College of Horticulture and Landscape Architecture, Southwest University, Chongqing 400700, China.
China Merchants Group, China Merchants Shekou Chengdu Region, Chengdu 610000, China.
Int J Environ Res Public Health. 2023 Feb 13;20(4):3294. doi: 10.3390/ijerph20043294.
Relationship exploration between the street-greenery rate (SGR) of different street types and land surface temperature (LST) is of great significance for realizing regional sustainable development goals. Given the lack of consideration of the local climate zone concept (LCZ), Chongqing's Inner Ring region was selected as a case to assess the relationship between SGR and LST. Firstly, the LST was retrieved based on Landsat 8 imagery, which was calibrated by the atmospheric correction method; next, the street-greenery rates of different streets were calculated based on the semantic segmentation method; finally, street types were classified in detail by introducing LCZ, and the relationship between SGR and LST was investigated. The results showed that: (1) The LST spatial distribution pattern was closely related to human activity, with the high-temperature zones mainly concentrated in the core commercial areas, dense residential areas, and industrial cluster areas; (2) The average SGR values of expressways, main trunk roads, secondary trunk roads, and branch roads were 21.70%, 22.40%, 24.60%, and 26.70%, respectively. The level of SGR will decrease when the street width increases; (3) There is a negative correlation between the SGR and the LST in most streets. Among them, the LST of secondary trunk roads in low-rise and low-density built-up areas with a south-north orientation had a strong negative correlation with the SGR. Moreover, the wider the street, the higher the cooling efficiency of plants. Specifically, the LST of streets in low-rise and low-density built-up areas with south-north orientation may decrease by 1°C when the street-greenery rate is increased by 3.57%.
不同街道类型的街道绿化率(SGR)与地表温度(LST)之间的关系的探索对于实现区域可持续发展目标具有重要意义。鉴于缺乏对当地气候带概念(LCZ)的考虑,选择重庆内环区域作为案例来评估 SGR 与 LST 之间的关系。首先,基于 Landsat 8 图像通过大气校正方法对 LST 进行了反演;接下来,基于语义分割方法计算了不同街道的 SGR;最后,通过引入 LCZ 详细分类街道类型,并研究了 SGR 与 LST 之间的关系。结果表明:(1)LST 的空间分布模式与人的活动密切相关,高温区主要集中在核心商业区、密集居民区和工业集群区;(2)高速公路、主干路、次干路和支路的平均 SGR 值分别为 21.70%、22.40%、24.60%和 26.70%。随着街道宽度的增加,SGR 的水平会降低;(3)大多数街道的 SGR 与 LST 呈负相关。其中,南北向低层低密度建成区次干路的 LST 与 SGR 呈强负相关。此外,街道越宽,植物的降温效率越高。具体来说,当街道绿化率增加 3.57%时,南北向低层低密度建成区街道的 LST 可能会降低 1°C。