|本期目录/Table of Contents|

[1]张续光,高静如,高建平.高速公路雾形成预测研究[J].中国安全生产科学技术,2015,11(1):173-179.[doi:10.11731/j.issn.1673-193x.2015.01.029]
 ZHANG Xu-guang,GAO Jing-ru,GAO Jian-ping.Study on fog formation prediction of highway[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2015,11(1):173-179.[doi:10.11731/j.issn.1673-193x.2015.01.029]
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高速公路雾形成预测研究
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
11
期数:
2015年1期
页码:
173-179
栏目:
职业安全卫生管理与技术
出版日期:
2015-01-30

文章信息/Info

Title:
Study on fog formation prediction of highway
作者:
张续光1高静如2高建平1
(1.重庆交通大学 土木建筑学院,重庆400074; 2.同济大学 交通运输学院,上海201800)
Author(s):
ZHANG Xu-guang1 GAO Jing-ru2 GAO Jian-ping1
(1.School of Civil Engineering & Architecture, Chongqing Jiaotong University, Chongqing 400074, China; 2.School of Transportation Engineering, Tongji University, Shanghai 201800, China)
关键词:
交通工程高速公路雾天预测
Keywords:
traffic engineering highway foggy weather prediction
分类号:
X951
DOI:
10.11731/j.issn.1673-193x.2015.01.029
文献标志码:
A
摘要:
雾对高速公路交通运行及行车安全有重要影响,掌握雾天出现的天气特征,有利于提高高速公路雾天管理的有效性和针对性。以重庆高速公路2009~2011年两个雾季的交通数据和天气数据为依据,在分析雾天能见度对高速公路交通影响的基础上,确定影响交通的雾天能见度阈值为600m。对雾天形成气象条件的时间演变进行的主成分分析与相关性分析表明,最大湿度和昼夜温差对雾的形成有决定性影响,其中相对湿度的对起雾的影响大于昼夜温差影响,将相对湿度大于95%作为起雾的关键因素。建立了雾天出现的预测模型,为高速公路雾天管理提供依据。
Abstract:
has a significant impact on traffic operation and safety of highway, and mastering the weather characteristics of foggy weather is a key issue for improving the effectiveness and pertinence of foggy weather management in higheway. According to the traffic data and weather data of highways in Chongqing from 2009 to 2011 fog season, and based on the analysis of influence to highway traffic by fog visibility, the threshold of fog visibility influencing the traffic was determined to be 600 m. By the principal component analysis and correlation analysis on the temporal evolution of meteorological conditions in foggy weather formation, it showed that the maximum humidity and temperature difference between day and night have a decisive impact on the formation of fog, and the influence of relative humidity to the formation of fog is larger than that of temperature difference between day and night. The key factor of fog formation is the relative humidity being larger than 95%. A prediction model of fog weather formation was established, which can provide basis for the fog weather management of highway.

参考文献/References:

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备注/Memo

备注/Memo:
国家自然科学基金项目(51378520);教育部高等学科博士学科点专项科研基金(20125522110001)
更新日期/Last Update: 2015-02-03