Simulation of Highly Resolved Wind Field on a Severe Cold Air Case over Zhoushan Sea-Crossing Bridge

  • GU Tingting ,
  • LI Xiaoli ,
  • LIU Danni ,
  • PAN Yaying
Expand
  • Zhejiang Meteorological Service Center, Hangzhou 310017, Zhejiang, China;Zhoushan Meteorological Service Center, Zhoushan 316021, Zhejiang, China

Received date: 2017-08-12

  Online published: 2018-08-28

Abstract

Based on the NCEP FNL reanalysis data, the TAPM model was used to simulate the severe cold air case with a high spatial resolution of 300 m×300 m over Zhoushan sea-crossing bridge from 24 to 27 November 2015.The results of simulation were verified with the observational data from traffic meteorological observation stations on the bridge.Thus, the temporal and spatial distribution characteristics of cross wind at different sections of Zhoushan sea-crossing bridge were analyzed.The results show that TAPM model has a good performance in simulating the evolution and distribution characters of wind fields over the Zhoushan sea-crossing bridge during the severe cold air event.The variation trends of wind speed, wind direction and cross wind speed in every hour are near to the observations, as well as the wind speed and the time when the maximum wind happens.However, the model underestimates the wind speed at the land station.During the process of this severe cold air, the strong cross wind mainly influences the middle section of Jintang bridge, the east section of Xihoumen bridge and Cezi isle, where the cross wind speed is higher than 11 m·s-1.The duration time of the strong cross wind force scale over 6 is more than 33 hours.Although the mean wind speed from Taoyaomen bridge to Zhoushan sections is high, the cross wind speed is much smaller and only about 2~7 m·s-1, the negative impact of the high cross wind is the least compared with other sections.What should be paid attention to is that the risk of cross wind will suddenly increase in the two curve road sections in the east-west direction of Jintang isle of the Yongzhou highway and the ramp between the Taoyaomen bridge and the Cezi isle, which may bring potential traffic hazard and requires additional driving attention.The research provides an effective and feasible way to improve the forecasting and warning of highly resolved wind field and provide better management for the Zhoushan sea-crossing bridge traffic safety.

Cite this article

GU Tingting , LI Xiaoli , LIU Danni , PAN Yaying . Simulation of Highly Resolved Wind Field on a Severe Cold Air Case over Zhoushan Sea-Crossing Bridge[J]. Plateau Meteorology, 2018 , 37(4) : 1074 -1082 . DOI: 10.7522/j.issn.1000-0534.2017.00086

