College of Geography and Environment, Shandong Normal University, Jinan, 250358, China.
Jinan Geotechnical Investigation and Surveying Research Institute, Jinan, 250101, China.
Environ Sci Pollut Res Int. 2024 Aug;31(39):51902-51920. doi: 10.1007/s11356-024-34638-3. Epub 2024 Aug 12.
The urban heat island (UHI) effect has become increasingly prevalent and significant with the accelerated pace of urbanization, posing challenges for urban planners and policymakers. To reveal the spatiotemporal variations of the urban heat island effect in Jinan City, this study utilized Landsat satellite images from 2009, 2014, and 2019, employing the classic Mono-Window algorithm to extract land surface temperature (LST). Additionally, Geodetector was introduced to conduct a detailed analysis of the relationship between LST in Jinan City and land cover types (vegetation, water bodies, and buildings). The results indicate a significant increase in the severity of the urban heat island effect in Jinan from 2009 to 2019, with the central urban area consistently exhibiting a high-intensity core heat island. Suburban areas of Jinan show a clear trend of merging their heat island effects with the central urban area. The combined area of strong cool island effect zones and cool island effect zones within water bodies reaches 89.7%, while the combined proportion of heat island and strong heat island effect zones in building areas is 62.2%. Vegetation cover (FVC) exerts the greatest influence among all factors on the intensity level of the urban heat island effect. These findings provide a reliable basis for decision-making related to urban planning and construction in Jinan City.
城市热岛(UHI)效应随着城市化进程的加速而日益普遍和显著,给城市规划者和决策者带来了挑战。为了揭示济南市城市热岛效应的时空变化,本研究利用 2009 年、2014 年和 2019 年的 Landsat 卫星图像,采用经典的单窗算法提取地表温度(LST)。此外,引入地理探测器对济南市 LST 与土地覆盖类型(植被、水体和建筑物)之间的关系进行详细分析。结果表明,济南市城市热岛效应在 2009 年至 2019 年期间显著加剧,市中心城区始终呈现高强度核心热岛。济南市郊区的热岛效应与中心城区融合的趋势明显。水体中强冷岛效应区和冷岛效应区的综合面积达到 89.7%,而建筑物区热岛效应区和强热岛效应区的综合比例达到 62.2%。植被覆盖(FVC)在所有因素中对城市热岛效应强度水平的影响最大。这些发现为济南市城市规划和建设提供了可靠的决策依据。