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Regional frequency analysis of extreme rainfalls
V T V Nguyen1, T D Nguyen, F Ashkar
1Department of Civil Engineering and Applied Mechanics, McGill University, Montreal, Quebec, Canada.
Summary
This study introduces two novel methods for estimating extreme rainfall, benefiting both gaged and ungaged sites. These techniques provide reliable extreme rainfall estimates comparable to observed data.
Area of Science:
- Hydrology
- Extreme Weather Analysis
- Statistical Modeling
Background:
- Accurate estimation of extreme rainfall is crucial for hydrological design and risk assessment.
- Existing methods often struggle with data scarcity for both duration and location.
Purpose of the Study:
- To develop and validate two alternative methods for estimating extreme rainfall distributions.
- To address challenges in estimating rainfall extremes at gaged and ungaged sites.
Main Methods:
- Method 1: Utilizes scale-invariance to estimate short-duration rainfall extremes from long-duration data.
- Method 2: Employs a new definition of homogeneous sites for estimating extremes at ungaged locations.
Main Results:
- Numerical applications in Quebec, Canada, demonstrate the efficacy of the proposed methods.
- Estimates from the new methods show comparability with observed at-site rainfall data.
Conclusions:
- The proposed methods offer effective solutions for extreme rainfall estimation, particularly for data-scarce regions.
- Scale-invariance and homogeneous site definitions enhance the reliability of extreme rainfall predictions.