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Title: Frequency and Risk Analyses in Hydrology - Reprinted 2019
Author/Developer: Geoff Kite
Specifications: Softcover, 266 pp

NEW ISBN 2019: 978-1-887201-95-7
Previous ISBN 13: 978-1-887201-64-0

Price: US $56
Cat No: FRAH

See also:
SLURP 12.9 Hydrologic Model

Concepts of Watershed Hydrology

Coastal Environment and Water Quality
Computer Models of Small Watershed <<Reprinted 2012 in Hardcover
Mathematical Models of Large Watershed
Mathematical Models of Small Watershed Hydrology and Applications
Order

Description and Information

Every year, floods and droughts cause loss of life and millions of dollars worth of damage in many countries of the world. In many cases, these consequences could be reduced either by nonstructural means such as restricting building in flood plains and by limiting water abstractions, or by better design of regulatory structures to reduce flood peaks and increase low flows. In all these cases, the key is knowledge of the distribution of flows in the river.
    Hydrology is the science through which man tries to understand the properties and the distribution of water. Frequency analysis is a set of mathematical and statistical techniques used to describe the probability of occurrence of events.
    This book describes some of the methods currently used to apply frequency analysis techniques to hydrological data in order to provide planners and engineers with figures that they can use in practice to reduce the losses caused by flood and drought. Risk analysis is an extension of the technique used to assess the probability that the estimated design event will differ from the actual event.

 

1 INTRODUCTION

2 DATA
Annual Series and Partial Duration Series
Samples From Different Populations
Use of Historic Data
Errors
Plotting Position

3 FREQUENCY DISTRIBUTIONS (GENERAL)
Introduction
Parameter Estimation
Frequency Factor
Standard Error
Computer Programs

4 DISCRETE DISTRIBUTIONS
Binomial
Poisson

5 NORMAL DISTRIBUTION
Introduction
Estimation of Parameters
Frequency Factor
Standard Error

6 TWO-PARAMETER LOGNORMAL DISTRIBUTION
Introduction
Estimation of Parameters
Frequency Factor
Standard Error
Computer Program

7 THREE-PARAMETER LOGNORMAL DISTRIBUTION
Introduction
Estimation of Parameters
Frequency Factor
Standard Error
Computer Program

8 TYPE I EXTREMAL DISTRIBUTION
Introduction
Estimation of Parameters
Frequency Factor
Standard Error
Computer Program

  9 PEARSON TYPE III DISTRIBUTION
Introduction
Estimation of Parameters
Frequency Factor
Standard Error
Computer Program

10 LOG-PEARSON TYPE III DISTRIBUTION
Introduction
Estimation of Parameters
Frequency Factor
Standard Error
Computer Program

11 TYPE III EXTERMAL DISTRIBUTION
Introduction
Estimation of Parameters
Frequency Factor
Standard Error
Computer Program

12 COMPARISON OF FREQUENCY DISTRIBUTIONS
Introduction
Classical Tests
Bayesian Analysis
Computer Program for Least Squares

13 REGIONAL ANALYSIS
Introduction
Index-Flood Method
Multiple Regression Techniques
Square-Grid Method
Use of Standard Frequency Distributions
Regional Record Maxima
Bayesian Analysis
Single Station and Regional Information Content

14 RISK
The Need for Risk Analysis
Economic Design
Risk Design

15 SUMMARY AND CONCLUSIONS
Introduction
Data Abstraction, Graphs, and Plotting Positions
Frequency Distributions
Regional Analysis
Risk

 



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