Impact of Rapid Urban Sprawl on the Local Meteorological Observational Environment Based on Remote Sensing Images and GIS Technology

doi:10.3390/rs13132624

CORC > 地球环境研究所 > 中国科学院地球环境研究所 > 黄土与第四纪地质国家重点实验室（2010~）

	Impact of Rapid Urban Sprawl on the Local Meteorological Observational Environment Based on Remote Sensing Images and GIS Technology
	Zhang, Yanhao 1,2; Ning, Guicai 3; Chen, Shihan 2; Yang, Yuanjian 1,2,4
刊名	REMOTE SENSING
	2021-07-01
卷号	13 期号:13 页码:17
关键词	urban sprawl anthropogenic heat meteorological observation environment remote sensing GIS technology
DOI	10.3390/rs13132624
通讯作者	Yang, Yuanjian(yyj1985@nuist.edu.cn)
英文摘要	Rapid increases in urban sprawl affect the observational environment around meteorological stations by changing the land use/land cover (LULC) and the anthropogenic heat flux (AHF). Based on remote sensing images and GIS technology, we investigated the impact of changes in both LULC and AHF induced by urbanization on the meteorological observational environment in the Yangtze River Delta (YRD) during 2000-2018. Our results show that the observational environments around meteorological stations were significantly affected by the rapid expansion of built-up areas and the subsequent increase in the AHF, with a clear spatiotemporal variability. A positive correlation was observed between the proportion of built-up areas and the AHF around meteorological stations. The AHF was in the order urban stations > suburban stations > rural stations, but the increases in the AHF were greater around suburban and rural stations than around urban stations. Some meteorological stations need to be relocated to address the adverse effects induced by urbanization. The proportion of built-up areas and AHF around the new stations decreased significantly after relocation, weakening the urban heat island effect on the meteorological observations and substantially improving the observational environment. As a result, the observed daily mean temperature (relative humidity) decreased (increased) around the new stations after relocation. Our study comprehensively shows the impact of rapid urban sprawl on the observational environment around meteorological stations by assessing changes in both LULC and the AHF induced by urbanization. These findings provide scientific insights for the selection and construction of networks of meteorological stations and are therefore helpful in scientifically evaluating and correcting the impact of rapid urban sprawl on meteorological observations.
资助项目	National Key Research and Development Program of China[2018YFC1506502] ; NSFC-DFG[42061134009] ; Guangdong Key Laboratory of Ocean Remote Sensing[2017B030301005-LORS2001] ; State Key Laboratory of Loess and Quaternary Geology[SKLLQG2010]
WOS关键词	HEAT RELEASE ESTIMATION ; GLOBAL DISTRIBUTION ; TEMPERATURE ; URBANIZATION ; BIAS ; SERIES ; CHINA ; MODEL
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	MDPI
WOS记录号	WOS:000671100900001
资助机构	National Key Research and Development Program of China ; NSFC-DFG ; Guangdong Key Laboratory of Ocean Remote Sensing ; State Key Laboratory of Loess and Quaternary Geology
内容类型	期刊论文
源URL	[http://ir.ieecas.cn/handle/361006/16843]
专题	地球环境研究所_黄土与第四纪地质国家重点实验室（2010~）
通讯作者	Yang, Yuanjian
作者单位	1.Nanjing Univ Informat Sci & Technol, Sch Geog Sci, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Peoples R China 2.Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Nanjing 210044, Peoples R China 3.Chinese Univ Hong Kong, Inst Environm Energy & Sustainabil, Hong Kong 999077, Peoples R China 4.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Yanhao,Ning, Guicai,Chen, Shihan,et al. Impact of Rapid Urban Sprawl on the Local Meteorological Observational Environment Based on Remote Sensing Images and GIS Technology[J]. REMOTE SENSING,2021,13(13):17.
APA	Zhang, Yanhao,Ning, Guicai,Chen, Shihan,&Yang, Yuanjian.(2021).Impact of Rapid Urban Sprawl on the Local Meteorological Observational Environment Based on Remote Sensing Images and GIS Technology.REMOTE SENSING,13(13),17.
MLA	Zhang, Yanhao,et al."Impact of Rapid Urban Sprawl on the Local Meteorological Observational Environment Based on Remote Sensing Images and GIS Technology".REMOTE SENSING 13.13(2021):17.