4.7 Article

How good are symmetric triangular synthetic storms to represent real events for coastal hazard modelling

期刊

COASTAL ENGINEERING
卷 159, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.coastaleng.2020.103728

关键词

Coastal storms; Mediterranean sandy beaches; XBeach; Flooding; Erosion; Numeric model uncertainty

资金

  1. Department of Physics and Earth Science of the University of Ferrara
  2. contribution 5 per mille assegnato all'Universit.a di Ferrara -dichiarazione dei redditi dell'anno 2013 through the Bando Giovani Ricercatori 2016 of the University of Ferrara
  3. EU H2020 ANYWHERE project [GA 700099]
  4. MINECO/AEI/FEDER, UE [CTM2017-83655-C2-1-R]
  5. Spanish Ministry of Education, Culture and Sport

向作者/读者索取更多资源

Coastal risk assessments rely on proper quantification of storm-induced erosion and flooding, and often involve calculations via numerical models. When the real time-series data of a storm are not available as forcing conditions and only bulk information is accessible, synthetic simplified time-evolutions are assumed. The most common approach in coastal studies uses a symmetric triangular storm shape, characterised by the assumptions that the peak of the waves occurs in the middle of the storm, and that the forcing varies linearly. This study aims to investigate this additional source of uncertainty in hazard estimation, using the XBeach-1D model, to assess the differences in simulated erosion and flooding associated with real and synthetic storm definitions. Analysis is performed for real conditions ranging from moderate to extreme at the Northern Adriatic and North-Western Mediterranean coasts, using beach profiles ranging from dissipative to reflective. The storm definitions generate considerable differences in terms of wave power and timing at the peak of the storm. When synthetic storms were applied, coastal hazards were not adequately reproduced in most of the simulated cases. The energy of the storms, profile characteristics, local storm climates, and water levels did not consistently influence the differences between the synthetic- and reality-based outputs.

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