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山区公路雾天分布特征及相关性研究
作者姓名:李薇  苏宇  王文兵  黄丕昌  彭斌  木玉萍
作者单位:云南省交通规划设计研究院有限公司,云南省交通规划设计研究院有限公司,普洱公路规划勘察设计院有限公司,普洱公路规划勘察设计院有限公司,普洱公路规划勘察设计院有限公司,普洱公路规划勘察设计院有限公司
基金项目:云南省交通运输厅科技计划项目:云交科2016(A)05, 云交科教(2014)231号-2
摘    要:雾是山区常发的天气现象,且具有偶发性和局部性的特征,雾天条件下,能见度降低,为公路行车安全带来一定隐患。该文基于云南普洱山区公路交通气象观测实验基地的观测数据,对2014年5月—2016年10月期间,实验基地所在公路的雾的等级以及时间分布规律进行了分析。通过列联表、条件频率等相关性分析方法,开展了雾天能见度与其他气象要素的相关性研究。通过对列联表的相关性假设显著性分析,降雨强度、风速等气象要素与能见度之间存在相关性;但列联关系V相关系数分析结果表明,其相关程度不高。从条件概率统计来看,在不同的气象要素区间范围内,各等级雾发生的条件概率分布遵循一定的规律。分析雾天能见度的分布规律,及其与其他气象要素之间的相关性,能为雾天条件下公路行车安全预警与控制提供数据支持。

关 键 词:交通气象站,雾、能见度,气象要素相关性  列联表,条件概率
收稿时间:2019/5/10 0:00:00
修稿时间:2019/8/1 0:00:00

Characteristics and Correlation of Fog on Highway of Mountainous Area
Authors:Li Wei  Su Yu  Wang Wenbing  Huang Pichang  Peng Bin and Mu Yuping
Institution:Broadvision Engineering Consultants,Broadvision Engineering Consultants,Puer Highway Planning and Design Co.Ltd,Puer Highway Planning and Design Co.Ltd,Puer Highway Planning and Design Co.Ltd,Puer Highway Planning and Design Co.Ltd
Abstract:Fog is one of the inclement weather which happens often in mountainous area. Fog would bring safety problems for highway traffic. Based on the road weather station established in a mountainous highway in Puer, the research aims at analyzing the characteristics of fog distribution. Using the methods of contingence table and conditional probability, the paper studies the correlation between fog and other weather factors. The result shows that there is high probability that the rainfall, wind velocity and other factors has correlation with the fog. However, the correlation is not too tight according to the V-correlation analysis. As the result of conditional probability, among the various level of weather factors, the probability of fog follows the rules. The research may help the road manager to know the fog characteristics around the road and make decision to apply traffic management in the fog-intensive seasons.
Keywords:Road Weather Station  Visibility  Correlation of Weather Criteria  Contingence table  Conditional Probability
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