Stochastic Integral Equations and Rainfall-Runoff Models
By: by Theodore V. Hromadka, Robert J. Whitley
Contributors: Whitley, Robert J.
Publisher: Springer Berlin Heidelberg
Published: 1989
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 384
ISBN-13: 9783642493119; 9783642493096
Subjects: Engineering; Engineering mathematics; Environmental protection; Hydraulic engineering; Waste disposal; Pollution
Description: The uncertainty in rainfall-runoff modeling predictions has become a topic of recent key interest. In this book, the uncertainty problem is approached by use of stochastic integral equations. Various aspects of the rainfall-runoff modeling process are scrutinized by use of probabilistic models, such that when combined, a stochastic integral equation results. Uncertainty in single even runoff estimates, as well as return frequency event outcomes are analyzed. Use of example problems demonstrate the application of stochastic integral equations in addition to explaining the underlying concepts. Computer program source code is also provided which can be used to solve both theoretical and real-world problems. The generous supply of chapter problems enables the book to be used as an applied textbook in stochastic integrals.
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Table of contents: title: Contents: Rainfall-Runoff Approximation; title: Probability and Statistics Review; title: Introduction to Stochastic Integral Equations in Rainfall-Runoff Modeling; title: Stochastic Integral Equations Applied to a Multi-Linear Rainfall-Runoff Model; title: Rainfall-Runoff Model Criterion Variable Frequency Distributions; title: Using the Stochastic Integral Equation Method; title: References; title: Author Index; title: Subject Index.