Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/22759

Title: Improving a DSM Obtained by Unmanned Aerial Vehicles for Flood Modelling
Authors: Mourato, Sandra
Fernandez, Paulo
Pereira, Luísa
Moreira, Madalena
Editors: IOP Publishing
Keywords: HEC-RAS
Flood Hazard Maps
Hydraulic modelling
Digital Surface Runoff Model
RGB
UAV
Issue Date: 2017
Publisher: IOP Publishing Ltd
Citation: Mourato, S., Fernandez, P., Pereira, L., & Moreira, M. (2017). Improving a DSM Obtained by Unmanned Aerial Vehicles for Flood Modelling. IOP Conference Series: Earth and Environmental Science, 95, 022014.
Abstract: According to the EU flood risks directive, flood hazard map must be used to assess the flood risk. These maps can be developed with hydraulic modelling tools using a Digital Surface Runoff Model (DSRM). During the last decade, important evolutions of the spatial data processing has been developed which will certainly improve the hydraulic models results. Currently, images acquired with Red/Green/Blue (RGB) camera transported by Unmanned Aerial Vehicles (UAV) are seen as a good alternative data sources to represent the terrain surface with a high level of resolution and precision. The question is if the digital surface model obtain with this data is adequate enough for a good representation of the hydraulics flood characteristics. For this purpose, the hydraulic model HEC-RAS was run with 4 different DSRM for an 8.5 km reach of the Lis River in Portugal. The computational performance of the 4 modelling implementations is evaluated. Two hydrometric stations water level records were used as boundary conditions of the hydraulic model. The records from a third hydrometric station were used to validate the optimal DSRM. The HEC-RAS results had the best performance during the validation step were the ones where the DSRM with integration of the two altimetry data sources.
URI: http://iopscience.iop.org/article/10.1088/1755-1315/95/2/022014/meta
http://hdl.handle.net/10174/22759
Type: article
Appears in Collections:ICAAM - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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