Articles | Volume 22, issue 10
https://doi.org/10.5194/nhess-22-3435-2022
https://doi.org/10.5194/nhess-22-3435-2022
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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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.
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