Journal of Arid Meteorology

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Estimate on the Effect of Vehicle Heat Source on Road Surface Temperature in Winter

LI Naijie, LI Xun, DONG Yan   

  1. Beijing Meteorological Service Center, Beijing 100089, China
  • Online:2017-08-31 Published:2017-08-31

冬季车辆热源对道面温度影响的估算

李乃杰李迅董颜   

  1. 北京市气象服务中心,北京100089
  • 作者简介:李乃杰(1986—),男,瑶族,硕士,主要从事交通气象研究和服务.E-mail:li.naijie@qq.com
  • 基金资助:

    北京市自然科学基金(8174083)和北京市科技计划课题(Z151100002115040、Z151100002115045)共同资助

Abstract:

Snow and road freezing have an important influence on road use and traffic safety operation. Therefore, to improve the forecast ability of road surface temperature (RST) in winter has become the business needs. Because of car parc and heavy traffic in Beijing, the vehicles travelling on the road have a big impact on RST. In order to estimate the effects of vehicles on RST and improve the simulation ability to RST in winter, the parameterization scheme of vehicle heat source was established based on considering the radiation, friction and heat convection factors, firstly. Then, the effect of vehicle heat source on RST was estimated, and on this basis RST in Wuyuan bridge of Beijing was simulated by CLM-road model. Results are as follows:(1) At night and during rush hours, the vehicle heat source was mainly affected by radiation and friction factors which played significant roles in heating on road surface, and there were two peaks with 65 W·m-2 or above. At noon, the vehicle radiation, friction and thermal convection factors played cooling role on road surface, and the effect of thermal convection factor was more obvious. (2) Under the scenarios of only considering the meteorological elements, the low values of simulated RST were lower and the high values of simulated RST in winter in Wuyuan bridge of Beijing were higher compared with the observation, which indicated that there were some systematic errors in model simulation of RST, and the error of daily minimum RST between the simulation and observation was 5 ℃. (3) After the increase of the influence of vehicle heat source, the simulated RST eliminated the systematic error, and the effect of simulation had been greatly improved. CLM-road model with vehicle heat source would possess a certain reference value to snow disaster forecast in winter.

Key words: CLM-road model, road surface temperature, vehicle heat source, parameterization scheme

摘要:

为了估算冬季车辆对道面温度的影响和提高对道面温度的模拟能力,建立了冬季车辆热源影响参数化方案,估算车辆热源对道面温度的影响,并引入CLM-road道面温度模型对北京市五元桥的道面温度进行模拟。结果表明:(1)在夜间和上下班高峰,辐射、摩擦因子对道面起明显加热作用,且存在2个加热峰值;中午时段,辐射、摩擦因子和热对流因子共同对道面起降温作用,且后者作用更明显。(2)只考虑气象要素情景下,冬季道面温度的模拟结果存在低温偏低而高温偏高的系统性误差,最低道面温度与实测值偏差较大。(3)增加了车辆热源影响后,模拟的冬季道面温度消除了系统性的误差问题,模拟效果有显著提高,在冬季道路结冰和积雪灾害预报中有一定参考价值。

关键词: CLM-road模型, 道面温度, 车辆热源, 参数化方案

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