Model Design of Eco-carrying Capacity of Sports Tourist Attractions Based on Big Data Analysis

Abstract

The traditional entropy weight TOPSIS-based eco-environmental carrying capacity model of sports tourist attractions uses grey correlation coefficient to select and identify the carrying capacity of calculation. Its large data analysis ability is poor, and the effect of analysis on the overall carrying capacity of sports tourist attractions is poor. For this reason, a model of carrying capacity of eco-environment of Sports Tourist Attractions Based on large data analysis is designed, and the overall framework of carrying capacity model of sports tourist attractions is designed. The database of model data stores all relevant information in the same nodes, so as to facilitate the analysis and management of large data. The ecological footprint method is used to calculate the carrying capacity of the eco-environment of sports tourist attractions. The ecological pollution of tourist attractions can be controlled within the scope of automatic recovery of the environment. The ecological footprint of soil environment, water resources environment, biological environment and pollutants is calculated to obtain the carrying capacity of the eco-environment of tourist attractions. Based on the ecological early warning module of the design model of carrying capacity of sports tourist attractions, the different carrying status of scenic spots is displayed by different colors to realize the early warning of carrying capacity of scenic spots. The experimental results show that the designed model is effective in carrying capacity analysis of scenic spots, and has a good application effect in large data environment.