Integration of the Statistical Index Method and the Analytic Hierarchy Process technique for the assessment of landslide susceptibility in Huizhou, China

摘要: Abstract A landslide susceptibility assessment was accomplished in Huizhou, Guangdong province, by adopting the Statistical Index Method and Analytic Hierarchy Process. Eight causing factors were considered including elevation, slope, aspect, lithology, land cover, distance to a fault, road, river precipitation. The used determine weighted value (Si) for classes of every factor, Process utilized (Wi) summation product Si Wi represent Landslide Susceptibility (LSI) pixels. Based on derived LSI, study area grouped into five area. densities from very high low show linear increasing trend implying there is satisfactory agreement between map actual data. ROC curves training prediction datasets suggest that model could have reasonably good predictive capability. this shows settlement sparse forest with lithology unit II (red layered moderate soft mixture clastic rocks), III (layered hard rocks) V (massive mixture) at elevation 0–200 m are most susceptible slope failure. result be useful identification problematic areas, which critical investigating hazard risk management community & regional planning.