标题：Research on the Correlation between the Elements of Visual Landscape and the Micro-thermal Environment in Universities and Its Optimal Design—A Case Study of Sichuan Agricultural University
期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：310
期号：2
页码：1-9
DOI：10.1088/1755-1315/310/2/022075
出版社：IOP Publishing
摘要：The research on the micro-thermal environment of universities is conducive to improving the environmental quality of the campuses, however, there are few related Microscopic empirical research. The research goal of this paper is to take the Dujiangyan Campus of Sichuan Agricultural University as an example to explore the correlation between campus visual landscape elements and micro-thermal environment, and then propose a landscape optimization approach to improve the thermal environment. By way of a panoramic camera, a temperature measuring instrument, and a thermal imager, the panoramic view, air temperature and the surface temperature of the main landscape of 120 sites on the campus were collected through the system sampling method, elements of visual landscape and their spatial distribution were graded and quantified using artificial intelligence image recognition method and ArcGIS. The air temperature was taken as the dependent variable, and the elements of visual landscape and their surface temperature were taken as the independent variables during the experiment to analyze the coupling relationship between the campus micro-thermal environment and the landscape elements by way of the geo-detector. The results show that the campus landscape consists of five major elements: roads, buildings and structures, vegetation, people and vehicles. The distribution regarding the proportion of the field of view has significant spatial differentiation. Among the five visual landscape components, the artificial environment, such as roads, buildings and structures, has a relatively larger impact on the spatial differentiation of the campus thermal environment compared with other factors; The temperature of people, proportion of vehicles and vegetation surface temperature have less explanatory power for spatial differentiation of campus thermal environment; The proportion of the five types of elements and their surface temperature have no significant correlation with the campus thermal environment.
