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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hardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! N° de réf. du vendeur S_418181284
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Hard Cover. Etat : Good. Prior owner's name & remainder mark stamped on first page, and initials inked on bottom edge, else text clean; binding tight; minor wear to covers. 384 pages. Illustrated. "The uncertainty problem in rainfall-runoff predictions 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 event runoff estimates, as well as return freguency event outcomes are analyzed. Computer program source code is also provided which can be used to solve both theoretical and real-world problems.". N° de réf. du vendeur S134-035732
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