Application of Automatic Rainfall Station Data in Geological Disaster Monitoring
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Abstract:
By analyzing the geological conditions, exterior factors, and antecedent precipitation over the areas where landslides and debris flows happen more frequently, the discrimination standards of geological disaster grades and the prediction method are devised. By means of ArcGIS Engine and MICAPS, a prediction system of landslides and debris flows for Diqing is developed. The hourly and daily automatic weather station (AWS) precipitation data from the antecedent precipitation database are used to forecast the disasters, which provides useful guidance for the prevention of geological disasters.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.