Stochastic and Statistical Methods in Hydrology and Environmental Engineering

I: Climatic Change.- Applications of Stochastic Modeling in Climate Change Impact Assessment.- Knowledge Based Classification of Circulation Patterns for Stochastic Precipitation Modeling.- Grey Theory Approach to Quantifying the Risks Associated with General Circulation Models.- A Nonparametric Renewal Model for Modeling Daily Precipitation.- II: Forecasting.- Forecasting B.C. Hydro’s Operation of Williston Lake — How Much Uncertainty is Enough.- Evaluation of Streamflow Forecasting Models.- Application of a Transfer Function Model to a Storage-Runoff Process.- Seeking User Input in Inflow Forecasting.- Linear Procedures for Time Series Analysis in Hydrology.- III: Entropy.- Application of Probability and Entropy Concepts in Hydraulics.- Assessment of the Entropy Principle as Applied to Water Quality Monitoring Network Design.- Comparisons betweeen Bayesian and Entropic Methods for Statistical Inference.- An Entropy-Based Approach to Station Discontinuance.- Assessment of Treatment Plant Efficiencies by the Entropy Principle.- Infilling Missing Monthly Streamflow Data Using a Multivariate Approach.- IV: Neural Networks.- Application of Neural Networks to Runoff Prediction.- Prediction of Daily Water Demands by Neural Networks.- Backpropagation in Hydrological Time Series Forecasting.- V: Trend Assessment.- Tests for Monotonic Trend.- Analysis of Water Quality Time Series Obtained for Mass Discharge Estimation.- De-Acidification Trends in Clearwater Lake near Sudbury, Ontario 1973–1992.- VI: Spatial Analysis.- Multivariate Kernel Estimation of Functions of Space and Time Hydrologic Data.- Comparing Spatial Estimation Techniques for Precipitation Analysis.- VII: Spectral Analysis.- Exploratory Spectral Analysis of Time Series.- On the Simulation of Rainfall Basedon the Characteristics of Fourier Spectrum of Rainfall.- VIII: Topics in Streamflow Modelling.- Cluster Based Pattern Recognition and Analysis of Streamflows.- RéMus, Software for Missing Data Recovery.- Seasonality of Flows and its Effect on Reservoir Size.- Estimation of the Hurst Exponent h and Geos Diagrams for a Non-Stationary Stochastic Process.- Optimal Parameter Estimation of Conceptually-Based Streamflow Models by Time Series Aggregation.- On Identification of Cascade Systems by Nonparametric Techniques with Applications to Pollution Spread Modeling in River Systems.- Patching Monthly Streamflow Data — A Case Study Using the EM Algorithm and Kalman Filtering.- Runoff Analysis by the Quasi Channel Network Model in the Toyohira River Basin.- Author Index.