A Regional Landslide Sensitivity Analysis Method Based on Optimal Combination Strategy

A sensitivity analysis and optimal combination technology, applied in instruments, data processing applications, geographic information databases, etc., can solve problems such as lack of operation execution, and achieve the goal of improving quality, improving prediction ability, and reducing uncertainty and variability. Effect

Active Publication Date: 2022-06-07
SICHUAN UNIV
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AI Technical Summary

Problems solved by technology

The prediction results obtained by different models are often different. How to evaluate and combine these results to obtain the optimal prediction is a technical problem that is still unsolved. The existing technology is in determining the optimal strategy and Operational execution of best practices is still lacking

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  • A Regional Landslide Sensitivity Analysis Method Based on Optimal Combination Strategy
  • A Regional Landslide Sensitivity Analysis Method Based on Optimal Combination Strategy
  • A Regional Landslide Sensitivity Analysis Method Based on Optimal Combination Strategy

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Embodiment

[0047] A certain watershed is selected as an example. This area is located on the southeastern edge of the Qinghai-Tibet Plateau, sandwiched between the Lancang River and the Nujiang River, and is a typical alpine and canyon landform. The area is characterized by high mountains and steep slopes, deep valleys, wide distribution of landslide disasters, and high frequency of outbreaks, posing a serious threat to the lives and properties of local people, the development of hydropower resources and infrastructure construction. The mechanism of landslide disasters in this region is complex and the research foundation is very weak. The research on landslide sensitivity analysis has great practical guiding significance for the planning and utilization of land resources and landslide disaster risk assessment and management in this region.

[0048] The regional landslide sensitivity analysis method based on the optimal combination strategy described in this embodiment, the process is as...

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Abstract

The invention discloses a regional landslide sensitivity analysis method based on an optimal combination strategy. Firstly, traditional landslide sensitivity analysis models such as linear discriminant model (LDA), quadratic discriminant model (QDA) and logistic regression model (LR) are selected, Obtain the landslide susceptibility evaluation and grading results of the single model respectively; then evaluate the fitting degree, accuracy rate and uncertainty of the single model in the training stage and verification stage, and select the model with high fitting degree and accuracy rate and low uncertainty The model is used as a high-quality model; finally, the logistic regression method is used to combine the high-quality models and predict the landslide sensitivity, so as to reduce the randomness and uncertainty in the traditional evaluation model and improve the quality of landslide sensitivity evaluation.

Description

technical field [0001] The invention belongs to the field of landslide risk assessment, and particularly relates to a landslide sensitivity analysis method. Background technique [0002] In mountainous areas, due to complex topographic and geological background conditions, triggered by external factors such as rainfall, snowmelt, earthquakes and human engineering activities, landslides are prone to occur, resulting in loss of life and property and damage to the natural environment. In order to meet the needs of regional disaster prevention and mitigation, planning and utilization of land resources and infrastructure construction, it is necessary to conduct regional landslide sensitivity evaluation. Landslide susceptibility evaluation refers to obtaining the possibility of landslide occurrence in a certain area according to local regional conditions, that is, the possible influence degree of slope movement in a certain terrain unit. It is expressed in mathematical language as...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/26G06F16/2458G06F16/29
CPCG06Q10/0639G06Q50/26G06F16/2465G06F16/29
Inventor 魏进兵杨仲康陈俊衡杨浩然刘鹏雷昌鸿
Owner SICHUAN UNIV
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