A method for determining the early warning threshold of shallow landslide disasters induced by heavy rain

A determination method and rainstorm technology, applied in forecasting, data processing applications, climate sustainability, etc., can solve problems such as affecting the accuracy of early warning results and not considering differences in rainstorms, achieving improved accuracy, improved spatial accuracy, and broad application prospects. Effect

Active Publication Date: 2022-07-12
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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  • A method for determining the early warning threshold of shallow landslide disasters induced by heavy rain
  • A method for determining the early warning threshold of shallow landslide disasters induced by heavy rain
  • A method for determining the early warning threshold of shallow landslide disasters induced by heavy rain

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Embodiment

[0142] (1) Construct the DEM of the target area according to the topographic map data

[0143] The data operation of the small watershed DEM is carried out on the ArcGIS platform. The main methods of DEM establishment: 1) Vectorize a 1:10,000 topographic map to establish a spatial topology relationship; 2) Use the Triangulation Irregular Network (TIN) method to convert the vector line drawing into a TIN data structure for spatial interpolation; 3) Convert the TIN data structure into a grid structure; 4) Resampling the grid data to form a grid DEM (GRID format) to generate a small watershed DEM; 5) Re-interpolate the DEM data to generate contour lines and contour lines The scanned images are color-separated and superimposed, and the generated DEM should be checked for gross errors to check for out-of-limit shifts. The DEM of the study area is attached figure 2 .

[0144] (2) Division of slope units

[0145] Using the DEM generated from the 1:10,000 topographic map as the b...

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Abstract

The invention discloses a method for determining an early warning threshold value of a shallow landslide disaster induced by heavy rain. First, a slope unit is divided based on a digital elevation model DEM; then a stability analysis early warning model based on the slope unit and a critical infiltration amount is established; five early warnings are set grade, according to F S The meaning of the index representation is to calculate the critical infiltration volume threshold for each of the five warning levels; finally, a slope unit-based landslide rainfall-infiltration model is established to calculate the relationship between the infiltration volume and rainfall of each slope unit under specific rainfall conditions term, the critical rainfall for each slope unit is reversed by the critical infiltration amount. The invention introduces the slope unit and the rainstorm influence coefficient into the measurement modeling of the shallow landslide body induced by the rainstorm, improves the working efficiency of landslide warning, improves the precision of the landslide warning space, and provides basic data for landslide prevention research; the method of the invention can be applied to In the early warning of landslide disasters in mountainous areas, it provides a scientific basis for disaster prevention and mitigation in mountainous areas.

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 early warning thresholds of shallow landslide disasters induced by heavy rain. Background technique [0002] Landslide warning is the main means and key link of 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 disaster is the key to landslide warning work. At present, the 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 we...

Claims

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Application Information

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Patent Type & Authority Patents(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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