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: 2,766 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,880
792
94
2,766
338
57
65
HTML: 1,880
PDF: 792
XML: 94
Total: 2,766
Supplement: 338
BibTeX: 57
EndNote: 65
Views and downloads (calculated since 14 Aug 2017)
Cumulative views and downloads
(calculated since 14 Aug 2017)
Total article views: 2,237 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,560
587
90
2,237
191
54
63
HTML: 1,560
PDF: 587
XML: 90
Total: 2,237
Supplement: 191
BibTeX: 54
EndNote: 63
Views and downloads (calculated since 01 Dec 2017)
Cumulative views and downloads
(calculated since 01 Dec 2017)
Total article views: 529 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
320
205
4
529
147
3
2
HTML: 320
PDF: 205
XML: 4
Total: 529
Supplement: 147
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: 2,766 (including HTML, PDF, and XML)
Thereof 2,778 with geography defined
and -12 with unknown origin.
Total article views: 2,237 (including HTML, PDF, and XML)
Thereof 2,248 with geography defined
and -11 with unknown origin.
Total article views: 529 (including HTML, PDF, and XML)
Thereof 530 with geography defined
and -1 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...