Abstract
The computer model for near shore wave propagation, SWAN, was used to study wave climates in Liverpool Bay, northwest England with various input parameters, including bottom friction factor, white capping, wind drag formulation and effects of tidal modulations. Results were compared with in-situ measurements and reveal the impacts from these inputs on the predictions of wave height and propagation distributions. In particular, the model results were found very sensitive to different input formulations, and tend to underestimate the wave parameters under storm conditions in comparison with the observations. It is therefore important to further validate the model against detailed field measurements, particularly under large storms that are often of the primary concern.
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References
Coastal Engineering Research Centre. 1984. Shore Protection Manual. US Army Corps Engineers, Washington DC, United State of America
DEFRA, UK. 2006. Flood and Coastal Defence Appraisal Guidance, FCDPAG3 Economic Appraisal, Supplementary Note to Operating Authorities-Climate Change Impacts, October 2006, Depart for Environment Food and Rural Area, London, UK
Delft University of Technology. 2006. SWAN User Manual. Delft University of Technology, 2600 GA Delft, The Netherlands
Environmental Agency, UK. 2009. Flood Maps [Q/OL] Available at http://maps.environment-agency.gov.uk/wiyby/wiybyController?ep=maptopics&lang=e [Accessed 2 June 2009], Environmental Agency, UK
Hargreaves J C, Carter D J T, Cotton P D et al. 2002. Using the SWAN wave model and satellite altimeter data to study the influence of climate change at the coast. Global Atmosphere and Ocean System, 8(1): 41–66
Hasselmann K, Barnett T P, Bouws E, et al. 1973. Measurements of wind-wave growth and swell decay during the joint North Sea wave project (JONSWAP). Dtsch Hydrogr Z Suppl, 12: A8
Holthuijsen L H. 2007. Waves in Oceanic and Coastal Waters. Cambridge: Cambridge University Press
Hurdle D P, Stive R J H. 1989. Revision of SPM 1984 wave hindcast model to avoid inconsistencies in engineering applications. Coastal Engineering, 12: 339–351
Madsen O S, Poon Y K, Graber H C. 1988. Spectral wave attenuation by bottom friction: theory Proc 21th Int Conf Coastal Engineering, ASCE. New York: ASCE, 492–504
van Vledder, G Ph and Hurdle, D P. 2002. Performance of formulations for whitecapping in wave prediction models, Proc 21rd Int Conf on Offshore Mech and Arctic Eng. New York: ASME, 155–163
Wolf J. 2003. Parametric Modelling of Waves in Liverpool Bay and Dee Estuary. Liverpool: Proudman Oceanographic Laboratory, UK
Wolf J. 2008a. Climate Change Effects on Waves in UK Waters, Liverpool Marine Science Symposium, Climate change: the science and the Impacts-A Liverpool Perspective, January 8th–January 9th, 2008. Liverpool: University of Liverpool
Wolf J. 2008b. Coupled wave and surge modelling and implications for coastal flooding. Advances in Geosciences, Göttingen Germany: Copemicus publications, 17: 19–22
Wolf J, Hargreaves J C, Flather R A. 2002. Application of the SWAN Shallow Water Wave Model to Some U.K. Coastal Sites. Bidston, Birkenhead: Proudman Oceanographic Laboratory Liverpool
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Foundation item: The Public Science and Technology Research Funds Projects of Ocean under contract Nos 200905001 and 201005019; this work is partially sponsored by Engineering and Physics Science Research Council (UK) through DTA training scheme.
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Li, M., Raymond, I., Wolf, J. et al. Numerical investigation of wave propagation in the Liverpool Bay, NW England. Acta Oceanol. Sin. 30, 1–13 (2011). https://doi.org/10.1007/s13131-011-0142-3
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DOI: https://doi.org/10.1007/s13131-011-0142-3