Articles | Volume 17, issue 23
https://doi.org/10.5194/acp-17-14239-2017
https://doi.org/10.5194/acp-17-14239-2017
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

Related authors

Associations of interannual variation in summer tropospheric ozone with the Western Pacific Subtropical High in China from 1999 to 2017
Xiaodong Zhang, Ruiyu Zhugu, Xiaohu Jian, Xinrui Liu, Kaijie Chen, Shu Tao, Junfeng Liu, Hong Gao, Tao Huang, and Jianmin Ma
Atmos. Chem. Phys., 23, 15629–15642, https://doi.org/10.5194/acp-23-15629-2023,https://doi.org/10.5194/acp-23-15629-2023, 2023
Short summary
Do large-scale wind farms affect air quality forecast? Modeling evidence in Northern China
Si Li, Tao Huang, Jingyue Mo, Jixiang Li, Xiaodong Zhang, Jiao Du, Shu Tao, Junfeng Liu, Wanyanhan Jiang, Lulu Lian, Hong Gao, Xiaoxuan Mao, Yuan Zhao, and Jianmin Ma
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-991,https://doi.org/10.5194/acp-2019-991, 2020
Revised manuscript not accepted
Short summary
Trans-Pacific transport and evolution of aerosols: spatiotemporal characteristics and source contributions
Zhiyuan Hu, Jianping Huang, Chun Zhao, Yuanyuan Ma, Qinjian Jin, Yun Qian, L. Ruby Leung, Jianrong Bi, and Jianmin Ma
Atmos. Chem. Phys., 19, 12709–12730, https://doi.org/10.5194/acp-19-12709-2019,https://doi.org/10.5194/acp-19-12709-2019, 2019
Short summary
Impact of low-pressure systems on winter heavy air pollution in the northwest Sichuan Basin, China
Guicai Ning, Shigong Wang, Steve Hung Lam Yim, Jixiang Li, Yuling Hu, Ziwei Shang, Jinyan Wang, and Jiaxin Wang
Atmos. Chem. Phys., 18, 13601–13615, https://doi.org/10.5194/acp-18-13601-2018,https://doi.org/10.5194/acp-18-13601-2018, 2018
Short summary
OMI-measured increasing SO2 emissions due to energy industry expansion and relocation in northwestern China
Zaili Ling, Tao Huang, Yuan Zhao, Jixiang Li, Xiaodong Zhang, Jinxiang Wang, Lulu Lian, Xiaoxuan Mao, Hong Gao, and Jianmin Ma
Atmos. Chem. Phys., 17, 9115–9131, https://doi.org/10.5194/acp-17-9115-2017,https://doi.org/10.5194/acp-17-9115-2017, 2017
Short summary

Related subject area

Subject: Gases | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Investigating the differences in calculating global mean surface CO2 abundance: the impact of analysis methodologies and site selection
Zhendong Wu, Alex Vermeulen, Yousuke Sawa, Ute Karstens, Wouter Peters, Remco de Kok, Xin Lan, Yasuyuki Nagai, Akinori Ogi, and Oksana Tarasova
Atmos. Chem. Phys., 24, 1249–1264, https://doi.org/10.5194/acp-24-1249-2024,https://doi.org/10.5194/acp-24-1249-2024, 2024
Short summary
Meteorological characteristics of extreme ozone pollution events in China and their future predictions
Yang Yang, Yang Zhou, Hailong Wang, Mengyun Li, Huimin Li, Pinya Wang, Xu Yue, Ke Li, Jia Zhu, and Hong Liao
Atmos. Chem. Phys., 24, 1177–1191, https://doi.org/10.5194/acp-24-1177-2024,https://doi.org/10.5194/acp-24-1177-2024, 2024
Short summary
Evaluating modelled tropospheric columns of CH4, CO, and O3 in the Arctic using ground-based Fourier transform infrared (FTIR) measurements
Victoria A. Flood, Kimberly Strong, Cynthia H. Whaley, Kaley A. Walker, Thomas Blumenstock, James W. Hannigan, Johan Mellqvist, Justus Notholt, Mathias Palm, Amelie N. Röhling, Stephen Arnold, Stephen Beagley, Rong-You Chien, Jesper Christensen, Makoto Deushi, Srdjan Dobricic, Xinyi Dong, Joshua S. Fu, Michael Gauss, Wanmin Gong, Joakim Langner, Kathy S. Law, Louis Marelle, Tatsuo Onishi, Naga Oshima, David A. Plummer, Luca Pozzoli, Jean-Christophe Raut, Manu A. Thomas, Svetlana Tsyro, and Steven Turnock
Atmos. Chem. Phys., 24, 1079–1118, https://doi.org/10.5194/acp-24-1079-2024,https://doi.org/10.5194/acp-24-1079-2024, 2024
Short summary
The high-resolution Global Aviation emissions Inventory based on ADS-B (GAIA) for 2019–2021
Roger Teoh, Zebediah Engberg, Marc Shapiro, Lynnette Dray, and Marc E. J. Stettler
Atmos. Chem. Phys., 24, 725–744, https://doi.org/10.5194/acp-24-725-2024,https://doi.org/10.5194/acp-24-725-2024, 2024
Short summary
Zonal variability of methane trends derived from satellite data
Jonas Hachmeister, Oliver Schneising, Michael Buchwitz, John P. Burrows, Justus Notholt, and Matthias Buschmann
Atmos. Chem. Phys., 24, 577–595, https://doi.org/10.5194/acp-24-577-2024,https://doi.org/10.5194/acp-24-577-2024, 2024
Short summary

Cited articles

Baidya, R. S.: Simulating impacts of wind farms on local hydrometeorology, J. Wind Eng. Ind. Aerod., 99, 491–498, https://doi.org/10.1016/j.jweia.2010.12.013, 2011.
Baidya, R. S., Pacala, S. W., and Walko, R. L.: Can large wind farms affect local meteorology?, J. Geophys. Res., 109, D19101, https://doi.org/10.1029/2004JD004763, 2004.
Barrie, D. B. and Kirk-Davidoff, D. B.: Weather response to a large wind turbine array, Atmos. Chem. Phys., 10, 769–775, https://doi.org/10.5194/acp-10-769-2010, 2010.
Beljaars, A. C. M.: The parameterization of surface fluxes in large-scale models under free convection, Q. J. Roy. Meteor. Soc., 121, 255–270, https://doi.org/10.1002/qj.49712152203, 1994.
Blahak, U., Goretzki, B., and Meis, J.: A simple parameterization of drag forces induced by large wind farms for numerical weather prediction models, in: Proceedings of European wind energy conference and exhibition, 1 June 2010, Warsaw, Poland, 4577–4585, available at: http://proceedings.ewea.org/ewec2010/allfiles2/757_EWEC2010presentation.pdf (last access: 28 November 2017), 2010.
Download
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.
Altmetrics
Final-revised paper
Preprint