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Research of Landslide Susceptibility after the Lushan Earthquake Based on Logistic Regression Model
详细信息   
摘要
On April 20,2013,Ms 7.0 earthquake occurred in Lushan County,Sichuan,China.The quake center was located in Longmen Country(30.3°N,102.95°E) and the earthquake source at a depth of 13 km.A large amount of material(landslide debris) produced by the shock of the earthquake were moved by the heavy rainfall.Based on the remote sensing(RS) and geographic information system(GIS),this paper uses Logistic regression to make a landslide susceptibility map of the Lushan area in reference to slope,relief amplitude,land cover,distance to fault,and peak ground acceleration.The data are obtained from various sources.A landslide inventory of 421 landslides is constructed to produce the dependent variable,taking a value of 0 as the absence and 1 as the presence of slope failures.At last,the relationship between the presence or absence of landslides and a set of independent variables are showed using the coefficients.The coefficients imply that the distance to fault and relief amplitude play an important role in the occurrence of landslides.Using Jenks Natural Breaks,the landslide susceptibility index falls into four categories: low,medium,high and very high.The high and very high susceptibility covers an area of 31.23% and 15.40%,respectively.The performance of the logistic regression model is validated by the receiver operating characteristics(ROC).The area under the ROC curve(AUC) is 0.772,showing that the logistic regression method deployed in the assessment of the landslide susceptibility is reliable and can be used in the reconstruction process.

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