All Outputs (5)

Investigating the use of joint probability curves in coastal engineering practice (2020)
Journal Article
Hames, D., Gouldby, B., & Hawkes, P. (2020). Investigating the use of joint probability curves in coastal engineering practice. Proceedings of the ICE - Maritime Engineering, 173(3), 68-78. https://doi.org/10.1680/jmaen.2019.12

This paper investigates the inherent inaccuracy in the estimation of various extreme response variables (RVs) for different sea defence structures using joint exceedance curve approaches in common use around the UK. Utilising stochastically generated... Read More about Investigating the use of joint probability curves in coastal engineering practice.

Evolution of joint probability methods in coastal engineering practice in the UK (2019)
Journal Article
Hames, D., Gouldby, B., & Hawkes, P. (2019). Evolution of joint probability methods in coastal engineering practice in the UK. Proceedings of the ICE - Maritime Engineering, 172(2), 45-54. https://doi.org/10.1680/jmaen.2019.4

This paper outlines the evolution of joint probability methods in the design and assessment of sea defence structures in the UK, together with the key drivers for these different methods. It highlights why and how the joint exceedance curve technique... Read More about Evolution of joint probability methods in coastal engineering practice in the UK.

Multivariate extreme value modelling of sea conditions around the coast of England (2017)
Journal Article
Gouldby, B., Wyncoll, D., Panzeri, M., Franklin, M., Hunt, T., Hames, D., …Pullen, T. (2017). Multivariate extreme value modelling of sea conditions around the coast of England. Proceedings of the ICE - Maritime Engineering, 170(1), 3-20. https://doi.org/10.1680/jmaen.2016.16

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... Read More about Multivariate extreme value modelling of sea conditions around the coast of England.

Multiobjective optimization for improved management of flood risk (2013)
Journal Article
Woodward, M., Gouldby, B., Kapelan, Z., & Hames, D. (2014). Multiobjective optimization for improved management of flood risk. Journal of Water Resources Planning and Management, 140(2), 201-215. https://doi.org/10.1061/%28ASCE%29WR.1943-5452.0000295

Effective flood risk management requires consideration of a range of different mitigation measures. Depending on the location, these could include structural or nonstructural measures as well as maintenance regimes for existing levee systems. Risk an... Read More about Multiobjective optimization for improved management of flood risk.

Minimum sample size determination for generalized extreme value distribution (2010)
Journal Article
Cai, Y., & Hames, D. (2010). Minimum sample size determination for generalized extreme value distribution. Communications in Statistics - Simulation and Computation, 40(1), 87-98. https://doi.org/10.1080/03610918.2010.530368

Sample size determination is an important issue in statistical analysis. Obviously, the larger the sample size is, the better the statistical results we have. However, in many areas such as coastal engineering and environmental sciences, it can be ve... Read More about Minimum sample size determination for generalized extreme value distribution.