Chapter
Apr 26, 2012
Application of Bivariate Frequency Analysis for Estimating Design Rainfalls
Authors: Young-Moon Kwon [email protected]), Jeong-Woo Han [email protected]), and Tae-Woong Kim [email protected])Author Affiliations
Publication: World Environmental and Water Resources Congress 2008: Ahupua'A
Abstract
Univariate frequency analyses are widely used in practical hydrologic design. However, a storm event is characterized by storm amount, peak intensity, and storm duration. To fully understand these characteristics and to use them appropriately in hydrologic design, a multivariate statistical approach is necessary. This study applied Gumbel mixed model to bivatiate storm frequency analysis using hourly rainfall data collected for 34 years at the Jecheon rainfall gauge station in Korea. This study estimated bivariate return periods of a storm such as joint return periods and conditional return periods based on the estimation of joint cumulative distribution functions of storm characteristics.
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© 2008 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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ASCE Technical Topics:
- Analysis (by type)
- Climates
- Data analysis
- Distribution functions
- Engineering fundamentals
- Environmental engineering
- Frequency analysis
- Frequency distribution
- Hydrologic engineering
- Hydrology
- Joints
- Mathematical functions
- Mathematics
- Meteorology
- Methodology (by type)
- Precipitation
- Rainfall
- Rainfall frequency
- Research methods (by type)
- Statistics
- Storms
- Structural engineering
- Structural members
- Structural systems
- Water and water resources
Authors
Affiliations
Graduate Research Assistant, Department of Civil Engineering, Hanyang University, Seoul, Korea. (. E-mail: [email protected])
Graduate Research Assistant, Department of Civil Engineering, Hanyang University, Seoul, Korea. (. E-mail: [email protected])
Assistant Professor, Department of Civil and Environmental System Engineering, Hanyang University, Ansan, Korea (. E-mail: [email protected])
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