A maximum entropy view of probability-distributed catchment models

Research output: Contribution to journalArticle

Abstract

The distribution of water within a catchment is treated as a problem of statistical inference and resolved using an entropy maximization technique. A simple runoff generating mechanism is employed, which, together with the catchment mass balance equation, yields a catchment model involving just one dynamic parameter, y, and two constants, k and ?. The parameter y determines the temporal variation of catchment storage V and runoff q. The latter is nonlinearly related to V through q=k(1-?yV), where y provides the nonlinear departure from the simple linear reservoir q=kV. -Author

Original languageEnglish
Pages (from-to)123-134
Number of pages12
JournalHydrological Sciences Journal
Volume36
Issue number2
Publication statusPublished - 1991

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entropy
catchment
runoff
mass balance
temporal variation
water
parameter

Cite this

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title = "A maximum entropy view of probability-distributed catchment models",
abstract = "The distribution of water within a catchment is treated as a problem of statistical inference and resolved using an entropy maximization technique. A simple runoff generating mechanism is employed, which, together with the catchment mass balance equation, yields a catchment model involving just one dynamic parameter, y, and two constants, k and ?. The parameter y determines the temporal variation of catchment storage V and runoff q. The latter is nonlinearly related to V through q=k(1-?yV), where y provides the nonlinear departure from the simple linear reservoir q=kV. -Author",
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A maximum entropy view of probability-distributed catchment models. / Jowitt, P. W.

In: Hydrological Sciences Journal, Vol. 36, No. 2, 1991, p. 123-134.

Research output: Contribution to journalArticle

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AB - The distribution of water within a catchment is treated as a problem of statistical inference and resolved using an entropy maximization technique. A simple runoff generating mechanism is employed, which, together with the catchment mass balance equation, yields a catchment model involving just one dynamic parameter, y, and two constants, k and ?. The parameter y determines the temporal variation of catchment storage V and runoff q. The latter is nonlinearly related to V through q=k(1-?yV), where y provides the nonlinear departure from the simple linear reservoir q=kV. -Author

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