Preprints
https://doi.org/10.5194/egusphere-2023-1205
https://doi.org/10.5194/egusphere-2023-1205
10 Jul 2023
 | 10 Jul 2023

Effects of High-Quality Elevation Data and Explanatory Variables on the Accuracy of Flood Inundation Mapping via Height Above Nearest Drainage

Fernando Aristizabal, Taher Chegini, Gregory Petrochenkov, Fernando Renzo Salas, and Jasmeet Judge

Abstract. Given the availability of high quality and high spatial resolution digital elevation models (DEMs) from the United States Geological Survey’s 3-Dimensional Elevation Program (3DEP) derived from mostly Light Detection and Ranging sensors, we examined the effects of these DEMs at various spatial resolutions on the quality of flood inundation map (FIM) extents derived from a terrain index known as Height Above Nearest Drainage (HAND). We found that using these DEMs improved the quality of resulting FIMs at around 80 % of the catchments analyzed when compared to using DEMs from the National Hydrography Dataset Plus High Resolution program. Additionally, we varied the spatial resolution of the 3DEP DEMs from 3, 5, 10, 15, and 20 meters and the results showed no significant overall effect on FIM extent quality across resolutions. However, our experiments demonstrated a significant burden on the computational time to produce HAND. We fit a multiple linear regression model to help explain catchment scale variation in the four metrics employed and found that the lack of reservoir flooding, or inundation upstream of river retention systems, was a significant factor in our analysis. For validation, we used Interagency Flood Risk Management Base Level Engineering produced FIM extents and streamflows at the 100 and 500 year event magnitudes in a sub-region in Eastern Texas.

Fernando Aristizabal, Taher Chegini, Gregory Petrochenkov, Fernando Renzo Salas, and Jasmeet Judge

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1205', Anonymous Referee #1, 25 Jul 2023
    • AC1: 'Reply on RC1', Fernando Aristizabal, 06 Nov 2023
  • RC2: 'Comment on egusphere-2023-1205', Anonymous Referee #2, 07 Aug 2023
    • AC2: 'Reply on RC2', Fernando Aristizabal, 06 Nov 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1205', Anonymous Referee #1, 25 Jul 2023
    • AC1: 'Reply on RC1', Fernando Aristizabal, 06 Nov 2023
  • RC2: 'Comment on egusphere-2023-1205', Anonymous Referee #2, 07 Aug 2023
    • AC2: 'Reply on RC2', Fernando Aristizabal, 06 Nov 2023
Fernando Aristizabal, Taher Chegini, Gregory Petrochenkov, Fernando Renzo Salas, and Jasmeet Judge

Data sets

noaa-nws-owp-fim/hand_fim Aristizabal et al https://doi.org/10.4211/hs.3d98a9e5a6d84020b72800fd27c87f9a

Model code and software

NOAA-OWP/inundation-mapping Aristizabal et al https://github.com/NOAA-OWP/inundation-mapping

Fernando Aristizabal, Taher Chegini, Gregory Petrochenkov, Fernando Renzo Salas, and Jasmeet Judge

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Short summary
Floods are significant natural disaster affecting people and property. This study uses a simplified terrain index and the latest LiDAR-derived digital elevation maps (DEMs) to investigate flood inundation extent quality. We examined inundation quality influenced by different spatial resolutions and by other variables. Results showed LiDAR DEMs enhance inundation quality, but their resolution is less impactful in our context. Further studies on reservoirs and urban flooding are motivated.