Stochastic and Statistical Methods in Hydrology and Environmental Engineering (eBook, PDF)

Time Series Analysis in Hydrology and Environmental Engineering
Redaktion: Hipel, Keith W.

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer Netherlands
• Seitenzahl: 476
• Erscheinungstermin: 17. April 2013
• Englisch
• ISBN-13: 9789401730839
• Artikelnr.: 43985362

Inhaltsangabe

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.