A copula-based analysis of flood phenomena in Victoria, Australia

Abdul Rauf, U 2014, A copula-based analysis of flood phenomena in Victoria, Australia, Doctor of Philosophy (PhD), Mathematical and Geospatial Sciences, RMIT University.


Document type: Thesis
Collection: Theses

Attached Files
Name Description MIMEType Size
Abdul_Rauf.pdf Thesis application/pdf 9.18MB
Title A copula-based analysis of flood phenomena in Victoria, Australia
Author(s) Abdul Rauf, U
Year 2014
Abstract The issue of floods in Australia is receiving increased researchers’ attention. Floods normally occur when some part of the country experiences high level of precipitation for a certain period of time. Natural disaster protection plans, which have flood mitigation projects, intensified the studies of rainfall modelling due to urgent need in water resource management. As a result, statistical analysis of rainfall is becoming increasingly important resulting from the unpredictable climactic condition prevailing in many parts of the world. This research presents a statistical analysis of rainfall characteristics over Victoria, Australia. Traditional approaches in building multivariate distributions pose some limitations especially in the field of hydrology. This is due to the fact that hydrological variables are highly dependent and do not always satisfy the traditional modelling assumptions. Copulas are regarded as one of the best tools in assisting statisticians in constructing joint distribution of multivariate random variables with different types of marginal distributions. Copulas also provide a compliant procedure where the dependence structure between the variables can be consistently preserved. Four hydrologic applications are presented using several copula-based approaches: (1) joint rainfall characteristics modelling using the parametric family of copulas, (2) applications on Beta kernel copula analysis using parametric and nonparametric marginal distributions, (3) comparison studies between parametric and nonparametric copulas, and (4) studies of return periods.

Degree Doctor of Philosophy (PhD)
Institution RMIT University
School, Department or Centre Mathematical and Geospatial Sciences
Keyword(s) copulas
parametric
nonparametric
rainfall
Standard Precipitation Index
Versions
Version Filter Type
Access Statistics: 380 Abstract Views, 519 File Downloads  -  Detailed Statistics
Created: Fri, 14 Nov 2014, 11:14:30 EST by Maria Lombardo
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us