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Rainfall-type landslide risk three-dimensional multipoint and multi-indicator warning method

A dangerous and multi-indicator technology, applied in the direction of alarms, instruments, etc., can solve the problem of low precision of landslide warning, achieve the effect of improving the precision of warning, accurate data and simple acquisition method

Inactive Publication Date: 2017-12-22
INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a three-dimensional, multi-point, and multi-index early warning method for the risk of rainfall-type landslides, so as to solve the problem of low precision of existing landslide early warnings

Method used

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Embodiment Construction

[0025] The present invention will be further described below in conjunction with the examples, and the mode of the present invention includes but not limited to the following examples.

[0026] The invention provides a multi-point and multi-indicator evaluation scheme for the risk of rainfall-type landslides, so as to realize the division of the risk levels and carry out corresponding early warning. Introduce the operation flow of the present invention at this point below.

[0027] The invention monitors by selecting three relatively low-cost monitoring indicators of rainfall intensity, cumulative rainfall and rainfall mode, and serves as the main indicator of rainfall-type landslide early warning. First, establish a three-dimensional numerical model of the landslide slope (FLAC3D software can be used for modeling), and then use the finite difference method to conduct a single-index hazard analysis of the four indicators of rainfall intensity, rainfall pattern, cumulative rain...

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Abstract

The invention discloses a rainfall-type landslide risk three-dimensional multipoint and multi-indicator warning method. The method comprises the steps that (1) risk level dividing is carried out on each indicator; (2) the numerical values of the indicators of the rainfall intensity, the rainfall pattern, the cumulative rainfall and the slope soil-rock body saturability of a certain landslide in a certain period of time are acquired; (3) according to the value of each indicator, an evaluation matrix is acquired; (4) according to the evaluation matrix, an entropy weight method is combined to determine the weight of the indicators of the rainfall intensity, the rainfall pattern, the cumulative rainfall and the slope soil-rock body saturability; (5) the multi-indicator comprehensive measure {A, B, C, D} of the landslide is calculated; (6) the confidence lambda 0.5 is introduced, and comparing is carried out to determine the risk level of the rainfall-type landslide; and (7) corresponding landslide warning is carried out according to the risk level of the rainfall-type landslide. According to the invention, the warning accuracy of the o rainfall-type landslide is greatly improved; the problems of the prior art are solved; warning standards are unified; and the warning method is suitable for popularization and application.

Description

technical field [0001] The invention relates to a three-dimensional, multi-point and multi-indicator early warning method for the risk of rainfall-type landslides. Background technique [0002] At present, the key to the early warning technology of rainfall-induced landslides is to establish the relationship between the occurrence of landslides and the critical value of rainfall. Scholars from various countries have used many methods to determine the critical value of rainfall-induced landslides. There are three main types: (1) The critical value of rainfall intensity ; (2) The critical value of rainfall in the rainfall process; (3) The critical value of soil water content. [0003] Among the above three methods, the advantage of the first method is that it is simple, but it ignores the previous situation and the water content of the soil, and cannot characterize the local geological conditions. The cause analysis is not rigorous, and it cannot form a scientific forecast of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08B21/10
CPCG08B21/10
Inventor 姜元俊肖思友宋跃姜震王萌
Owner INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI
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