Articles | Volume 17, issue 23
https://doi.org/10.5194/acp-17-14239-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-17-14239-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Spatiotemporal distribution of nitrogen dioxide within and around a large-scale wind farm – a numerical case study
Jingyue Mo
Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China
College of Atmospheric Sciences, Lanzhou University, Lanzhou, China
Tao Huang
CORRESPONDING AUTHOR
Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China
Xiaodong Zhang
Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China
Yuan Zhao
Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China
Xiao Liu
College of Atmospheric Sciences, Lanzhou University, Lanzhou, China
Jixiang Li
Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China
College of Atmospheric Sciences, Lanzhou University, Lanzhou, China
Hong Gao
Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China
Jianmin Ma
CORRESPONDING AUTHOR
Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China
Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China
CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing, China
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Cited
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- Large offshore wind farms have minimal direct impacts on air quality M. Golbazi & C. Archer 10.1088/1748-9326/ad8f47
- Chemical composition and source apportionment of PM1 and PM2.5 in a national coal chemical industrial base of the Golden Energy Triangle, Northwest China X. Liang et al. 10.1016/j.scitotenv.2018.12.335
- A systematic bibliometric review of clean energy transition: Implications for low-carbon development W. Zhang et al. 10.1371/journal.pone.0261091
- Making eco-sustainable floating offshore wind farms: Siting, mitigations, and compensations R. Danovaro et al. 10.1016/j.rser.2024.114386
- Tropospheric Ozone Perturbations Induced by Urban Land Expansion in China from 1980 to 2017 X. Zhang et al. 10.1021/acs.est.1c06664
- Impact of afforestation on surface ozone in the North China Plain during the three-decade period X. Zhang et al. 10.1016/j.agrformet.2020.107979
- Impacts of large-scale deployment of mountainous wind farms on wintertime regional air quality in the Beijing-Tian-Hebei area Z. Ruan et al. 10.1016/j.atmosenv.2022.119074
- Numerical and experimental study of the effects of wind turbine operation on sand-dust transport characteristics G. Ma et al. 10.1007/s11433-023-2284-1
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- Removal of PM2.5 and secondary inorganic aerosols in the North China Plain by dry deposition J. Du et al. 10.1016/j.scitotenv.2018.10.024
- The carbon footprint response to projected base stations of China's 5G mobile network X. Zhang et al. 10.1016/j.scitotenv.2023.161906
11 citations as recorded by crossref.
- Large offshore wind farms have minimal direct impacts on air quality M. Golbazi & C. Archer 10.1088/1748-9326/ad8f47
- Chemical composition and source apportionment of PM1 and PM2.5 in a national coal chemical industrial base of the Golden Energy Triangle, Northwest China X. Liang et al. 10.1016/j.scitotenv.2018.12.335
- A systematic bibliometric review of clean energy transition: Implications for low-carbon development W. Zhang et al. 10.1371/journal.pone.0261091
- Making eco-sustainable floating offshore wind farms: Siting, mitigations, and compensations R. Danovaro et al. 10.1016/j.rser.2024.114386
- Tropospheric Ozone Perturbations Induced by Urban Land Expansion in China from 1980 to 2017 X. Zhang et al. 10.1021/acs.est.1c06664
- Impact of afforestation on surface ozone in the North China Plain during the three-decade period X. Zhang et al. 10.1016/j.agrformet.2020.107979
- Impacts of large-scale deployment of mountainous wind farms on wintertime regional air quality in the Beijing-Tian-Hebei area Z. Ruan et al. 10.1016/j.atmosenv.2022.119074
- Numerical and experimental study of the effects of wind turbine operation on sand-dust transport characteristics G. Ma et al. 10.1007/s11433-023-2284-1
- Assessment of Numerical Forecasts for Hub-Height Wind Resource Parameters during an Episode of Significant Wind Speed Fluctuations J. Mo et al. 10.3390/atmos15091112
- Removal of PM2.5 and secondary inorganic aerosols in the North China Plain by dry deposition J. Du et al. 10.1016/j.scitotenv.2018.10.024
- The carbon footprint response to projected base stations of China's 5G mobile network X. Zhang et al. 10.1016/j.scitotenv.2023.161906
Latest update: 14 Dec 2024
Short summary
Wind power is known as one of the cleanest energies. However, wind farms can alter surface characters and meteorological conditions and can affect pollutant distribution around there. We reported an "edge effect" of air pollutants within and around a wind farm, higher concentrations of air pollutants in the adjacent upwind and border regions of a wind farm, and lower concentrations within and in the immediate downwind region. This will provide useful information for air quality forecasting.
Wind power is known as one of the cleanest energies. However, wind farms can alter surface...
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