Improving a DSM Obtained by Unmanned Aerial Vehicles for Flood Modelling

World Multidisciplinary Earth Sciences Symposium 2017

Mourato, Sandra^1,5 ; Fernandez, Paulo^2,5 ; Pereira, Luisa^3,6 ; Moreira, Madalena^4,5

School of Technology and Management, Polytechnic Institute of Leiria, Morro do Lena - Alto do Vieiro, Apartado 4163, Leiria

2411-901, Portugal^1

Polytechnic Institute of Castelo Branco, Quinta da Senhora de Mércules, Apartado 119, Castelo Branco

6001-909, Portugal^2

ESTGA, Universidade de Aveiro, Rua Comandante Pinho e Freitas, n° 28, Agueda

3750-127, Portugal^3

Universidade de Evora - Escola de Ciencias e Tecnologia, Pólo da Mitra, Evora

7006-554, Portugal^4

ICAAM-Instituto de Ciencias Agrárias e Ambientais Mediterranicas, Universidade de Evora, Evora

7006-554, Portugal^5

Centro de Investigaao em Ciencias Geo-Espaciais, Universidade Do Porto, Porto, Portugal^6

关键词: Computational performance;    Digital surface models;    Digital surfaces;    Flood characteristics;    Flood hazard maps;    Hydrometric stations;    Spatial data processing;    Terrain surfaces;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/95/2/022014/pdf
DOI  :  10.1088/1755-1315/95/2/022014

来源: IOP

【 摘 要 】

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.