Local-scale landslide susceptibility prediction method based on hierarchical Bayesian method

A prediction method and susceptibility technology, which are applied in image data processing, complex mathematical operations, 3D modeling, etc., to achieve the effect of high susceptibility evaluation

Inactive Publication Date: 2020-04-21
成都垣景科技有限公司
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Problems solved by technology

[0004] The present invention proposes a local-scale landslide susceptibility prediction method based on a hierarchical Bayesian method to solve the problem in the prior art that the stability of the overall trend of the evaluation factor and the heterogeneity of the local scale cannot be considered at the local scale

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  • Local-scale landslide susceptibility prediction method based on hierarchical Bayesian method
  • Local-scale landslide susceptibility prediction method based on hierarchical Bayesian method
  • Local-scale landslide susceptibility prediction method based on hierarchical Bayesian method

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[0031] according to figure 1 , figure 2 The flow process of the present invention, an invention implementation instance of the present invention is as follows:

[0032] (1) Step 1: Perform surface hydrological analysis based on the digital elevation model on the slope of the area to be evaluated with known landslide times to obtain the slope unit, which is used as the basic evaluation unit for landslide susceptibility evaluation.

[0033] In this example, the area along the Duwen Highway is selected as the area to be evaluated. Since the earthquake with a magnitude of 8.0 on the Richter scale occurred in 2008, secondary geological disasters such as landslides and collapses have entered an active period. The terrain in the area to be evaluated is strongly cut, relatively The height difference ranges from 300-2500m, which provides a favorable breeding environment for natural disasters such as landslides and debris flows. The test area is about 935km 2 , the climatic conditio...

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Abstract

The invention relates to a local scale landslide susceptibility prediction method based on hierarchical Bayesian. The method mainly comprises four steps of extracting a basic evaluation unit; calculating the regional scale weight of the evaluation factor; establishing a spatial local logistic regression model, fitting spatial heterogeneity of the evaluation factor in a local scale, realizing information fusion of two scales under a hierarchical Bayesian framework, and verifying the model; and carrying out local-scale landslide susceptibility evaluation by utilizing the spatial local logistic regression model. According to the invention, the geographical detector is used to calculate the overall trend of each evaluation factor in the regional scale; fitting spatial heterogeneity of the evaluation factor contribution rate in a local scale by applying a spatial local regression model; and based on a hierarchical Bayesian framework, information fusion is carried out on the overall trend and spatial heterogeneity of the evaluation factor, so that the problem that the stability of the overall trend and heterogeneity of the local scale of the evaluation factor cannot be considered at thelocal scale is solved, and regional local scale landslide susceptibility evaluation is realized.

Description

technical field [0001] The invention relates to the monitoring field of natural disasters, in particular to a local-scale landslide susceptibility prediction method based on a hierarchical Bayesian method. Background technique [0002] The evaluation of landslide susceptibility at local scale can provide more detailed reference materials for engineering construction. Previous landslide susceptibility assessments at local scales are less reliable due to the small sample size at local scales. In order to improve the reliability of the local-scale landslide susceptibility map, it is necessary to fuse the overall trend of the evaluation factors at the regional scale and the spatial heterogeneity of the local scale. The need for emergent evaluation modeling. [0003] In order to realize landslide susceptibility evaluation on a local scale in a large-scale study, the existing technology regards the coefficient of the evaluation factor as a variable related to geographical locati...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F17/18G06T17/05
CPCG06F17/18G06T17/05
Inventor 杨锦涛靳旭吕波袁野
Owner 成都垣景科技有限公司
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