Literature DB >> 11763231

A statistical riverine litter propagation model.

C E Balas1, A T Williams, S L Simmons, A Ergin.   

Abstract

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 water-course 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.

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Year:  2001        PMID: 11763231     DOI: 10.1016/s0025-326x(01)00133-3

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  2 in total

1.  Sampling of riverine litter with citizen scientists--findings and recommendations.

Authors:  S Rech; V Macaya-Caquilpán; J F Pantoja; M M Rivadeneira; C Kroeger Campodónico; M Thiel
Journal:  Environ Monit Assess       Date:  2015-05-09       Impact factor: 2.513

2.  Detection and occurrence of microplastics in the stomach of commercial fish species from a municipal water supply lake in southwestern Nigeria.

Authors:  Aina O Adeogun; Oju R Ibor; Essa A Khan; Azubuike V Chukwuka; Emmanuel D Omogbemi; Augustine Arukwe
Journal:  Environ Sci Pollut Res Int       Date:  2020-05-12       Impact factor: 4.223

  2 in total

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