Paper
23 November 2022 Analysis on the distribution characteristics of climate in Jiangsu Province and method of pavement temperature design parameters
Yong Lu, YaLi Li, AiHua Liu, RongJi Cao
Author Affiliations +
Proceedings Volume 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022); 1230237 (2022) https://doi.org/10.1117/12.2645467
Event: Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 2022, Guangzhou, China
Abstract
Based on the meteorological observation data of 70 reference meteorological observatories in Jiangsu Province, using the method of meteorological inclination and zoning, the law of change and spatial distribution of extreme temperature in our province in the past 40 years are analyzed. Based on the distribution of extreme high temperature and extreme low temperature, combined with the temperature data of meteorological reference stations in recent 10 years, the meteorological distribution in Jiangsu Province was preliminarily divided into regions. At the same time, the design of asphalt pavement is further calculated. Based on the reference equivalent temperature, combined with the calculation of the permanent deformation of the typical road structure in our province, it is proposed that the road temperature design parameters should be calculated based on the temperature parameters of more than 70 meteorological reference stations in the province, or perform structural verification based on the benchmark equivalent temperature of the three regions in the province.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yong Lu, YaLi Li, AiHua Liu, and RongJi Cao "Analysis on the distribution characteristics of climate in Jiangsu Province and method of pavement temperature design parameters", Proc. SPIE 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 1230237 (23 November 2022); https://doi.org/10.1117/12.2645467
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KEYWORDS
Temperature metrology

Meteorology

Climatology

Roads

Climate change

Environmental sensing

Statistical analysis

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