Stochastic Integral Equations and Rainfall-Runoff Models

Hromadka, Theodore V.; Whitley, Robert J.

ISBN 10: 0387510869 / ISBN 13: 9780387510866

Published by Springer, New York, 1989

About this Item

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.".

Seller Inventory # S134-035732

Bibliographic Details

• Title: Stochastic Integral Equations and Rainfall-Runoff Models
• Publisher: Springer, New York
• Publication Date: 1989
• Language: English
• ISBN 10: 0387510869
• ISBN 13: 9780387510866
• Binding: Hard Cover
• Condition: Good
• Dust Jacket Condition: Issued without a dust jacket

About this title

Synopsis

The subject of rainfall-runoff modeling involves a wide spectrum of topics. Fundamental to each topic is the problem of accurately computing runoff at a point given rainfall data at another point. The fact that there is currently no one universally accepted approach to computing runoff, given rainfall data, indicates that a purely deter­ ministic solution to the problem has not yet been found. The technology employed in the modern rainfall-runoff models has evolved substantially over the last two decades, with computer models becoming increasingly more complex in their detail of describing the hydrologic and hydraulic processes which occur in the catchment. But despite the advances in including this additional detail, the level of error in runoff estimates (given rainfall) does not seem to be significantly changed with increasing model complexity; in fact it is not uncommon for the model's level of accuracy to deteriorate with increasing complexity. In a latter section of this chapter, a literature review of the state-of-the-art in rainfall-runoff modeling is compiled which includes many of the concerns noted by rainfall-runoff modelers. The review indicates that there is still no deterministic solution to the rainfall-runoff modeling problem, and that the error in runoff estimates produced from rainfall-runoff models is of such magnitude that they should not be simply ignored.