Articles | Volume 22, issue 10
Research article
20 Oct 2022
Research article |  | 20 Oct 2022

Development of black ice prediction model using GIS-based multi-sensor model validation

Seok Bum Hong, Hong Sik Yun, Sang Guk Yum, Seung Yeop Ryu, In Seong Jeong, and Jisung Kim

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Cited articles

Ali, S., Biermanns, P., Haider, R., and Reicherter, K.: Landslide susceptibility mapping by using a geographic information system (GIS) along the China–Pakistan Economic Corridor (Karakoram Highway), Pakistan, Nat. Hazards Earth Syst. Sci., 19, 999–1022,, 2019. 
An, J. S. and Choi, S. W.: The role of winter weather in the population dynamics of spring moths in the southwest Korean peninsula, J. Asia-Pac. Entomol., 16, 49–53,, 2013. 
Bardou, E. and Delaloye, R.: Effects of ground freezing and snow avalanche deposits on debris flows in alpine environments, Nat. Hazards Earth Syst. Sci., 4, 519–530,, 2004. 
Bezrukova, N., Stulov, E., and Khalili, M.: A model for road icing forecast and control, in: Proc. SIRWEC (conference), 25–27 March 2006, Turin, Italy, 50–57, ID 234368645, 2006. 
Bonanno, R., Loglisci, N., Cavalletto, S., and Cassardo, C.: Analysis of Different Freezing/Thawing Parameterizations using the UTOPIA Model, Water, 2, 468–483, 2010. 
Short summary
This study advances previous models through machine learning and multi-sensor-verified results. Using spatial and meteorological data from the study area (Suncheon–Wanju Highway in Gurye-gun), the amount and location of black ice were modelled based on system dynamics to predict black ice and then simulated with the geographic information system (m2). Based on the model results, multiple sensors were buried at four selected points in the study area, and the model was compared with sensor data.
Final-revised paper