Articles | Volume 22, issue 4
https://doi.org/10.5194/nhess-22-1419-2022
https://doi.org/10.5194/nhess-22-1419-2022
Research article
 | 
21 Apr 2022
Research article |  | 21 Apr 2022

Real-time coastal flood hazard assessment using DEM-based hydrogeomorphic classifiers

Keighobad Jafarzadegan, David F. Muñoz, Hamed Moftakhari, Joseph L. Gutenson, Gaurav Savant, and Hamid Moradkhani

Viewed

Total article views: 2,828 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,989 765 74 2,828 167 49 48
  • HTML: 1,989
  • PDF: 765
  • XML: 74
  • Total: 2,828
  • Supplement: 167
  • BibTeX: 49
  • EndNote: 48
Views and downloads (calculated since 09 Dec 2021)
Cumulative views and downloads (calculated since 09 Dec 2021)

Viewed (geographical distribution)

Total article views: 2,828 (including HTML, PDF, and XML) Thereof 2,684 with geography defined and 144 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 07 Nov 2024
Download
Short summary
The high population settled in coastal regions and the potential damage imposed by coastal floods highlight the need for improving coastal flood hazard assessment techniques. This study introduces a topography-based approach for rapid estimation of flood hazard areas in the Savannah River delta. Our validation results demonstrate that, besides the high efficiency of the proposed approach, the estimated areas accurately overlap with reference flood maps.
Altmetrics
Final-revised paper
Preprint