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Applying probability distribution density function to predict the surface subsidence caused by subcritical extraction
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2004
Year
GeophysicsHydrogeologyEngineeringSubsidence MonitoringSubcritical ExtractionCivil EngineeringMechanical EngineeringSuper-subcritical ExtractionInverse ProblemsProbability Integration MethodComputational GeophysicsSuper-subcritical Extraction ApproachSurface SubsidenceEarth ScienceSubsurface System
It was found that the moving probability of the shiver in the discrete medium caused by super-subcritical extraction approach to probability density function of normal distribution through theory analysis and computer simulation.The probability distribution density function method was presented to predict the surface movement and deformation caused by super-subcritical extraction.The prediction data were compared with the actual observation data,it was concluded that the prediction relative error is less than 10%, if the prediction parameters were exactly selected.It was resolved that the problem using probability integration method to predict the surface subsidence caused by super-subcritical extraction is greater than the actual surface subsidence.