考虑粗糙地表的近地层风场仿真模拟研究及误差分析

刘震卿; 张冲; 吴晓波; 李秋明

doi:10.7638/kqdlxxb-2018.0172

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考虑粗糙地表的近地层风场仿真模拟研究及误差分析

研究论文 | 更新时间：2026-05-28

- 考虑粗糙地表的近地层风场仿真模拟研究及误差分析
- Simulation and error analysis of wind field considering surface roughness
- 空气动力学学报 2020年38卷第4期页码：715-722
- 作者机构：
  
  1. 华中科技大学土木工程与力学学院,武汉,430074
  2. 中建国际投资(河南)有限公司,郑州,450000
- 作者简介：
  
  刘震卿(1984-), 男, 山东枣庄人, 副教授, 从事结构、流体等方面的仿真分析研究.E-mail:liuzhenqing@hust.edu.cn
- 基金信息：
  
  国家自然科学基金面上项目（51978307）;国家重点研发计划（2016YFE0127900）
- DOI：10.7638/kqdlxxb-2018.0172
  中图分类号： V211.3
- 纸质出版：2020
- 稿件说明：
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刘震卿, 张冲, 吴晓波, 李秋明. 考虑粗糙地表的近地层风场仿真模拟研究及误差分析[J]. 空气动力学学报, 2020, 38(4): 715-722.

LIU Zhenqing, ZHANG Chong, WU Xiaobo, et al. Simulation and error analysis of wind field considering surface roughness[J]. 2020, 38(4): 715-722.
刘震卿, 张冲, 吴晓波, 李秋明. 考虑粗糙地表的近地层风场仿真模拟研究及误差分析[J]. 空气动力学学报, 2020, 38(4): 715-722. DOI： 10.7638/kqdlxxb-2018.0172.

LIU Zhenqing, ZHANG Chong, WU Xiaobo, et al. Simulation and error analysis of wind field considering surface roughness[J]. 2020, 38(4): 715-722. DOI： 10.7638/kqdlxxb-2018.0172.

摘要

基于Fluent流体计算平台，使用自编UDF程序实现根据地表粗糙度长度添加覆盖植被阻力源项来模拟精细化地表粗糙度，以Askervein山为例建立数值模型，选择了不同的湍流模型进行风场模拟，研究了湍流模型对复杂地形风场CFD模拟的影响，并与实测数据对比分析了湍流模型的适用性，进一步探讨了均一地表粗糙度的模拟效果。研究表明：相比于其他几种湍流模型，LES模拟结果与实测值吻合最好，更适用于复杂地形的风场模拟。地表粗糙度长度对风场的影响在迎风面和背风面处有较大的差异性，合理设置单一地表粗糙度能有效减小模拟误差。

Abstract

Based on the Fluent fluid calculation platform

the self-editing UDF program is used to simulate the roughness according to the roughness length. Taking Askervein Mountain as an example

different turbulence models are selected to simulate the wind field. Compared with the measured data

The influence of turbulence model on CFD simulation of complex terrain wind field is studied

and the applicability of turbulence model is analyzed. The effect of single roughness length is further discussed. The results show that Compared with other turbulence models

LES simulation has higher precision

and is more suitable for wind field simulation of complex terrain. The influence of surface roughness length on the wind field shows great difference in the windward and leeward planes

and reasonable setting of a single surface roughness can effectively reduce the simulation error.

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references

ZHANG Q, ZENG J, YAO T. Interaction of aerodynamic roughness length and windflow conditions and its parameterization over vegetation surface[J]. Chinese Science Bulletin, 2012, 57(13):1559-1567.

ZHANG Q, YAO T, YUE P. Development and test of a multifactorial parameterization scheme of land surface aerodynamic roughness length for flat land surfaces with short vegetation[J]. Science China Earth Sciences, 2016, 59(2):281-296.

ZHANG Q, LI H Y, ZHANG L Y, et al. Responses of the land-surface process and its parameters over the natural vegetation underlying surface of the middle of Gansu in loess plateau to precipitation fluctuation[J]. Acta Phys Sinica, 2013, 62(1):522-532.

YAO W, ZHANG Q, YIN W. The annual variation and its influencing mechanism in the semi-arid area[J]. Journal of Applied Meteorology, 2014, 25(4):454-462.

PATTANAPOL W, WAKES S J, HILTON M J, et al. Modeling of surface roughness for flow over a complex vegetated surface[J]. International Journal of Mathematical, Physical and Engineering Sciences, 2008, 2(1):18-26.

RICHARDS P J, HOXEY R P. Appropiate boundary conditions for computational wind engineering models using the k-ε turbulence model[J ] . Journal of Wind Engineering Industrial Aerodynamics, 1993, 46, 47:145-153.

YANG Y, GU M, CHENS, et al. New inflow boundary conditions for modelling the neutral equilibrium atmospheric boundary layer in computational wind engineering[J]. Journal of Wind Engineering Industrial Aerodynamics, 2009, 97(2):88-95.

DANIEL S ABDI, GIRMA T. Bitsuamlak.Wind flow simulations on idealized and real complex terrain using various turbulence models[J]. Advances in Engineering Software, 2014, 75(8):30-41.

TANG Y, ZHENG S X, ZHAO B W, et al. Study on the self-maintaining problem of balanced atmospheric boundary layer[J]. Engineering Mechanics, 2014, 31(10):129-135.

DENG Y C, LIU S, YU Z, et al. Analysis of the influence of roughness in cfd simulation of actual terrain wind field[J]. Journal of Solar Energy, 2010, 31(12):1644-1648.

HU P, LI Y L, LIAO H L. Equilibrium atmospheric boundary layer simulation based on SST k-ω turbulence model[J]. Journal of Aerodynamics, 2012, 30(6):737-743.

TAYLOR P A, TEUNISSENH W. The askervein hill project:Overview and background data[J]. Boundary-Layer Meteorology, 1987, 39(1-2):15-39.

FERZIGER J H, PERIC M, LEONARD A. Computational methods for fluid dynamics[J]. Physics Today, 1997, 50(3):80-84.

ENOKI K, ISHIHARAT. A generalized canopy model and its application to the prediction of urban wind climate[J]. Journal of Japan Society of Civil Engineers Ser A1, 2012, 68(1):28-47.

TREUHAFT R N, ASNER G P, LAW B E, et al. Forest leaf area density profiles from the quantitative fusion of radar and hyperspectral data[J]. Journal of Geophysical Research Atmospheres, 2002, 107(D21):ACL-1-ACL 7-13.

WANG Y, LU Z L, GUO T Q. CFD simulation of actual terrain wind field based on k-ε model[J ] . Journal of Solar Energy, 2016, 37(4):1037-1042.

TAYLOR P, TEUNISSEN H. The askervein hill project: report on the September/October 1983, main field experiment[R]. Technical Report MSRS-84-6, Meteorological Services Research Branch, Atmospheric Environment Service, Downsview, Ontario, Canada, 1985.

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