Published March 18, 2014 | Version v1
Journal article

Debris-flows scale predictions based on basin spatial parameters calculated from Remote Sensing images in Wenchuan earthquake area

  • 1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, North No.20 Datun Road, Chaoyang District, Beijing 100101 (China)
  • 2. Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, No.9, Block4, Renminnanlu Road, Chengdu 610041 (China)

Description

Debris flow is a common hazard in the Wenchuan earthquake area. Collapse and Landslide Regions (CLR), caused by earthquakes, could be located from Remote Sensing images. CLR are the direct material source regions for debris flow. The Spatial Distribution of Collapse and Landslide Regions (SDCLR) strongly impact debris-flow formation. In order to depict SDCLR, we referred to Strahler's Hypsometric analysis method and developed 3 functional models to depict SDCLR quantitatively. These models mainly depict SDCLR relative to altitude, basin mouth and main gullies of debris flow. We used the integral of functions as the spatial parameters of SDCLR and these parameters were employed during the process of debris-flows scale predictions. Grouping-occurring debris-flows triggered by the rainstorm, which occurred on September 24th 2008 in Beichuan County, Sichuan province China, were selected to build the empirical equations for debris-flows scale predictions. Given the existing data, only debris-flows runout zone parameters (Max. runout distance L and Lateral width B) were estimated in this paper. The results indicate that the predicted results were more accurate when the spatial parameters were used. Accordingly, we suggest spatial parameters of SDCLR should be considered in the process of debris-flows scale prediction and proposed several strategies to prevent debris flow in the future

Availability note (English)

Available from http://dx.doi.org/10.1088/1755-1315/17/1/012091

Additional details

Publishing Information

Journal Title
IOP Conference Series: Earth and Environmental Science (EES)
Journal Volume
17
Journal Issue
1
Journal Page Range
[6 p.]
ISSN
1755-1315

Conference

Title
35. international symposium on remote sensing of environment
Acronym
ISRSE35
Dates
22-26 Apr 2013
Place
Beijing (China)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47054755
Subject category
S54: ENVIRONMENTAL SCIENCES;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ALTITUDE; CHINA; DISTANCE; EARTHQUAKES; FORECASTING; FUNCTIONAL MODELS; HAZARDS; IMAGES; LANDSLIDES; REMOTE SENSING; SPATIAL DISTRIBUTION; ZONES
Descriptors DEC
ASIA; DISTRIBUTION; SEISMIC EVENTS