Distributions of future extreme hydrologic events represent a major concern in the context of climate change and its potential impacts. The accurate inference of their probability distribution for a given period (present or future) is crucial for the safe and economic design of a range of engineering works, from hydraulic structures such as dam spillways and bridges, to flow routing infrastructure such as culverts, stormwater ponds and channels.
These distributions are likely to evolve with climate change and the development of methods to estimate possible impacts on extreme event distributions has become a key area of study. In this study the impact of climate change on flood frequency distributions is ascertained through a combination of physical modeling and statistical analysis. This approach utilizes two of the most valuable tools in the field; general circulation models (GCMs) and non-stationary extreme value analysis, and seeks to capitalize on the strengths of established methods while limiting the number of unnecessary assumptions.
| Identifer | oai:union.ndltd.org:uottawa.ca/oai:ruor.uottawa.ca:10393/28903 |
| Date | January 2011 |
| Creators | Ramsay, Andrea |
| Contributors | Nistor, Ioan,, Seidou, Ousmane, |
| Publisher | University of Ottawa (Canada) |
| Source Sets | Université d’Ottawa |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 172 p. |
Page generated in 0.0015 seconds