Sun Yan-Wei, Wang Run, Guo Qing-Hai, Gao Chao
Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China.
Center for Land and Marine Spatial Utilization and Governance Research, Ningbo University, Ningbo 315211, China.
Huan Jing Ke Xue. 2021 Jan 8;42(1):501-512. doi: 10.13227/j.hjkx.202006009.
Considering a background of global warming, the effect of urban heat island (UHI) has become a serious ecological and environmental problem that is commonly faced by modern cities worldwide, posing challenges to the physical and mental health of residents in urban areas, air quality, and the healthy growth of surface vegetation. Using time series MODIS land surface temperature data products from 2001 to 2018, we evaluated the urban heat island intensity (UHII) and its spatiotemporal patterns in 1232 major urban human settlement patches (area>10 km) across China based on the consistency method. A random forest regression model (RF) was also used to reveal the driving mechanism of urban heat island intensity in China due to human activities, urban morphology, vegetation, topography, and meteorological factors. The results show that more than 90% of cities and towns in China have exhibited significant diurnal heat island phenomena on the scale of human settlements. The diurnal UHII reaches up to (0.75±0.6)℃ and (0.81±0.53)℃, respectively. The daytime UHII in summer was significantly higher than that in winter, while there was little difference in nighttime UHII between summer and winter. During the past 18 years, the daytime UHII in China has shown a slight downward trend, while the nighttime UHII has increased significantly, with no significant change in summer and on mean annual scales. In terms of spatial distribution, the eastern coastal provinces have higher daytime UHII than those of the western or plateau provinces, while the nighttime UHII shows the opposite pattern. The RF regression results show that the average annual rainfall and latitudinal position of cities and towns are the two most important factors controlling the daytime and nighttime UHII in China. Narrowing the differences in vegetation growth between urban and rural environments will have a mitigating effect on the daytime UHII, and controlling the expansion of small and medium-sized towns will also play a positive role in the continuously rising nighttime UHII.
考虑到全球变暖的背景,城市热岛(UHI)效应已成为全球现代城市普遍面临的严重生态环境问题,对城市居民的身心健康、空气质量以及地表植被的健康生长构成挑战。利用2001年至2018年的MODIS地表温度时间序列数据产品,我们基于一致性方法评估了中国1232个主要城市人类聚居区(面积>10平方公里)的城市热岛强度(UHII)及其时空格局。还使用随机森林回归模型(RF)揭示了中国城市热岛强度受人类活动、城市形态、植被、地形和气象因素影响的驱动机制。结果表明,中国90%以上的城镇在人类聚居区尺度上呈现出显著的日热岛现象。日UHII分别高达(0.75±0.6)℃和(0.81±0.53)℃。夏季白天的UHII显著高于冬季,而夏季和冬季夜间的UHII差异不大。在过去18年中,中国白天的UHII呈轻微下降趋势,而夜间的UHII显著增加,夏季和年平均尺度上无显著变化。在空间分布方面,东部沿海省份白天的UHII高于西部或高原省份,而夜间的UHII则呈现相反的格局。RF回归结果表明,城镇的年平均降雨量和纬度位置是控制中国白天和夜间UHII的两个最重要因素。缩小城乡植被生长差异将对白天的UHII起到缓解作用,控制中小城镇的扩张对持续上升的夜间UHII也将起到积极作用。