Field measurement study on wind structure characteristics of specific topography under typhoon Maria

ZHANG Chuanxiong1 WANG Yanru1 HUANG Zhangqi2 LI Zhengnong3 WANG Chequan3

(1.Oujiang College, Wenzhou University, China, Wenzhou, Zhejiang Province, China 325035)
(2.Department of Physics, Zhejiang University, China, Hangzhou, Zhejiang Province, China 310000)
(3.Key Laboratory of Building Safety and Energy Efficiency of the Ministry of Education, Hunan University, China, Changsha, Hunan Province, China 410082)

【Abstract】Based on the measured wind speed data of a Doppler sodar in the observation point A and an anemometer at the top of the lab building B in Wenzhou, Zhejiang Province, China under typhoon Maria in 2018, according to logarithmic law, exponential law, D-H model theory, and hypothesis testing methods in statistics, we studied the variations of the horizontal and vertical wind profile curves and came to the following conclusion. Firstly, the linear regression analysis of mean wind speed on two measured points at same height with a distance of 6.21 km under different landscape achieved highly correlation. Faster wind speed and shorter periods led to higher correlations. Secondly, the fitting curve of the horizontal wind profile was quite close to the exponential law model in the influence period and tended to be the D-H model in the stable period. The fitting roughness index of wind profile decreased significantly with the growth of the horizontal mean wind speed. Thirdly, the mean value of the boundary layer height obtained from the calculation of the wind profile sample was 1,421 m, which was 3.06 times more than the standard value and 1.78 times more than the calculation value of normal wind. Lastly, the vertical mean speed varied intensely compared to that in the horizontal direction. The fitting roughness index of wind profile increased with the growth of the vertical mean speed.

【Keywords】 typhoon; wind profile; boundary layer height; exponential law; correlation;


【Funds】 National Natural Science Foundation of China (51678455, 51508419)

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(Translated by WEN JX)


    [1] Davies F, Collier C G, Pearson G N, et al. Doppler lidar measurements of turbulent structure function over an urban area [J]. Journal of Atmospheric & Oceanic Technology, 2003, 21 (5): 753–761.

    [2] Gryning S E, Batchvarova E, Floors R R, et al. Long-term profiles of wind and weibull distribution parameters up to 600 m in a rural coastal and an inland suburban area [J]. Boundary-Layer Meteorology, 2014, 150 (2): 167–184.

    [3] Kelly Mark, Troen I b, Jϕrgensen Hans E. Weibull-k Revisited: “Tall” Profiles and Height Variation of Wind Statistics [J]. Boundary-Layer Meteorology, 2014, 152 (1): 107–124.

    [4] Tamura Y, Iwatani Y, Hibi K, et al. Profiles of mean wind speeds and vertical turbulence intensities measured at seashore and two inland sites using Doppler sodars [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2007, 95 (6): 411–427.

    [5] YAO Bo, NIE Ming, XIE Zhuangning, et al. Study on near-ground turbulence characteristics of typhoon Haima during landfalling [J]. Journal of Building Structures, 2018, 39 (1): 28–34 (in Chinese).

    [6] WANG Dongcheng, DONG Xuguang, QIU Can, et al. Study on maximum wind speed change with height of boundary wind profile radar in Shandong [J]. Journal of Building Structures, 2018, 39 (2): 130–137 (in Chinese).

    [7] Emeis S. Current issues in wind energy meteorology [J]. Meteorological Applications, 2015, 21 (4): 803–819.

    [8] ZHAO Kun, WANG Mingjun, ZHU Kefeng, et al. An analysis of the CINRAD-98D observations for the landfalling typhoon boundary layer wind profiles and their characteristics [J]. Acta Meteorologica Sinica, 2015, 73 (5): 837–852 (in Chinese).

    [9] Franklin J L, Black M L, Valde K. GPS dropwindsonde wind profiles in hurricanes and their operational implications [J]. Weather and Forecasting, 2003, 18 (1): 32–44.

