448 Pages
64 B/W Illustrations
by
CRC Press
448 Pages
by
CRC Press
Also available as eBook on:
Modeling hydrologic changes and predicting their impact on watersheds is a dominant concern for hydrologists and other water resource professionals, civil and environmental engineers, and urban and regional planners. As such changes continue, it becomes more essential to have the most up-to-date tools with which to perform the proper analyses and modeling of the complex ecology, morphology, and... Read more
DATA, STATISTICS, AND MODELING
Watershed Changes
Effect on Flood Record
Watershed Change and Frequency Analysis
Detection of Nonhomogeneity
Modeling of Nonhomogeneity
INTRODUCTION TO TIME SERIES MODELING
Components of a Time Series
Moving-Average Filtering
Autocorrelation Analysis
Cross-Correlation Analysis
Identification of Random Components
Autoregression and Cross-Regression Models
STATISTICAL HYPOTHESIS TESTING
Procedure for Testing Hypotheses
Relationships among Hypothesis Test Parameters
Parametric and Nonparametric Tests
OUTLIER DETECTION
Chauvener's Method
Dixon-Thompson Test
Rosner's Outlier Test
Log Pearson Type III Outlier Detection: Bulletin 17b
Pearson Type III Outlier Detection
STATISTICAL FREQUENCY ANALYSIS
Frequency Analysis and Synthesis
Population Models
Adjusting Flood Record for Urbanization
GRAPHICAL DETECTION OF NONHOMOGENEITY Graphical Analyses
Compilation of Causal Information
Supporting Computational Analyses
STATISTICAL DETECTION OF NONHOMOGENEITY
Runs Test
Kendall Test for Trend
Pearson Test for Serial Independence
Spearman Test for Trend
Spearman-Conley Test
Cox-Stuart Test for Trend
Noether's Binomial Test for Cyclical Trend
Durbin-Watson Test for Autocorrelation
Equality of Two Correlation Coefficients
DETECTION OF CHANGE IN MOMENTS
Graphical Analysis
The Sign Test
Two-Sample t-Test
Mann-Whitney Test
The t-Test for Two Related Samples
The Walsh Test
Wilcoxan Matched-Pairs, Signed-Ranks Test
One-Sample Chi-Square Test
Two-Sample F-Test
Siegel-Tukey Test for Scale
DETECTION OF CHANGE IN DISTRIBUTION
Chi-Square Goodness-of-Fit Test
Kolmogorov-Smirnov One-Sample Test
The Wald-Wolfowitz Runs Test
Kolmogorov-Smirnov Two-Sample Test
MODELING CHANGE
Conceptualization
Model Formulation
Model Calibration
Model Verification
Assessing Model Reliability
HYDROLOGIC SIMULATION
Computer Generation of Random Numbers
Simulation of Discrete Random Variables
Generation of Continuously Distributed Random Variates
Applications of Simulation
SENSITIVITY ANALYSIS
Mathematical Foundations of Sensitivity Analysis
Time Variation of Sensitivity
Sensitivity in Model Formulation
Sensitivity and Data Error Analysis
Sensitivity of Model Coefficients
Watershed Change
FREQUENCY ANALYSIS UNDER NONSTATIONARY LAND USE CONDITIONS
Data Requirements
Developing a Land-Use Time Series
Modeling Issues
Comparison of Flood Frequency Analyses
Summary
Appendix A: Statistical Tables
Appendix B: Data Matrices
References
Index
Each chapter begins with and Introduction and ends with a "Problems" Section
Watershed Changes
Effect on Flood Record
Watershed Change and Frequency Analysis
Detection of Nonhomogeneity
Modeling of Nonhomogeneity
INTRODUCTION TO TIME SERIES MODELING
Components of a Time Series
Moving-Average Filtering
Autocorrelation Analysis
Cross-Correlation Analysis
Identification of Random Components
Autoregression and Cross-Regression Models
STATISTICAL HYPOTHESIS TESTING
Procedure for Testing Hypotheses
Relationships among Hypothesis Test Parameters
Parametric and Nonparametric Tests
OUTLIER DETECTION
Chauvener's Method
Dixon-Thompson Test
Rosner's Outlier Test
Log Pearson Type III Outlier Detection: Bulletin 17b
Pearson Type III Outlier Detection
STATISTICAL FREQUENCY ANALYSIS
Frequency Analysis and Synthesis
Population Models
Adjusting Flood Record for Urbanization
GRAPHICAL DETECTION OF NONHOMOGENEITY Graphical Analyses
Compilation of Causal Information
Supporting Computational Analyses
STATISTICAL DETECTION OF NONHOMOGENEITY
Runs Test
Kendall Test for Trend
Pearson Test for Serial Independence
Spearman Test for Trend
Spearman-Conley Test
Cox-Stuart Test for Trend
Noether's Binomial Test for Cyclical Trend
Durbin-Watson Test for Autocorrelation
Equality of Two Correlation Coefficients
DETECTION OF CHANGE IN MOMENTS
Graphical Analysis
The Sign Test
Two-Sample t-Test
Mann-Whitney Test
The t-Test for Two Related Samples
The Walsh Test
Wilcoxan Matched-Pairs, Signed-Ranks Test
One-Sample Chi-Square Test
Two-Sample F-Test
Siegel-Tukey Test for Scale
DETECTION OF CHANGE IN DISTRIBUTION
Chi-Square Goodness-of-Fit Test
Kolmogorov-Smirnov One-Sample Test
The Wald-Wolfowitz Runs Test
Kolmogorov-Smirnov Two-Sample Test
MODELING CHANGE
Conceptualization
Model Formulation
Model Calibration
Model Verification
Assessing Model Reliability
HYDROLOGIC SIMULATION
Computer Generation of Random Numbers
Simulation of Discrete Random Variables
Generation of Continuously Distributed Random Variates
Applications of Simulation
SENSITIVITY ANALYSIS
Mathematical Foundations of Sensitivity Analysis
Time Variation of Sensitivity
Sensitivity in Model Formulation
Sensitivity and Data Error Analysis
Sensitivity of Model Coefficients
Watershed Change
FREQUENCY ANALYSIS UNDER NONSTATIONARY LAND USE CONDITIONS
Data Requirements
Developing a Land-Use Time Series
Modeling Issues
Comparison of Flood Frequency Analyses
Summary
Appendix A: Statistical Tables
Appendix B: Data Matrices
References
Index
Each chapter begins with and Introduction and ends with a "Problems" Section
Biography
Richard H. McCuen
