Analysis And Prevention Of Debris Flow Disaster Along The 110kV Power Line From Bomi To Zhamu

To get the status and danger of the debris flow along Depending on the 110 k V power line from Bomi to Zhamu,on-site survey of the debris flow along the line has been carried out,the distribution and characteristics of the debris flow gully are studied,and the characteristics of the debris flow are analyzed comprehensively with the data of the local topography,geological structure and rainfall.The disaster process and mechanism of debris flow in this area are analyzed,and the risk of the debris flow is judged in the standard table method.The determined result is used to train the B-P neural network model.The simulation result is close to the real result.And a debris flow prevention plan is designed.Disaster prevention and mitigation of regional debris flow is of great significance.The following work is done.First of all,the data of the topography,geological structure,meteorology and hydrology of Bomi County is collected.It shows that the terrain of the high mountains and valleys in this area is widely distributed,and the rainfall is the common in summer,most of which are heavy rains.Then,through on-site surveys,the data of the drainage area,length,longitudinal slope drop are gained,and the loose material reserves along the ditch of the debris flow ditch are calculated.Combined with previous studies on the formation mechanism of debris flow,the disaster process and mechanism of debris flow in this area are discussed,and it is found that these debris flows in the formation area mainly rely on slope erosion and scouring to form sparse debris flow,which will scour the gully when moving in the channel.The bottom and the ditch bank are encrusted with more sand and rocks,making the debris flow more energy,and the harm is getting more serious.Afterwards,the standard table method is used to evaluate the susceptibility of debris flow and the current risk.The results showed that 6 debris flows are highly dangerous,and the rest are moderately dangerous.Then based on the judgment results,the BP neural network model is evaluated.After training,an optimized model with more accurate discrimination is obtained.The simulation results under multiple conditions show that the transfer function used by the hidden layer should be Tan-sigmoid function,and the transfer function used by the output layer should be Purelin function,which has the fastest convergence speed and the smallest average error.Finally,according to the degree of danger of the debris flow,the N17 debris flow is selected as the prevention and control target,and blocking dams and drainage channels are adopted to control the upstream flow and downstream flow directions respectively.The calculation results show that the designed buildings can achieve the prevention.The article provides data support for the disaster-causing capacity and disaster prevention control of debris flow in this area.In the process,the B-P neural network model is trained and good simulation results are obtained,which can provide new methods and means for the prediction of debris flow disasters in the area in the future.