台风“山竹”影响下的城市风场数值模拟研究

廖孙策; 黄铭枫; 楼文娟; 林巍; 肖志斌

doi:10.7638/kqdlxxb-2021.0048

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台风“山竹”影响下的城市风场数值模拟研究

强/台风风环境及结构风效应 | 更新时间：2026-05-28

- 台风“山竹”影响下的城市风场数值模拟研究
- Numerical simulation of a urban wind field under the influence of typhoon “Mangkhut”
- 空气动力学学报 2021年39卷第4期页码：107-116
- 作者机构：
  
  1. 浙江大学建筑工程学院结构工程研究所,杭州,310058
  2. 浙江大学平衡建筑研究中心,杭州,310058
- 作者简介：
  
  廖孙策（1997-），男，浙江永嘉县人，研究方向：结构风工程. E-mail：11912067@zju.edu.cn
  黄铭枫*，教授，研究方向：结构风工程. E-mail：mfhuang@zju.edu.cn
- 基金信息：
  
  国家自然科学基金（51838012）;科技部政府间国际创新合作重点专项（2018YFE0109500）
- DOI：10.7638/kqdlxxb-2021.0048
  中图分类号： TU312+.1;P444
- 纸质出版：2021
- 稿件说明：
移动端阅览
廖孙策, 黄铭枫, 楼文娟, 等. 台风“山竹”影响下的城市风场数值模拟研究[J]. 空气动力学学报, 2021, 39(4): 107−116.

LIAO Sunce, HUANG Mingfeng, LOU Wenjuan, et al. Numerical simulation of a urban wind field under the influence of typhoon “Mangkhut”[J]. 2021, 39(4): 107-116.
廖孙策, 黄铭枫, 楼文娟, 等. 台风“山竹”影响下的城市风场数值模拟研究[J]. 空气动力学学报, 2021, 39(4): 107−116. DOI： 10.7638/kqdlxxb-2021.0048

LIAO Sunce, HUANG Mingfeng, LOU Wenjuan, et al. Numerical simulation of a urban wind field under the influence of typhoon “Mangkhut”[J]. 2021, 39(4): 107-116. DOI： 10.7638/kqdlxxb-2021.0048.

摘要

基于中尺度气象模式（weather research and forecasting，WRF），对2018年第1822号超强台风“山竹”影响期间深圳气象观测梯度塔附近城市风场开展了数值模拟研究，并结合气象观测塔的现场实测数据进行比较验证。采用移动嵌套网格模拟得到了台风“山竹”的演化过程；耦合城市冠层模型（urban canopy model，UCM）完成了城市台风风场的多尺度精细化模拟；分析了城市冠层模型对WRF模式城市风场模拟精度的影响。基于UCM模型和高精度的下垫面数据，准确模拟出了台风影响下的风场空间分布情况；数值模拟得到的深圳气象梯度塔位置不同高度处台风风速结果与现场实测数据吻合较好，表明耦合UCM模型的WRF模拟能够较为精确地捕捉到台风过境时的城市风场特性。与未耦合UCM模型的WRF模拟结果相比，UCM模型的采用进一步提高了城市台风风场近地面风速的模拟精度。

Abstract

Based on the WRF (weather research and forecasting) model

a numerical simulation of a typhoon wind field near the Shenzhen meteorological observation gradient tower has been carried out for super typhoon “Mangkhut”. Field measurement data at the Shenzhen meteorological observation tower are used for verification. A moving nested mesh is employed to reproduce the evolution of typhoon “Mangkhut”

and the UCM (urban canopy model) is incorporated into the simulation to resolve the multi-scale urban wind field. The spatial distribution of the urban wind field under the influence of the typhoon has been accurately simulated with the aid of the UCM and high-resolution geographical data. The hilly terrain in the city leads to an uneven distributed wind field. The numerically obtained typhoon wind speeds at several heights at the Shenzhen meteorological observation gradient tower agree well with the observed data

indicating that the WRF simulation coupled with UCM could effectively capture the characteristics of urban wind fields when a typhoon passes through. In addition

compared with a WRF simulation without the UCM

it is demonstrated that the numerical accuracy of near-surface wind velocity can be considerably improved by the UCM.

关键词

Keywords

references

LYU M H, ZHAO H X, ZHANG X M, et al. Preliminary study on benefit evaluation of disaster prevention of typhoon based on integrated disaster risk governance model[J]. Journal of Catastrophology, 2021, 36(1): 157-163. (in Chinese)

王立. 村镇建筑群风致干扰效应及工程应用[D]. 大连: 大连理工大学, 2018.

