Implementation of the SWASH model into HIDRALERTA system

Anika Manz; Ana Catarina Zózimo; Conceiçao Fortes; Liliana Pinheiro; Juan L. Garzon

Anika Manz National Laboratory of Civil Engineering https://orcid.org/0009-0009-7519-3613
Ana Catarina Zózimo National Laboratory of Civil Engineering https://orcid.org/0000-0001-5948-6824
Conceiçao Fortes National Laboratory of Civil Engineering https://orcid.org/0000-0002-5503-7527
Liliana Pinheiro National Laboratory of Civil Engineering https://orcid.org/0000-0001-8604-5450
Juan L. Garzon Universidade do Algarve

Keywords: Early Warning System, Wave Overtopping, Risk Reduction, SWASH model

Abstract

Early warning systems are an important tool for local authorities to detect emergency situations in advance and initiate the necessary safety measure. The To-SEAlert project has the aim of increasing the efficiency, robustness and reliability of the HIDRALERTA early warning system. This study shows a first intent to implement the SWASH model to simulate wave overtopping for the Ericeira prototype. SWASH was implemented for one breakwater profile used to simulate the overtopping discharge and evaluate the associated risk levels. It was compared to the current approach used in HIDRALERTA, which resorts to a neural network trained with a physical modelling database, NN_OVERTOPPING2. Finally, both approaches were compared with previously analyzed video images of the breakwater. The results showed that SWASH generally overestimates overtopping and is not in good agreement with the video images. NN_OVERTOPPING2 has a better agreement with the video images. A possible reason for the overestimation might be the wave direction, which cannot be included in one-dimensional simulations in SWASH.

Downloads

Download data is not yet available.

References

C. Altomare, T. Suzuki, X. Chen, T. Verwaest, and A. Kortenhaus, “Wave overtopping of sea dikes with very shallow foreshores,” Coast. Eng., vol. 116, pp. 236–257, 2016, doi: https://doi.org/10.1016/j.coastaleng.2016.07.002.

T. Suzuki et al., “Efficient and robust wave overtopping estimation for impermeable coastal structures in shallow foreshores using SWASH,” Coast. Eng., vol. 122, pp. 108–123, 2017, doi: https://doi.org/10.1016/j.coastaleng.2017.01.009.

M. Zijlema, G. Stelling, and P. Smit, “SWASH: An operational public domain code for simulating wave fields and rapidly varied flows in coastal waters,” Coast. Eng., vol. 58, no. 10, pp. 992–1012, 2011, doi: https://doi.org/10.1016/j.coastaleng.2011.05.015.

T. Suzuki, T. Verwaest, W. Veale, K. Trouw, and M. Zijlema, “A NUMERICAL STUDY ON THE EFFECT OF BEACH NOURISHMENT ON WAVE OVERTOPPING IN SHALLOW FORESHORES,” Coast. Eng. Proc., vol. 1, no. 33, Oct. 2012, doi: 10.9753/icce.v33.waves.50.

T. Suzuki, C. Altomare, T. Verwaest, K. Trouw, and M. Zijlema, “TWO-DIMENSIONAL WAVE OVERTOPPING CALCULATION OVER A DIKE IN SHALLOW FORESHORE BY SWASH,” Coast. Eng. Proc., vol. 1, no. 34, Oct. 2014, doi: 10.9753/icce.v34.structures.3.

T. Suzuki, C. Altomare, M. Willems, and S. Dan, “Non-Hydrostatic Modelling of Coastal Flooding in Port Environments,” Journal of Marine Science and Engineering, vol. 11, no. 3. 2023. doi: 10.3390/jmse11030575.

N. Zhang et al., “Numerical Simulation of Wave Overtopping on Breakwater with an Armor Layer of Accropode Using SWASH Model,” Water, vol. 12, no. 2, 2020, doi: 10.3390/w12020386.

D. F. A. Vanneste, C. Altomare, T. Suzuki, P. Troch, and T. Verwaest, “COMPARISON OF NUMERICAL MODELS FOR WAVE OVERTOPPING AND IMPACT ON A SEA WALL,” Coast. Eng. Proc., vol. 1, no. 34, p. structures.5, Oct. 2014, doi: 10.9753/icce.v34.structures.5.

V. Gracia et al., “A NEW GENERATION OF EARLY WARNING SYSTEMS FOR COASTAL RISK. THE ICOAST PROJECT,” Coast. Eng. Proc., vol. 1, no. 34, p. management.18, Oct. 2014, doi: 10.9753/icce.v34.management.18.

A. van Dongeren et al., “Introduction to RISC-KIT: Resilience-increasing strategies for coasts,” Coast. Eng., vol. 134, pp. 2–9, 2018, doi: https://doi.org/10.1016/j.coastaleng.2017.10.007.

C. J. E. M. Fortes et al., “The HIDRALERTA system: Application to the ports of Madalena do Pico and S. Roque do Pico, Azores,” Aquat. Ecosyst. Health Manag., vol. 23, no. 4, pp. 398–406, Oct. 2020, doi: 10.1080/14634988.2020.1807295.

L. Pinheiro, C. J. E. M. Fortes, M. T. Reis, J. Santos, and C. G. Soares, “Risk Forecast System for Moored Ships,” Oct. 2020.

P. Poseiro, “Forecast and Early Warning System for Wave Overtopping and Flooding in Coastal and Harbour Areas: Development of a Model and Risk Assessment,” IST-UNL, Lisbon, 2019.

M. I. Santos et al., “Simulation of hurricane Lorenzo at the port of Madalena do Pico, Azores, by using the HIDRALERTA system,” in Developments in Maritime Technology and Engineering, Lisbon: MARTECH 5th International Conference on Maritime Technology and Engineering, 2021, pp. 815–823. doi: 10.1201/9781003216599-89.

A. C. Zózimo, A. M. Ferreira, L. Pinheiro, C. J. E. . Fortes, and M. Baliko, “Implementação do sistema HIDRALERTA para a zona costeira da Costa da Caparica,” 2021.

Swan Team, Swan User Manual, 40.51. Department of Civil Engineering and Geosciences, Delft university of Technology, Delft, The Netherlands, 2006.

C. J. E. . Fortes, “Transformações não-lineares de ondas marítimas em zonas portuárias. Análise pelo método dos Elementos Finitos.,” 2002.

D. Flater, Xtide. 2021.

E. M. Coeveld, M. R. A. Van Gent, and B. Pozueta, “Neural network manual for NN_Overtopping program,” 2005.

EurOtop, Manual on wave overtopping of sea defences and related structures. An overtopping manual largely based on European research, but for worldwide application. 2018.

A. Manz, “Application of SWASH to determine overtopping during storm events in the port of Ericeira and its introduction into HIDRALERTA system,” Universidade do Algarve, 2021.

A. Manz, A. Zózimo, and J. L. Garzon, “Application of SWASH to Compute Wave Overtopping in Ericeira Harbour for Operational Purposes,” J. Mar. Sci. Eng., vol. 10, p. 1881, Dec. 2022, doi: 10.3390/jmse10121881.