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http://dx.doi.org/10.11108/kagis.2020.23.4.156

Predicting Road Surface Temperature using Solar Radiation Data from SOLWEIG(SOlar and LongWave Environmental Irradiance Geometry-model): Focused on Naebu Expressway in Seoul  

AHN, Suk-Hee (Hankuk University of Forein Studies)
KWON, Hyuk-Gi (Hankuk University of Forein Studies)
YANG, Ho-Jin (Hankuk University of Forein Studies)
LEE, Geun-Hee (Hankuk University of Forein Studies)
YI, Chae-Yeon (Hankuk University of Forein Studies)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.23, no.4, 2020 , pp. 156-172 More about this Journal
Abstract
The purpose of this study was to predict road surface temperature using high-resolution solar radiation data. The road surface temperature prediction model (RSTPM) was applied to predict road surface temperature; this model was developed based on the heat-balance method. In addition, using SOLWEIG (SOlar and LongWave Environmental Irradiance Geometry-model), the shadow patterns caused by the terrain effects were analyzed, and high-resolution solar radiation data with 10 m spatial resolution were calculated. To increase the accuracy of the shadow patterns and solar radiation, the day that was modeled had minimal effects from fog, clouds, and precipitation. As a result, shadow areas lasted for a long time at the entrance and exit of a tunnel, and in a high-altitude area. Furthermore, solar radiation clearly decreased in areas affected by shadows, which was reflected in the predicted road surface temperatures. It was confirmed that the road surface temperature should be high at topographically open points and relatively low at higher altitude points. The results of this study could be used to forecast the freezing of sections of road surfaces in winter, and to inform decision making by road managers and drivers.
Keywords
Local Climate; Naebu Expressway; Road surface temperature; Shadow Pattern; Solar Radiation;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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