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Proceedings Paper

Relationship between urban heat island and green infrastructure fraction in Harbin
Author(s): Yujing Bai; Rong Guo; Yangang Xing
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Paper Abstract

Urbanisation contributed to the presence of urban heat island phenomenon, and aggravated urban heat island effect intensity with the improvement of urbanisation level. Overheat weather condition caused severe threat to human life and health, while green infrastructure including water bodies has been validated to be able to reduce urban land surface temperature in different extent. To examine the impact of green infrastructure on urban heat island effect in Harbin, with the aid of ENVI and geographic information system software, this paper retrieved seasonal Harbin land surface temperature from 2000 to 2015 using Landsat series and MODIS 8-day remote sensing data, and further computed surface urban heat island intensity(SUHII). Then, to build the quantitative relationship between green infrastructure fraction and urban heat island intensity applying regression analysis method. Finally, by means of ENVI-MET software, this article simulated urban heat island intensity change based on different green infrastructure scenarios. The results showed that, as far as administrative region of Harbin scale, surface urban heat island intensity both in summer and in winter reduced from 2000(6.55°C in summer, 4.15°C in winter) to 2015(2.6°C in summer, 0.47°C in winter), and SUHII in summer is higher than it in winter except 2005; Green infrastructure fraction is negative correlated with SUHII; Simulation result indicated that increase on green infrastructure would facilitate to mitigation of urban heat island effect. The result of this study would provide some help and advice for land use planning decision and urban construction in the future of Harbin.

Paper Details

Date Published: 29 October 2018
PDF: 13 pages
Proc. SPIE 10793, Remote Sensing Technologies and Applications in Urban Environments III, 107930D (29 October 2018); doi: 10.1117/12.2501937
Show Author Affiliations
Yujing Bai, Harbin Institute of Technology (China)
Cardiff Univ. (United Kingdom)
Rong Guo, Harbin Institute of Technology (China)
Yangang Xing, Cardiff Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 10793:
Remote Sensing Technologies and Applications in Urban Environments III
Thilo Erbertseder; Nektarios Chrysoulakis; Ying Zhang, Editor(s)

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