Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/16409
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dc.contributor.authorUpadhyaya S.K.
dc.contributor.authorRao S.
dc.contributor.authorManu
dc.date.accessioned2021-05-05T10:30:24Z-
dc.date.available2021-05-05T10:30:24Z-
dc.date.issued2020
dc.identifier.citationIndian Journal of Geo-Marine Sciences Vol. 49 , 5 , p. 717 - 723en_US
dc.identifier.urihttps://doi.org/
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/16409-
dc.description.abstractA competent coastal engineer should have adequate knowledge with regard to wave analysis. Long-term analysis is being effectively used worldwide to predict wave heights based on extreme wave statistics. The objective here is to analyze the ocean waves off Mangaluru coast, India. Long-term analysis is initially performed based on probability distributions like Log-normal distribution, Gumbel distribution, Fretchet distribution, Exponential distribution, and Weibull distributions on the in-situ wave data recorded at coastal waters off Mangaluru coast. The Extreme wave analysis is performed based on Peak Over Threshold method from which the best-fit probability distribution is obtained. Further, the best performing distribution is applied on the simulated wave heights obtained from MIKE 21 numerical model forced with ERA-interim wind speed data of 38-years. From the analysis, amongst the five different distributions considered Weibull distribution with α = 1.3 gave the best-fit for the wave dataset considered. Long-term analysis is then performed on 38-years hindcast data for 10, 50 and 100 year return periods for the Mangaluru coast region. © 2020 National Institute of Science Communication and Information Resources (NISCAIR). All rights reserved.en_US
dc.titleLong-term analysis of waves off Mangaluru coasten_US
dc.typeArticleen_US
Appears in Collections:1. Journal Articles

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