A Model To Predict The Coastal Sea Level
Variations And Surge
Author(s)
M. M. F. de Oliveira & N. F. F. Ebecken
Abstract
This paper presents a methodology to predict the coastal sea level variations and
surge using a neural network model. Although drastic storm surge typically does
not occur along the coastal waters of Brazil, these events can cause some damage
to coastal regions. A strong storm surge occurred along the southeast coast of
Brazil in March 1998 caused severe flooding in these coastal areas, destroying
some coastline constructs. Operational forecasting of high sea levels (storm
surges) might be important in the southeast coastal of Brazil, where there are
registered sea level variations above the astronomical tide predictions that can
consistently impact coastal zones in this area. The aim of this study is to develop
an empirical prediction of storm surge by determining the relationship of the
wind and pressure fields to storm surge. This proposed model can be used to as
complement of the standard constant harmonic model to improve the prediction
of the sea level variations.
Keywords: storm surge, sea level, neural networks.
Keywords
storm surge, sea level, neural networks
Related Book
Other papers in this volume
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