![]() ![]() These studies showed a significant correlation between the storm power index and the storm’s causality. The SPI index is applied by several researchers in the evaluation of the impacts of storms in the coastal zones. , and on the storm power index ( SPI), derived by Dolan and Davis, calculated for each characterized storm. In the present study, we aim to evaluate the trend in storm wave intensity based on total storm wave energy of each storm event ( TSWE), also called energy flux and computed following Molina et al. An assessment of these parameters that characterize storm waves occurred over a considerable period of time will provide a better understanding of the storm regime and allow for a better assessment of the likely intensities of a storm wave along the coast. Thus, the intensity of storm waves depends on several factors, mainly the wave heights and wave period during the storm, the persistence of storms, and the direction of storm waves with respect to the shoreline. These contributions have been motivated by the alarming climate changes observed over the last decades, considering the increasing trend in significant wave heights ( H s) reported in several studies, as well as the increase in Hs during tropical cyclones, and also the variation in storm wave intensity, linked to the local variation in the storm power index of Dolan and Davis. Currently, several researchers are interested in assessing the impact of storms on coastal areas in the Mediterranean. The extent of this damage can have a considerable impact on the economies of countries. They are often responsible for significant damage and loss in several sectors of marine activity such as aquaculture and navigation additionally, these storms are responsible for several changes in the coastlines and cause damage to coastal and port infrastructure. Marine storms are one of the major preoccupations of sea users and marine security services. Consideration of the present findings is strongly recommended for risk assessment and for sustainable development in coastal and offshore area and to identify areas sensitive to global climate change in the western Mediterranean Sea. year −1 for annual max TSWE and between 28 m².The confidence level in this area exceed 95%, with a steep slope between 100 kWh Results allow as to define five hotspots covering a large area, experienced a significant increasing slope in both SPI and TSWE (annual maxima and average). The present study is spatially performed for the western Mediterranean Sea basin considering 2308 grid points in a regular grid of 0.198° resolution in both directions. The Theil–Sen slope estimator was used to estimate the annual slopes of the SPI and TSWE and the Mann–Kendall test was used to test the trend significance with different confidence levels. Thus, both SPI and TSWE was computed for each storm wave event. Using an accurate long-term wave hindcast developed using a calibrated SWAN model, all storm wave events occurring over the past 41 years were characterized in terms of significant wave height ( H s) and total storm duration. Storm wave intensity is evaluated in terms of total storm wave energy (TSWE) and storm power index (SPI) of Dolan and Davis (1992). ![]() Annual trends in storm wave intensity over the past 41 years were evaluated during the present study. ![]()
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