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Study on the Cooling Effect of Green Space in Shandong Peninsula Coastal Cities Based on Multi-source Remote Sensing Data

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Advances in Computer Science and Ubiquitous Computing (CUTECSA 2022)

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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References

  1. Gago EJ, Roldan J, Pacheco-Torres R, Ordóñez J (2013) The city and urban heat islands: a review of strategies to mitigate adverse effects. Renew Sustain Energy Rev 25:749–758

    Article  Google Scholar 

  2. Kong F, Yin H, James P, Hutyra LR, He HS (2014) Effects of spatial pattern of greenspace on urban cooling in a large metropolitan area of eastern China. Landscape Urban Plan 128:35–47

    Article  Google Scholar 

  3. Li J, Song C, Cao L, Zhu F, Meng X, Wu J (2011) Impacts of landscape structure on surface urban heat islands: a case study of Shanghai China. Remote Sens Environ 115(12):3249–3263

    Article  Google Scholar 

  4. Tran DX, Pla F, Latorre-Carmona P, Myint SW, Caetano M, Kieu HV (2017) Characterizing the relationship between land use land cover change and land surface temperature. Isprs J Photogramm 124:119–132

    Article  Google Scholar 

  5. Guha S, Govil H, Gill N, Dey A (2020) Analytical study on the relationship between land surface temperature and land use/land cover indices. Ann GIS 26(2):201–216

    Article  Google Scholar 

  6. Chen L, Wang X, Cai X, Yang C, Lu X (2022) Combined effects of artificial surface and urban blue-green space on land surface temperature in 28 major cities in China. Remote Sens-Basel 14(3):448

    Article  Google Scholar 

  7. Lee S, Lee K, Jin W, Song H (2009) Effect of an urban park on air temperature differences in a central business district area. Landsc Ecol Eng 5(2):183–191

    Article  Google Scholar 

  8. Sun R, Chen L (2017) Effects of green space dynamics on urban heat islands: mitigation and diversification. Ecosyst Serv 23:38–46

    Article  Google Scholar 

  9. Wu J, Liu C, Wang H (2022) Analysis of Spatio-temporal patterns and related factors of thermal comfort in subtropical coastal cities based on local climate zones. Build Environ 207:108568

    Article  Google Scholar 

  10. Li X, Zhou W, Ouyang Z, Xu W, Zheng H (2012) Spatial pattern of greenspace affects land surface temperature: evidence from the heavily urbanized Beijing metropolitan area China. Landscape Ecol 27(6):887–898

    Article  Google Scholar 

  11. Cheng X, Nizamani MM, Jim CY, Balfour K, Da L, Qureshi S et al (2020) Using SPOT data and FRAGSTAS to analyze the relationship between plant diversity and green space landscape patterns in the tropical coastal City of Zhanjiang China. Remote Sens-Basel 12(21):3477

    Article  Google Scholar 

  12. Zhang X, Liu L, Zhao T, Gao Y, Chen X, Mi J (2022) GISD30: global 30 m impervious-surface dynamic dataset from 1985 to 2020 using time-series landsat imagery on the google earth engine platform. Earth Syst Sci Data 14(4):1831–1856

    Article  Google Scholar 

  13. Xu H (2005) A study on information extraction of water body with the modified normalized difference water index (MNDWI). J Remote Sens 9(5):589–595

    MathSciNet  Google Scholar 

  14. Min M, Lin C, Duan X, Jin Z, Zhang L (2019) Spatial distribution and driving force analysis of urban heat island effect based on raster data: a case study of the Nanjing metropolitan area China. Sustain Cities Soc 50:101637

    Article  Google Scholar 

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Correspondence to Weijun Gao .

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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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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-1251-3

  • Online ISBN: 978-981-99-1252-0

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