This study focuses on the shoreline change detection along the North Sinai coast in Egypt using geographic information system and digital shoreline analysis system (DSAS) during the elapsed period from 1989 to 2016. The measurement of shoreline variation is mainly described for three zones: zone I, El-Tinah plain bay; zone II, El-Bardawil Lake; zone III, El-Arish valley. The rates of shoreline changes in the form of erosion and accretion patterns are automatically quantified by four statistical parameters functioned in DSAS namely endpoint rate, net shoreline movement, linear regression rate (LRR), and least median of squares. LRR results elucidate that the western seaside of El-Tinah plain bay has experienced an extremely dynamic feature with an average erosion rate of −8.17 m/year. The littoral drifts have been driven by eastward alongshore currents toward the east side of the bay to be accreted with an average rate of +4.28 m/year. Moreover, the shoreline has progressed west of El-Bardawil inlet (1), El-Bardawil inlet (2), and El-Arish harbor. Subsequently, the corresponding average beach growth rates are found to be +2.7, +8.5, and +6.5 m/year, respectively. In contrast, the shoreline on the down-drift side to the east has negatively retreated, and the corresponding beaches have regressed at rates of −4.5, −8.65, and −2.9 m/year, respectively.

This paper presents and discusses the results of experimental investigations using both vertical and sloping seawalls configurations to determine the optimal wave reflection characteristics of seawalls for protecting beaches against erosion under a variety of hydrodynamic conditions. The different experiments include both of rectangular or triangular serrated blocks and slotted seawalls with or without triangular serrations as energy dissipaters. The linear wave theory is utilized. Moreover, the Dalrymple method is considered to predict the ordinates of the resultant standing wave due to the partial wave reflection. Using the dimensional analysis, lab measurements, and SPSS, predictive formulae are proposed to predict the reflection coefficient for the five tested models by using SPSS software. The findings of the present investigation could be applied to optimize the design criteria of shore protection structures

This investigation aims to establish a system to test the identification of shoreline changes along the coast of Hurghada. Besides, the Digital Shoreline Analysis System (DSAS) studies the shoreline shift rate analysis. Multi-temporal satellite images have revealed accretion and erosion patterns in the areas of concern. Landsat images with different periods were geometrically and radiometrically corrected, then classified through assigning 8 different classes for the quantitative coastline delineation analysis from 1987 to 2019: (Landsat 5–TM, Thematic Mapper (TM)), Landsat7 ETM+, worldview 2, and Sentinel 2). To detect both land use and land cover change (LULCC) and shoreline growth, a maximum controlled classification tool is used. The DSAS was used to measure the coastal changing rate as a powerful statistical analysis tool, and thus to predict the behavior of the coastal shift over a long time. DSAS used two separate methods: EPR and LRR. The results concluded that, primarily as a consequence of unregulated landfill practices before tourist facilities, Hurghada's coastal region experienced an average accretion rate of 1.38 m/y. Moreover, the El-Gouna study revealed drastic modifications because of the development of its coastal zone's closed inland lagoons. Finally, the creation of the decision matrix reveals the evolution of the shorelines in the three last decades and the statistical projection for the three next decades. This study highlights the problem of extreme erosion in the Southern part (which is still not completely developed).