Landslide susceptibility evaluation method based on GBDT-LR and information amount model

An evaluation method and LR model technology, applied in character and pattern recognition, probabilistic CAD, random CAD, etc., can solve the problems that the research model is only suitable for the current area and the model generalization ability is poor

Pending Publication Date: 2022-06-07
HEFEI UNIV OF TECH
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Problems solved by technology

However, there are the following problems: In the actual process of landslide development, affected by various geological factors and complex logical relationships among factors, it is difficult to reveal the internal relationship only by traditional information and logistic regression models, and the generalization of the model Capabilities are poor, research models are only appropriate for the current area

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  • Landslide susceptibility evaluation method based on GBDT-LR and information amount model
  • Landslide susceptibility evaluation method based on GBDT-LR and information amount model
  • Landslide susceptibility evaluation method based on GBDT-LR and information amount model

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Embodiment Construction

[0056] A landslide susceptibility evaluation method based on GBDT-LR and information model, which specifically includes the following steps:

[0057] (1) Select the research area;

[0058] (2) Selection of evaluation units and evaluation factors;

[0059] (3) Select non-landslide samples, use the Borderline-Smote algorithm for data sampling, and generate the same number of landslide samples as non-landslide samples;

[0060] (4) The landslide susceptibility model is constructed by coupling the information model and the GBDT-LR algorithm;

[0061] (5) The constructed landslide susceptibility model was evaluated from three aspects: frequency ratio, ten-fold line cross-validation and ROC curve.

[0062] details as follows:

[0063] 1. Overview of the study area and data sources

[0064] 1.1 Overview of the study area

[0065] The present invention selects Guichi District, Anhui Province as the research area, which is located in the southern part of Anhui Province, between 11...

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Abstract

The invention discloses a landslide susceptibility evaluation method based on GBDT-LR and an information amount model, which combines characteristics of landslide development of a research area, comprehensively considers research results of previous people based on GIS, Python and other software, and finally determines 13 evaluation factors. A landslide susceptibility evaluation model is constructed based on an information amount model (I) and a gradient boosting decision tree-logistic regression (GBDT-LR) algorithm, the problem of asymmetry of landslide samples is solved by adopting a Borderline-Smote algorithm, the evaluation model is evaluated through a frequency ratio, a ten-fold line cross validation and an ROC curve, and finally, a Guiding pool susceptibility zoning map is made. The rationality of the prepared landslide susceptibility zoning map is analyzed in combination with actual conditions; a reference is provided for the possibility of landslide occurrence, and a scientific reference basis is provided for the government to treat landslide disasters.

Description

technical field [0001] The invention relates to the technical field of natural disaster treatment, in particular to a landslide susceptibility evaluation method based on GBDT-LR and an information quantity model. Background technique [0002] Landslides, collapses and debris flows are three typical geological disasters in my country, among which landslides are the most common geological disasters, which are characterized by wide distribution, high frequency of occurrence, fast movement and great destructiveness. China is one of the countries most affected by landslides in the world. Landslide susceptibility evaluation is the focus of landslide prediction research. Through remote sensing data in the study area, the influencing factors of various aspects of landslides (topography, lithology, hydrology, etc.) are extracted, and the weights of the influencing factors are quantitatively analyzed. The spatial distribution and occurrence probability of the region can provide certa...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/62G06F111/08
CPCG06F30/27G06F2111/08G06F18/24323G06F18/214Y02A90/10
Inventor 董张玉张晋安森许道礼于金秋李金徽
Owner HEFEI UNIV OF TECH
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