Spatiotemporal distribution of nitrogen dioxide within and around a large-scale wind farm – a numerical case study

Mo, Jingyue; Huang, Tao; Zhang, Xiaodong; Zhao, Yuan; Liu, Xiao; Li, Jixiang; Gao, Hong; Ma, Jianmin

doi:https://doi.org/10.5194/acp-17-14239-2017

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.

Special issue:

The community version of the Weather Research and Forecasting...

https://doi.org/10.5194/acp-17-14239-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 23

Research article

|

01 Dec 2017

Research article |

| 01 Dec 2017

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

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Final revised paper (published on 01 Dec 2017)
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Preprint (discussion started on 14 Aug 2017)
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Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Review comments on Mo et al, "Tempo-spatial distribution of nitrogen dioxide within and around a large-scale wind farm-a numerical case study"', Anonymous Referee #2, 09 Oct 2017
- AC2: 'Responses to the Referee #2's comments', J. Ma, 24 Oct 2017
RC2: 'A few comments', Anonymous Referee #1, 10 Oct 2017
- AC1: 'Responses to the Referee #1's comments', J. Ma, 24 Oct 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by J. Ma on behalf of the Authors (24 Oct 2017) Author's response Manuscript

ED: Publish as is (29 Oct 2017) by Qiang Zhang

AR by J. Ma on behalf of the Authors (31 Oct 2017)

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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.