References

[1]Coleman S A, Baker C J, 1990.High sided road vehicles in cross winds[J].Journal of Wind Engineering and Industrial Aerodynamics, 36(2):1382-1392.DOI:10.1016/0167-6105(90)90134-X.
[2]Cheng W L, Lai L W, Den W, et al, 2014.The relationship between typhoons' peripheral circulation and ground-level ozone concentrations in central Taiwan[J].Environ Monit Assess, 186(2):791-804.DOI:10.1007/s10661-013-3417-7.
[3]Hurley P, Physick W, Luhar K, 2005.TAPM:A practical approach to prognostic meteorological and air pollution modelling[J].Environ Modelling & Software, 20(6):737-752.DOI:10.1016/j.envsoft.2004.04.006.
[4]Lin T, Jun F M, De L C, 2009.Performance of TAPM against MM5 at urban scale during G?TE2001 campaign[J].Boreal Environment Research, 14(2):338-350.
[5]Luhar A K, Hurley P J, 2004.Application of a prognostic model TAPM to sea-breeze flows, surface concentrations, and fumigating plumes[J].Atmos Environ, 19(6):591-601.DOI:10.1016/j.envsoft.2003.08.011.
[6]Sedarous J A, Soliman A, 2007. Modeling and calibration of an aerodynamic cross-wind gust test facility[C]//SAE Technical Pape.
[7]Thatcher M, Hurley P, 2010.A customisable downscaling approach for local-scale meteorological and air pollution forecasting:Performance evaluation for a year of urban meteorological forecasts[J].Environmental Modelling& Software, 25(1):82-92.DOI:10.1016/j.envsoft.2009.07.014.
[8]Dong K Y, Lu B C, 2008.Influences of bad weather to movements of vehicles[J].Journal of Chongqing Jiao Tong University (Social Sciences Edition) 8(6):24-26.DOI:10.3969/j.issn.1674-0297.2008.06.008.<br/>董珂洋, 陆百川, 2008.恶劣天气对车辆安全行驶的影响[J].重庆交通大学学报(社科版), 8(6):24-26.
[9]Han B R, Fan W K, Song Y, et al, 2015.Research on speed limit model or driving safety on highway with crosswind[J].Highway, 10:46-50.<br/>韩宝睿, 范伟康, 宋越, 等, 2015.横风作用下公路行车安全限速模型研究[J].公路, 10:46-50.
[10]Li L, Chen P W, Yang L, et al, 2013.Study on numerical simulation of wind field around buildings over complex terrain[J].J Trop Meteor, 29(2):315-320.DOI:10.3969/j.issn.1004-4965.2013.02.016.<br/>李磊, 陈柏纬, 杨琳, 等, 2013.复杂地形与建筑物共存情况下的风场模拟研究[J].热带气象学报, 29(2):315-320.
[11]Li X X, Huang T, Wang X, et al, 2017.Analysis of characters of wind field in Lanzhou new district[J].Plateau Meteor, 36(4):1001-1009.DOI:10.7522/j.issn.1000-0534.2016.00092.<br/>李晓霞, 黄涛, 王兴, 等, 2017.兰州新区近地层风场时空特征分析[J].高原气象, 36(4):1001-1009.
[12]Liu C F, 1990.Climatic assessment of cold wave in China[J].Meteor Mon, 16(12):39-42.DOI:10.7519/j.issn.1000-0526.1990.12.009.<br/>刘传凤, 1990.我国寒潮气候评价[J].气象, 16(12):39-42.
[13]Mu H Z, Xu J L, Ke X X, et al, 2006.Application of high resolution numerical model to wind energy potential assessment[J].J Appl Meteor Sci, 17(2):152-159.DOI:10.3969/j.issn.1001-7313.2006.02.004.<br/>穆海振, 徐家良, 柯晓新, 等, 2006.高分辨率数值模式在风能资源评估中的应用初探[J].应用气象学报, 17(2):152-159.
[14]Mu H Z, Xu J L, Yang Y H, 2008.An application of numerical modeling to Shanghai offshore wind energy resource assessment[J].Plateau Meteor, 27(Suppl):196-202.<br/>穆海振, 徐家良, 杨永辉, 2008.数值模拟在上海海上风能资源评估中的应用[J].高原气象, 27(增刊):196-202.
[15]Pan X M, Zhu X Y, Huang Z Q, et al, 2012.The relation between the strong wind region along one hundred kilometer of railway and the topography in Xinjiang[J].Meteor Mon, 38(2):234-237.<br/>潘新民, 祝学范, 黄智强, 等, 2012.新疆百里风区地形与大风的关系[J].气象, 38(2):234-237.
[16]Tian L, Xu J L, Zhang Y, 2015.Operational security model of truck in complex sections under cross wind[J].Journal of Chang' an University (Natural Science Edition), 35(3):21-26.<br/>田林, 许金良, 张莹, 2015.横风作用下载重汽车在复杂路段运行的安全模型[J].长安大学学报(自然科学版), 35(3):21-26.
[17]Wu C, Fan W K, Han B R, et al, 2015.Simulation analysis of safe speed under the action of crosswind[J].Modern Transportation Technology, 12(6):89-91.<br/>吴诚, 范伟康, 韩宝睿, 等, 2015.横风作用下安全车速的防真分析[J].现代交通技术, 12(6):89-91.
[18]Wang X, Ma P L, Zhang T J, et al, 2012.Research of wind energy resource in Jiuquan region using MM5 and CALMET pattern[J].Plateau Meteor, 31(2):428-435.<br/>王兴, 马鹏里, 张铁军, 等, 2012.MM5模式及CALMET模型对甘肃酒泉地区风能资源的数值模拟[J].高原气象, 31(2):428-435.
[19]Xu J L, Mu H Z, 2009.Numerical simulation and analysis of offshore wind field features in Shang Hai under the influence of typhoon[J].J Trop Meteor, 25(3):281-286.DOI:10.3969/j.issn.1004-4965.2009.03.004.<br/>徐家良, 穆海振, 2009.台风影响下上海近海风场特性的数值模拟分析[J].热带气象学报, 25(3):281-286.
[20]Xu J L, Wang H, Zhao L P, et al, 2014.Research on minimum radius of highway horizontal curve with crosswind considered[J].China Journal of Highway and Transport, 27(1):38-43.DOI:10.3969/j.issn.1001-7372.2014.01.006.<br/>许金良, 王恒, 赵丽苹, 等, 2014.考虑横风作用的公路平曲线最小半径研究[J].中国公路学报, 27(1):38-43.
[21]Xu Y, Chen Z H, Yang H Q, et al, 2013.Comparison of short-term forecast method of wind power in wind farm[J].J Appl Meteor Sci, 2013, 24(5):625-630.DOI:10.3969/j.issn.1001-7313.2013.05.012.<br/>许杨, 陈正洪, 杨宏青, 等, 2013.风电场风电功率短期预报方法比较[J].应用气象学报, 2013, 24(5):625-630.
[22]Xu L, Yao R, Wang X L, et al, 2017.Study of temporal-spatial distribution and variation characteristics of thunderstorm gales in Hunan[J].Plateau Meteor, 36(4):993-1000.DOI:10.7522/j.issn.1000-0534.2016.01.0088.<br/>许霖, 姚蓉, 王晓雷, 等, 2017.湖南省雷暴大风的时空分布和变化特征[J].高原气象, 36(4):993-1000.
[23]Zhang C, Wang D G, Gong Y F, 2015.Dynamic modeling study of highly resolved near-surface wind based on WRF/CALMET[J].Meteor Mon, 41(1):34-44.DOI:10.7519/j.issn.1000-0526.2015.01.004.<br/>张弛, 王东海, 巩远发, 2015.基于WRF/CALMET的近地面精细化风场的动力模拟实验研究[J].气象, 41(1):34-44.
Outlines

/