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Heuristic and statistical models are both important models of landslide susceptibility mapping. Experts' Scoring Model (ESM) and Generalized Linear Model (GLM), typical heuristic and statistical models respectively, are adopted to carry out a case study of Shenzhen where landslides are increasingly serious. The outputs of the two models obviously differ in terms of receiver operating characteristic...
Human activities which are represented by human impact index in landslide susceptibility mapping have great impact on the landslide occurrences in urban areas, especially in those fast developing areas. It is important to study how to determine a reasonable human impact index based on available factors, such as buildings, roads, and land prices, to ensure that landslide susceptibility is accurately...
Precipitation is an important meteorological element widely used in rainfall-induced landslide forecasting. Most existing studies on rainfall-induced landslide forecasting focus on the determination of forecasting models and parameters. Five transformation methods of precipitation are evaluated in this paper to improve the forecasting models through a case study of Shenzhen, based on rain gauge observation...
Landslide susceptibility zonation is essential for disaster management and control in mountainous regions. Most landslide susceptibility zonations up to now are pixel-based and somehow are impracticable in landslide hazard management. In this paper, we propose a procedure for slope unit-based landslide susceptibility zonation with a case study of Shenzhen, China. First, the flat terrain is removed...
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