Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Nigel Tozer"'
Publikováno v:
Journal of Waterway, Port, Coastal, and Ocean Engineering. 147
In this work, we carried out a case study of numerical simulations of low-frequency wave motions at the Marina di Carrara Harbor, where field observations have been conducted from 2005 to ...
Autor:
Tim Hunt, Tim Pullen, Ben Gouldby, Dominic Hames, Peter J. Hawkes, Mike Panzeri, David Wyncoll, Mark Franklin, Uwe Dornbusch, Nigel Tozer
Publikováno v:
Proceedings of the Institution of Civil Engineers - Maritime Engineering. 170:3-20
It is widely recognised that coastal flood events can arise from combinations of extreme waves and sea levels. For flood risk analysis and the design of coastal structures it is therefore necessary to assess the joint probability of the occurrence of
Publikováno v:
Environmental Modelling & Software. 84:482-493
New innovations are emerging which offer opportunities to improve forecasts of wave conditions. These include probabilistic modelling results, such as those based on an ensemble of multiple predictions which can provide a measure of the uncertainty,
Autor:
Ben Gouldby, Tim Pullen, Mark Franklin, Nigel Tozer, Dominic Hames, Peter J. Hawkes, Uwe Dornbusch, Tim Hunt, Mike Panzeri, David Wyncoll
Publikováno v:
Coasts, Marine Structures and Breakwaters 2017.
The design of breakwaters and other coastal structures around the UK requires the assessment of the joint probability of extreme waves and sea levels. There is a standard simplified approach applied within the UK that uses joint exceedance contours o
Autor:
Uwe Dornbusch, Ben Gouldby, Tim Pullen, Dominic Hames, Peter J. Hawkes, Tim Hunt, David Wyncoll, Mark Franklin, Mike Panzeri, Nigel Tozer
Publikováno v:
E3S Web of Conferences, Vol 7, p 01007 (2016)
It has long been recognised that extreme coastal flooding can arise from the joint occurrence of extreme waves, winds and sea levels. There has been significant development in statistical methods that are capable of appropriately accounting for the d
Publikováno v:
E3S Web of Conferences, Vol 7, p 04002 (2016)
Flood risk analysis often involves the integration of multivariate probability distributions over a domain defined by a consequence function. Often, solutions of this risk integral involves Monte-Carlo sampling techniques, whereby 1000’s of potenti
Publikováno v:
Coastal Structures 2007.