Introductory technical guidance for civil engineers and other professional engineers and construction managers interested in statistical method for analysis of floods. Here is what is discussed: 1. INTRODUCTION, 2. HYDROLOGIC DATA SAMPLES, 3. FREQUENCY DISTRIBUTIONS, 4. LOG-PEARSON TYPE III DISTRIBUTION, 5. EXAMPLE APPLICATION USING BULLETIN 17B, 6. LIMITATIONS ON FREQUENCY CURVE EXTRAPOLATION, 7. MIXED POPULATIONS, 8. VOLUME ANALYSIS, 9. PROBABILITY RELATIONSHIPS FOR UNGAUGED AREAS, 10. GENERAL TRENDS IN FREQUENCY RELATIONSHIPS, 11. FOSS DAM EXAMPLE.

Introductory technical guidance for civil engineers and others interested in statistical methods applied to flood analysis. Here is what is discussed: 1. INTRODUCTION 2. HYDROLOGIC DATA SAMPLES 3. FREQUENCY DISTRIBUTIONS 4. LOG-PEARSON TYPE III DISTRIBUTION 5. EXAMPLE APPLICATION USING BULLETIN 17B 6. LIMITATIONS ON FREQUENCY CURVE EXTRAPOLATION 7. MIXED POPULATIONS 8. VOLUME ANALYSIS 9. PROBABILITY RELATIONSHIPS FOR UNGAUGED AREAS 10. GENERAL TRENDS IN FREQUENCY RELATIONSHIPS 11. FOSS DAM EXAMPLE.

Introductory technical guidance for Professional Engineers interested in flood study field reports. Here is what is discussed: 1. GENERAL, 2. SPECIFIC CONTENTS OF A FLOOD STUDY REPORT, 3. FIELD RECONNAISSANCE REPORT, 4. STATISTICS AND PROBABILITIES.

Introductory technical guidance for Professional Engineers interested in flood runoff analysis. Here is what is discussed: 1. GENERAL, 2. APPLICATIONS OF FLOOD-RUNOFF ANALYSIS, 3. NATURE OF FLOOD HYDROLOGY, 4. DATA CONSIDERATIONS, 5. APPROACHES TO FLOOD-RUNOFF ANALYSIS, 6. STUDY FORMULATION AND REPORTING, 7. CONSTRUCTION AND OPERATION, 8. SUMMARY.

Introductory technical guidance for civil engineers and other professional engineers interested in flood control engineering. Here is what is discussed: 1. GENERAL, 2. GAUGED VERSUS UNGAUGED PARAMETER ESTIMATION, 3. ANTECEDENT MOISTURE CONDITIONS, 4. SURFACE LOSS ESTIMATION, 5. INFILTRATION METHODS, 6. IMPERVIOUS AREAS, 7. METHOD SELECTION.

This textbook covers the main applications of statistical methods in hydrology. It is written for upper undergraduate and graduate students but can be used as a helpful guide for hydrologists, geographers, meteorologists and engineers. The book is very useful for teaching, as it covers the main topics of the subject and contains many worked out examples and proposed exercises. Starting from simple notions of the essential graphical examination of hydrological data, the book gives a complete account of the role that probability considerations must play during modelling, diagnosis of model fit, prediction and evaluating the uncertainty in model predictions, including the essence of Bayesian application in hydrology and statistical methods under nonstationarity. The book also offers a comprehensive and useful discussion on subjective topics, such as the selection of probability distributions suitable for hydrological variables. On a practical level, it explains MS Excel charting and computing capabilities, demonstrates the use of Winbugs free software to solve Monte Carlo Markov Chain (MCMC) simulations, and gives examples of free R code to solve nonstationary models with nonlinear link functions with climate covariates.

Introductory technical guidance for civil engineers and other professional engineers and water resources managers interested in flood hydrology. Here is what is discussed: 1. BACKGROUND AND HISTORICAL PERSPECTIVE, 2. BASIC HYDROLOGIC AND METEOROLOGIC DATA.