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Application of mathematical modelling for assessment of nearshore wave climate

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dc.contributor.author Ranasinghe, DPL
dc.date.accessioned 2019-05-14T05:04:00Z
dc.date.available 2019-05-14T05:04:00Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/14274
dc.description.abstract In Sri Lanka, nearshore wave climate is influenced by the simultaneous occurrence of swell waves approaching from a more or less southerly direction and sea waves mainly influenced by monsoonal weather pattern. Some nearshore areas are also vulnerable for occasional impact of cyclonic wave conditions. This complexity and high degree of temporal and spatial variability of waves clearly emphasize the need for accurate assessment of nearshore wave climate. The lack of wave recordings at nearshore location restricts the assessment of nearshore wave climate to some extent. This deficiency in wave data can be overcome by transforming waves from location at which wave data are available through wave propagation modelling. This research study is aimed to develop two dimensional mathematical model based on an irregular wave description capable of simulating wave propagation from offshore to nearshore considering wave transformations due to shoaling, refraction , wave breaking and bottom friction dissipation. The wave conservation equation and the model of Battjes and Janssen were used as the basis to develop the model. Galle (70m depth) is considered as offshore location which represents the entire deep water wave climate off the southern offshore coast. Hambantota (17m depth) and Kudawella (15m depth) were selected as nearshore locations to establish the directional wave statistics for swell and sea waves by applying the developed mathematical model. Finally based on obtained nearshore wave data base, predictions for extreme wave conditions were made as design wave parameters for coastal and harbour structures. Extreme wave heights analysis were done for both offshore and nearshore locations in southern coast of Sri Lanka using two statistical extreme value probability distributions, namely Gumbel (Fischer-Tippet Type 1) distribution and the Weibull distribution
dc.language.iso en en_US
dc.subject Coastal Engineering en_US
dc.subject Water Waves- Mathematical Modelling en_US
dc.title Application of mathematical modelling for assessment of nearshore wave climate en_US
dc.type SRC-Report en_US
dc.identifier.department Department of Civil Engineering en_US
dc.identifier.accno 95940 en_US
dc.identifier.year 2008 en_US


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