Emergency measures based on early warning classification of landslide

Abstract

The emergency disposal ability of landslide disaster is an important aspect of disaster reduction and prevention of geological disasters.At present, few systematic studies on the classification of emergency measures are based on landslide disaster prediction and early warning classification results, therefore, take the Baishuihe landslide as an example, time series additive model is decomposed into trend term displacement and periodic term displacement, and use of polynomial fitting and autoregressive (AR) model to forecast the two components, on the results by using clustering analysis method the landslide deformation is divided into uniform deformation and accelerating stage.The emergency measures of landslide warning classification are studied.The results show that the warning grades of Baishuihe landslide are mainly blue and yellow.For the landslide under different warning grades, rapid decision can be made according to the deformation characteristics of landslide, and the landslide emergency disposal can be guided more effectively based on the prediction of landslide disaster and the warning classification results.

Keywords

• landslide
• emergency measures
• displacement prediction
• monitoring and early warning
• time series