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Geological disaster space prediction method and system based on similarity measurement, and storage medium

A technology of similarity measurement and geological disasters, applied in the field of geological disaster prediction, can solve the problems of less application of geographical similarity theory and single research method of geological disaster prediction model

Pending Publication Date: 2021-05-18
武汉中地云申科技有限公司
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  • Abstract
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Problems solved by technology

[0005] Through the above analysis, the existing problems and defects of the existing technology are: the research method of the geological disaster prediction model is relatively single, and the method based on the machine learning supervision model is gradually encountering bottlenecks, but the geographical similarity based on the third law of geography Sex theory is rarely used in this field
[0006] The difficulty of solving the above problems and defects is: considering the diversity of geographical environment factors, the existing similarity measurement method is not enough to solve the similarity measurement problem of multi-type factors, so the similarity measurement method needs to be further improved

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  • Geological disaster space prediction method and system based on similarity measurement, and storage medium
  • Geological disaster space prediction method and system based on similarity measurement, and storage medium

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Embodiment 1

[0110] Aiming at the above defects or vacancies in the prior art, the present invention proposes a spatial prediction method of geological disasters based on similarity measurement based on the geographical similarity theory of the third law of geography. Based on the third law of geography, this method can propose a new idea of ​​spatial prediction, which can focus on the similarity of location and geographical configuration for spatial prediction of geological disasters, thereby filling the gap in the application of this theory in the existing technology.

[0111] In order to achieve the above object, the present invention provides a method for spatial prediction of geological disasters based on similarity measurement, which includes the following steps in turn:

[0112] (1) Extraction of influencing factors of geological hazards: Obtain alternative influencing factors of geological hazards from DEM data, remote sensing images, geological maps and other data, and standardize ...

Embodiment 2

[0123] In order to make the object, technical scheme and advantages of the present invention clearer, the following combination figure 2 The specific embodiment of the present invention will be described in detail.

[0124] like figure 2 As shown, the specific implementation method of the spatial similarity geological hazard prediction based on the coupling model is as follows:

[0125] (1) Extraction of alternative disaster factors: Based on the ArcGIS platform, the preliminary selected impact factors are extracted from the basic data such as DEM data and remote sensing images of the research area. Since the dimensions of each factor are different, regularization is adopted for the continuous factors after the factors are extracted. Processing, that is, calculating its p-norm for each sample, and then dividing each element in the sample by the norm, the result of this processing is to make the p-norm (l1-norm,l2 -norm) is equal to 1, the calculation formula of p-norm is a...

Embodiment

[0166] The research area is Qichun County, Hubei Province. Using 116 landslide data and non-landslide sample data in the research area, 14 environmental factor data were selected: elevation, slope aspect, slope, topography, NDVI, curvature, topographic moisture index, soil type , the distance from the river, the distance from the road, the distance from the railway, the distance from the fault, the average annual rainfall, and lithology.

[0167] Carry out PCC factor correlation analysis and random forest factor importance analysis: such as Figure 4 The factor correlation analysis shows. Figure 5 The factor importance analysis shows.

[0168] Combined with the results of importance analysis and correlation analysis, the topographic humidity index factor was eliminated, and 13 factors were finally selected;

[0169] Regularization and principal component analysis were performed on landslide samples and non-landslide environmental samples, and similarity clustering was perfo...

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Abstract

The invention belongs to the technical field of geological disaster forecasting, and discloses a geological disaster space prediction method and system based on similarity measurement and a storage medium. The method comprises the following steps: extracting geological disaster influence factors; selecting equivalent non-geological disaster samples; selecting factors; calculating the weight of each factor; performing similarity clustering on the geological disaster points to obtain typical geological disaster types; calculating the similarity to determine the disaster to be ground disaster or non-ground disaster; calculating index verification prediction precision, and performing precision evaluation; and carrying out susceptible area grade division and geological disaster risk prediction. Weight calculation is carried out based on the BPNN, the improved K-means clustering algorithm is adopted to measure the geographical environment similarity of the research area, geological disaster space prediction is carried out according to the similarity calculation result, excessive influence of subjective factors is avoided, the method is more complete and comprehensive, and the application vacancy of the prior art in the field of geological disaster prediction is filled.

Description

technical field [0001] The invention belongs to the technical field of geological disaster prediction, and in particular relates to a method, system and storage medium for spatial prediction of geological disasters based on similarity measurement. Background technique [0002] At present, as one of the countries most seriously threatened by geological disasters in the world, the geological disasters that occur in my country every year cause incalculable losses to the safety of people's lives and property. Geological disasters are destructive, sudden and difficult to prevent. Therefore, it is urgent to predict and forecast geological disasters. [0003] In recent years, geological disaster prediction methods and technologies have emerged in an endless stream. Starting from the initial qualitative model, the disadvantage of this method is that it relies too much on the expertise of experts, the subjective factors are too strong, and the results are not necessarily accurate. L...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06K9/62G06Q50/26
CPCG06Q10/04G06Q50/26G06F18/22G06F18/23213G06F18/2135
Inventor 罗显刚孔若楠朱双徐战亚谢玉明操丽田壮赵前军
Owner 武汉中地云申科技有限公司