Affiliation:
1. College of Horticulture and Landscape Architecture, Southwest University, Chongqing 400700, China
2. China Merchants Group, China Merchants Shekou Chengdu Region, Chengdu 610000, China
3. School of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
4. Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
Abstract
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%.
Funder
Chongqing City Administration Bureau
Subject
Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health
Reference53 articles.
1. Extraction of basic trends of urban expansion in China over past 40 years from satellite images;Wen;Chin. Geogr. Sci.,2016
2. National Bureau of Statistics of the People’s Republic of China (2022). China Statistical Yearbook, China Statistics Press.
3. United Nations, Department of Economic and Social Affairs, Population Division (2018). World Urbanization Prospects: The 2018 Revision, United Nations, Department of Economic and Social Affairs, Population Division.
4. Spatio-Temporal Changes and Influencing Factors of Surface Temperature in Urumqi City Based on Multi-Source Data;Ahmed;Environ. Eng. Sci.,2022
5. Measuring Dhaka’s urban transformation using nighttime light data;Morshed;J. Geovis. Spat. Anal.,2022