Aerodynamic roughness of urban areas derived from wind observations

被引:148
|
作者
Grimmond, CSB [1 ]
King, TS
Roth, M
Oke, TR
机构
[1] Indiana Univ, Dept Geog, Climate & Meteorol Program, Bloomington, IN 47405 USA
[2] Univ British Columbia, Dept Geog, Atmospher Sci Programme, Vancouver, BC V6T 1W5, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
roughness length; urban area; zero-plane displacement length;
D O I
10.1023/A:1001525622213
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This study contributes to the sparse literature on anemometrically determined roughness parameters in cities. Data were collected using both slow and fast response anemometry in suburban areas of Chicago, Los Angeles, Miami and Vancouver. In all cases the instruments were mounted on tall towers, data were sorted by stability condition, and zero-plane displacement (z(d)) was taken into account. Results indicate the most reliable slow response estimates of surface roughness are based on the standard deviation of the wind speed obtained from observations at one level. For residential areas, winter roughness values (leaf-off) are 80-90% of summer (leaf-on) values. Direct comparison of fast and slow response methods at one site give very similar results. However, when compared to estimates using morphometric methods at a wider range of sites, the fast response methods tend to give larger roughness length values. A temperature variance method to determine z(d) from fast response sensors is found to be useful at only one of the four sites. There is no clear best choice of anemometric method to determine roughness parameters. There is a need for more high quality field observations, especially using fast response sensors in urban settings.
引用
收藏
页码:1 / 24
页数:24
相关论文
共 50 条
  • [31] INFLUENCE OF DISTRIBUTED LEADING EDGE ROUGHNESS ON AERODYNAMIC PERFORMANCE OF WIND FOIL
    Fan S.
    Zhan J.
    Hu J.
    Liang P.
    Feng X.
    Dai L.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2023, 44 (11): : 325 - 330
  • [32] Study on influence of large roughness on aerodynamic performance of wind turbine blades
    Meng L.
    Zhao Z.
    Wu H.
    Wang T.
    Zheng Y.
    Xu B.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2021, 42 (12): : 119 - 125
  • [33] Surface and Aerodynamic Parameters Estimation for Urban and Rural Areas
    Sozzi, Roberto
    Casasanta, Giampietro
    Ciardini, Virginia
    Finardi, Sandro
    Petenko, Igor
    Cecilia, Andrea
    Argentini, Stefania
    ATMOSPHERE, 2020, 11 (02)
  • [35] Entrainment of radio frequency chaff by wind as a function of surface aerodynamic roughness
    Gillies, JA
    Nickling, WG
    JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2003, 53 (02): : 206 - 216
  • [36] Towards urban wind utilization: The spatial characteristics of wind energy in urban areas
    Cao, Junliang
    Chen, Zhaoxing
    Kong, Shuai
    Liu, Lin
    Wang, Ruixin
    JOURNAL OF CLEANER PRODUCTION, 2024, 450
  • [37] Aerodynamic roughness of glacial ice surfaces derived from high-resolution topographic data
    Smith, Mark W.
    Quincey, Duncan J.
    Dixon, Timothy
    Bingham, Robert G.
    Carrivick, Jonathan L.
    Irvine-Fynn, Tristram D. L.
    Rippin, David M.
    JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE, 2016, 121 (04) : 748 - 766
  • [38] Aerodynamic Optimization of the Windscreens for Railway Bridge in Strong Wind Areas
    Ma, Cunming
    Duan, Qingsong
    CIVIL ENGINEERING, ARCHITECTURE AND SUSTAINABLE INFRASTRUCTURE II, PTS 1 AND 2, 2013, 438-439 : 1112 - 1115
  • [39] Deducing Aerodynamic Roughness Length From Abundant Anemometer Tower Data to Inform Wind Resource Modeling
    Wang, Jiamin
    Yang, Kun
    Yuan, Ling
    Liu, Jiarui
    Peng, Zhong
    Ren, Zuhuan
    Zhou, Xu
    GEOPHYSICAL RESEARCH LETTERS, 2024, 51 (21)
  • [40] Predicting Urban Surface Roughness Aerodynamic Parameters Using Random Forest
    Duan, G.
    Takemi, T.
    JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2021, 60 (07) : 999 - 1018