Modeling Hydrologic Change: Statistical Methods
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 too...
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CRC Press
2009
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| Truy cập trực tuyến: | http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1193 |
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oai:scholar.dlu.edu.vn:DLU123456789-1193 |
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Thư viện Trường Đại học Đà Lạt |
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English |
| topic |
Environmental Sciences |
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Environmental Sciences McCuen, Richard H Modeling Hydrologic Change: Statistical Methods |
| description |
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 physical processes that occur within watersheds. An application-oriented text, Modeling Hydrologic Change: Statistical Methods provides a step-by-step presentation of modeling procedures to help you properly analyze and model real-world data.
The text addresses modeling systems where change has affected data that will be used to calibrate and test models of the system. The use of actual hydrologic data will help you learn how to handle the vagaries of real-world hydrologic-change data. All four elements of the modeling process are discussed: conceptualization, formulation, calibration, and verification. Although the book is oriented towards the statistical aspects of modeling, a strong background in statistics is not required. The statistical and modeling methods discussed here will be of value to all disciplines involved in modeling change. With approximately 100 illustrations, Modeling Hydrologic Change will equip you with an understanding with which to perform the proper analyses and modeling of the complex processes that occur across various disciplines. |
| format |
Book |
| author |
McCuen, Richard H |
| author_facet |
McCuen, Richard H |
| author_sort |
McCuen, Richard H |
| title |
Modeling Hydrologic Change: Statistical Methods |
| title_short |
Modeling Hydrologic Change: Statistical Methods |
| title_full |
Modeling Hydrologic Change: Statistical Methods |
| title_fullStr |
Modeling Hydrologic Change: Statistical Methods |
| title_full_unstemmed |
Modeling Hydrologic Change: Statistical Methods |
| title_sort |
modeling hydrologic change: statistical methods |
| publisher |
CRC Press |
| publishDate |
2009 |
| url |
http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1193 |
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1757658298185678848 |
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oai:scholar.dlu.edu.vn:DLU123456789-11932009-10-13T02:22:14Z Modeling Hydrologic Change: Statistical Methods McCuen, Richard H Environmental Sciences 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 physical processes that occur within watersheds. An application-oriented text, Modeling Hydrologic Change: Statistical Methods provides a step-by-step presentation of modeling procedures to help you properly analyze and model real-world data. The text addresses modeling systems where change has affected data that will be used to calibrate and test models of the system. The use of actual hydrologic data will help you learn how to handle the vagaries of real-world hydrologic-change data. All four elements of the modeling process are discussed: conceptualization, formulation, calibration, and verification. Although the book is oriented towards the statistical aspects of modeling, a strong background in statistics is not required. The statistical and modeling methods discussed here will be of value to all disciplines involved in modeling change. With approximately 100 illustrations, Modeling Hydrologic Change will equip you with an understanding with which to perform the proper analyses and modeling of the complex processes that occur across various disciplines. 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 the Random Component * Autoregression and Cross-Regression Models STATISTICAL HYPOTHESIS TESTING * A Procedure for Testing Hypotheses * Relationship between 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 FREQUENCY ANALYSIS * Frequency Analysis and Synthesis * Population Models * Adjusting a Flood Record for Urbanization GRAPHICAL DETECTION OF NONHOMOGENEITY Graphical * Analysis * 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 * 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 * The 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 NON-STATIONARY 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 2009-10-13T02:22:14Z 2009-10-13T02:22:14Z 2002 Book 156670600 http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/1193 en application/octet-stream CRC Press |