Rainfall erosion of mountain environment and people flow planning of Leshan giant Buddha site based on big data GIS

Based on the big data GIS system, this paper first analyzes the methods and research results of the visualization of soil and water conservation level data at home and abroad. And for the proposed visual protection plan for land and water resources, a relatively excellent data architecture and the latest persistence plan have been designed. Based on this point, this paper investigates the cause of rainfall erosion and fluctuation in the mountain environment of S city and studies and determines the important technical points of water and soil conservation data images. Based on the results of this kind of research, the article further analyzes the temporal and spatial characteristics of the data and, based on the RUSLE model, conducts a directional consideration of the distribution characteristics of environmental rainfall erosion in mountainous environments: that is, comprehensively examines the impact of rainfall erosion in mountainous environments from both natural and social factors. The main factor of the pattern. Using multi-linear regression equations, combined with environmental variables and bioclimatic variables, the spatial distribution of land in Q mountainous areas is predicted under the background of global change. Finally, the article conducted an in-depth study on the people flow planning of the Leshan Giant Buddha Scenic Spot, introduced the construction of the Leshan Giant Buddha Scenic Spot Project Network, and adopted comprehensive technical solutions such as "portrait photography reconnaissance surveillance camera + online photography AI portrait recognition technology" to build the number of passengers identify and plan the design of the system and elaborate on the system's functions, such as visitor statistics, hotspot analysis, travel route analysis, video tracking, and data display. The article applies the research results of rainfall erosion in mountain environment based on big data GIS to the research on the people flow planning of Leshan Giant Buddha, which promotes the rapid development of scenic spots.

---

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).