A stochastic model for sediment yield using the Principle of Maximum Entropy
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Date
1987-05
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Publisher
American Geophysical Union
Abstract
The 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.
Description
An edited version of this paper was published by AGU. Copyright 1987 American Geophysical Union.
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Citation
Singh, 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.