The development of rural tourism in the greater Xi’an area is in full swing, which is an important indicator for the implementation of rural revitalization. However, there are certain realistic challenges such as the lack of rural culture, the destruction of cultural context, and the loss of “rurality” of tourist areas. It is of vital significance to explore, integrate and revive the rural culture by advancing the rural cultural landscape based on the concept of cultural landscape in human geography. The specific categories of the rural cultural landscape were divided into three perspectives of agricultural production, famers’ lifestyle, and countryside ecology. Spatial reflections of various rural cultural landscapes were carried out based on pluralistic new data. The spatial characteristics of cultural landscapes were studied by using kernel density analysis and creating Thiessen polygons analysis and interpolation in ArcGIS spatial analysis, in order to show the spatial patterns of the special rural cultural areas and the cultural landscapes in greater Xi’an. Above all, our study inventoried and mapped the rural cultural landscapes in the context of rural tourism, identified spatial features of rural cultural landscape and rural tourism, and we proposed solutions that promote the cultural quality of rural tourism which are of vital significance in reviving rural culture.

This study aims to investigate the perturbation mechanisms of street tree morphological characteristics on the near-surface carbon monoxide (CO) concentration distribution at the micro-scale. Based on the L16(45) orthogonal experimental design and numerical simulations, the impacts of four morphological parameters—tree height, branching height, crown spread, and canopy edge distance—on CO concentration were systematically quantified. Range and variance contribution analysis indicate that branching height is the absolute dominant factor governing CO dispersion with a contribution rate of 49.97%, which significantly promotes the dissipation of bottom-level pollutants by expanding the under-canopy clearance. Crown spread, with a contribution rate of 25.58%, exhibits a marginally significant positive correlation with CO concentration due to enhanced aerodynamic resistance, whereas the effect of tree height does not reach statistical significance. Furthermore, by eliminating redundant variables through stepwise regression analysis, a multivariate empirical prediction model for CO concentration (R2 = 0.77) was established, incorporating branching height, crown spread, and canopy edge distance as independent variables. This study reveals the decisive role of under-canopy spatial permeability in regulating the microclimate environment, and provides a solid quantitative basis for the topological optimization of urban green spaces targeting low pollutant retention and the precise selection of street trees.