Sudden loess landslide early warning method and application thereof

A sudden, loess technology, applied in the field of sudden loess landslide early warning, can solve the problems of poor applicability of disaster prevention, complicated early warning work, and many landslide factors, so as to improve the accuracy of early warning, improve the efficiency of early warning, and apply disaster prevention good sex effect

Inactive Publication Date: 2018-05-08
CHENGDU UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0007] The multi-level comprehensive monitoring and early warning method for landslide disasters disclosed in this patent document requires a large amount of historical record monitoring data of landslides, and then calculates the critical threshold of landslide monitoring and early warning through landslide deformation and failure model tests; and then determines whether the study area has For the possibility of landslides, there are many landslide factors that need to be analyzed, the whole early warning work is complicated, the response is lagging, the early warning efficiency is low, and the applicability of disaster prevention is poor

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  • Sudden loess landslide early warning method and application thereof
  • Sudden loess landslide early warning method and application thereof
  • Sudden loess landslide early warning method and application thereof

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Embodiment Construction

[0043] A method for early warning of sudden loess landslides, comprising the following steps:

[0044] a. Preprocessing of deformation monitoring data

[0045] The monitoring data is preprocessed by the moving average method. The moving average method is based on the time series moving one by one, and sequentially calculates the sequential average number containing a certain number of items. By continuously calculating the average value of the latest multiple sets of accumulated displacement data, the latest The average value of accumulated displacement data is calculated by formula 1;

[0046] S=(S t +S t-1 +...+S t-N ) / (N+1) Formula 1

[0047] Among them, S is the cumulative displacement value after smoothing by the moving average method, and S t is the cumulative displacement monitoring data at the latest moment, S t-1 is the previous cumulative displacement from the latest monitoring data, S t-N is the Nth accumulated displacement from the latest monitoring data, an...

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Abstract

The present invention discloses a sudden loess landslide early warning method and an application thereof, belonging to the technical field of landslide prevention and control engineering. The method comprises the following steps of: a, preprocessing of deformation monitoring data; b, determination of a multi-stage deformation rate threshold Vt; c, determination of a deformation rate increment [Delta]V; d, division of different landslide deformation rate curve features; and e, integration early warning through combination of the multi-stage deformation rate threshold Vt and the deformation rateincrement [Delta]V. The multi-stage deformation rate threshold is arranged to determine whether the landslide generate a large deformation or not in advance and track a deformation development trendin real time based on the deformation rate increment, and therefore, the combination thereof achieves total-process early warning of the sudden loess landslide, the early warning accuracy and the early warning efficiency are greatly improved, and the disaster prevention applicability is good.

Description

technical field [0001] The invention relates to the technical field of landslide prevention and control engineering, in particular to an early warning method for sudden loess landslides and its application. Background technique [0002] my country's loess covers an area of ​​440,000 km 2 , mainly distributed in the northwest of China, accounting for about 10% of my country's land area. Since the loess region in Northwest my country is an arid and semi-arid region with little rainfall, local agricultural irrigation mostly relies on pumping river or groundwater for flood irrigation. Flood irrigation caused a large amount of surface water to enter the interior of the loess. The loess has unique water physical characteristics, and its structure, collapsibility, and water sensitivity determine that water is an important factor inducing loess damage. [0003] At present, landslide early warning and forecasting is to use mathematical models to fit and extrapolate the monitoring ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08B21/10
CPCG08B21/10
Inventor 许强亓星朱星彭大雷
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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