| As global temperatures increase,extreme climate risks increase,posing greater challenges to the urban ecological environment.Under the dual influence of urbanization and climate change,the degree of ecological risk is becoming more and more obvious.As the most important core of the city,the urban central area has a high development intensity and a high concentration of population,which makes the thermal environment of the central area worse and affects the living environment of the city.How to improve the urban thermal environment and achieve the environmental quality improvement of the neighborhood has become a common concern.Due to the lack of spatial shape optimization research that comprehensively considers the urban thermal environment,the research results are not closely integrated with urban planning management,and are regional and temporal.Based on this,this paper takes the central area of Quanzhou as an example to analyze the spatial characteristics of the thermal environment in the central area,and comprehensively consider the comprehensive evaluation of the thermal environment for many years,and find the correlation between urban spatial shape and thermal environment.Finally,the optimization and regulation strategies of urban spatial patterns to improve the thermal environment are proposed.This paper is mainly carried out from four parts.The first part is to summarize the domestic and international research on thermal environment theory,sum up the influence of spatial form on thermal environment and urban spatial shape optimization strategy.The second part uses remote sensing(RS)and geographic information system(GIS)technology to first quantitatively invert the surface temperature at the central urban scale,and analyzes its temporal and spatial evolution and its spatial distribution characteristics,and then discovers the existence of urban thermal environment.The problem.The third part is to analyze the impact mechanism of urban spatial form indicators on the thermal environment.Firstly,using Arc GIS to quantify the urban spatial form indicators of the study area,analyze the spatial distribution of various spatial form indicators.In the next step,through the correlation analysis between the urban spatial form indicators and the thermal environment,the core spatial form indicators with significant correlation with the thermal environment are found.Regression analysis was performed using the selected core spatial morphological indicators using least squares linear regression(OLS)and geographic weighted regression(GWR)models,and the two models were evaluated.Finally,the GWR model with good fitting effect was used to measure the building density.Regression analysis with the average height of the building provides basic support for the next step of optimizing urban spatial form and thermal environment.The fourth part is based on the analysis of the impact of the spatial pattern of the central area of Quanzhou on the thermal environment,and proposes the optimization objectives of urban spatial form,and summarizes the urban spatial shape optimization strategy of the central area.Mainly from the central area of the city,each grid unit is used as a warning for spatial shape indicators and different regional differentiation guidance strategies.Finally,the typical case block is selected.Based on the proposed optimization strategy,the case space shape is optimized,and the thermal environment before and after the case modification is simulated by CFD technology.This paper considers the urban thermal environment and uses this as a perspective to propose an optimization strategy for the spatial shape of the urban central area to create a comfortable thermal environment for the city.This study will help improve the overall living environment in the urban center and contribute to the subsequent improvement of Quanzhou’s thermal environment and sustainable urban development. |
