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A statistical riverine litter propagation model
Date
2001-11-01
Author
Balas, CE
Williams, AT
Simmons, SL
Ergin, Ayşen
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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A statistical riverine litter propagation (RLP) model based on importance sampling Monte Carlo (ISMC) simulation was developed in order to predict the frequency distribution of certain litter types in river reaches. The model was preliminarily calibrated for plastic sheeting by a pilot study conducted on the River Taff, Wales (UK). Litter movement was predominantly controlled by reach characteristics, such as vegetation overhang and watercourse obstructions. These affects were modeled in the simulations, by utilizing geometric distributions of river reaches in the time domain. The proposed model satisfactorily simulated the dosing experiments performed at the River Taff. It was concluded from the preliminary calibrations that, the RLP model can be efficiently utilized to portray litter propagation at any arbitrarily selected river site, provided that the stream flows and reach characteristics are calibrated by representative probability distributions of similar sections. Therefore, the RLP model can be considered as a new statistical technique that can predict litter propagation in river sections.
Subject Keywords
Aquatic Science
,
Pollution
,
Oceanography
URI
https://hdl.handle.net/11511/63308
Journal
MARINE POLLUTION BULLETIN
DOI
https://doi.org/10.1016/s0025-326x(01)00133-3
Collections
Department of Civil Engineering, Article
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C. Balas, A. Williams, S. Simmons, and A. Ergin, “A statistical riverine litter propagation model,”
MARINE POLLUTION BULLETIN
, pp. 1169–1176, 2001, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/63308.