Journal of Geo-information Science, Volume. 22, Issue 10, 1996(2020)

Numerical Simulation and Comprehensive Identification of Potential Wind Corridors in Beijing

Tushi YANG1...2, Weiwen WANG1,2,*, Ming CHANG1,2, and Xuemei WANG12 |Show fewer author(s)
Author Affiliations
  • 1Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China
  • 2Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou 511443, China
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    Figures & Tables(13)
    Topography of Beijing and surrounding areas
    Distribution of land use types in the WRF simulation area
    The technology roadmap
    Daily series of wind speed at 10 m in January and July 2019
    Evaluation of ventilation performance by maximum roughness length (z0_max) based on USGS land use data (GLC2015)
    WRF-simulated mean wind speed and wind direction at 10 m above the ground
    WRF simulated mean surface temperature at 2 m above the ground (T2)
    Dimensionless ventilation index (Iv) is determined by the order relation method of the surface temperature T2 and roughness of z0
    Comprehensive analysis of ventilation grades in Beijing
    • Table 1. Physical parameterization schemes in WRF simulation

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      Table 1. Physical parameterization schemes in WRF simulation

      物理过程(英文名称)方案选择参考文献
      微物理(Microphysics)Purdue Lin schemeChen & Sun 54]
      长波(Long wave)RRTMGIacono等[55]
      短波(Short wave)Goddard shortwaveChou & Suarez[56],Matsui等[57]
      陆面(Land Surface)Noah Land Surface ModelChen & Dudhia[58]
      行星边界层(Planetary Boundary Layer)Yonsei University schemeHong等59]
    • Table 2. Validation statistics of 10 m wind speed at stations from WRF output

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      Table 2. Validation statistics of 10 m wind speed at stations from WRF output

      站点1月7月
      BIASRMSERBIASRMSER
      北京0.070.830.57-0.090.830.43
      天津0.281.010.490.201.160.20
      塘沽0.741.200.670.440.830.66
      密云1.401.790.331.021.440.22
      延庆0.341.290.34-0.380.770.29
    • Table 3. Validation statistics of 2 m air temperature at stations from WRF output

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      Table 3. Validation statistics of 2 m air temperature at stations from WRF output

      站点1月7月
      BIASRMSERBIASRMSER
      北京0.661.530.85-0.441.830.76
      天津2.172.390.89-0.511.540.85
      塘沽0.051.070.88-1.012.060.74
      密云4.595.040.720.251.640.78
      延庆4.765.340.68-1.892.360.80
    • Table 4. Validation statistics of sea level pressure at stations from WRF output

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      Table 4. Validation statistics of sea level pressure at stations from WRF output

      站点1月7月
      BIASRMSERBIASRMSER
      北京-0.151.890.93-1.181.590.95
      天津-0.331.920.93-0.601.200.95
      塘沽0.221.870.93-0.011.080.94
      密云2.032.880.92-1.641.940.95
      延庆1.882.740.90-0.741.270.94
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    Tushi YANG, Weiwen WANG, Ming CHANG, Xuemei WANG. Numerical Simulation and Comprehensive Identification of Potential Wind Corridors in Beijing[J]. Journal of Geo-information Science, 2020, 22(10): 1996

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    Paper Information

    Received: May. 15, 2020

    Accepted: --

    Published Online: Apr. 23, 2021

    The Author Email: WANG Weiwen (wwangeci@jnu.edu.cn)

    DOI:10.12082/dqxxkx.2020.200242

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