    [10] Hideki Kikumoto, Ryozo Ooka, Hirofumi Sugawara, et al. Observational study of power-law approximation of wind profiles within an urban boundary layer for various wind conditions [J]. Journal of Wind Engineering and Industrial Aerodynamics, 2017, 164 (164)13–21.

    [11] Drew D R, Barlow J F, Lane S E. Observations of wind speed profiles over Greater London, UK, using a Doppler lidar [J]. Journal of Wind Engineering & Industrial Aerodynamics, 2013, 121 (121): 98–105.

    [12] LI Qiusheng, DAI Yimin, LI Zhengnong, et al. Surface-layer wind field characteristics during a severe typhoon ‘Hagupit’ landfalling [J]. Journal of Building Structures, 2010, 31 (4): 54–61 (in Chinese).

    [13] HU Shangyu, LI Qiusheng. Field measurements of wind loads on a low-rise building—Part Ⅰ: Near-surface boundary layer wind characteristics of landfall typhoons [J]. China Civil Engineering Journal, 2012 (2): 77–84 (in Chinese).

    [14] ZHANG Chuanxiong, LI Zhengnong, SHI Wenhai. Field measurements of wind field characteristics of a high-rise building in Wenzhou during the passage of typhoon Fitow [J]. Earthquake Engineering and Engineering Dynamics, 2015, 1 (1): 206–214 (in Chinese).

    [15] CHEN Li, LI Qiusheng, WU Jiurong, et al. Simultaneous monitoring of wind characteristic and wind-induced vibration of main tower in CITIC Plaza [J]. Journal of Natural Disasters, 2006, 15 (3): 169–174 (in Chinese).

    [16] LI Lixiao, XIAO Yiqing, SONG Lili, et al. Study on wind speed profile of typhoon Hagupit using wind observed tower and profile radar measurements [J]. Engineering Mechanics, 2012, 29 (9): 284–293 (in Chinese).

    [17] ZHAO Lin, ZHU Ledong, GE Yaojun. Monte-Carlo simulation about typhoon extreme value wind characteristics in Shanghai region [J]. Acta Aerodynamica Sinica, 2009, 27 (1): 25–31 (in Chinese).

    [18] FANG Pingzhi, ZHAO Bingke, LU Xiaoqin, et al. Study on characteristics of wind profiles affected by landed typhoons in Fuzhou area [J]. Journal of Natural Disasters, 2013, 22 (2): 91–98 (in Chinese).

    [19] ZHAO Xiaoping, ZHU Jingjing, FAN Jing, et al. Analysis on wind characteristics in surface layer during landfall of typhoon Kalmaegi [J]. Meteorological Monthly, 2016, 42 (4): 415–423 (in Chinese).

    [20] Deaves D M. Computations of wind flow over changes in surface roughness [J]. Journal of Wind Engineering & Industrial Aerodynamics, 1981, 7 (1): 65–94.

    [21] Deaves D M. Terrain-dependence of longitudinal R. M. S. velocities in the neutral atmosphere [J]. Journal of Wind Engineering and Industrial Aerodynamics, 1981, 8 (3): 259–274.

    [22] ZHANG Youfang, HUANG Baiqin, ZHANG Jichang. Engineering Mathematics—Linear Algebra, Probability Theory, Mathematical Statistics [M]. Hangzhou: Zhejiang University Press, 2012, 316 (in Chinese).

    [23] Zhou Y, Kareem A. Definition of Wind Profiles in ASCE 7 [J]. Journal of Structural Engineering, 2002, 128 (8): 1082–1086.

This Article


CN: 42-1348/F

Vol , No. 01, Pages 13-25+79

January 2016


Article Outline



  • 1 A brief description of typhoons, instruments, and the measurement process
  • 2 Applied theories and empirical models
  • 3 Analysis of wind profile and wind field characteristics
  • 4 Conclusion and discussion
  • References