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

Zhi Gang Li; Shang De Xiao; Yi Heng Pan; Shi Wei Lu

doi:10.4028/www.scientific.net/AMM.405-408.2376

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 405-408The Hazard Assessment of Karst Surface Collapse...

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

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 405-408)

Pages:

2376-2379

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.405-408.2376

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Online since:

September 2013

Authors:

Zhi Gang Li, Shang De Xiao, Yi Heng Pan, Shi Wei Lu

Keywords:

BP Neural Network (BPNN), Karst Surface Collapse, Risk Zoning

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References

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