Estimating influences of urbanizations on meteorology and air quality of a Central Business District in Shanghai, China

  • Wenjing Zhan
  • Yan ZhangEmail author
  • Weichun Ma
  • Qi Yu
  • Limin Chen
Original Paper


Two sensitivity simulations were performed and compared by model in order to understand how high-rise buildings influence meteorology and air quality in the Lujiazui Central Business District (CBD) of Shanghai, China. The coupled meteorological-photochemical model, Metphomod, was used, with a 500-m horizontal resolution and the observations and the simulated results generally agreed well. The scheme considering buildings within roughness could reduce uncertainties in the simulated meteorological conditions and concentrations of air pollutants. The high-rise buildings decreased wind speeds by 0.5–4 m/s, increased temperatures by up to 1 °C and turbulent kinetic energy by 1–2 J/m3 in the Lujiazui CBD. The changes in meteorological conditions also increased NO by about 2–5 %. However, the complex meteorological changes of higher temperatures and stronger turbulent kinetic energy, coupled with changes of precursors’ concentrations in the Lujiazui CBD, decreased O3 concentrations by up to 6 % somewhere, while increasing O3 formation by up to 2 % in downwind areas. The results suggested that it was necessary to include high-rise building parameters in models when estimating the meteorology and diagnosing air pollution of highly urbanized regions.


High-rise buildings Uncertainty in modeling Meteorology Air quality Urban 



Air Pollution Index


Biogenic Emissions Inventory System


Central Business District


COmputer Programme to calculate Emissions from Road Transport III


Geographic Information System


Greenwich Mean Time


METeorological PHOtochemical coupled MODel


Fifth-Generation Penn State/NCAR Mesoscale Model


National Center for Environmental Prediction


Non-Methane Volatile Organic Compounds


Photosynthetically Active Radiation


Parts Per Billion


Root Mean Square Error


Turbulent Kinetic Energy


Volatile Organic Compounds


Weather Research and Forecasting model



This work was supported by the Foundation for new teacher by Ministry of Education (Grant Nos. 2008024610) and National Natural Science Foundation of China (Grant Nos. 41005076). Thanks for helps of Professor Rahn from University of Rohde Island in English language and grammar.


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Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  • Wenjing Zhan
    • 1
  • Yan Zhang
    • 1
    Email author
  • Weichun Ma
    • 1
  • Qi Yu
    • 1
  • Limin Chen
    • 1
  1. 1.Department of Environmental Science and EngineeringFudan UniversityShanghaiChina

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