沿海复杂地形台风登陆过程风场多尺度数值模拟

董浩天; 陶韬; 杜晓庆

doi:10.7638/kqdlxxb-2021.0054

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

沿海复杂地形台风登陆过程风场多尺度数值模拟

强/台风风环境及结构风效应 | 更新时间：2026-05-28

- 沿海复杂地形台风登陆过程风场多尺度数值模拟
- Multi-scale numerical simulation of the wind field over a coastal complex terrain during a typhoon landfall
- 空气动力学学报 2021年39卷第4期页码：147-152
- 作者机构：
  
  1. 上海大学,上海,200444
  2. 东京工业大学，日本东京　152-8550
- 作者简介：
  
  董浩天*（1990-），男，河北秦皇岛人，博士后，研究方向：风工程. E-mail：haotiandong@shu.edu.cn
- 基金信息：
  
  国家自然科学基金（52008239）
- DOI：10.7638/kqdlxxb-2021.0054
  中图分类号： TU312+.1;P429;P458.1+24
- 纸质出版：2021
- 稿件说明：
移动端阅览
董浩天, 陶韬, 杜晓庆. 沿海复杂地形台风登陆过程风场多尺度数值模拟[J]. 空气动力学学报, 2021, 39(4): 147−152.

DONG Haotian, TAO Tao, DU Xiaoqing. Multi-scale numerical simulation of the wind field over a coastal complex terrain during a typhoon landfall[J]. 2021, 39(4): 147-152.
董浩天, 陶韬, 杜晓庆. 沿海复杂地形台风登陆过程风场多尺度数值模拟[J]. 空气动力学学报, 2021, 39(4): 147−152. DOI： 10.7638/kqdlxxb-2021.0054

DONG Haotian, TAO Tao, DU Xiaoqing. Multi-scale numerical simulation of the wind field over a coastal complex terrain during a typhoon landfall[J]. 2021, 39(4): 147-152. DOI： 10.7638/kqdlxxb-2021.0054.

摘要

我国沿海地区的台风风场研究与预报具有显著的经济和社会效益。多尺度风场数值模拟方法是将WRF中尺度数值气象模拟同小尺度风场大涡模拟结合的数值模拟方法，可实现台风影响下沿海复杂地形风场的精细化研究。本文以2012年台风启德为背景，通过WRF模式有效再现了台风中心路径和近地平均风速风向的24 h时程；采用循环入流方法，将WRF得到的平均风剖面中加入高频风速成分，并作为复杂地形风场大涡模拟的入口条件，模拟近地风场的时间和空间分布。研究表明，台风登陆后受到沿海复杂地形的影响，近地流向湍流强度较海面上增强1倍左右，风速高频成分显著增强，并出现了0.73 m/s向下的竖向平均速度，对局部地区的抗风安全产生较为不利的影响。

Abstract

The research and forecast of typhoons in China's coastal regions have significant economic and social benefits. A thorough investigation of the wind field over a coastal complex terrain is performed using the multi-scale method which is a combination of the meso-scale WRF (weather research and forecasting) and the micro-scale LES (large eddy simulation). The 24-hour central route of typhoon Kai-tak in 2012

as well as the time series of 10-min averaged wind speed and direction at 100 m above the ground are produced by WRF. Based on the temporal-averaged wind speed profiles from WRF

a cycling turbulence generator is applied to obtain a quasi-stationary inlet condition for the LES simulation

which further yields temporal- and spatial-distributions of wind speeds near the ground. The numerical results agree reasonably well with site observations and show that the streamwise turbulence intensity near the ground doubles as the typhoon boundary layer marches from the ocean to the observation site. Meanwhile

the high-frequency wind velocities

which are related to the terrain effect

have been considerably enhanced. Also

a downward mean wind speed of 0.73 m/s occurs at the leeside of hills. As a result

strong gusts might occur in the surface layer above coastal complex terrain during the landfall of typhoon.

关键词

Keywords

references

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).DOI: 10.7638/kqdlxxb-2018.0297.

WANG H, KE S T, WANG T G. Wind loads characteristic of large wind turbine considering typhoon transit process[J]. Acta Aerodynamica Sinica, 2020, 38(5): 915-923(in Chinese).DOI: 10.7638/kqdlxxb-2019.0108.

SKAMAROCK W C, KLEMP J B. A time-split nonhydrostatic atmospheric model for weather research and forecasting applications[J]. Journal of Computational Physics, 2008, 227(7): 3465-3485.DOI: 10.1016/j.jcp.2007.01.037.

