Next Article in Journal
Continued Monitoring and Modeling of Xingfeng Solid Waste Landfill Settlement, China, Based on Multiplatform SAR Images
Previous Article in Journal
‘The Best of Two Worlds’—Combining Classifier Fusion and Ecological Models to Map and Explain Landscape Invasion by an Alien Shrub
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Dynamic Cooling Effects of Permanent Urban Green Spaces in Beijing, China

1
State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Aerospace Information Research Institute of Chinese Academy of Sciences, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
2
Beijing Engineering Research Center for Global Land Remote Sensing Products, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
3
Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
4
School of Earth and Space Sciences, Peking University, Beijing 100871, China
5
College of Data Science, Taiyuan University of Technology, Taiyuan 030024, China
6
Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(16), 3282; https://doi.org/10.3390/rs13163282
Submission received: 8 July 2021 / Revised: 15 August 2021 / Accepted: 16 August 2021 / Published: 19 August 2021

Abstract

Urban green spaces (UGSs) play a critical role in human thermal comfort, energy consumption and urban ecology. Although the heat mitigation capability of UGSs has been frequently reported, many of the current understandings are based on short-term observations, and the long-term temporal dynamics of UGS cooling effects are still lacking. This gap may cause over- or underestimation and largely ignores how the cooling effects change with climate change and urban growth. Accordingly, we used Landsat-based time series data to analyze the changes in permanent UGS greenness, surface-cooling effects and their biophysical responses in Beijing in the past 40 years (1984–2020). The results demonstrate segmented changes in UGS surface cooling that were mainly linked to the responses of canopy transpiration and albedo to vegetation conditions. During a rapid greening of UGSs in the recent two decades, transpiration cooling dominated albedo-induced warming to provide a discernable cooling enhancement. In addition, such enhancement showed seasonal differences ranging from less than 1 °C to more than 2 °C, and the most evident enhancement occurred on summer days (~2.4 °C) when vegetation is most needed to provide cooling. The highlighted dynamics of UGSs help urban planners better balance the maintenance costs and the environmental gains for UGS management.
Keywords: urban green spaces; dynamic monitoring; surface cooling; urban climate; Beijing urban green spaces; dynamic monitoring; surface cooling; urban climate; Beijing
Graphical Abstract

Share and Cite

MDPI and ACS Style

Zhao, J.; Zhao, X.; Liang, S.; Wang, H.; Liu, N.; Liu, P.; Wu, D. Dynamic Cooling Effects of Permanent Urban Green Spaces in Beijing, China. Remote Sens. 2021, 13, 3282. https://doi.org/10.3390/rs13163282

AMA Style

Zhao J, Zhao X, Liang S, Wang H, Liu N, Liu P, Wu D. Dynamic Cooling Effects of Permanent Urban Green Spaces in Beijing, China. Remote Sensing. 2021; 13(16):3282. https://doi.org/10.3390/rs13163282

Chicago/Turabian Style

Zhao, Jiacheng, Xiang Zhao, Shunlin Liang, Haoyu Wang, Naijing Liu, Ping Liu, and Donghai Wu. 2021. "Dynamic Cooling Effects of Permanent Urban Green Spaces in Beijing, China" Remote Sensing 13, no. 16: 3282. https://doi.org/10.3390/rs13163282

APA Style

Zhao, J., Zhao, X., Liang, S., Wang, H., Liu, N., Liu, P., & Wu, D. (2021). Dynamic Cooling Effects of Permanent Urban Green Spaces in Beijing, China. Remote Sensing, 13(16), 3282. https://doi.org/10.3390/rs13163282

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop