Landslide hazard multi-stage comprehensive monitoring and early warning method

A comprehensive monitoring, monitoring and early warning technology, applied in the direction of alarms, instruments, etc., can solve problems such as poor operability, no prediction system established, and difficulty in achieving multi-factor comprehensive early warning, so as to improve quality and effect, and improve reliability Effect

Inactive Publication Date: 2015-01-21
INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI
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Problems solved by technology

[0003] Judging from the existing research, the landslide early warning method is still not very operable, and the prediction sys

Method used

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  • Landslide hazard multi-stage comprehensive monitoring and early warning method
  • Landslide hazard multi-stage comprehensive monitoring and early warning method
  • Landslide hazard multi-stage comprehensive monitoring and early warning method

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Embodiment 1

[0057] Embodiment 1: (1) indoor (outdoor) model test: certain typical rainfall landslide model indoor model test is as figure 2 ;

[0058] (2) Monitoring data analysis

[0059] For comprehensive analysis of monitoring data and model test data, see image 3 .

[0060] The expression for establishing the critical value is:

[0061] R 1 =-0.153R t3 +45

[0062] Where: R 1 is the rainfall on the day (day) when the landslide occurs;

[0063] R T3 It is the accumulated rainfall in the 3 days before the day when the landslide occurred.

[0064] (3) Multi-level comprehensive early warning method

[0065] The multi-level comprehensive early warning method is shown in Table 4.

[0066] (4) Rainfall warning: if Figure 4 shown.

[0067]

[0068] For: R=R 1 +0.153R t3 -45; when R≥0, the landslide will likely occur; when R<0, the landslide will basically not occur.

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Abstract

The invention discloses a landslide hazard multi-stage comprehensive monitoring and early warning method, and relates to a landslide monitoring and early warning method. The method includes the steps of establishing a four-stage comprehensive early warning model based on three early warning indexes according to the topographic and geological conditions of typical landslide hazards, determining a model parameter type and an early warning critical value index through the indoor and outdoor typical rainfall landslide model experimenting method, carrying out statistic analysis of the correlation between typical landslide hazards and rainfall capacity, and establishing a mathematical calculation method suitable for typical landslide hazard early warning. Through the combination with specific monitoring data, monitoring information is fed back in time, multi-hydrologic-year detection and correction are conducted on a hazard early warning mathematical model, and then the landslide hazard multi-stage comprehensive monitoring and early warning method is obtained. A visual critical value domain discrimination graph, an analysis curve and an early warning standard introduction are given. By means of the method, the quality and effect of rainfall landslide monitoring and early warning are improved, and a scientific theory and a technological method are provided for improving the accuracy in geological hazard monitoring and early warning.

Description

technical field [0001] The invention relates to a landslide monitoring and early warning method, in particular to a landslide disaster multi-level comprehensive monitoring and early warning method. Background technique [0002] At present, the more effective early warning methods used at home and abroad include phenomenon monitoring and early warning, mathematical statistical early warning, nonlinear system theory early warning, and early warning of dynamic coupling between inside and outside the earth. Phenomenon monitoring and early warning: Formed in the initial stage of landslide theory research, the main representative is the differential equation model of accelerated creep proposed by Japanese scholar Ditaka Saito, and this model was used to predict the landslide warning of Mount Gaochang in Japan, which belongs to landslide experience prediction Law. Mathematical statistical early warning: In this stage, not only empirical and statistical methods have been further de...

Claims

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Application Information

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IPC IPC(8): G08B21/10
CPCG08B21/10
Inventor 黄栋田宏岭乔建平李倩倩
Owner INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI
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