A statistical riverine litter propagation model

Balas, CE
Williams, AT
Simmons, SL
Ergin, Ayşen
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.


Extending Voronoi-diagram based modeling of oil slick spreading to surface tension-viscous spreading regime
Durgut, İsmail; Reed, Mark (Elsevier BV, 2020-11-01)
An earlier paper demonstrated a methodology for modeling the spreading process with a Gaussian random walk procedure, but was limited to the gravity-viscous spreading regime. Here we extend the methodology of re-presenting spread and transport of oil slicks on calm sea surface by updated Voronoi diagrams to account for the surface tension-viscous spreading regime as well. We have utilized the analogy between diffusion and spreading processes by defining a step length for the particle-based random walk schem...
Parameterization of iron and manganese cycling in the Black Sea suboxic and anoxic environment
Konovalov, S; Samodurov, A; Oguz, T; Ivanov, L (Elsevier BV, 2004-12-01)
New and published data on the distribution and speciation of manganese and iron in seawater are analyzed to identify and parameterize major biogeochemical processes of their cycling within the suboxic (similar to15.6less than or equal tosigma(t)less than or equal tosimilar to16.2) and anoxic layers (sigma(t)less than or equal tosimilar to16.2) of the Black Sea. A steady-state transport-reaction model is applied to reveal layering and parameterize kinetics of redox and dissolution/precipitation processes. Pr...
AVSAR, D (Elsevier BV, 1994-04-01)
Stock differentiation studies of sprat (Sprattus sprattus phalericus Risso) from the Black Sea coast of Turkey have been carried out morphometrically and meristically applying the generalised distance of Mahalanobis (GDM) and also physiologically using three-level nested ANOVA (TLNA). Fifteen morphometric measurements, together with nine meristic counts and fat concentration of wet tissues of sprat have been used in the analyses of GDM and TLNA, respectively. Insufficient differences in general phenotypic, ...
Assessment of temporal variation and sources of PCBs in the sediments of Mediterranean Sea, Mersin Bay, Turkey
Gedik, Kadir; İmamoğlu, İpek (Elsevier BV, 2011-01-01)
Information on temporal distribution of polychlorinated biphenyls (PCBs) in the coastal sediments of Mediterranean Sea, Mersin was compiled using data published between 1980 and 2009, and the present study. The first congener specific PCB results from the region yield concentration levels of Sigma(41) PCBs in sediments ranging from 0.61 to 1.04 ng g(-1). Sediment profiles show penta-, hexa- and hepta-chlorobiphenyls, specifically, #149 and 153 as the most abundant congeners in all samples. Comparison of tot...
Modeling spreading of oil slicks based on random walk methods and Voronoi diagrams
Durgut, İsmail (Elsevier BV, 2017-05-15)
We introduce a methodology for representation of a surface oil slick using a Voronoi diagram updated at each time step. The Voronoi cells scale the Gaussian random walk procedure representing the spreading process by individual particle stepping. The step length of stochastically moving particles is based on a theoretical model of the spreading process, establishing a relationship between the step length of diffusive spreading and the thickness of the slick at the particle locations. The Voronoi tessellatio...
Citation Formats
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.