## Abstract Random variable simulation has been applied to many applications in hydrological modelling, flood risk analysis, environmental impact assessment, etc. However, computer codes for simulation of distributions commonly used in hydrological frequency analysis are not available in most softw
Bivariate frequency analysis: discussion of some useful concepts in hydrological application
β Scribed by Sheng Yue; Peter Rasmussen
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 696 KB
- Volume
- 16
- Category
- Article
- ISSN
- 0885-6087
- DOI
- 10.1002/hyp.1185
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β¦ Synopsis
Abstract
Basic concepts such as conditional probability distributions, conditional return periods, and joint return periods are important to understand and to interpret multivariate hydrological events such as floods and storms. However, these concepts are not well documented in the open literature. This paper assembles and clarifies these concepts, and illustrates their practical utility. Relationships between joint return periods and univariate return periods are also derived. These concepts and relationships are demonstrated by applying a bivariate extreme value distribution to represent the joint distribution of flood peak and volume from an actual basin. Copyright Β© 2002 John Wiley & Sons, Ltd.
π SIMILAR VOLUMES
convergent even when x and y
Configural frequency analysis (CFA) tests whether certain individual patterns in different variables are observed more frequently in a sample than expected by chance. In normative CFA, these patterns are derived from the subject's specific position in relation to sample characteristics such as the m