Climate–vegetation control on the diurnal and seasonal variations of surface urban heat islands in China
By Decheng Zhou, Liangxia Zhang, Dan Li, Dian Huang, Chao Zhu. 2016
168 citations recorded by the source corpus.
Remotely sensed surface urban heat islands (UHIs) have gained considerable interest in recent decades due to the easy access and the wall-to-wall coverage of satellite products. The magnitude or intensity of surface UHIs have been well documented at regional and global scales, yet a systematic evaluation of the temporal variability over large areas is still lacking. In this study, the diurnal and seasonal cycles of surface UHI intensities (SUHIIs) in China are examined using Aqua/Terra MODIS data from 2008 to 2012. Results show that the mean annual SUHIIs varied greatly in a diurnal cycle, characterized by a positive day-night difference (DND) in Southeast China and the opposite in Northeast and Northwest China. Also, the SUHIIs differed dramatically in a seasonal cycle, indicated by a positive summer-winter difference (SWD) in the day and a negative SWD at night, accompanied by the highly diverse DNDs across seasons and geographic regions. Northwest and Northeast China overall showed the largest DND and SWD (>3 °C), respectively. These diurnal and seasonal variations depend strongly on local climate-vegetation regimes, as indicated by a strong positive correlation between DND and precipitation (and air temperature) and a negative relationship between DND and vegetation activity across cities and seasons. In particular, SHUIIs were quadratically correlated with the mean annual precipitation across space, suggesting that there might be a threshold in terms of the effects induced by local background climate. Our findings highlight the importance of considering the temporal variability of UHIs for more accurate characterization of the associated ecological and social-economic consequences.
Subfields: Environmental Engineering, Global and Planetary Change, Health, Toxicology and Mutagenesis
View Paper: https://www.semanticscholar.org/paper/88e86531b59938ff0e11a27d7cc52c343b877ba3
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Citations in the corpus
- Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives (2018, methodology): “With advancing quality and quantity of remote sensing data (in particular MODIS data) as well as increased computing power, more researchers started to look at the SUHI phenomenon on a regional scale [114,120,139,177–179], a national scale like China [6,53,75,76,109,115,121,126,180], the United Stat”
- Effects of landscape composition and pattern on land surface temperature: An urban heat island study in the megacities of Southeast Asia. (2017, unknown): “…pattern and LST (e.g. Weng, 2001, 2009; Voogt and Oke, 2003; Weng et al., 2004, 2007; Xiao et al., 2007; Yuan and Bauer, 2007; Connors et al., 2013; Zhou et al., 2011, 2016a; Myint et al., 2013; Maimaitiyiming et al., 2014; Fan et al., 2015; Ma et al., 2016; Morabito et al., 2016; Wang et al.,…”