Abstract:
This work aimed at testing the capability of the numerical model SWASH to be imple-
mented in the prototype of the overtopping and flooding forecast system HIDRALERTA for Ericeira
harbour. In contrast to the neural network NN_OVERTOPPING2, which is currently implemented
in HIDRALERTA, SWASH is able to estimate the flood extension and wave propagation along the
domain, which makes it a possible improvement to NN_OVERTOPPING2. The one-dimensional
version of the SWASH model was implemented to simulate overtopping at two different profiles
(antifer and tetrapods) and calibrated for three storms in 2019 by comparing the simulated overtop-
ping discharge to NN_OVERTOPPING2 results. For the calibration, the Manning coefficient was
used to represent the friction of the armour layer. Then, for operational purposes, four expressions to
calculate the Manning coefficient were developed based on: the relative crest freeboard, the wave
steepness, the incident wave angle and the type of armour layer. The expressions showed small errors
between the calculated and calibrated Manning coefficients and highlighted the importance of the
incident wave angle to obtain an accurate calibration. Despite an underestimation of the overtopping
discharge in some cases, the SWASH model was found to provide overall good results when applied
with calculated Manning coefficients and suitable to be implemented in HIDRALERTA.
