Extreme water levels along the central Red Sea coast of Saudi Arabia: processes and frequency analysis

Charls Antony, Sabique Langodan, Hari Prasad Dasari, Omar Knio and Ibrahim Hoteit ()
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Charls Antony: King Abdullah University of Science and Technology (KAUST)
Sabique Langodan: King Abdullah University of Science and Technology (KAUST)
Hari Prasad Dasari: King Abdullah University of Science and Technology (KAUST)
Omar Knio: King Abdullah University of Science and Technology (KAUST)
Ibrahim Hoteit: King Abdullah University of Science and Technology (KAUST)

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2021, vol. 105, issue 2, No 28, 1797-1814

Abstract: Abstract Knowledge about extreme water levels is essential for efficient planning and design of coastal infrastructure. This study uses a high-resolution (~ 60 m) coupled advanced circulation + simulating waves nearshore modeling system to estimate extreme water levels in the coastal waters of King Abdullah Economic City (KAEC), Saudi Arabia, located on the central eastern coast of the Red Sea. High spatial (5 km) and temporal (hourly) resolution meteorological fields are generated to drive the model, along with open ocean tides. The characteristics of extreme water levels in the region are subsequently described based on the validated model simulations. The central Red Sea is characterized by a low-tidal regime, and meteorological events contribute significantly to total water levels: meteorological surges cause water level increases of up to 75 cm inside the KAEC lagoon. An extreme value analysis based on annual maxima of hindcast water level data is conducted and the results suggest that the inferred 100-year water levels are about 80 cm inside the KAEC lagoon. It is also shown that projected sea level rise would reduce the average recurrence intervals of extreme water levels along the KAEC coastline.

Keywords: Red Sea; Saudi Arabia; King abdullah economic city; Extreme sea levels; Meteorological surges; Return periods (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11069-020-04377-y

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