Comparative Analysis of Global DEMs for Dam-Break Flood Modeling and Inundation Mapping

Abstract The accuracy of flood hazard mapping in dam-break modeling depends strongly on the quality of the Digital Elevation Model (DEM). This study evaluates six open-access global DEMs (SRTM, ALOS PALSAR, AW3D30, COPERNICUS, FABDEM, and ANADEM) in dam-break simulations for two Brazilian dams (Negreiros and Copiti), using HEC-RAS 2D and high-resolution LiDAR as reference. Four aspects were analyzed: (1) elevation accuracy; (2) flood wave propagation, including peak discharge and time-to-peak; (3) inundation extent, with over- and underestimation indices; and (4) hydrodynamic risk. Results show that AW3D30 consistently produced flood propagation, extent, and risk estimates that are closest to those from LiDAR. In contrast, SRTM and PALSAR systematically underestimated inundation areas, whereas FABDEM and ANADEM tended to overestimate, resulting in conservative risk scenarios. COPERNICUS and FABDEM achieved the highest altimetric accuracy but only moderate hydraulic performance. Across case studies, dam size, geomorphology, and distance downstream significantly affected DEM reliability, with mismatches becoming more pronounced the further downstream. The findings highlight the influence of DEM choice on flood modeling and guide dam-break risk assessment in semi-arid and data-scarce regions, where high-resolution DEMs are often unavailable.

Authors

Institutions

Publication Details

Journal
Water Resources Management
Published
2026-02-01
DOI
https://doi.org/10.1007/s11269-025-04427-9
Primary Topic
Dam Engineering and Safety
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative Analysis of Global DEMs for Dam-Break Flood Modeling and Inundation Mapping

Othon Fialho de Oliveira, Sérgio Ricardo Toledo Salgado, Elsa Maria da Silva Carvalho, Maria Teresa Viseu
Water Resources Management
Dam Engineering and Safety
article

Comparative Analysis of Global DEMs for Dam-Break Flood Modeling and Inundation Mapping

Othon Fialho de Oliveira, Sérgio Ricardo Toledo Salgado, Elsa Maria da Silva Carvalho, Maria Teresa Viseu
article en

Abstract

Abstract The accuracy of flood hazard mapping in dam-break modeling depends strongly on the quality of the Digital Elevation Model (DEM). This study evaluates six open-access global DEMs (SRTM, ALOS PALSAR, AW3D30, COPERNICUS, FABDEM, and ANADEM) in dam-break simulations for two Brazilian dams (Negreiros and Copiti), using HEC-RAS 2D and high-resolution LiDAR as reference. Four aspects were analyzed: (1) elevation accuracy; (2) flood wave propagation, including peak discharge and time-to-peak; (3) inundation extent, with over- and underestimation indices; and (4) hydrodynamic risk. Results show that AW3D30 consistently produced flood propagation, extent, and risk estimates that are closest to those from LiDAR. In contrast, SRTM and PALSAR systematically underestimated inundation areas, whereas FABDEM and ANADEM tended to overestimate, resulting in conservative risk scenarios. COPERNICUS and FABDEM achieved the highest altimetric accuracy but only moderate hydraulic performance. Across case studies, dam size, geomorphology, and distance downstream significantly affected DEM reliability, with mismatches becoming more pronounced the further downstream. The findings highlight the influence of DEM choice on flood modeling and guide dam-break risk assessment in semi-arid and data-scarce regions, where high-resolution DEMs are often unavailable.

Water Resources ManagementVol. 40(3)
Universidade do Porto (PT), National Water Agency (BR), Centro Interdisciplinar de Investigação Marinha e Ambiental, National Laboratory for Civil Engineering (PT)
Universidade do Porto, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 68%
Dam Engineering and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Comparative Analysis of Global DEMs for Dam-Break Flood Modeling and Inundation Mapping — Othon Fialho de Oliveira, Sérgio Ricardo Toledo Salgado, et al. · Water Resources Management (2026) | TGRS Research Map | TGRS