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

Supplement

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

Data sets

China Meteorological Observatory hour by hour observation data Climatic Data Center, National Meteorological Information Center, China Meteorological Administration (CMA) http://data.cma.cn/

NCEP GDAS/FNL 0.25 Degree Global Tropospheric Analyses and Forecast Grids National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) https://rda.ucar.edu/datasets/ds083.3/index.html

HTAP harmonized emissions database 2008–2010 Task Force on Hemispheric Transport of Air Pollution http://edgar.jrc.ec.europa.eu/htap_v2/index.php

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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.