Search
Abstract
The paper presents the analysis of road weather data from meteorological stations located at the Polish national roads of Pomerania District during the impact of winter conditions. Presented issue is particularly important from the point of view the problem of winter maintenance and especially for prediction and assurance of quality of asphalt pavement surface ie. resistance to low temperature cracking or risk of glazed frost. The objective of the paper is to define and determine crucial parameters of the weather and pavement conditions during winter season to reveal what are the differences in request for winter maintenance of pavements in (1) particular roads and (2) following winter months and years. To fulfil the objective of the paper data from 12 weather stations located in Pomeranian District of Poland and period of measurements from 2009 to 2016 were analysed. It was developed parameters: Wglaze, Wice and Wsnow to assess the percentage of time with the risk of occurrence of glaze frost, black ice and icy or compacted snow. The risk of low-temperature cracking was also analyzed. It was found that the risk of winter skid can reach very high level of 91% and in average in most severe winter month it equals from 35% to 71%. The main sources of winter skid in Pomerania are glaze frost and black ice. It was also confirmed that road no. 20 is the most exposed to low-temperature cracking and has the highest risk of winter skid.
Authors (3)
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- XVth International Winter Road Congress, AIPCR - PIARC strony 1 - 16
- Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Ryś D., Pszczoła M., Jaskuła P.: Evaluation and application of data from road weather stations for winter maintenance management// XVth International Winter Road Congress, AIPCR - PIARC/ : , 2018, s.1-16
- Verified by:
- Gdańsk University of Technology
seen 139 times
Recommended for you
Risk factor assessment in agricultural supply chain by fuzzy logic
- D. Muzylyov,
- I. Medvediev,
- O. Pavlenko