Wave height forecasting in Dayyer, the Persian Gulf
Kamranzad, B. and Etemad-Shahidi, A. and Kazeminezhad, M.H. (2011) Wave height forecasting in Dayyer, the Persian Gulf. Ocean Engineering, 38 (1). pp. 248-255. ISSN 0029-8018 (https://doi.org/10.1016/j.oceaneng.2010.10.004)
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Abstract
Forecasting of wave parameters is necessary for many marine and coastal operations. Different forecasting methodologies have been developed using the wind and wave characteristics. In this paper, artificial neural network (ANN) as a robust data learning method is used to forecast the wave height for the next 3, 6, 12 and 24 h in the Persian Gulf. To determine the effective parameters, different models with various combinations of input parameters were considered. Parameters such as wind speed, direction and wave height of the previous 3 h, were found to be the best inputs. Furthermore, using the difference between wave and wind directions showed better performance. The results also indicated that if only the wind parameters are used as model inputs the accuracy of the forecasting increases as the time horizon increases up to 6 h. This can be due to the lower influence of previous wave heights on larger lead time forecasting and the existing lag between the wind and wave growth. It was also found that in short lead times, the forecasted wave heights primarily depend on the previous wave heights, while in larger lead times there is a greater dependence on previous wind speeds.
ORCID iDs
Kamranzad, B. ORCID: https://orcid.org/0000-0002-8829-6007, Etemad-Shahidi, A. and Kazeminezhad, M.H.;-
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Item type: Article ID code: 83945 Dates: DateEvent31 January 2011Published3 November 2010Published Online18 October 2010AcceptedSubjects: Technology > Engineering (General). Civil engineering (General) > Environmental engineering Department: Faculty of Engineering > Civil and Environmental Engineering Depositing user: Pure Administrator Date deposited: 31 Jan 2023 15:10 Last modified: 11 Nov 2024 13:45 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/83945