دانلود رایگان مقاله رویکرد مبتنی بر رابط برای ثبت تخمین ارتفاع موج از طریق همبستگی مکانی

ABSTRACT

Information on the wave climate at a particular location is essential in many areas of coastal engineering from the design of coastal structures to flood risk analysis. It is most commonly obtained either by direct measurements or hindcast from meteorological data. The extended deployment of a wave buoy to directly measure wave conditions and the application of wave transformation models used in hindcasting, including public domain models such as Wavewatch and SWAN, are both expensive. The accuracy of the results given by the latter are also highly sensitive to the quality of the wind data used as input. In this paper a new copulabased approach for predicting the wave height at a given location by exploiting the spatial dependence of the wave height at nearby locations is proposed. By working directly with wave heights, it provides an alternative method to hindcasting from observed or predicted wind fields when limited information on the wave climate at a particular location is available. It is shown to provide predictions of a comparable accuracy to those given by existing numerical models.

5. Conclusion

Knowledge of the significant wave height is essential in the design of coastal structures. Physically collecting such data through long term deployment of wave buoys is an expensive process. To overcome this issue numerical hindcasting and wave transformation models have been developed for predicting the wave climate at a coastal location. However, these numerical approaches also have their limitations. These include: computational expense; sensitivity to input conditions that are often difficult to measure accurately in coastal locations; and neglect of key physical processes. As a result alternative methods for predicting significant wave height have been sought. In this paper, a method for estimating the significant wave height at a coastal location based upon spatial correlations has been put forward. In order to apply the model a limited record of the significant wave heights at the site of interest as well as simultaneously observed wave records at nearby locations are required. This requires less information and input data than that required to run and calibrate a numerical model. Furthermore, since wave buoys are often deployed for short periods at locations where the wave climate is of interest and networks of wave buoys are now commonplace along coasts under threat of flooding, the proposed method is likely to find many applications. It was shown to be able to predict the wave conditions at a particular location to a good approximation giving a similar level of performance to a medium or high resolution SWAN simulation.