after the natural disaster, and as interpreted by the vegetation deterioration from landslides, avalanches and debris flows. Experiments demonstrated that C-band Envisat ASAR data were sensitive to vegetation, resulting in an underestimation of deforestation; in contrast, L-band PALSAR data were capable of evaluating the deforestation process owing to a better penetration and the significant coherence gain on damaged forest areas. The percentage of damaged forest estimated by PALSAR decreased from 20.66% to 17.34% during 2009-2010, implying an approximate 3% recovery rate of forests in the earthquake OPEN ACCESSRemote Sens. 2014, 6 6284 impacted areas. This study proves that long-wavelength SAR interferometry is promising for rapid assessment of disaster-induced deforestation, particularly in regions where the optical acquisition is constrained.

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Qualitative and quantitative analysis on landslide influential factors during Wenchuan earthquake: A case study in Wenchuan County

Cited by 51 publications

References 12 publications

Spatial features of debris flows and their rainfall thresholds in the Wenchuan earthquake-affected area

Spatial features of debris flows and their rainfall thresholds in the Wenchuan earthquake-affected area

Interaction among controlling factors for landslides triggered by the 2008 Wenchuan, China Mw 7.9 earthquake

Synthetic Aperture Radar (SAR) Interferometry for Assessing Wenchuan Earthquake (2008) Deforestation in the Sichuan Giant Panda Site

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