Zobrazeno 1 - 5
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pro vyhledávání: '"Mark L. Schmelter"'
Publikováno v:
Journal of Marine Science and Engineering, Vol 3, Iss 3, Pp 1066-1092 (2015)
A Bayesian approach to sediment transport modeling can provide a strong basis for evaluating and propagating model uncertainty, which can be useful in transport applications. Previous work in developing and applying Bayesian sediment transport models
Externí odkaz:
https://doaj.org/article/c56821a983a647c7b98ceac70deb69b9
Autor:
David King Stevens, Mark L. Schmelter
Publikováno v:
Journal of Hydraulic Engineering. 139:336-340
The characterization of sediment transport is an important problem that has been actively studied for some time. Numerous approaches have been demonstrated in the literature, including mechanistic models, probabilistic arguments, machine learning alg
Publikováno v:
Geomorphology. :1-13
That sediment transport estimates have large uncertainty is widely acknowledged. When these estimates are used as the basis for a subsequent analysis, such as cumulative sediment loads or budgets, treatment of uncertainty requires careful considerati
Publikováno v:
Journal of Marine Science and Engineering
Volume 3
Issue 3
Pages 1066-1092
Journal of Marine Science and Engineering, Vol 3, Iss 3, Pp 1066-1092 (2015)
Volume 3
Issue 3
Pages 1066-1092
Journal of Marine Science and Engineering, Vol 3, Iss 3, Pp 1066-1092 (2015)
A Bayesian approach to sediment transport modeling can provide a strong basis for evaluating and propagating model uncertainty, which can be useful in transport applications. Previous work in developing and applying Bayesian sediment transport models
Publikováno v:
Water Resources Research. 47
[1] Fluvial sediment transport studies have long underscored the difficulty in reliably estimating transport model parameters, collecting accurate observations, and making predictions because of measurement error, natural variability, and conceptual