京滬高鐵沿線風場非平穩(wěn)特性分析：以江蘇段為例

doi:10.12306/2023jms.0051

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京滬高鐵沿線風場非平穩(wěn)特性分析：以江蘇段為例
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                        10.12306/2023jms.0051
                    
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中圖分類號:P425.6
基金項目:國家自然科學基金資助項目(42275156);國家自然科學基金青年科學資助項目(42205150);江蘇省自然科學青年基金資助項目(BK20210661)

Analysis of non-stationary characteristics of wind field along the Beijing-Shanghai high-speed railway line: Taking Jiangsu section as an example

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摘要:

大風是影響高鐵行車安全的主要氣象因素之一，高鐵對局地瞬時風速敏感，本文研究其沿線風環(huán)境特性，揭示風速變化特征，為沿線大風預測預警提供理論支撐。選取京滬高鐵江蘇段4個典型區(qū)域氣象站風速監(jiān)測數(shù)據(jù)，運用統(tǒng)計學方法和非線性系統(tǒng)理論研究不同時距下的風特性。揭示了沿線風場特性變化規(guī)律，研究結果表明：脈動風速波動幅度隨時距增大間歇增大，間歇點出現(xiàn)在5 min時距；脈動強度與平均風速之間呈正相關變化，這種變化關系隨時距增大愈發(fā)明顯；陣風因子和湍流強度具有明顯局地差異性，都隨平均風速的增大而減小，近似呈現(xiàn)冪函數(shù)衰減變化規(guī)律；不同時距風速的概率分布特性存在很小的差異，局地差異性顯著；不同時距風速的最大李亞普諾夫指數(shù)均為正，均具有可預測性，且可預測性隨時距的增大而減弱。在進行沿線風速預測建模時，選取20 s、30 s、1 min、2 min、5 min、10 min時距的風速理論上可以取得較為準確的預測結果。

Abstract:

Strong wind is one of the main meteorological factors affecting the safety of high-speed rail. High speed railway is sensitive to local instantaneous wind speeds， and study the characteristics of the wind environment along the line to reveal the characteristics of wind speed changes， providing theoretical support for the prediction and early warning of strong winds along the line. Select the wind speed monitoring data of four typical regional meteorological stations in Jiangsu section of the Beijing-Shanghai high-speed railway， and use statistical methods and nonlinear system theory to study wind characteristics at different time intervals. The study revealed the variation pattern of wind field characteristics along the line， and the results showed that the fluctuation amplitude of fluctuating wind speed increases intermittently at any time interval， with intermittency occurring at a time interval of 5 minutes. There is a positive correlation between the intensity of pulsation and the average wind speed， and this relationship becomes increasingly evident as the distance increases. The gust factor and turbulence intensity have obvious local differences， both of which decrease with the increase of the average wind speed， and approximately present a law of power function attenuation. There are small differences in the probability distribution characteristics of wind speed at different time intervals， and the local differences are significant. The maximum Lyapunov exponents of wind speeds at different time intervals are all positive and predictable， and the predictability decreases with the increase of distance. When carrying out wind speed prediction modeling along the line， selecting wind speeds with time intervals of 20 s， 30 s， 1 min， 2 min， 5 min， and 10 min can theoretically obtain more accurate prediction results.

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葉小嶺,張永勝,陳昕,張穎超,熊雄.京滬高鐵沿線風場非平穩(wěn)特性分析：以江蘇段為例.氣象科學,2025,45(4):592-602 YE Xiaoling, ZHANG Yongsheng, CHEN Xin, ZHANG Yingchao, XIONG Xiong. Analysis of non-stationary characteristics of wind field along the Beijing-Shanghai high-speed railway line: Taking Jiangsu section as an example. Journal of the Meteorological Sciences,2025,45(4):592-602

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收稿日期:2023-04-26
最后修改日期:2023-07-18
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在線發(fā)布日期: 2025-11-29
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