DocumentCode :
2712307
Title :
Method for the early warning of shallow landslides in Sichuan province, China
Author :
Li, Xiaoxuan ; Hu, Deyong ; Liao, Ting ; Chen, Yangsiqi
Author_Institution :
Coll. of Resource Environ. & Tourism, Capital Normal Univ., Beijing, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
1
Lastpage :
4
Abstract :
Regional precipitation-induced landslide is one of the major geologic hazards in our country, which features large areas of damage, simultaneity, sudden breakout and serious consequences. Especially in Sichuan province where has happened earthquake, tectonic changed, secondary disasters happened very frequently. It is essential to carry out the research into the forecast and early warning of precipitation-induced landslide at the beginning of the national campaign launched for the geologic hazard weather forecast and early warning. Sichuan province was chose as study area, remote sensing image and actual statistics was basic material, combined the rainfall data, analysis the relationship of spatial and temporal distribution of landslide and rainfall comprehensively, the sensitivity of shallow landslide in Sichuan and the critical value of rainfall that induced landslides was determined. And simulate prediction was made, the time was July 17, 2009. The whole method was practical and feasible, scientific basis could be provided for prevention and mitigation.
Keywords :
disasters; earthquakes; geomorphology; geophysical image processing; geophysical techniques; rain; remote sensing; tectonics; China; Sichuan province; earthquake; geologic hazard weather forecast; geologic hazards; rainfall data; regional precipitation-induced landslide; remote sensing image; secondary disasters; shallow landslide; spatial distribution; tectonic changes; temporal distribution; Earthquakes; Geographic Information Systems; Geology; Hazards; Meteorology; Sensitivity; Terrain factors; I-D; TRMM; landslide; rainfall; space alert;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
ISSN :
2161-024X
Print_ISBN :
978-1-61284-849-5
Type :
conf
DOI :
10.1109/GeoInformatics.2011.5981059
Filename :
5981059
Link To Document :
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