Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8059285 | Applied Ocean Research | 2018 | 15 Pages |
Abstract
This paper introduces an appropriate visualization of the tidal inlets including the characterization of internal siltation and the remediation of associated non-affirmative consequences due to the existence of its protective jetties, such as down-side erosion and up-side accretion. Accordingly, the 2D hydrodynamic circulation models CMS-Flow and CMS-Wave have been initially set up to describe the morphodynamics situation inside the artificial western inlet (inlet (1)) of the Bardawil Lagoon, which is situated along the Mediterranean coastline of the Sinai Peninsula, in the presence and absence of the jetties. Simultaneously, the Littoral Processes and Coastline Kinetics (DHI-LITPACK) numerical model is essentially applied to predict the shoreline responses in the vicinity of inlet (1) to numerous different scenarios considering both hard (i.e., groins and detached breakwaters) and soft (i.e., sand nourishment and sand bypassing systems) measures during the period from 2010 to 2030. The study has revealed that the use of hard measures to the east of the inlet would induce exceedingly high recession rates of the shoreline. Nevertheless, the use of a one-time nourishment of 250,000â¯m3 in the areas between short groins (with lengths of 90â¯m and an interval of 400â¯m) during their construction would optimally reduce the expected area of erosion by approximately 91.85%. Meanwhile, a single groin with a length of 200â¯m and a westward drift distance of 450â¯m to the west of the inlet would be superior with regard to optimizing the sedimentary stock compared to an annual dredging rate of 100,000â¯m3/year. Finally, an optimization model has been constructed using a Mamdani-type fuzzy inference system to determine the cheapest and most efficient solution with the minimum impact on the sandy barrier zone of inlet (1).
Related Topics
Physical Sciences and Engineering
Engineering
Ocean Engineering
Authors
Karim Nassar, Wael Elham Mahmod, Ali Masria, Hassan Fath, Kazuo Nadaoka,