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dc.creatorSingh, V. P.
dc.creatorKrstanovic, P. F.
dc.date.accessioned2011-03-30T17:07:16Z
dc.date.available2011-03-30T17:07:16Z
dc.date.issued1987-05
dc.identifier.citationSingh, V. P., and P. F. Krstanovic (1987), A stochastic model for sediment yield using the Principle of Maximum Entropy, Water Resources. Research, 23(5), doi:10.1029/WR023i005p00781. To view the published open abstract, go to http://dx.doi.org and enter the DOI.en
dc.identifier.issn0043-1397
dc.identifier.urihttp://dx.doi.org/10.1029/WR023i005p00781
dc.identifier.urihttp://hdl.handle.net/1969.1/94162
dc.descriptionAn edited version of this paper was published by AGU. Copyright 1987 American Geophysical Union.en
dc.description.abstractThe principle of maximum entropy was applied to derive a stochastic model for sediment yield from upland watersheds. By maximizing the conditional entropy subject to certain constraints, a probability distribution of sediment yield conditioned on the probability distribution of direct runoff volume was obtained. This distribution resulted in minimally prejudiced assignment of probabilities on the basis of given information. The parameters of this distribution were determined from such prior information about the direct runoff volume and sediment yield as their means and covariance. The stochastic model was verified by using three sets of field data and was compared with a bivariate normal distribution. The model yielded sediment yield reasonably accurately.en
dc.description.sponsorshipThis study was supported in part by funds provided by the Geological Survey, U.S. Department of Agriculture, through the Louisiana Water Resources Research Institute, under the project, A Multivariate Stochastic Analysis of Flood Magnitude, Duration and Volume.en
dc.language.isoen
dc.publisherAmerican Geophysical Unionen
dc.titleA stochastic model for sediment yield using the Principle of Maximum Entropyen
dc.typeArticleen
local.departmentCivil Engineeringen
local.departmentBiological and Agricultural Engineeringen


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