The Hazard Assessment of Karst Surface Collapse Risk Zoning Based on BP Neural Network In Wuhan City

摘要

One of the main geological disasters in Wuhan City is karst surface collapse. Analytically the main elements affecting karst collapse contain Karst development, covering layer condition and hydrogeological condition. This paper aims to set up the risk zoning evaluation model about this disaster upon BP neural network theory. And then evaluate the risk zoning of karst collapse. The assessment result shows karst surface collapse of high risk in Wuhan City mainly distributes in Ruanjia Lane, Lujia Street, Justice School, Fenghuo Village，Zhongnan Steel Mill and Maotan Harbor.