• 地理空间分析综合应用 •

### 基于局地气候分区的济南市热环境空间分异及其 影响因素

1. 山东建筑大学测绘地理信息学院,济南 250101
• 收稿日期:2021-07-30 修回日期:2021-08-26 出版日期:2022-04-25 发布日期:2022-06-25
• 作者简介:单宝艳（1970— ）,男,山东青岛人,教授,主要从事GIS空间分析与区域规划等研究。E-mail: shan7066@163.com
• 基金资助:
国家自然科学基金项目(51608309)

### Spatial Differentiation of Urban thermal Environment and its Influencing Factors based on Local Climate Zones in Jinan

SHAN Baoyan*(), ZHANG Qiao, REN Qixin, FAN Wenping, Lü Yongqiang

1. School of Surveying and Geo-informatics, Shandong Jianzhu University, Ji'nan 250101, China
• Received:2021-07-30 Revised:2021-08-26 Online:2022-04-25 Published:2022-06-25
• Contact: *SHAN Baoyan, E-mail: shan7066@163.com
• Supported by:
National Natural Science Foundation of China(51608309)

Abstract:

Different urban land surface covers and spatial structures lead to different heat island effects and different urban spatial thermal environment. Local Climate Zones (LCZ) have been widely applied in the study of urban heat island. Reasonable division of LCZ and scientific formulation of LCZ classification standards are the key technical problems in the study of urban heat island based on LCZ. In this study, the LCZ of Jinan city was divided by the urban road network, Digital Elevation Model (DEM), and big data of buildings, and the quantitative classification standard of LCZ was determined by the building height and the building density. The land surface temperature was retrieved by Landsat 8 remote sensing image, and the Kriging method was used for air temperature spatial interpolation. The urban thermal environment was expressed by land surface temperature and air temperature. Based on this, the spatial differentiation characteristics of urban thermal environment and the differences of thermal environment in the same type of LCZ were studied by the method of variance analysis, and the factors of urban thermal environment were studied by the method of correlation analysis. The results show that: (1) There were obvious differences in the spatial distribution pattern of land surface temperature and air temperature at 4:00 a.m., 8:00 a.m., and 14:00 p.m. in Jinan city. Among the four types of temperature, the number of LCZ with high temperature outliers respectively accounted for 0.25%, 1.60%, 4.05%, and 3.96% of the total LCZ in the city. The area with higher land surface temperature was located in the area with dense buildings, which includes scattered areas with higher air temperature, showing heat island effect; (2) There were obvious differences in land surface temperature and air temperature at different times of a day in different types of LCZ. The number of high air temperature outliers in the LCZ of high height and low density, the LCZ of high height and medium density, and the LCZ of medium height and low density respectively accounted for 47.37%, 33.33%, and 9.65% of the total high temperature outliers, the intraclass heat island effect of these LCZ was obvious; (3) Different types of LCZ had different intraclass heat island effects. LCZ types such as low height and low density, medium height and low density, high height and low density, and high height and medium density had significant differences in heat island effect, the p values of their variance analysis were less than 0.05; (4) The impact of building spatial distribution index on urban thermal environment was different due to different location and elevation of LCZ. Overall, the negative correlation between land surface temperature and the average values of building height reached the significant level of more than 0.05, and the positive correlation between the air temperature and average building height reached the significant level of 0.001. The average values and standard deviations of building base area and building volume, building density, and floor area ratio were significantly (p<0.001) positively correlated with urban thermal environment, which indicated a significant positive impact on the urban thermal environment.