Landslide Hazard Zoning for Highway in China Base on Remote Sensing and GIS

Abstract:

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Eight factors such as slope, incision density, incision depth, average annual rainfall, average annual >50mm rainfall days, soil types, river density, and vegetation cover ratio were used to quantify the Landslide Predict Index for highway in China. Using digital elevation data, rainfall data, thematic map of soil and river, remote sensing data of Spot/vegetation NVDI, these factors were calculated base on spatial analysis, hydrologic analysis, geostatistical analysis supported by ArcInfo9 software. The factors weights were confirmed by applying of expert estimation. The calculation results indicate that a highly spatial heterogeneity exists in the landslide Predict index for highway in China. Considering the maximum and minimum value of the index, the Landslide Predict Index for highway is divided into five levels. The landslide hazard zoning for highway is carried out base on the Landslide Predict Index mainly, then the landslide hazard zoning map for highway in China is formed.

Info:

Periodical:

Advanced Materials Research (Volumes 368-373)

Edited by:

Qing Yang, Li Hua Zhu, Jing Jing He, Zeng Feng Yan and Rui Ren

Pages:

1051-1057

DOI:

10.4028/www.scientific.net/AMR.368-373.1051

Citation:

F. C. Wang et al., "Landslide Hazard Zoning for Highway in China Base on Remote Sensing and GIS", Advanced Materials Research, Vols. 368-373, pp. 1051-1057, 2012

Online since:

October 2011

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Price:

$35.00

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