Flood frequency analysis
著者
書誌事項
Flood frequency analysis
（New directions in civil engineering）
CRC, 2000
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
After five decades, the field of Statistical Hydrology continues to evolve and remains a very active area of investigation. Researchers continue to examine various distributions, methods of estimation of parameters, and problems related to regionalization. However, much of this research appears in journals and reports and usually in a form not easily accessible to practitioners and students-producing a gap between research and practice.
Flood Frequency Analysis fills this gap by presenting many of these distributions and estimation procedures in a unified format within a single, self-contained book. Focusing on distribution families popular within the hydrologic community, the authors discuss three parameter estimation methods for each distribution: the method of moments, the maximum likelihood method, and the method of probability weighted moments. They present the details behind the procedures to provide the basis for the computations, and they illustrate each procedure with real data. Most of the computations discussed have been programmed for use with personal computers, and executable versions of these programs are available on CD-ROM from the senior author.
Only increased use of new methods and distributions can produce a consensus on their validity. With other books on the subject either limited in scope or seriously outdated, Flood Frequency Analysis provides the ideal vehicle for practicing hydrologists and engineers to explore and apply the latest methods and research results, and in doing so, contribute to the advancement of the field.
目次
INTRODUCTION
Hydrologic Frequency Analysis
General Aspects and Approaches
Other Models
Return Period, Probability, and Plotting Positions
Flood Frequency Models
Hydrologic Risk
Regionalization
Tests on Hydrologic Data
SELECTION AND EVALUATION OF PARENT DISTRIBUTION: CONVENTIONAL MOMENTS
Moments of Distributions and Their Sample Estimates
Moment Ratio Diagrams (MRDs)
Probability Plots
Selection of Distributions
Regional Homogeneity and Regionalization
SELECTION AND EVALUATION OF PARENT DISTRIBUTIONS: PROBABILITY WEIGHTED MOMENTS AND L-MOMENTS
Moments of Distributions and Their Sample Estimates
L-Moment Ratio Diagrams
Goodness of Fit Tests
A Case Study
PARAMETER AND QUANTILE ESTIMATION
Introduction
Parameter Estimation
Quantile Estimation
Confidence Intervals
NORMAL AND RELATED DISTRIBUTIONS
Normal Distribution
Two-Parameter Lognormal (LN(2)) Distribution
Three-Parameter Lognormal (LM(3)) Distribution
GAMMA FAMILY
Exponential Distribution
Two-Parameter Gamma (G(2)) Distribution
Pearson (2) Distribution
Log-Pearson (3) Distribution
U.S. Water Resources Council Method (WRCM)
EXTREME VALUE DISTRIBUTIONS
Generalized Extreme Value (GEV) Distribution
The Extreme Value Type (EV(1) Distribution
Weibul Distribution
WAKEBY FAMILY
The 5-Parameter Wakeby Distribution (WAK(5))
The 4-Parameter Wakeby Distribution (WAK(4))
The Generalized Pareto Distribution
LOGISTIC DISTRIBUTIONS
Logistic Distribution
Generalized Logistic Distribution
COMPUTER PROGRAM
Introduction
Description of Program
REFERENCES
「Nielsen BookData」 より