• Title of article

    Study of wave runup using numerical models and low-altitude aerial photogrammetry: A tool for coastal management

  • Author/Authors

    Casella، نويسنده , , Elisa and Rovere، نويسنده , , Alessio and Pedroncini، نويسنده , , Andrea and Mucerino، نويسنده , , Luigi and Casella، نويسنده , , Marco and Cusati، نويسنده , , Luis Alberto and Vacchi، نويسنده , , Matteo and Ferrari، نويسنده , , Marco and Firpo، نويسنده , , Marco، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    8
  • From page
    160
  • To page
    167
  • Abstract
    Monitoring the impact of sea storms on coastal areas is fundamental to study beach evolution and the vulnerability of low-lying coasts to erosion and flooding. Modelling wave runup on a beach is possible, but it requires accurate topographic data and model tuning, that can be done comparing observed and modeled runup. In this study we collected aerial photos using an Unmanned Aerial Vehicle after two different swells on the same study area. We merged the point cloud obtained with photogrammetry with multibeam data, in order to obtain a complete beach topography. Then, on each set of rectified and georeferenced UAV orthophotos, we identified the maximum wave runup for both events recognizing the wet area left by the waves. We then used our topography and numerical models to simulate the wave runup and compare the model results to observed values during the two events. Our results highlight the potential of the methodology presented, which integrates UAV platforms, photogrammetry and Geographic Information Systems to provide faster and cheaper information on beach topography and geomorphology compared with traditional techniques without losing in accuracy. We use the results obtained from this technique as a topographic base for a model that calculates runup for the two swells. The observed and modeled runups are consistent, and open new directions for future research.
  • Keywords
    beach monitoring , Mike21 , CSHORE , UAV , Runup , Drone
  • Journal title
    Estuarine, Coastal and Shelf Science
  • Serial Year
    2014
  • Journal title
    Estuarine, Coastal and Shelf Science
  • Record number

    1946344