Research On Safety Risk Management Of Mountaineering Outdoor Sports In Ningxia

In recent years,outdoor sports have been rampant in the country,but the risk issues that follow have also increased.Among them,the top priority is the security risk issue.The safety risk management of mountaineering outdoor sports is closely related to the development and development of mountaineering outdoor sports.The strength and comprehensiveness of risk management of outdoor sports by relevant foreign departments is larger than that of China.Although outdoor sports safety risk management has certain research in China,the research is usually a universal risk factor,and the regional specificity is not strong.The mountainous environment in Ningxia is rich,but the outdoor sports of mountaineering development is relatively late.In recent years,the development speed is relatively fast,and a series of problems have followed.Therefore,this paper takes Ningxia as an example to carry out risk management research on mountaineering outdoor sports.This paper identifies the risks through literature analysis,case analysis,expert interviews,etc.,builds an indicator system,and identifies 32 risk indicators.Then,the weight of the risk indicator is determined by the analytic hierarchy process to determine the score of the sample,and the criteria for dividing the risk level are obtained.Then,the BP neural network model is constructed and trained by the sample data to obtain the early warning model of mountain outdoor sports risk in Ningxia.Afterwards,using the model for empirical analysis,the feasibility and effectiveness of the model are proved.Finally,for the management of high-risk factors,some methods and methods for dealing with risks are proposed.This paper aims to provide reference and suggestions for the direction and method of risk management of mountaineering outdoor sports in the fast-growing Ningxia region.It helps local enthusiasts,organizers and participants of outdoor sports to experience happiness during the event.At the same time,it is of practical significance to be able to reduce risks more scientifically and effectively.