GU J F, XIAO Q N, KUO Y H, et al. Assimilation and simulation of typhoon Rusa (2002) using the WRF system[J]. Advances in Atmospheric Sciences, 2005, 22(3): 415-427.DOI: 10.1007/bf02918755.

TSE K T, LI S W, FUNG J C H. A comparative study of typhoon wind profiles derived from field measurements, meso-scale numerical simulations, and wind tunnel physical modeling[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2014, 131: 46-58. doi: 10.1016/j.jweia.2014.05.001.

JIMÉNEZ P A, DUDHIA J. Improving the representation of resolved and unresolved topographic effects on surface wind in the WRF model[J]. Journal of Applied Meteorology and Climatology, 2012, 51(2): 300-316.DOI: 10.1175/jamc-d-11-084.1.

DONG H T, CAO S Y, TAKEMI T, et al. WRF simulation of surface wind in high latitudes[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2018, 179: 287-296. doi: 10.1016/j.jweia.2018.06.009.

SONG L L, WU Z P, QIN P, et al. An analysis of the characteristics of strong winds in the surface layer over a complex terrain[J]. Acta Meteorologica Sinica, 2009, 67(3): 452-460(in Chinese).DOI:10.3321/j.issn: 0577-6619.2009.03.012.

HE X H, QIN H X, ZOU Y F, et al. Field measurement and investigation of wind characteristics at the site of a long-span arch bridge in the periphery of typhoon kujira[J]. Journal of Hunan University(Naturnal Science), 2017, 44(1): 23-31(in Chinese).DOI:10.16339/j.cnki.hdxbzkb.2017.01.004.

李永乐, 蔡宪棠, 唐康, 等. 大跨度山区桥梁桥址区风场特性数值模拟研究[C]//第十四届全国结构风工程学术会议, 2009.

中交公路规划设计院. 公路桥梁抗风设计规范. JTG/T D60-01-2004[S]. 北京: 人民交通出版社, 2004.

TAMURA T. Towards practical use of LES in wind engineering[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2008, 96(10-11): 1451-1471. doi: 10.1016/j.jweia.2008.02.034.

CAO S Y, WANG T, GE Y J, et al. Numerical study on turbulent boundary layers over two-dimensional hills—Effects of surface roughness and slope[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2012, 104-106: 342-349. doi: 10.1016/j.jweia.2012.02.022.

PERIVOLARIS Y, VOUGIOUKA A N, ALAFOUZOS V V, et al. Coupling of a mesoscale atmospheric prediction system with a CFD microclimatic model for production forecasting of wind farms in complex terrain: test case in the island of Evia[C ] //European Wind Energy Conference, 2006. doi: 10.13140/2.1.2103.4881 .

董浩天. 考虑流动温度效应复杂地形风场WRF+LES跨尺度数值模拟[D]. 上海: 同济大学, 2018.

WYSZOGRODZKI A A, MIAO S G, CHEN F. Evaluation of the coupling between mesoscale-WRF and LES-EULAG models for simulating fine-scale urban dispersion[J]. Atmospheric Research, 2012, 118: 324-345. doi: 10.1016/j.atmosres.2012.07.023.

NAKAYAMA H, TAKEMI T, NAGAI H. Large-eddy simulation of urban boundary-layer flows by generating turbulent inflows from mesoscale meteorological simulations[J]. Atmospheric Science Letters, 2012, 13(3): 180-186.DOI: 10.1002/asl.377.

LUND T S, WU X H, SQUIRES K D. Generation of turbulent inflow data for spatially-developing boundary layer simulations[J]. Journal of Computational Physics, 1998, 140(2): 233-258. doi: 10.1006/jcph.1998.5882.

NOZAWA K, TAMURA T. Large eddy simulation of the flow around a low-rise building immersed in a rough-wall turbulent boundary layer[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2002, 90(10): 1151-1162.DOI: 10.1016/S0167-6105(02)00228-3.

WEISSMANN M, HARNISCH F, Wu C. the influence of assimilating dropsonde data on typhoon track and midlatitude forecasts[J]. Monthly Weather Review, 2011, 139: 908-920.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

台风非平稳湍流特性研究进展与思考

台风“山竹”影响下的城市风场数值模拟研究

关键区域优化对高速列车横风气动特性影响

考虑近距离海洋下垫面影响的对称风机翼型静气动特性

高速斜板液膜冷却的数值模拟研究