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Open AccessArticle

Spatiotemporal Characteristics of Near-Surface Wind in Shenzhen

1
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
2
Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China
3
International Pacific Research Center and Department of Atmospheric Sciences, School of Ocean and Earth Science and Technology, University of Hawaii at Manoa, Honolulu, HI 96822, USA
4
National Supercomputing Shenzhen Center, Shenzhen, Guangdong 518055, China
5
School of Mathematics and Computational Science, Xiangtan University, Xiangtan 411105, China
6
Shenzhen Meteorological Bureau, Shenzhen 518040, China
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(2), 739; https://doi.org/10.3390/su12020739
Received: 25 October 2019 / Revised: 11 January 2020 / Accepted: 15 January 2020 / Published: 20 January 2020
The spatiotemporal characteristics of near-surface wind in Shenzhen were investigated in this study by using hourly observations at 92 automatic weather stations (AWSs) from 2009 to 2018. The results show that during the past 10 years, most of the stations showed a decreasing trend in the annual mean of the 10 min average wind speed (avg-wind) and the mean of the 3 s average wind speed (gust wind). Over half of the decreasing trends at the stations were statistically significant (p < 0.05). Seasonally, the decrease in wind speed was the most severe in spring, followed by autumn, winter, and summer. The distribution of wind speed tends to be greater in the east and coastal areas for both avg-wind and gust wind. From September to March of the following year, the prevailing wind direction in Shenzhen was northerly, and from April to August, the prevailing wind direction was southerly. The seasonal wind speed distribution exhibited two different types, spring–summer type and autumn–winter type, which may be induced by their different prevailing wind directions. The analysis by the empirical orthogonal function (EOF) method confirmed the previous findings that the mean wind speed was decreasing in Shenzhen and that two different seasonal wind speed spatial distribution patterns existed. Such a study could provide references for wind forecasting and risk assessment in the study area. View Full-Text
Keywords: near-surface wind; spatial distribution; temporal characteristics; trends; Shenzhen near-surface wind; spatial distribution; temporal characteristics; trends; Shenzhen
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MDPI and ACS Style

Liu, C.; Li, Q.; Zhao, W.; Wang, Y.; Ali, R.; Huang, D.; Lu, X.; Zheng, H.; Wei, X. Spatiotemporal Characteristics of Near-Surface Wind in Shenzhen. Sustainability 2020, 12, 739. https://doi.org/10.3390/su12020739

AMA Style

Liu C, Li Q, Zhao W, Wang Y, Ali R, Huang D, Lu X, Zheng H, Wei X. Spatiotemporal Characteristics of Near-Surface Wind in Shenzhen. Sustainability. 2020; 12(2):739. https://doi.org/10.3390/su12020739

Chicago/Turabian Style

Liu, Cheng; Li, Qinglan; Zhao, Wei; Wang, Yuqing; Ali, Riaz; Huang, Dian; Lu, Xiaoxiong; Zheng, Hui; Wei, Xiaolin. 2020. "Spatiotemporal Characteristics of Near-Surface Wind in Shenzhen" Sustainability 12, no. 2: 739. https://doi.org/10.3390/su12020739

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