Abstract
As the main measure to regulate the heat island effect in cities, the influence mechanism of the green space spatial distribution on the cooling effect has important significance for the study of the thermal environment in coastal cities. This study takes the green space of seven coastal cities in Shandong Peninsula as the study area. Multi-source remote sensing data are used to quantitatively analyze the spatial distribution of green space and land surface temperature in coastal cities and explore the distribution pattern of the cooling effect of green space in coastal cities. The results show that the cooling effect of green space in coastal cities is influenced by spatial distribution. Linear regression results of NDVI and LST indicated that the LST gradually decreases with the increase of NDVI during the daytime. At night, with the increase of NDVI index, the LST changes to a lesser extent relative to the day, indicating that the temperature at night is in a more stable state. As the distance from the coastline increased, the cooling effect of the green space became stronger in daytime. On the contrary, at night, the seven dot lines show a different trend from the daytime; except for DY and QD, the slope becomes bigger as the distance from the coastline increases, which indicates that the farther the green area is from the coastline, the weaker the cooling effect is.
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Qi, Y., Li, X., Gao, W. (2023). Study on the Cooling Effect of Green Space in Shandong Peninsula Coastal Cities Based on Multi-source Remote Sensing Data. In: Park, J.S., Yang, L.T., Pan, Y., Park, J.H. (eds) Advances in Computer Science and Ubiquitous Computing. CUTECSA 2022. Lecture Notes in Electrical Engineering, vol 1028. Springer, Singapore. https://doi.org/10.1007/978-981-99-1252-0_48
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DOI: https://doi.org/10.1007/978-981-99-1252-0_48
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