Ebook: Stochastic and Statistical Methods in Hydrology and Environmental Engineering: Time Series Analysis in Hydrology and Environmental Engineering

Within this landmark collection of papers, highly respected scientists and engineers from around the world present some of the latest research results in extreme value analyses for floods and droughts. Two approaches that are commonly employed in flood frequency analyses are the maximum annual flood and partial duration series or peak over threshold procedures. Recent theoretical advances as well as illustrative applications are described in detail for each of these approaches. Additionally, droughts and storms are systematically studied using appropriate probabilistic models. A major part of the volume is devoted to frequency analyses and fitting extreme value distributions to hydrological data. Other thought-provoking topics include regionalization techniques, distributed models, entropy and fractal analysis.

Audience
The book is of interest to researchers, teachers, students and practitioners who wish to place themselves at the leading edge of flood frequency and drought analyses.

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Within this landmark collection of papers, highly respected scientists and engineers from around the world present some of the latest research results in extreme value analyses for floods and droughts. Two approaches that are commonly employed in flood frequency analyses are the maximum annual flood and partial duration series or peak over threshold procedures. Recent theoretical advances as well as illustrative applications are described in detail for each of these approaches. Additionally, droughts and storms are systematically studied using appropriate probabilistic models. A major part of the volume is devoted to frequency analyses and fitting extreme value distributions to hydrological data. Other thought-provoking topics include regionalization techniques, distributed models, entropy and fractal analysis.

Audience
The book is of interest to researchers, teachers, students and practitioners who wish to place themselves at the leading edge of flood frequency and drought analyses.

---

Within this landmark collection of papers, highly respected scientists and engineers from around the world present some of the latest research results in extreme value analyses for floods and droughts. Two approaches that are commonly employed in flood frequency analyses are the maximum annual flood and partial duration series or peak over threshold procedures. Recent theoretical advances as well as illustrative applications are described in detail for each of these approaches. Additionally, droughts and storms are systematically studied using appropriate probabilistic models. A major part of the volume is devoted to frequency analyses and fitting extreme value distributions to hydrological data. Other thought-provoking topics include regionalization techniques, distributed models, entropy and fractal analysis.

Audience
The book is of interest to researchers, teachers, students and practitioners who wish to place themselves at the leading edge of flood frequency and drought analyses.

Content:
Front Matter....Pages i-xix
Front Matter....Pages 1-1
Applications of Stochastic Modeling in Climate Change Impact Assessment....Pages 3-17
Knowledge Based Classification of Circulation Patterns for Stochastic Precipitation Modeling....Pages 19-32
Grey Theory Approach to Quantifying the Risks Associated with General Circulation Models....Pages 33-46
A Nonparametric Renewal Model for Modeling Daily Precipitation....Pages 47-59
Front Matter....Pages 61-61
Forecasting B.C. Hydro’s Operation of Williston Lake-How Much Uncertainty is Enough....Pages 63-75
Evaluation of Streamflow Forecasting Models....Pages 77-85
Application of a Transfer Function Model to a Storage-Runoff Process....Pages 87-97
Seeking User Input in Inflow Forecasting....Pages 99-103
Linear Procedures for Time Series Analysis in Hydrology....Pages 105-117
Front Matter....Pages 119-119
Application of Probability and Entropy Concepts in Hydraulics....Pages 121-134
Assessment of the Entropy Principle as Applied to Water Quality Monitoring Network Design....Pages 135-148
Comparisons Between Bayesian and Entropic Methods for Statistical Inference....Pages 149-162
An Entropy-Based Approach to Station Discontinuance....Pages 163-176
Assessment of Treatment Plant Efficiencies by the Entropy Principle....Pages 177-189
Infilling Missing Monthly Streamflow Data Using a Multivariate Approach....Pages 191-202
Front Matter....Pages 203-203
Application of Neural Networks to Runoff Prediction....Pages 205-216
Prediction of Daily Water Demands by Neural Networks....Pages 217-227
Backpropagation in Hydrological Time Series Forecasting....Pages 229-242
Front Matter....Pages 243-243
Tests for Monotonic Trend....Pages 245-270
Analysis of Water Quality Time Series Obtained for Mass Discharge Estimation....Pages 271-284
Front Matter....Pages 243-243
De-Acidification Trends in Clearwater Lake near Sudbury, Ontario 1973–1992....Pages 285-298
Front Matter....Pages 299-299
Multivariate Kernel Estimation of Functions of Space and Time Hydrologic Data....Pages 301-315
Comparing Spatial Estimation Techniques for Precipitation Analysis....Pages 317-330
Front Matter....Pages 331-331
Exploratory Spectral Analysis of Time Series....Pages 333-346
On the Simulation of Rainfall Based on the Characteristics of Fourier Spectrum of Rainfall....Pages 347-359
Front Matter....Pages 361-361
Cluster Based Pattern Recognition and Analysis of Streamflows....Pages 363-380
R?mus, Software for Missing Data Recovery....Pages 381-393
Seasonality of Flows and Its Effect on Reservoir Size....Pages 395-407
Estimation of the Hurst Exponent h and Geos Diagrams for a Non-Stationary Stochastic Process....Pages 409-420
Optimal Parameter Estimation of Conceptually-Based Streamflow Models by Time Series Aggregation....Pages 421-434
On Identification of Cascade Sytems by Nonparametric Techniques with Applications to Pollution Spread Modeling in River Systems....Pages 435-448
Patching Monthly Streamflow Data — A Case Study Using the Em Algorithm and Kalman Filtering....Pages 449-457
Runoff Analysis by the Quasi Channel Network Model in the Toyohira River Basin....Pages 459-467
Back Matter....Pages 469-475

