Wang Rongxiang, Lu Tao, He Bo, Wang Fang, Huang Qiao, Qian Zihua, Min Jie, Li Yuechen
Chongqing Planning & Design Institute, Chongqing 401147, China; Key Laboratory of Monitoring, Evaluation and Early Warning of Territorial Spatial Planning Implementation, Ministry of Natural Resources, Chongqing 401147, China; School of Geography and Tourism, Chongqing Key Laboratory of GIS Application, Chongqing Normal University, Chongqing 401331, China.
Chongqing Planning & Design Institute, Chongqing 401147, China; Key Laboratory of Monitoring, Evaluation and Early Warning of Territorial Spatial Planning Implementation, Ministry of Natural Resources, Chongqing 401147, China.
Sci Total Environ. 2024 Dec 1;954:176577. doi: 10.1016/j.scitotenv.2024.176577. Epub 2024 Sep 27.
The rapid urbanization has exacerbated the heat island effect, impacting city development and residents' health. This study, using Local Climate Zones (LCZ) as a framework, connects spatial structure, resource allocation, and thermal environment research. It investigates the spatiotemporal heterogeneity of the surface thermal environment and its driving forces, crucial for mitigating heat issues. Utilizing various data sources like remote sensing images, road network data, land use data, high-resolution street view data, and building data, the research employs the random forest algorithm to map LCZs in Chongqing's central urban area. Through mathematical statistics, equi-sector analysis, ring-layer analysis, and Pearson correlation analysis, the study examines seasonal variations in spatiotemporal heterogeneity and driving mechanisms of the surface thermal environment. Key findings include: (1) The central urban area of Chongqing is dominated by open-building and vegetation-type LCZs, with building-type LCZs showing a "clustered" distribution, while natural-type LCZs are mainly found in the suburbs with ribbon and block distribution in the urban area. (2) The surface thermal environment in the study area correlates strongly with surface cover and exhibits significant high temperature effects in summer. (3) The surface thermal conditions vary significantly among different LCZs and exhibit seasonal patterns, natural-type LCZs generally have lower temperatures compared to building-type LCZs.(4) The surface thermal characteristics within the same category of LCZs in different locations display distinct differences and seasonal variations. (5) The internal temperatures of LCZs are significantly linked to four surface attributes, each displaying seasonal fluctuations. Greenness, height, and wetness are inversely related to the surface thermal conditions, while brightness shows a positive correlation. Both seasonal variations and LCZ types differences have a noticeable influence on their respective driving mechanisms to some degree.
快速城市化加剧了热岛效应，影响城市发展和居民健康。本研究以局部气候区（LCZ）为框架，将空间结构、资源配置和热环境研究联系起来。它调查了地表热环境的时空异质性及其驱动力，这对缓解热问题至关重要。利用遥感影像、道路网络数据、土地利用数据、高分辨率街景数据和建筑数据等各种数据源，该研究采用随机森林算法对重庆中心城区的局部气候区进行制图。通过数理统计、等扇区分析、圈层分析和皮尔逊相关分析，该研究考察了地表热环境时空异质性的季节变化及其驱动机制。主要发现包括：（1）重庆中心城区以开放建筑和植被型局部气候区为主，建筑型局部气候区呈“簇状”分布，而自然型局部气候区主要分布在郊区，在城区呈带状和块状分布。（2）研究区域的地表热环境与地表覆盖密切相关，夏季呈现出显著的高温效应。（3）不同局部气候区的地表热状况差异显著，并呈现出季节性模式，自然型局部气候区的温度通常低于建筑型局部气候区。（4）不同位置同一类局部气候区内的地表热特征存在明显差异和季节变化。（5）局部气候区的内部温度与四个地表属性显著相关，每个属性都呈现出季节性波动。绿度、高度和湿度与地表热状况呈负相关，而亮度呈正相关。季节变化和局部气候区类型差异在一定程度上对各自的驱动机制都有显著影响。
