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    Citas

    Título
    Flood analysis supported by low‐cost geometric modelling
    Autor(es)
    Zazo del Dedo, SantiagoAutoridad USAL ORCID
    Rodríguez Gonzálvez, Pablo
    Molina González, José LuisAutoridad USAL ORCID
    Hernández López, David
    González Aguilera, DiegoAutoridad USAL ORCID
    Palabras clave
    Flood analysis
    River geomorphology
    Fluvial hydraulic
    DEM accuracy
    Structure from motion (SfM)
    Digital photogrammetry on-demand (DPod)
    Fecha de publicación
    2016-10-27
    Editor
    Wiley
    Citación
    Zazo, S., Rodríguez-Gonzálvez, P., Molina, J.L., Hernández-López, D. & González-Aguilera, D. (2017) Flood Analysis Supported by Low-cost Geometric Modelling. River Research and Applications, 33: 620–631. https://doi.org/10.1002/rra.3113
    Resumen
    [EN] Today, it is increasingly clear that non-stationarity hydrological and hydraulic variables and processes are occurring largely because of global warming. Accordingly, extreme hydrological events are becoming more common over time, and their effects are creating greater negative impacts on the environment (fluvial geomorphology and floodplains) and society (flood damage). Given this situation, the implementation of adaptation-mitigation measures is vital, as well as an increased knowledge of the interaction between water and physical environments. In the binominal water-terrain, having a reliable digital elevation model (DEM) is essential because of its important influence on fluvial modelling. However, this is frequently a technical-economic problem. The aim of this paper is first to evaluate the compatibility between hydraulics and geometrics for fluvial applications and second to determine the quality of a novel DEM by robust estimators. This was obtained through the photogrammetric processing of digital aerial images acquired from a low-cost camera mounted on an alternative aerial platform. Flood modelling and hydraulic parameters were obtained with the assistance of photogrammetric DEM (mesh size: 0.15 m, vertical accuracy: 0.102±0.081 m, point density: ≈40 point/m2). Finally, our other goal is to develop a comparative analysis between light detection and ranging and digital photogrammetry on-demand. This comparison revealed that flood modelling by photogrammetric DEM was considerably more detailed than that by light detection and ranging-DEM, mainly because of higher point density and vertical accuracy. Consequently, flood analysis assisted by this novel geometric modelling approach qualifies as a reliable and competitive approach.
    URI
    https://hdl.handle.net/10366/162127
    ISSN
    1535-1467
    DOI
    10.1002/rra.3113
    Versión del editor
    https://doi.org/10.1002/rra.3113
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