ABSTRACT

The objective of the present study is to give a contribution to the extreme wave climate assessment in the Black Sea, as studies of extreme storm waves are of great interest for coastal protection and maritime traffic. High resolution wind wave data sets are used to investigate trends and variability of the characteristics of extreme storm waves. Two different methodologies (Eulerian and Lagrangean) are applied to 30 years of wave hindcast from 1987 to 2016, over the Black Sea to identify extreme storm waves and also to assess the extreme wave climate. Using the Eulerian methodology, it is observed that extreme storm waves are seasonal, being more frequent during the winter and almost non-existent during the summer. Also, that some areas, as the south-eastern region of the Black Sea more prone to storm generation, in particular, during winter and autumn. For the seven locations near the coast, a considerable inter-annual variability is found in extreme values, but not so much in the mean. Statistical significance in trend adjustment was only found in two locations in the north-western coast, for extreme values. Using a Lagrangean methodology, an inter-annual variability in all storm characteristics that is found, more marked in the annual number of wave storms, maximum area affected by storm waves and maximum length, and less marked for maximum Hs in the storm waves and storm lifetime.

摘要

本研究的目的是为黑海的极端波浪气候评估做出贡献，因为极端风暴波浪的研究对海岸保护和海上交通具有重要意义。高分辨率风波数据集用于研究极端风暴波特征的趋势和变化。两种不同的方法（欧拉和拉格朗日）应用于 1987 年至 2016 年 30 年的黑海海浪后报，以识别极端风暴波并评估极端波浪气候。使用欧拉方法，观察到极端风暴波是季节性的，在冬季更频繁，在夏季几乎不存在。此外，一些地区，特别是黑海东南部地区更容易产生风暴，在冬季和秋季。对于靠近海岸的七个地点，在极端值中发现了相当大的年际变化，但在平均值中没有那么多。趋势调整的统计显着性仅在西北海岸的两个位置发现，为极端值。使用拉格朗日方法，发现所有风暴特征的年际变化，在波浪风暴的年度数量、受风暴波影响的最大面积和最大长度上更显着，而在最大波数上的标记较少Hs在风暴浪潮和风暴生命周期中。