Abstract
Because of the complexity of flood forecasting, hydrological models and statistical models need to be developed for flood frequency analysis, and flood forecasting. In this chapter, the performance of LP3, GEV, PL and GP models was investigated for flood frequency analysis to find the most suitable flood frequency analysis method in the Oak Ridges Moraine (ORM) area, southern Ontario. Historical data of river runoff peak discharge for the past several decades are used to model the relationship between flood discharge and return period by fitting a theoretical statistical distribution for each gauging station. The correlation coefficients of observations and model fitted lines are compared to evaluate the performance of each flood frequency analysis method. The comparison of different flood frequency analysis methods suggest that there are no significant differences of the LP3, GEV, PL and GP models for less than approximate 10-year return period flood frequency analysis in the ORM area. And there are no significant differences of the LP3, GEV, PL and GP models for greater than approximate 10-year return period flood frequency analysis in the ORM area.
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