Accounting for variation in rainfall intensity and surface slope in wash-off model calibration and prediction within the Bayesian framework

Muthusamy, M., Wani, O., Schellart, A. et al. (1 more author) (2018) Accounting for variation in rainfall intensity and surface slope in wash-off model calibration and prediction within the Bayesian framework. Water Research, 143. pp. 561-569. ISSN 0043-1354

Abstract

Metadata

Authors/Creators:
  • Muthusamy, M.
  • Wani, O.
  • Schellart, A.
  • Tait, S.
Copyright, Publisher and Additional Information: © 2018 Elsevier. This is an author produced version of a paper subsequently published in Water Research. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Autoregressive error model; Bayesian framework; Model structure; Sediment wash-off
Dates:
  • Published: 15 October 2018
  • Published (online): 12 June 2018
  • Accepted: 11 June 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield)
Funding Information:
FunderGrant number
EUROPEAN COMMISSION - FP6/FP7QUICS 607000
Depositing User: Symplectic Sheffield
Date Deposited: 31 Jul 2018 10:25
Last Modified: 12 Jun 2019 00:44
Published Version: https://doi.org/10.1016/j.watres.2018.06.022
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.watres.2018.06.022
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