The rock bursL, coal and gas bursts and mine quakes,and so on,aretotally referred as the mlne dynamic phenomena,which Is one kind of the mostserious mine disasters.Because of the complexity of mine dynamic phenomenaand the variety of geological condition,the prevention and prediction of themine dynamic phenomena are extremely diffcult.Identifying of active faultshas important theory significance and applied value on the precondition ofreglonal predication.The identifying-method is determined in this thesis.The basis of identifying active faults is the tendency plane analysis.Avenue and Visual C++ mlxed programming is applied to finish the supportsystem of identlfying of active fault on the GIS platform(GIS ArcView 3.0a).The identification support system in this thesis is applied in the PingdingshanCoal Mine,and a IV-Z fault is found.It is determined that the fault is thedynamic source of dynamic phenomena in the mine No.8 and No.10.... |