A coseismic landslide road passability prediction method and its application

Abstract

The invention discloses a method for predicting whether a road is interrupted or not caused by homoseism landslide and application of the method. According to the prediction method, roads on a highwaynetwork are divided into road sections, then the relationship between the trafficability of each road section and the landslide slippery property of the corresponding road section is considered, andthe prediction method comprises the following specific prediction steps: A, generating vectorized spatial linear data of highway road sections in a research area; B, generating 180-meter vectorized spatial planar data on the two sides of the road section of the research area; C, generating grid space data of the 90-meter homoseism landslide slippery level in the research area; D, carrying out statistics of geoseismic landslide slippery grid data pixels within the range of 180 meters on the two sides of the road section; E, assigning a value to the slippery property of the homoseism landslide of the road section of the research area; and F, realizing road section trafficability classification prediction modeling. According to the method, the evaluation of the trafficability of the homoseismlandslide road is improved from the original risk level to the specific quantitative evaluation of whether interruption occurs or not, and the evaluation result is clearer, more practical and betterin use.

Description

technical field [0001] The invention belongs to the field of coseismic landslide hazards, and relates to a method for predicting the passability of earthquake landslide roads based on road sections, and the prediction and forecast of the passability of regional coseismic landslide roads by emergency command and decision-making after the earthquake and the pre-earthquake earthquake Landslide disaster risk assessment, specifically a method for predicting road interruption caused by coseismic landslides and its application. Background technique [0002] Long-term theoretical research and work practice have proved that effective disaster risk assessment before earthquakes and timely and effective emergency rescue after earthquakes are effective ways to reduce earthquake casualties and property losses. Regional road accessibility information has an important impact on emergency rescue decisions after earthquakes and risk mitigation before earthquakes to minimize earthquake disast...

AI Technical Summary

Problems solved by technology

The current evaluation method for the slipperiness of the same landslide can give the distribution of the slipperiness level of the same landslide on a 90-meter grid in the disaster area, but it is still difficult to make a high-precision judgment of whether a landslide has occurred, so it is impossible to combine the co-seismic Landslide distribution for accurate judgment of road traversability

It is also impossible to effectively predict the coseismic landslide road passability through the simple addition of the coseismic landslide slipperiness grade distribution and road distribution

Limited to the current technology, whether it is the risk prediction before the earthquake or the emergency rescue after the earthquake, the judgment of road traversability is still a rough qualitative estimate based on expert experience. Therefore, it cannot meet the current development of disaster prevention and relief. The Service Demand of Forecasting and Forecasting Information of Earthquake Landslide Road Trafficability

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