2020
DOI: 10.1016/j.oceaneng.2020.107432
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Assessment of storm events along the Algiers coast and their potential impacts

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Cited by 27 publications
(16 citation statements)
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“…In general, by comparing the areas characterized by a significant increasing trend of SWH_Max for all four seasons compared to areas observed on the annual SWH_Max trend, we observed that a significant area of the WMed Sea characterized by a significant increasing trend on a seasonal scale had not been considered as such in the annual scale trend results, including the Algiers coast where an increase of storm events was reported in (Amarouche et al 2020b) as only a Max value SWH was considered each year during the annual trend analysis of SWH max. These annual values can be obtained in different seasons and different months during the years and cannot reflect increases or decreases in storm events and intensities.…”
Section: 2wind and Wave Trendsmentioning
confidence: 84%
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“…In general, by comparing the areas characterized by a significant increasing trend of SWH_Max for all four seasons compared to areas observed on the annual SWH_Max trend, we observed that a significant area of the WMed Sea characterized by a significant increasing trend on a seasonal scale had not been considered as such in the annual scale trend results, including the Algiers coast where an increase of storm events was reported in (Amarouche et al 2020b) as only a Max value SWH was considered each year during the annual trend analysis of SWH max. These annual values can be obtained in different seasons and different months during the years and cannot reflect increases or decreases in storm events and intensities.…”
Section: 2wind and Wave Trendsmentioning
confidence: 84%
“…In the present study, the changes in wave climates observed during more than 41 years in the WMed Sea were evaluated by analyzing the trends of mean and Max SWH and WS and by locating the area that experienced new records of extreme SWH during the last decade. This study is motivated by the outstanding storms observed in 2018, and (storm Adrian and storm Gloria), which caused enormous damage in the European coasts, and also by the increase in the intensity and number of storms on the coasts of Algiers (Amarouche et al 2020b), in addition to the influence of global climate change on the Mediterranean Sea pointed out by several researchers (Adloff et al 2015).…”
Section: Discussionmentioning
confidence: 99%
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“…The use of SWAN allows for higher fidelity simulation near shallow water, where oceanic models often use approximation for shallow water dynamics, thus allowing for properly accounting for the large depth variations the regional bathymetry is characterized by (see Figure 2). Using a neashore model driven by validated boundaries takes advantage of faster computation time and higher shallow water accuracy with similar model chains [37][38][39][40]. Our boundary conditions are extracted by a validated and calibrated model, and considering the small fetch, validity of the underlying data benefits by the shallow water source terms of SWAN.…”
Section: Methodsmentioning
confidence: 99%
“…In order to characterize the potential erosion and destruction of these events, the maximum storm power index (SPI max ) of [22], i.e., the energy content for the storm and the maximum wave energy (E) were calculated. The SPI index (either SPI max ) is applied for evaluating the impacts of storms in coastal zones and their causality [20,[23][24][25]. As the integrated and maximum power index are almost linearly proportional [24], SPI max was used for simplicity as follows:…”
Section: Regionmentioning
confidence: 99%