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Modelling sea level surges in the Firth of Clyde, a fjordic embayment in south-west Scotland

Alessandro D. Sabatino (), Rory B. O’Hara Murray, Alan Hills, Douglas C. Speirs and Michael R. Heath
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Alessandro D. Sabatino: University of Strathclyde
Rory B. O’Hara Murray: Marine Laboratory
Alan Hills: SEPA, Scottish Environment Protection Agency
Douglas C. Speirs: University of Strathclyde
Michael R. Heath: University of Strathclyde

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2016, vol. 84, issue 3, No 6, 1623 pages

Abstract: Abstract Storm surges are an abnormal enhancement of the water level in response to weather perturbations. They have the capacity to cause damaging flooding of coastal regions, especially when they coincide with astronomical high spring tides. Some areas of the UK have suffered particularly damaging surge events, and the Firth of Clyde is a region with high risk due to its location and morphology. Here, we use a three-dimensional high spatial resolution hydrodynamic model to simulate the local bathymetric and morphological enhancement of surge in the Clyde, and disaggregate the effects of far-field atmospheric pressure distribution and local scale wind forcing of surges. A climatological analysis, based on 30 years of data from Millport tide gauges, is also discussed. The results suggest that floods are not only caused by extreme surge events, but also by the coupling of spring high tides with moderate surges. Water level is also enhanced by a funnelling effect due to the bathymetry and the morphology of fjordic sealochs and the River Clyde Estuary. In a world of rising sea level, studying the propagation and the climatology of surges and high water events is fundamental. In addition, high-resolution hydrodynamic models are essential to forecast extreme events and to prevent the loss of lives, or to plan coastal defences solutions.

Keywords: Surge; Flooding; Ocean modelling; Clyde Sea; Fjordic basin (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11069-016-2506-7

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