Investigation of flood frequency analysis across Canada
| dc.contributor.author | Zhang, Ziyang | |
| dc.contributor.examiningcommittee | Asadzadeh, Masoud (Civil Engineering) Thompson, Shirley (Natural Resources Institute) | en_US |
| dc.contributor.supervisor | Stadnyk, Tricia (Civil Engineering) | en_US |
| dc.date.accessioned | 2019-01-29T16:15:18Z | |
| dc.date.available | 2019-01-29T16:15:18Z | |
| dc.date.issued | 2018-12 | en_US |
| dc.date.submitted | 2019-01-10T21:11:26Z | en |
| dc.degree.discipline | Civil Engineering | en_US |
| dc.degree.level | Master of Science (M.Sc.) | en_US |
| dc.description.abstract | The NSERC FloodNet Project is currently developing a flood estimation manual for standardized use of flood frequency analysis in Canada (FFA). This thesis is a part of that project and emphasizes two important research topics related to FFA. The first is to identify a preferred statistical distribution for at-site FFA in Canada. Results indicate the Generalized Extreme Value distribution is the most preferred distribution across Canada. As homogeneous flood regions are an important component for the index-flood regional FFA, the second contribution investigates five distinct flood-related attributes for their relevance in developing homogeneous regions Canada-wide. Results show that the attribute of precipitation pattern is preferred for general use in Canada. The attributes of flood seasonality, physiographic variables, and temperature pattern display good potential to be used in selected regions. Findings from this research are considered valuable input to the development of a Canadian flood estimation manual by the FloodNet Project. | en_US |
| dc.description.note | May 2019 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1993/33732 | |
| dc.language.iso | eng | en_US |
| dc.rights | open access | en_US |
| dc.subject | Water resouces engineering | en_US |
| dc.subject | Flood frequency analysis | en_US |
| dc.subject | Stochastic hydrology | en_US |
| dc.title | Investigation of flood frequency analysis across Canada | en_US |
| dc.type | master thesis | en_US |