Spatiotemporal Characteristics of Near-Surface Wind in Shenzhen

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 mea...

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Main Authors: Cheng Liu, Qinglan Li, Wei Zhao, Yuqing Wang, Riaz Ali, Dian Huang, Xiaoxiong Lu, Hui Zheng, Xiaolin Wei
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/12/2/739
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spelling doaj-3dc89f5d903a4f94941c1bc5458904e52020-11-25T01:30:13ZengMDPI AGSustainability2071-10502020-01-0112273910.3390/su12020739su12020739Spatiotemporal Characteristics of Near-Surface Wind in ShenzhenCheng Liu0Qinglan Li1Wei Zhao2Yuqing Wang3Riaz Ali4Dian Huang5Xiaoxiong Lu6Hui Zheng7Xiaolin Wei8Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaInternational Pacific Research Center and Department of Atmospheric Sciences, School of Ocean and Earth Science and Technology, University of Hawaii at Manoa, Honolulu, HI 96822, USAShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaShenzhen Meteorological Bureau, Shenzhen 518040, ChinaShenzhen Meteorological Bureau, Shenzhen 518040, ChinaThe 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 (<i>p</i> &lt; 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&#8722;summer type and autumn&#8722;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.https://www.mdpi.com/2071-1050/12/2/739near-surface windspatial distributiontemporal characteristicstrendsshenzhen
collection DOAJ
language English
format Article
sources DOAJ
author Cheng Liu
Qinglan Li
Wei Zhao
Yuqing Wang
Riaz Ali
Dian Huang
Xiaoxiong Lu
Hui Zheng
Xiaolin Wei
spellingShingle Cheng Liu
Qinglan Li
Wei Zhao
Yuqing Wang
Riaz Ali
Dian Huang
Xiaoxiong Lu
Hui Zheng
Xiaolin Wei
Spatiotemporal Characteristics of Near-Surface Wind in Shenzhen
Sustainability
near-surface wind
spatial distribution
temporal characteristics
trends
shenzhen
author_facet Cheng Liu
Qinglan Li
Wei Zhao
Yuqing Wang
Riaz Ali
Dian Huang
Xiaoxiong Lu
Hui Zheng
Xiaolin Wei
author_sort Cheng Liu
title Spatiotemporal Characteristics of Near-Surface Wind in Shenzhen
title_short Spatiotemporal Characteristics of Near-Surface Wind in Shenzhen
title_full Spatiotemporal Characteristics of Near-Surface Wind in Shenzhen
title_fullStr Spatiotemporal Characteristics of Near-Surface Wind in Shenzhen
title_full_unstemmed Spatiotemporal Characteristics of Near-Surface Wind in Shenzhen
title_sort spatiotemporal characteristics of near-surface wind in shenzhen
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2020-01-01
description 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 (<i>p</i> &lt; 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&#8722;summer type and autumn&#8722;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.
topic near-surface wind
spatial distribution
temporal characteristics
trends
shenzhen
url https://www.mdpi.com/2071-1050/12/2/739
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