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: 3,528 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,344
1,051
133
3,528
459
124
149
HTML: 2,344
PDF: 1,051
XML: 133
Total: 3,528
Supplement: 459
BibTeX: 124
EndNote: 149
Views and downloads (calculated since 14 Aug 2017)
Cumulative views and downloads
(calculated since 14 Aug 2017)
Total article views: 2,918 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
2,011
778
129
2,918
244
121
147
HTML: 2,011
PDF: 778
XML: 129
Total: 2,918
Supplement: 244
BibTeX: 121
EndNote: 147
Views and downloads (calculated since 01 Dec 2017)
Cumulative views and downloads
(calculated since 01 Dec 2017)
Total article views: 610 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
333
273
4
610
215
3
2
HTML: 333
PDF: 273
XML: 4
Total: 610
Supplement: 215
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: 3,528 (including HTML, PDF, and XML)
Thereof 3,523 with geography defined
and 5 with unknown origin.
Total article views: 2,918 (including HTML, PDF, and XML)
Thereof 2,917 with geography defined
and 1 with unknown origin.
Total article views: 610 (including HTML, PDF, and XML)
Thereof 606 with geography defined
and 4 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...
