Storm Surge Assessment Methodology Based on Numerical Modelling

9 pages•Published: September 20, 2018

Lara Santos, Mariana Gomes, Luis Vieira, José Pinho and José Antunes Do Carmo

Abstract

Coastal zones face severe weaknesses and high-risk situations due to coastal threats like erosion and storms and due to an increasing intensive occupation. Tropical storms events can contribute to the occurrence of these situations, by causing storm surges with high water levels and, consequently, episodes of waves overtopping and coastal flooding. This work aims to describe a methodology to estimate the storm surge occurrences in the Portuguese coastal zone, recurring to historical tropical storms data that occurred in the vicinity of Portugal and to numerical modeling of its characteristics. Delft3D software together with DelfDashboard tools were applied for the numerical modelling. An automatic generation procedure of storms was implemented based on the few available historical storms data characteristics. Obtained results allows to characterize storm surges along the Portuguese coast, identifying the most vulnerable areas and, consequently contributing for its proper planning and management.

Keyphrases: coastal zones, delft3d, numerical modelling, portugal, storm surges

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 1876-1884.

Links:	https://easychair.org/publications/paper/8vV8
	https://doi.org/10.29007/hrlw

BibTeX entry

@inproceedings{HIC2018:Storm_Surge_Assessment_Methodology,
  author    = {Lara Santos and Mariana Gomes and Luis Vieira and José Pinho and José Antunes Do Carmo},
  title     = {Storm Surge Assessment Methodology Based on Numerical Modelling},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/8vV8},
  doi       = {10.29007/hrlw},
  pages     = {1876-1884},
  year      = {2018}}

Download PDF Open PDF in browser