Spatiotemporal distribution of nitrogen dioxide within and around a large-scale wind farm – a numerical case study
Jingyue Mo,Tao Huang,Xiaodong Zhang,Yuan Zhao,Xiao Liu,Jixiang Li,Hong Gao,and Jianmin Ma
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
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
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
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
Viewed
Total article views: 3,590 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,385
1,066
139
3,590
470
128
157
HTML: 2,385
PDF: 1,066
XML: 139
Total: 3,590
Supplement: 470
BibTeX: 128
EndNote: 157
Views and downloads (calculated since 14 Aug 2017)
Cumulative views and downloads
(calculated since 14 Aug 2017)
Total article views: 2,976 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,051
790
135
2,976
252
125
155
HTML: 2,051
PDF: 790
XML: 135
Total: 2,976
Supplement: 252
BibTeX: 125
EndNote: 155
Views and downloads (calculated since 01 Dec 2017)
Cumulative views and downloads
(calculated since 01 Dec 2017)
Total article views: 614 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
334
276
4
614
218
3
2
HTML: 334
PDF: 276
XML: 4
Total: 614
Supplement: 218
BibTeX: 3
EndNote: 2
Views and downloads (calculated since 14 Aug 2017)
Cumulative views and downloads
(calculated since 14 Aug 2017)
Viewed (geographical distribution)
Total article views: 3,590 (including HTML, PDF, and XML)
Thereof 3,585 with geography defined
and 5 with unknown origin.
Total article views: 2,976 (including HTML, PDF, and XML)
Thereof 2,974 with geography defined
and 2 with unknown origin.
Total article views: 614 (including HTML, PDF, and XML)
Thereof 611 with geography defined
and 3 with unknown origin.
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...
