Monitoring method of mountain torrent and debris flow disaster in debris flow channel

Abstract

The invention discloses a method for monitoring mountain torrent and mud-rock flow disasters in mud-rock flow channels. This method takes advantage of the specific uniqueness of the environmental noise data waveform in terms of noise value and attenuation characteristics of the environmental noise data waveform formed when the torrent debris flow travels in the debris flow channel, which can distinguish itself from other environmental noises. Filter analysis is used to effectively extract The noise value and time feature information in the signal, after interpreting the multiple attenuation, oscillation, and excitation characteristics of the environmental noise signal sample L along the time axis, identify the main movement characteristics of the torrent and debris flow and the time when it reaches the monitoring section. By adding monitoring sections, the present invention can further monitor the position and flow velocity of the torrent debris flow between the monitoring sections. The method of the invention is not affected by environmental light conditions, visibility and other factors, and can well solve the problem of monitoring sudden disasters at night. Moreover, the cost of the monitoring device is low, and it is convenient to improve the monitoring intensity, and provide more disaster movement element data for field research.

Description

technical field [0001] The invention relates to a monitoring method, in particular to a method for monitoring the movement of mountain torrent and mud-rock flow disasters by using environmental noise signals in mud-rock flow channels. The invention belongs to the technical field of signaling devices and the field of environmental disaster prevention and control in mountainous areas. Background technique [0002] The formation of mountain torrents and debris flow disasters is mainly caused by the change of environmental conditions. The three most important environmental conditions are specific topographical conditions, rich sources of loose soil and rock debris, and heavy rainfall. These three are also the main criteria for judging the occurrence of mountain torrents and debris flows in the study of disaster forecasting in mountainous areas. From the perspective of environmental noise research, external natural activities (such as precipitation, strong wind, earth-rock move...

AI Technical Summary

Problems solved by technology

However, a large number of torrents and debris flows occur at night, and natural factors such as light, heavy rainfall, and fog will seriously affect the imaging quality of image monitoring and preparation, reducing the effectiveness of post-analysis

Moreover, this type of monitoring system is often expensive, and it is not convenient for large-scale construction in mountainous areas.

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