Title :
Volumetric Algorithm of Short Sliding Distance Landslide
Author :
Song, Li ; Yu-lun, An ; Gao Si ; Ying, Wang
Author_Institution :
Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
Abstract :
This paper classifies landslides into two types of the long sliding distance and short sliding distance landslide. The long sliding distance landslide is that the landslide mass slides away from its original location completely, and the short sliding distance landslide is that the landslide mass slides away from its original location partly. According to principles of geosciences, this paper studies the fitness of the sliding surface and ground surface of landslide mass based on binary polynomial. According to the integral method, this paper chooses the right variable to fit the landslide boundary using the least square method. Then we build a double integral model using the sliding surface and ground surface of landslide mass as the integrand, the landslide boundary as integration domain. After building the model, this paper takes a landslide at Linshuang Road of Gulin Sichuan province as a study case to implement the double integral algorithm. The result shows the double integral algorithm can bring more precise volume information for prevention and emergency relief of landslide disasters.
Keywords :
disasters; geomorphology; integral equations; integration; least squares approximations; polynomials; Gulin Sichuan; Linshuang Road; binary polynomial; double integral model; emergency relief; geoscience; ground surface; integral method; integration; landslide boundary; landslide classification; landslide disaster; landslide mass; least square method; short sliding distance landslide; sliding surface; volumetric algorithm; Application software; Computer science; Information technology; Integral equations; Least squares approximation; Remote sensing; Space technology; Surface fitting; Surface topography; Terrain factors; double integral; fit; ground surface of landslide mass; landslide volume; sliding surface;
Conference_Titel :
Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
Conference_Location :
Kiev
Print_ISBN :
978-0-7695-3688-0
DOI :
10.1109/ITCS.2009.205