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Landslide warning and forecasting is essential to landslide risk management. This paper establishes a GIS-based landslide warning and forecasting model of Shenzhen where rainfall-trigged landslides have caused great property and life loss. Based on the high-resolution observation data of rainfall and landslide occurrences in Shenzhen, Kriging interpolation model is applied to derive the regional rainfall...
This paper focuses on slope unit derivation from DEM by object-based image analysis. A landform classification system consisting of ridge, valley, slope unit, and flat terrain classes is firstly constructed considering the detailed characteristics of slope unit. Based on the classification system, a procedure for slope unit derivation from DEM, which takes into consideration the topographic factors...
Global solar radiation is essential to the earth and human beings. Because of the scarcity of solar radiation observation stations, climatologic calculation methods and interpolation techniques are commonly adopted to derive the monthly global solar radiation and generate the regional distribution map. In this paper, the Angstrom-Prescott linear regression formula is applied to calculate monthly average...
Landslide vulnerability assessment is fundamental to landslide risk management tasks. Most existing methodologies of landslide vulnerability assessment are raster-based and do not consider the exact landslide positions and possible impact areas, which inevitably makes the assessment result impracticable to a certain extent. In this paper, a slope location-based landslide vulnerability assessment model...
Distributed metadata management is an efficient way to address the huge data of mineral information resources, which are usually distributed stored. In this paper, existing related metadata standards of mineral resource are firstly explored, based on which three typical kinds of metadata management mode, centralized metadata management mode, distributed metadata management mode and shared metadata...
Three-dimension geological simulation engine is the key to geological environment simulation which can visually support geological resource exploration and analysis. Design of a three-dimension geological simulation engine is presented in this paper firstly. The engine is then fully implemented and applied in a case study in the southern margin of Yili basin to verify its feasibility. In the case...
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 mapping is a typical two-class classification problem where generating pseudo absence (non-slide) data plays an important role. In this paper, a new method, target space exteriorization sampling method (TSES), is presented to generate pseudo absence data based on presence data directly in feature space. TSES exteriorizes a presence sample to become a pseudo absence one by...
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