IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
Log On
About IAHRDirectoryCommitteesMy IAHRNews & JournalseLibraryeShopEventsJoin IAHRWorld CongressDonate
spacer.gif
spacer.gif eLibrary
spacer.gif eLibrary
You are here : eLibrary : IAHR World Congress Proceedings : 36th Congress - The Hague (2015) ALL CONTENT : Special sessions : Analysis of signals from waves and wind using wavelet transform for renewable
Analysis of signals from waves and wind using wavelet transform for renewable
Author : G. RUIZ(1)
ABSTRACT
The use and rational exploitation, cost-effective and sustainable the maritime resources of a country requires the proper
characterization of the maritime climate. Knowledge of wind, waves, tidal flows and currents presented in a zone is
essential for the development of activities such as design, construction and maintenance of infrastructure maritime and
port; operational in ports and marinas; determination of navigation routes; planning activities coast outside and civil
protection among others. This characterization is appropriate, requires two fundamental activities: measurement in field of
meteorological and oceanographic variables, and the development of numerical models that adequately validated allows it
to be useful for the above-mentioned activities predictions. In marine engineering, the modeling of the waves has been
one of the main lines of research; much of the efforts have guided the development of numerical models to reproduce the
generation of the waves by the action of the wind and its spread to the coast. The present paper will discuss the
development of the continuous applying the coscalogram representation for time series simultaneously acquired. One
such tool is the Wavelet Transform (WT) that uses local orthogonal functions, that change in frequency and magnitude,
which allows viewing the characteristics of the transitional local found in the signal.
File Size : 643,105 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 36th Congress - The Hague (2015) ALL CONTENT
Article : Special sessions
Date Published : 18/08/2015
Download Now