LI Q S, LI X, CHAN P W. Impact of a fifty-year-recurrence super typhoon on skyscrapers in Hong Kong: large-scale field monitoring study[J]. Journal of Structural Engineering, 2021, 147(3): 04021004. DOI: 10.1061/(asce)st.1943-541x.0002930

FU G Q, QUAN Y, GU M, et al. Field measurement of wind characteristics of typhoon rumbia in upper air of lujiazui district at Shanghai[J]. Journal of Hunan University (Natural Sciences), 2021, 48(1): 100-107. (in Chinese) DOI: 10.16339/j.cnki.hdxbzkb.2021.01.011

WANG X, LIU W T, YE Z T, et al. Field measurement of wind characteristics at long-span bridge site in coastal area during typhoon mangkhut[J]. Bridge Construction, 2021, 51(1): 29-36. (in Chinese)

LI M X, QIU X F, SHEN J J, et al. CFD simulation of the wind field in Jinjiang City using a building data generalization method[J]. Atmosphere, 2019, 10(6): 326. DOI: 10.3390/atmos10060326

WANG X J, MA H. Progress of application of the weather research and forecast(WRF) model in China[J]. Advances in Earth Science, 2011, 26(11): 1191-1199. (in Chinese)

GONG Y, ZHOU X S, YANG S, et al. Verification of forecasting effect by WRF model for important weather processes in northeast China in 2012[J]. Journal of Meteorology and Environment, 2015, 31(6): 27-33. (in Chinese)

DUAN Y H. Monitoring and forecasting of finescale structure and impact assessment of landfalling typhoons[J]. Advances in Earth Science, 2015, 30(8): 847-854. (in Chinese)

ZENG X F. Numerical simulation and verification of typhoon wind field by WRF mesoscale model[D]. Guangzhou: Guangzhou University, 2018(in Chinese).

HUANG M F, SUN J P, WANG Y F, et al. Multi-scale simulation of typhoon wind fields by coupling of weather research and forcasting model and large-eddy simulation[J]. Journal of Building Structures, 2020, 41(2): 63-70. (in Chinese) DOI: 10.14006/j.jzjgxb.2018.0735

ZHU R K, KE S T. Wind pressure characteristics of large-span terminal roof under mesoscale typhoon[J]. Journal of Vibration and Shock, 2019, 38(23): 230-238, 252. (in Chinese) DOI: 10.13465/j.cnki.jvs.2019.23.032

CHEN F, JANJIĆ Z, MITCHELL K. Impact of atmospheric surface-layer parameterizations in the new land-surface scheme of the NCEP mesoscale eta model[J]. Boundary-Layer Meteorology, 1997, 85(3): 391-421. DOI: 10.1023/A:1000531001463

CHEN F, KUSAKA H, BORNSTEIN R, et al. The integrated WRF/urban modelling system: development, evaluation, and applications to urban environmental problems[J]. International Journal of Climatology, 2011, 31(2): 273-288. DOI: 10.1002/joc.2158

MENG W G, ZHANG Y X, LI J N, et al. Application of wrf/ucm in the simulation of a heat wave event and urban heat island around Guangzhou City[J]. Journal of Tropical Meteorology, 2010, 26(3): 273-282. (in Chinese)

MA M J, YANG Y, SU Y M. Numerical simulation of a precipitation process in Lanzhou based on the urban canopy model[J]. Journal of Lanzhou University (Natural Sciences), 2020, 56(5): 650-658. (in Chinese) DOI: 10.13885/j.issn.0455-2059.2020.05.012

HE Y C, HE J Y, CHEN W C, et al. Insights from Super Typhoon Mangkhut (1822) for wind engineering practices[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2020, 203: 104238. DOI: 10.1016/j.jweia.2020.104238

ZHAO L, YANG X N, FANG G S, et al. Observation-based study for the evolution of vertical wind profiles in the boundary layer during super typhoon Mangkhut[J]. Acta Aerodynamica Sinica, 2019, 37(1): 43-54. (in Chinese)

LUO Y P, FU J Y, LI Q S, et al. Observation of Typhoon Hato based on the 356-m high meteorological gradient tower at Shenzhen[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2020, 207: 104408. DOI: 10.1016/j.jweia.2020.104408

XIE Z N, DUAN J, LIU M G, et al. Field measurement of near-ground wind characteristics during super typhoon Mangkhut[J]. Journal of Tongji University (Natural Science), 2021, 49(5):652-660. DOI: 10.11908/j.issn.0253-374x.20395

SKAMAROCK W C, KLEMP J B, DUDHIA J, et al. A description of the advanced research WRF version 3[R ] . NCAR/TN-475+STR, 2008. doi: 10.13140/RG.2.1.2310.6645

YANG X Y, LÜ Y Q, WEN J, et al. Evaluations and analysis of applicability of the different parameterization schemes and reanalysis data in the typical alpine lake areas[J]. Plateau Meteorology, 2020, 39(6): 1195-1206. (in Chinese)

CHANG W T, GAO W H, DUAN Y H, et al. The impact of cloud microphysical processes on typhoon numerical simulation[J]. Journal of Applied Meteorological Science, 2019, 30(4): 443-455. (in Chinese)

KUSAKA H, KIMURA F. Coupling a single-layer urban canopy model with a simple atmospheric model: impact on urban heat island simulation for an idealized case[J]. Journal of the Meteorological Society of Japan, 2004, 82(1): 67-80. DOI: 10.2151/jmsj.82.67

ZOU Z C, DENG Y C. Study on numerical simulation of wind field using three kinds of terrain data[J]. Water Resources and Power, 2015, 33(1): 204-206, 182. (in Chinese)

HUANG M F, LIU G X, WANG Y F, et al. Neural network forecasts of Typhoon wind speeds coupled with WRF and measured data[J]. Journal of Building Structures, 2020, 1-13. (in Chinese) DOI: 10.14006/j.jzjgxb.2020.0563

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