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contributor authorM. T. Pontes
contributor authorR. Aguiar
contributor authorH. Oliveira Pires
date accessioned2017-05-09T00:17:29Z
date available2017-05-09T00:17:29Z
date copyrightAugust, 2005
date issued2005
identifier issn0892-7219
identifier otherJMOEEX-28274#249_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/132431
description abstractThe nearshore wave energy resource in Portugal has been assessed through the development of ONDATLAS. This is an electronic atlas, compatible with Internet access, containing comprehensive wave climate and wave energy statistics for 78 points at about 20m water depth spaced variably ca.5–30km, 5 points at deep water, and 2 points at open ocean locations. The data were produced by a third-generation wind-wave model, complemented by an inverse-ray model that computes the directional spectra transformation from open ocean to the nearshore. Shoaling, refraction, bottom dissipation, and shelter by the coastline and/or neighboring islands are taken into account. ONDATLAS statistics comprise yearly and monthly values, variability and probability data for significant wave height, energy (mean) period, peak period and wave power, and directional histograms for wave and power direction. Joint probability distributions for various combinations of the above parameters are also available, as well as extreme values and return period for wave height and period parameters. A summary of the detailed verification of this model using long-term buoy measurements at four sites is presented. The main characteristics of ONDATLAS are described. The strong spatial variability that wave conditions exhibit at the coastal area are illustrated and a brief assessment of the nearshore resource at the Portugal mainland is presented.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Nearshore Wave Energy Atlas for Portugal
typeJournal Paper
journal volume127
journal issue3
journal titleJournal of Offshore Mechanics and Arctic Engineering
identifier doi10.1115/1.1951779
journal fristpage249
journal lastpage255
identifier eissn1528-896X
keywordsWaves
keywordsWave energy
keywordsShorelines
keywordsProbability
keywordsClimate
keywordsSpectra (Spectroscopy)
keywordsBuoys
keywordsOceans
keywordsWind waves
keywordsWater
keywordsMeasurement
keywordsInternet AND Wave power generation
treeJournal of Offshore Mechanics and Arctic Engineering:;2005:;volume( 127 ):;issue: 003
contenttypeFulltext


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