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Determination method for rainstorm-induced shallow landslide disaster warning threshold value

A method for determining rainstorms, applied in forecasting, data processing applications, climate sustainability, etc., can solve problems that affect the accuracy of early warning results and do not consider rainstorm differences

Active Publication Date: 2018-11-09
GUANGZHOU INST OF GEOGRAPHY GUANGDONG ACAD OF SCI
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Problems solved by technology

Therefore, the current critical rainfall determination method based on the physical mechanism model does not consider the difference between heavy rainfall and general precipitation in the hydrological process of landslides, which seriously affects the accuracy of early warning results.

Method used

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  • Determination method for rainstorm-induced shallow landslide disaster warning threshold value
  • Determination method for rainstorm-induced shallow landslide disaster warning threshold value
  • Determination method for rainstorm-induced shallow landslide disaster warning threshold value

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Experimental program
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Embodiment

[0130] (1) Construct the DEM of the target area according to the topographic map data

[0131] The data calculation of the small watershed DEM is carried out on the ARCGIS platform. The main methods of DEM establishment: 1) vectorize 1:10,000 topographic map to establish spatial topological relationship; 2) use triangulated irregular network (TIN) method to convert vector line drawing into TIN data structure for spatial interpolation; 3) Convert the TIN data structure into a grid structure; 4) Resample the grid data to form a grid DEM (GRID format), and generate a small watershed DEM; 5) Interpolate the DEM data to generate contour lines and contour lines The scanned image is color-separated and superimposed, and the generated DEM is checked for gross errors to check whether there is an over-limit offset. The DEM of the study area is attached figure 2 .

[0132] (2) Division of slope units

[0133] Using the DEM generated by the 1:10,000 topographic map as the basis for t...

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Abstract

The invention discloses a determination method for a rainstorm-induced shallow landslide disaster warning threshold value. The method comprises the steps of first, performing slope unit division basedon a DEM (Digital Elevation Model); then, establishing a stability analysis warning model based on the slope units and a critical infiltration capacity; setting five warning grades, and calculating acritical infiltration capacity threshold value of each of the five warning grades according to a meaning represented by an FS (Factor of Safety) index; and finally, establishing a landslide rainfall-infiltration model based on the slope units, calculating a relation between the infiltration capacity and a rainfall capacity of each slope unit under a specific raining condition, and reversely deducing a critical rainfall capacity of each slope unit through the critical infiltration capacity. According to the determination method for the rainstorm-induced shallow landslide disaster warning threshold value, the slope units and rainstorm influence coefficients are imported into rainstorm-induced shallow landslide mass measurement modeling, thereby improving the work efficiency of landslide warning, improving the spatial precision of landslide warning and providing basic data for researches of landslide control. The method can be applied to landslide disaster warning work in a mountainousarea and provide scientific basis for disaster prevention and reduction of the mountainous area.

Description

technical field [0001] The invention belongs to the field of early warning of landslide disasters, and in particular relates to a method for determining the early warning threshold of shallow landslide disasters induced by heavy rain. Background technique [0002] Landslide early warning is the main method and key link in disaster prevention and mitigation. Scholars at home and abroad have done a lot of research on the relationship between rainfall-induced landslides. The critical rainfall value of landslide hazard is the key to landslide early warning. Currently commonly used landslide disaster models can be divided into statistical models and physical mechanism models. The premise of using statistical models for early warning is to have long-term and relatively complete rainfall data, a rainfall remote monitoring network with a reasonable layout density and an advanced data transmission system. However, in the mountainous areas of South China, the research foundation is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26
CPCG06Q10/04G06Q50/265Y02A50/00
Inventor 宫清华黄光庆王钧袁少雄陈军
Owner GUANGZHOU INST OF GEOGRAPHY GUANGDONG ACAD OF SCI
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