Study On The Risk Assessment Of Geological Hazards In The Northern Piedmont Of The Qinling Mountain From Zhouzhi To Lantian

The geological disasters grow seriously in the north front foot of Qinling Mountainaffected by fault activity. Also, human being has frequently activities in the front of themountain, so it is of great importance to research the geological disasters in this area toprotect the people’s life and belongings safety. This paper focus on the fault zone inthe northern foot of Qinling (Daiyu, Lantian to Zhuyu,Zhouzhi), firstly, it introduces thegeographic conditions of the researched area, deeply analyses the fault zone in this area, thenanalyses the spread status and formative factor in the area according to geological disastersresearch and the-spot inspection, also analyses its spread feature both that in time and space.Secondly, it builds up a geological disaster evaluation model by fuzzy comprehensiveevaluation which on the basic of step analysis and Artificial Neural Network which is on thebasic of MATLAB, it also has an the evaluation for the danger of geological disasters in thisarea.This paper mainly introduces the evaluation for the danger of geological disasters in thefault zone. the north front foot of Qinling Mountain by fuzzy comprehensive evaluationmethod, which on the basic of step analysis and Artificial Neural Network method, which ison the basic of MATLAB. Firstly, it divides the researched area in to301unit in the size of2km×2km. For the fuzzy comprehensive evaluation method, it chooses9factors as evaluationindex which are structure of rock mass, fault scatter density, earthquake intensity, surfaceslope, terrain relative difference, gully growth status., average rainfall in many years,groundwater characteristics, human activities, and decides its grade attachment by half atrapezoid subordinate function, determines the factor weight by FAHP, then estimate for eachunit with FAHP. At the same time, for the Artificial Neural Network method, which is on thebasic of MATLAB, the main point is building up reliable evaluation model. The paper alsochooses9factors as evaluation index which are structure of rock mass, fault scatter density,surface slope, terrain relative difference, gully growth status., average rainfall in many years,vegetation coverage, human activities, groundwater characteristics, after many inspectioncomparison, it chooses9—15—4BP network model as evaluation model, and also has ancomprehensive evaluation division by this model. Lastly, it come to an prevention measures for the geological disasters...