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Regional landslide risk evaluation method based on slope units and machine learning

A technology of machine learning and evaluation methods, applied in neural learning methods, instruments, biological neural network models, etc., can solve the problem of high human factors in the weight determination process, and achieve the effect of saving time

Inactive Publication Date: 2017-12-12
SOUTHWEST PETROLEUM UNIV
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Problems solved by technology

[0004] The invention aims at the defect that the traditional grid evaluation unit cuts the relative integrity of the internal geological environment of the slope unit, and the human factors in the weight determination link of the traditional index scoring method are too high, and provides a digital elevation model based on the research area, data of landslide disasters that have occurred, and geological, A method for regional landslide risk assessment using meteorological and remote sensing image data, which can realize the calculation of the risk degree of each evaluation unit in the study area and the risk division

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  • Regional landslide risk evaluation method based on slope units and machine learning
  • Regional landslide risk evaluation method based on slope units and machine learning
  • Regional landslide risk evaluation method based on slope units and machine learning

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Embodiment Construction

[0041] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0042] Attached below Figures 1 to 4 , to further describe the preferred embodiments of the present invention.

[0043] Taking the range of the slope that may affect the K558-K642 mileage section (Guangyuan section) of the Lanchengyu refined oil pipeline as the research area, the method of the present invention is used to evaluate the risk of landslides in the research area.

[0044] The research area is located in Guangyuan City, Sichuan Province, with east longitude 105°15′-106°4′, north latitude 32°3′-32°45′, across Chaotian District, Lizhou District, Zhaohua District, Qingchuan County and Jiange from north to south The county has 19 townships in three districts and two counties. There are more than 100 landslide geological disasters in the study area, and some landslides are less than 100m away from the pipeline. These landslides pose a great thr...

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Abstract

The invention discloses a regional landslide risk evaluation method based on slope body units and machine learning. The method comprises the steps that first, to-be-evaluated slope units in a research region are divided according to a digital elevation model, and a landslide risk evaluation indicator system suitable for the research region is established; second, the distribution law of evaluation indicators in the slope units where a landslide happens is analyzed, and a landslide risk grading table of all the indicators is constructed based on the distribution law; and last, a landslide disaster risk evaluation model based on an LM-BP neural network is established, the degree of risk of each evaluation unit is calculated, and risk grading is performed. Through the method, calculation is precise, the principle is reliable, the operation process is easy and convenient to learn, and the method can meet the general requirement of regional landslide risk evaluation.

Description

technical field [0001] The invention relates to the technical field of landslide disaster risk assessment, in particular to a regional landslide risk assessment method based on slope body units and machine learning. Background technique [0002] Regional landslide risk assessment is aimed at the evaluation unit, based on the factors (evaluation indicators) that affect the development of landslides, establishes an evaluation model and conducts risk assessment. Landslide disasters in my country have the characteristics of great harm and wide distribution, seriously threatening people's lives and property safety, and restricting the economic development of landslide disaster-prone areas. Therefore, the risk assessment of regional landslides can effectively reduce the personal injury and property loss caused by geological disasters, and a reasonable evaluation unit is the basis of all this. The evaluation unit is the basic unit of regional landslide risk assessment and is also t...

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Application Information

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IPC IPC(8): G06N3/08G06Q10/06
CPCG06N3/084G06Q10/06393
Inventor 熊俊楠孙铭刘志奇彭超刘姗
Owner SOUTHWEST PETROLEUM UNIV
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