Mudslide early warning method based on rainfall monitoring

A rainfall monitoring and debris flow technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of uncertainty, inaccuracy of debris flow early warning, lack of fixed time nodes, etc., to achieve the effect of improving accuracy

Active Publication Date: 2015-01-28
航天科工惯性技术有限公司
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AI Technical Summary

Problems solved by technology

[0002] Rainfall is the main inducing factor of debris flow, and it is also an important calculation parameter in the debris flow early warning model. However, in the prior art, the debris flow early warning models for rainfall monitoring mostly use specific time nodes as critical ...

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  • Mudslide early warning method based on rainfall monitoring
  • Mudslide early warning method based on rainfall monitoring
  • Mudslide early warning method based on rainfall monitoring

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Embodiment Construction

[0023] Embodiments of the present invention will be described below with reference to the drawings. Elements and features described in one drawing or one embodiment of the present invention may be combined with elements and features shown in one or more other drawings or embodiments. It should be noted that representation and description of components and processes that are not relevant to the present invention and known to those of ordinary skill in the art are omitted from the drawings and descriptions for the purpose of clarity.

[0024] refer to figure 1 , this embodiment provides a method for early warning of debris flow based on rainfall monitoring, including:

[0025] Step S101, establishing a characteristic rainfall model for debris flow events, a characteristic rainfall model for surface runoff events, and a characteristic rainfall model for normal rainfall events based on historical rainfall data, and determining a discrimination function;

[0026] Step S102, deter...

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Abstract

The invention provides a mudslide early warning method based on rainfall monitoring. The mudslide early warning method comprises the following steps of according to historical rainfall data, establishing a mudslide event feature rainfall model, a surface runoff event feature rainfall model and a normal rainfall event feature rainfall model, and determining a discrimination function; according to the discrimination function, determining an attenuation coefficient, a weight coefficient and a critical threshold value; collecting rainfall data of previous n days, and using the attenuation coefficient to calculate the effective rainfall of previous n days; using the weight coefficient and the rainfall data of current day, and calculating the feature rainfall according to the weight coefficient, the rainfall data of current day and the effective rainfall of previous n days; comparing the feature rainfall with the critical threshold value, and determining whether the rainfall of current day is enough to cause a mudslide event or not according to the comparison result. The method has the advantage that the accuracy of early warning of the mudslide can be effectively improved.

Description

technical field [0001] The invention relates to the technical field of mud-rock flow early warning, in particular to a mud-rock flow early warning method based on rainfall monitoring. Background technique [0002] Rainfall is the main inducing factor of debris flow, and it is also an important calculation parameter in the debris flow early warning model. However, in the prior art, the debris flow early warning models for rainfall monitoring mostly use specific time nodes as critical criteria, such as 10 minutes, 1 hour, 1 day and 20th, etc., the selection of fixed time nodes lacks strict theoretical derivation, and the rainfall time range that affects the occurrence of debris flows is also uncertain, which makes the accuracy of debris flow early warning not high. Contents of the invention [0003] A brief overview of the invention is given below in order to provide a basic understanding of some aspects of the invention. It should be understood that this summary is not an ...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 张宁刘天霸黄鑫孙全华杨卓孙芳
Owner 航天科工惯性技术有限公司
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