Gully debris flow monitoring and warning method and device

Abstract

The invention relates to a gully debris flow monitoring and warning method and device; the method comprises: determining main control factors of forming gully debris flow according to principal component analysis; analyzing interactional relation of the main control factors according to an interactional relation matrix; constructing a judging module for the start of gully debris flow at an upstream section according to the interactional relation of the main control factors; based on such in connection with real-time monitoring data, judging whether debris flow occurs or not, if yes, by further acquiring midstream segment level monitoring data for the debris flow, dynamically calculating scales of the debris flow such as flow speed and quantity so as to provide full-flow-area full-process monitoring and warning for the debris flow. The judging model for the start of debris flow is constructed according to the interactional relation of the main control factors, mobile parameters of the debris flow are dynamically acquired, and the method may provide improved debris flow warning accuracy when compared to the single-threshold warning method of the prior art.

Description

technical field [0001] The invention relates to the technical field of disaster early warning, in particular to a monitoring and early warning method and device for valley-type debris flow. Background technique [0002] Valley-type debris flow refers to solid and liquid particle fluids that develop in valleys and contain a large amount of mud, sand, and stones. , is one of the common types of debris flow disasters in mountainous environments. Because this type of debris flow can carry a large number of rocks, and has the characteristics of fast movement speed and sudden outbreak, it has extremely strong impact and destructive force, often causing huge casualties and property losses. On July 11, 2013, a large-scale mudslide disaster broke out in Qipangou, Wenchuan County. It lasted for nearly 1.5 hours, killing 8 people and missing 6 people. The direct economic loss amounted to 415 million yuan. Therefore, it is necessary to carry out monitoring and early warning of debris...

AI Technical Summary

Problems solved by technology

[0003] At present, the most common method of debris flow monitoring and early warning is to judge by a certain rainfall threshold, but in fact the formation and development of debris flow is a constantly changing process. As well as the characteristic information of each stage of accumulation and silt burial, it is difficult to realize the monitoring and early warning of the whole process of debris flow

In addition, this early warning method is a fixed, quasi-static preliminary prediction, and the monitoring data such as the dynamic characteristics and fluid characteristics of debris flow have not been fully utilized, and the debris flow velocity, flow rate and impact force and other dynamic parameters, not to mention the risk differences caused by debris flows of different scales

Therefore, the accuracy of the early warning method is low

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