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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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Previews available in: English
Subjects
Mathematical models, Runoff, Rain and rainfall, Stochastic integral equations, Équations intégrales stochastiques, Abfluss, Abflussmessung, Modell, Regen, Regenwasser, Stochastische Integralgleichung, Engineering, Engineering mathematics, Environmental protection, Hydraulic engineering, Waste disposal, Pollution, Integral equationsEdition | Availability |
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1
Stochastic Integral Equations and Rainfall-Runoff Models
Apr 23, 2012, Springer
paperback
3642493106 9783642493102
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2
Stochastic integral equations and rainfall-runoff models
1989, Springer-Verlag
in English
0387510869 9780387510866
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3
Stochastic Integral Equations and Rainfall-Runoff Models
1989, Springer Berlin Heidelberg
electronic resource /
in English
3642493114 9783642493119
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Book Details
Edition Notes
Bibliography: p. [368]-374.
Includes indexes.
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History
- Created April 1, 2008
- 7 revisions
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July 24, 2024 | Edited by MARC Bot | import existing book |
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