IMIS

Publications | Institutes | Persons | Datasets | Projects | Maps
[ report an error in this record ]basket (1): add | show Print this page

one publication added to basket [290388]
Spatial and numerical methodologies on coastal erosion and flooding risk assessment
Bonetti, J.; da Fontoura Klein, A.H.; Muler, M.; Brelinger de Luca, C.; Vieira da Silva, G.; Toldo Jr., E.E.; González, M. (2013). Spatial and numerical methodologies on coastal erosion and flooding risk assessment, in: Finkl, C.W. (Ed.) Coastal hazards. Coastal Research Library, 6: pp. 423-442. https://dx.doi.org/10.1007/978-94-007-5234-4_16
In: Finkl, C.W. (Ed.) (2013). Coastal hazards. Coastal Research Library, 6. Springer: Dordrecht. ISBN 978-94-007-5234-4. xxi, 840 pp. https://dx.doi.org/10.1007/978-94-007-5234-4, more
In: Coastal Research Library. Springer: Cham. ISSN 2211-0577; e-ISSN 2211-0585, more

Available in  Authors 

Keyword
    Marine/Coastal

Authors  Top 
  • Bonetti, J.
  • da Fontoura Klein, A.H.
  • Muler, M.
  • Brelinger de Luca, C.
  • Vieira da Silva, G.
  • Toldo Jr., E.E.
  • González, M.

Abstract
    In the last decades the combination of an increasing human occupation along the coast combined with an anticipated intensification in the frequency of meteorological extreme events stimulated the development of different methodological alternatives to assess and predict coastal risk. Conceptually, a global risk analysis may involve susceptibility and vulnerability, in both temporal and spatial scales, with the goal of identifying critical hazard areas. In this work, two different analytical approaches are presented within the perspective of their future integration: spatial analysis based on Geographic Information Systems and numerical modeling. In the first approach, individual information layers associated with various themes (e.g. backshore landforms, backshore altitude, shoreline displacement, shoreline exposure to wave incidence and man-made structures at risk) were integrated and allowed the development of a numerical index of coastal vulnerability. In order to define inundation levels, a wave run-up study integrated numerical modeling and in situ measurements, allowing the recognition of sensible variations along an embayed beach. Finally, an erosional hot spot area was investigated by calculating longshore sediment transport rates. For this, a numerical model of wave propagation defined the coastal wave climate and the average sediment budget was determined in the surf zone. The three case studies of beaches with historical sensibility to erosion and storm surge flooding presented a very good correlation with reality.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors