Rainfall-triggered debris flows following the Wenchuan earthquake

Tang, Chuan; Zhu, Jing; Li, W. L.; Liang, Jingtao

doi:10.1007/s10064-009-0201-6

Cited by 294 publications

(142 citation statements)

References 10 publications

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“…After the 2008 earthquake, both the Baisha River and Longxi River suffered several debris flow events, especially from 13 to 14 August 2010, when one heavy rainstorm triggered one seriously catastrophic debris flow event in these river basins, and about 34 gully-type debris flows were triggered in the Longxi River [45]. In addition, existing studies indicate that the triggering rainfall threshold for debris flow significantly decreased after the earthquake, and the lowest rainfall intensity and rainfall amount for debris flow increased annually with the slope material stability enhancement and damaged vegetation recovery [42,[46][47][48].…”

Section: Sfci Changes In Study Areamentioning

confidence: 99%

“…Hence, large amounts of unconsolidated materials deposited on the steep slopes, which changed the hydrological processes (i.e., infiltration reduced, run-off increased and flow concentration expedited ) in the catchment [6]. Existing research indicates that the combination of steep slope, abundant fragmented materials, and high intensity rainfall naturally leads to the catastrophic debris flows in the earthquake-hit area [2,[42][43][44].…”

Section: Sediment and Flow Connectivity Index Scfimentioning

confidence: 99%

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Monitoring Earthquake-Damaged Vegetation after the 2008 Wenchuan Earthquake in the Mountainous River Basins, Dujiangyan County

et al. 2015

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Abstract:The 2008 Wenchuan earthquake destroyed large areas of vegetation in the Baisha River and Longxi River basins, in Dujiangyan County, China. There were several debris flow events in these mountainous river basins after 2008. Currently, these damaged vegetation areas are in various stages of recovery. This recovery vegetation improves the resistance of slopes to both surficial erosion and mass wasting. We introduce a probabilistic approach to determining the relationships between damaged vegetation and slope materials' stability, and model the sediment and flow (hydrological) connectivity index to detect the hydrological changes in a given river basin, using the multi-temporal remote-sensing images to monitor the vegetation recovery processes. Our results demonstrated that the earthquake-damaged vegetation areas have coupling relationships with topographic environment and slope material properties, and can be used to assess the slope material stability. Further, our analysis results showed that the areas with horizontal distance to river OPEN ACCESSRemote Sens. 2015, 7 6809 streams <500 m are areas that actively contribute sediment to the stream channel network, and are main material sources for debris flow processes in one given mountainous basin.

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Section: Sfci Changes In Study Areamentioning

confidence: 99%

Section: Sediment and Flow Connectivity Index Scfimentioning

confidence: 99%

Monitoring Earthquake-Damaged Vegetation after the 2008 Wenchuan Earthquake in the Mountainous River Basins, Dujiangyan County

et al. 2015

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“…The '5.12' Wenchuan earthquake, Sichuan province, triggered lots of landslides and debris flows from rainfall inducing (Yin et al, 2009). In addition, numerous extension cracks were induced on hill regions near the earthquake and caused landslide activities during the heavy rains (Tang et al, 2009). Rainfall can degrade the stability of soil-rock mass and change the soil pore pressure to activate the slope failure (Kirschbaum et al, 2012).…”

Section: Figure 2 Landslide Susceptibility In China and In Guizhou Pmentioning

confidence: 99%

The Framework on Multi-Scale Landslide Hazard Evaluation in China

Li¹,

Liu²,

Gao³

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Nowadays, Landslide has been one of the most frequent and seriously widespread natural hazards all over the world. How landslides can be monitored and predicted is an urgent research topic of the international landslide research community. Particularly, there is a lack of high quality and updated landslide risk maps and guidelines that can be employed to better mitigate and prevent landslide disasters in many emerging regions, including China. This paper considers national and regional scale, and introduces the framework on combining the empirical and physical models for landslide evaluation. Firstly, landslide susceptibility in national scale is mapped based on empirical model, and indicates the hot-spot areas. Secondly, the physically based model can indicate the process of slope instability in the hot-spot areas. The result proves that the framework is a systematic method on landslide hazard monitoring and early warning. Li (1983-), male, doctor of engineering, main research interests-remote sensing data processing and disaster evaluation

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“…Strong earthquakes not only trigger co-seismic landslides but also they affect subsequent rainfall-induced debris flows over a long term because these co-seismic landslides greatly increased the amount of sediment material for potential debris flows (Lin et al,2006;Tang et al,2009;Khattak et al,2010). After the 2008 Wenchuan Earthquake, the earthquake affected areas experienced two rainy seasons till 2010, and a large number of debris flows occurred, which claimed as many as 450 fatalities.…”

Section: Debris Flow Arising From the Earthquakementioning

confidence: 99%

“…The volume of the debris reached 144.20 million m 3 . The debris flow carried many huge stones and destroyed houses and bridges (Tang et al, 2009). Many preventive structures designed based on the standard of conventional debris flow were also destroyed by the large scale debris flows after the earthquakes.…”

Section: Large Surge Peak Discharge and Huge Volumementioning

confidence: 99%