Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 22, issue 10
Articles | Volume 22, issue 10
https://doi.org/10.5194/nhess-22-3435-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-3435-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
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

Viewed

Total article views: 3,627 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,681 860 86 3,627 83 113
  • HTML: 2,681
  • PDF: 860
  • XML: 86
  • Total: 3,627
  • BibTeX: 83
  • EndNote: 113
Views and downloads (calculated since 13 Jun 2022)
Cumulative views and downloads (calculated since 13 Jun 2022)

Viewed (geographical distribution)

Total article views: 3,627 (including HTML, PDF, and XML) Thereof 3,516 with geography defined and 111 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 27 Dec 2025
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint