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A stochastic model for sediment yield using the Principle of Maximum Entropy

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Title: A stochastic model for sediment yield using the Principle of Maximum Entropy
Author: Singh, V. P.; Krstanovic, P. F.
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.
Publisher: American Geophysical Union
Department: Civil Engineering
Biological and Agricultural Engineering
URI: http://dx.doi.org/10.1029/WR023i005p00781
Date: 1987-05

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.

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