Regional landslide sensitivity analysis method based on optimal combination strategy
A technology of sensitivity analysis and optimal combination, applied in the direction of structured data retrieval, resources, instruments, etc., can solve problems such as lack of operation execution
Active Publication Date: 2021-07-30
SICHUAN UNIV
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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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Embodiment
[0047] A 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 Nu River, and is a typical alpine and canyon landform. The area has high mountains and steep slopes, deep valleys, wide distribution of landslide disasters, and high frequency of outbreaks, posing a serious threat to local people's lives and property, hydropower resource development, and infrastructure construction. The mechanism of landslide disasters in this area is complex, and the research foundation is very weak. Carrying out research on landslide sensitivity analysis has great practical guiding significance for the planning and utilization of land resources in this area and the risk assessment and management of landslide disasters.
[0048] The regional landslide sensitivity analysis method based on the optimal combination strategy described in this embodiment, the process is as follows figure 1 shown, inc...
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The invention discloses a regional landslide sensitivity analysis method based on an optimal combination strategy, and the method comprises the steps: firstly, selecting a linear discrimination model (LDA), a secondary discrimination model (QDA), a logic regression model (LR) and other traditional landslide sensitivity analysis models, and obtaining the landslide sensitivity evaluation and classification results of a single model; evaluating the fitting degree, the accuracy rate and the uncertainty of the single model in a training stage and a verification stage, and selecting a model with high fitting degree and accuracy rate and low uncertainty as a high-quality model; and finally, performing combination and landslide sensitivity prediction on the high-quality models by adopting a logistic regression method so as to reduce the randomness and uncertainty in a traditional evaluation model and improve the landslide sensitivity evaluation quality.
Description
technical field [0001] The invention belongs to the field of landslide risk assessment, and in particular relates to a landslide sensitivity analysis method. Background technique [0002] In mountainous areas, due to the complex terrain and geological background conditions, landslides are prone to occur under the trigger of external factors such as rainfall, snowmelt, earthquakes and human engineering activities, resulting in the loss of life and property and the destruction of the natural environment. In order to meet the needs of regional disaster prevention and mitigation, planning and utilization of land resources, and infrastructure construction, regional landslide susceptibility assessment is required. Landslide susceptibility evaluation refers to the possibility of landslides occurring in a certain area according to local geographical conditions, that is, the possible influence degree of slope movement in a certain terrain unit, which is expressed in mathematical lang...
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Login to View More 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