Articles | Volume 22, issue 10
Nat. Hazards Earth Syst. Sci., 22, 3435–3459, 2022
https://doi.org/10.5194/nhess-22-3435-2022
Nat. Hazards Earth Syst. Sci., 22, 3435–3459, 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 et al.

Viewed

Total article views: 1,106 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
860 219 27 1,106 3 2
  • HTML: 860
  • PDF: 219
  • XML: 27
  • Total: 1,106
  • BibTeX: 3
  • EndNote: 2
Views and downloads (calculated since 13 Jun 2022)
Cumulative views and downloads (calculated since 13 Jun 2022)

Viewed (geographical distribution)

Total article views: 1,106 (including HTML, PDF, and XML) Thereof 1,062 with geography defined and 44 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 30 Jan 2023
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.
Altmetrics
Final-revised paper
Preprint