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Empirical prediction for travel distance of channelized rock avalanches in the Wenchuan earthquake area
Empirical prediction for travel distance of channelized rock avalanches in the Wenchuan earthquake area
- Source :
- Natural Hazards and Earth System Sciences, Vol 17, Pp 833-844 (2017)
- Publication Year :
- 2017
- Publisher :
- Copernicus Publications, 2017.
-
Abstract
- Rock avalanches are extremely rapid, massive flow-like movements of fragmented rock. The travel path of the rock avalanches may be confined by channels in some cases, which are referred to as channelized rock avalanches. Channelized rock avalanches are potentially dangerous due to their difficult-to-predict travel distance. In this study, we constructed a dataset with detailed characteristic parameters of 38 channelized rock avalanches triggered by the 2008 Wenchuan earthquake using the visual interpretation of remote sensing imagery, field investigation and literature review. Based on this dataset, we assessed the influence of different factors on the runout distance and developed prediction models of the channelized rock avalanches using the multivariate regression method. The results suggested that the movement of channelized rock avalanche was dominated by the landslide volume, total relief and channel gradient. The performance of both models was then tested with an independent validation dataset of eight rock avalanches that were induced by the 2008 Wenchuan earthquake, the Ms 7.0 Lushan earthquake and heavy rainfall in 2013, showing acceptable good prediction results. Therefore, the travel-distance prediction models for channelized rock avalanches constructed in this study are applicable and reliable for predicting the runout of similar rock avalanches in other regions.
Details
- Language :
- English
- ISSN :
- 15618633 and 16849981
- Volume :
- 17
- Database :
- Directory of Open Access Journals
- Journal :
- Natural Hazards and Earth System Sciences
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.6f677769056b45d0ae43c01fcc7fa2cb
- Document Type :
- article
- Full Text :
- https://doi.org/10.5194/nhess-17-833-2017