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Within this landmark collection of papers, highly respected scientists and engineers from around the world present some of the latest research results in extreme value analyses for floods and droughts. Two approaches that are commonly employed in flood frequency analyses are the maximum annual flood and partial duration series or peak over threshold procedures. Recent theoretical advances as well as illustrative applications are described in detail for each of these approaches. Additionally, droughts and storms are systematically studied using appropriate probabilistic models. A major part of the volume is devoted to frequency analyses and fitting extreme value distributions to hydrological data. Other thought-provoking topics include regionalization techniques, distributed models, entropy and fractal analysis.

Audience
The book is of interest to researchers, teachers, students and practitioners who wish to place themselves at the leading edge of flood frequency and drought analyses.

Content:
Front Matter....Pages i-xix
Front Matter....Pages 1-1
Applications of Stochastic Modeling in Climate Change Impact Assessment....Pages 3-17
Knowledge Based Classification of Circulation Patterns for Stochastic Precipitation Modeling....Pages 19-32
Grey Theory Approach to Quantifying the Risks Associated with General Circulation Models....Pages 33-46
A Nonparametric Renewal Model for Modeling Daily Precipitation....Pages 47-59
Front Matter....Pages 61-61
Forecasting B.C. Hydro’s Operation of Williston Lake-How Much Uncertainty is Enough....Pages 63-75
Evaluation of Streamflow Forecasting Models....Pages 77-85
Application of a Transfer Function Model to a Storage-Runoff Process....Pages 87-97
Seeking User Input in Inflow Forecasting....Pages 99-103
Linear Procedures for Time Series Analysis in Hydrology....Pages 105-117
Front Matter....Pages 119-119
Application of Probability and Entropy Concepts in Hydraulics....Pages 121-134
Assessment of the Entropy Principle as Applied to Water Quality Monitoring Network Design....Pages 135-148
Comparisons Between Bayesian and Entropic Methods for Statistical Inference....Pages 149-162
An Entropy-Based Approach to Station Discontinuance....Pages 163-176
Assessment of Treatment Plant Efficiencies by the Entropy Principle....Pages 177-189
Infilling Missing Monthly Streamflow Data Using a Multivariate Approach....Pages 191-202
Front Matter....Pages 203-203
Application of Neural Networks to Runoff Prediction....Pages 205-216
Prediction of Daily Water Demands by Neural Networks....Pages 217-227
Backpropagation in Hydrological Time Series Forecasting....Pages 229-242
Front Matter....Pages 243-243
Tests for Monotonic Trend....Pages 245-270
Analysis of Water Quality Time Series Obtained for Mass Discharge Estimation....Pages 271-284
Front Matter....Pages 243-243
De-Acidification Trends in Clearwater Lake near Sudbury, Ontario 1973–1992....Pages 285-298
Front Matter....Pages 299-299
Multivariate Kernel Estimation of Functions of Space and Time Hydrologic Data....Pages 301-315
Comparing Spatial Estimation Techniques for Precipitation Analysis....Pages 317-330
Front Matter....Pages 331-331
Exploratory Spectral Analysis of Time Series....Pages 333-346
On the Simulation of Rainfall Based on the Characteristics of Fourier Spectrum of Rainfall....Pages 347-359
Front Matter....Pages 361-361
Cluster Based Pattern Recognition and Analysis of Streamflows....Pages 363-380
R?mus, Software for Missing Data Recovery....Pages 381-393
Seasonality of Flows and Its Effect on Reservoir Size....Pages 395-407
Estimation of the Hurst Exponent h and Geos Diagrams for a Non-Stationary Stochastic Process....Pages 409-420
Optimal Parameter Estimation of Conceptually-Based Streamflow Models by Time Series Aggregation....Pages 421-434
On Identification of Cascade Sytems by Nonparametric Techniques with Applications to Pollution Spread Modeling in River Systems....Pages 435-448
Patching Monthly Streamflow Data — A Case Study Using the Em Algorithm and Kalman Filtering....Pages 449-457
Runoff Analysis by the Quasi Channel Network Model in the Toyohira River Basin....Pages 459-467
Back Matter....Pages 469-475
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