Satellite‐Based Assessment of Local Environment Change by Wind Farms in China

Abstract As a widely used renewable energy, migrating to wind power can help reduce air pollution and CO2 emissions. However, the construction of wind farms could have certain impacts on the local ecology and meteorology. Based on satellite observations along with the ERA‐Interim reanalysis meteorol...

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Autores principales:	Xiao‐lin Wu, Li‐xiao Zhang, Chuanfeng Zhao, Tana Gegen, Cai‐wang Zheng, Xiao‐qin Shi, Jing Geng, Husi Letu
Formato:	article
Lenguaje:	EN
Publicado:	American Geophysical Union (AGU) 2019
Materias:	NDVI wind farm surface temperature land cover wind speed XilinGol Astronomy QB1-991 Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/579e82befae44461aab88a7f44725b90
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spelling	oai:doaj.org-article:579e82befae44461aab88a7f44725b902021-11-30T22:55:32ZSatellite‐Based Assessment of Local Environment Change by Wind Farms in China2333-508410.1029/2019EA000628https://doaj.org/article/579e82befae44461aab88a7f44725b902019-06-01T00:00:00Zhttps://doi.org/10.1029/2019EA000628https://doaj.org/toc/2333-5084Abstract As a widely used renewable energy, migrating to wind power can help reduce air pollution and CO2 emissions. However, the construction of wind farms could have certain impacts on the local ecology and meteorology. Based on satellite observations along with the ERA‐Interim reanalysis meteorology, this study examines the difference of vegetation characteristics, local wind speed, and surface temperature between the wind power regions and adjacent comparison areas in XilinGol. It shows that the construction of wind farms results in significant differences (p = 0.01) of normalized difference vegetation index values in the study areas compared to the adjacent areas in summer. The construction of the wind farms in study area has considerable influence on the change of local vegetation growth and related meteorological variables. It reduces the fraction of grassland, disrupts the wind field when speed are less than 4 m/s, and changes the spatial pattern of temperature during daytime and nighttime. However, the influence decreases with time after the installment of wind turbines. This study suggests that it is necessary to assess the impact of renewable energy construction on ecological environment and local climate, particularly for the short‐term period after its installment.Xiao‐lin WuLi‐xiao ZhangChuanfeng ZhaoTana GegenCai‐wang ZhengXiao‐qin ShiJing GengHusi LetuAmerican Geophysical Union (AGU)articleNDVIwind farmsurface temperatureland coverwind speedXilinGolAstronomyQB1-991GeologyQE1-996.5ENEarth and Space Science, Vol 6, Iss 6, Pp 947-958 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	NDVI wind farm surface temperature land cover wind speed XilinGol Astronomy QB1-991 Geology QE1-996.5
spellingShingle	NDVI wind farm surface temperature land cover wind speed XilinGol Astronomy QB1-991 Geology QE1-996.5 Xiao‐lin Wu Li‐xiao Zhang Chuanfeng Zhao Tana Gegen Cai‐wang Zheng Xiao‐qin Shi Jing Geng Husi Letu Satellite‐Based Assessment of Local Environment Change by Wind Farms in China
description	Abstract As a widely used renewable energy, migrating to wind power can help reduce air pollution and CO2 emissions. However, the construction of wind farms could have certain impacts on the local ecology and meteorology. Based on satellite observations along with the ERA‐Interim reanalysis meteorology, this study examines the difference of vegetation characteristics, local wind speed, and surface temperature between the wind power regions and adjacent comparison areas in XilinGol. It shows that the construction of wind farms results in significant differences (p = 0.01) of normalized difference vegetation index values in the study areas compared to the adjacent areas in summer. The construction of the wind farms in study area has considerable influence on the change of local vegetation growth and related meteorological variables. It reduces the fraction of grassland, disrupts the wind field when speed are less than 4 m/s, and changes the spatial pattern of temperature during daytime and nighttime. However, the influence decreases with time after the installment of wind turbines. This study suggests that it is necessary to assess the impact of renewable energy construction on ecological environment and local climate, particularly for the short‐term period after its installment.
format	article
author	Xiao‐lin Wu Li‐xiao Zhang Chuanfeng Zhao Tana Gegen Cai‐wang Zheng Xiao‐qin Shi Jing Geng Husi Letu
author_facet	Xiao‐lin Wu Li‐xiao Zhang Chuanfeng Zhao Tana Gegen Cai‐wang Zheng Xiao‐qin Shi Jing Geng Husi Letu
author_sort	Xiao‐lin Wu
title	Satellite‐Based Assessment of Local Environment Change by Wind Farms in China
title_short	Satellite‐Based Assessment of Local Environment Change by Wind Farms in China
title_full	Satellite‐Based Assessment of Local Environment Change by Wind Farms in China
title_fullStr	Satellite‐Based Assessment of Local Environment Change by Wind Farms in China
title_full_unstemmed	Satellite‐Based Assessment of Local Environment Change by Wind Farms in China
title_sort	satellite‐based assessment of local environment change by wind farms in china
publisher	American Geophysical Union (AGU)
publishDate	2019
url	https://doaj.org/article/579e82befae44461aab88a7f44725b90
work_keys_str_mv	AT xiaolinwu satellitebasedassessmentoflocalenvironmentchangebywindfarmsinchina AT lixiaozhang satellitebasedassessmentoflocalenvironmentchangebywindfarmsinchina AT chuanfengzhao satellitebasedassessmentoflocalenvironmentchangebywindfarmsinchina AT tanagegen satellitebasedassessmentoflocalenvironmentchangebywindfarmsinchina AT caiwangzheng satellitebasedassessmentoflocalenvironmentchangebywindfarmsinchina AT xiaoqinshi satellitebasedassessmentoflocalenvironmentchangebywindfarmsinchina AT jinggeng satellitebasedassessmentoflocalenvironmentchangebywindfarmsinchina AT husiletu satellitebasedassessmentoflocalenvironmentchangebywindfarmsinchina
_version_	1718406202875969536

Satellite‐Based Assessment of Local Environment Change by Wind Farms in China

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