Simulation of hurricane Lorenzo at the port of Lajes das Flores, Azores, by using the HIDRALERTA system

Abstract

HIDRALERTA is a forecast, early warning and risk assessment system for port and coastal areas that uses measurements and estimates of sea-waves and water levels to evaluate overtopping/flooding events. The calculation of the mean overtopping discharge over a maritime structure is performed through artificial neural network-based tools and/or empirical formulae. The system is developed in open source software, mainly using the Python language. This paper presents the application of HIDRALERTA system to reproduce the hurricane Lorenzo conditions and impacts at Lajes das Flores port on October 2nd 2019, the most affected port in Azores. This hurricane was regarded as the strongest storm to hit Azores in 20 years. The system predicted the expected results for the hurricane wave characteristics, as well as overtopping discharge volumes. Further validation still need to be improved with the collaboration of the local authorities and the use of historical data.