Trend detection by innovative polygon trend analysis for winds and waves

It is known that densely populated coastal areas may be adversely affected as a result of the climate change effects. In this respect, for protection, utilization, and management it critical to understand changes in wind speed (WS) significant wave height (SWH) areas. Innovative approaches, which are one trend analysis methods used an effective way examine these changes, have started very frequently many fields recent years, although not marine engineering. The Polygon Trend Analysis (IPTA) method provides observe one-year behavior time series by representing between consecutive months well determining trends each individual month. also constraints such data length, distribution type or serial correlation. Therefore, main objective study investigate whether using innovative compared traditional makes difference climatological variables. For goal, mean maximum WS SWH month at 33 locations Black Sea coasts were evaluated. Wind parameters obtained from 42-year long-term simulations Simulating Waves Nearshore (SWAN) model forced Climate Forecast System Reanalysis (CFSR). Monthly ??were calculated all then analyses both performed. Low occurrence detected SWH, WS, according Mann-Kendall test studied months. IPTA more trends, decreasing most May, July November December. lowest (highest) values seen summer (winter), cycle on template According methods, showed some inner continental shelf southwestern southeastern Sea. can capture method, missed latter method.