vector transport
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2021 ◽  
Vol 9 ◽  
Author(s):  
Omowumi D. Agboola ◽  
Nsikak U. Benson

Microplastics, which serve as sources and vector transport of organic contaminants in both terrestrial and marine environments, are emerging micropollutants of increasing concerns due to their potential harmful impacts on the environment, biota and human health. Microplastic particles have a higher affinity for hydrophobic organic contaminants due to their high surface area-to-volume ratio, particularly in aqueous conditions. However, recent findings have shown that the concentrations of organic contaminants adsorbed on microplastic surfaces, as well as their fate through vector distribution and ecological risks, are largely influenced by prevailing environmental factors and physicochemical properties in the aquatic environment. Therefore, this review article draws on scientific literature to discuss inherent polymers typically used in plastics and their affinity for different organic contaminants, as well as the compositions, environmental factors, and polymeric properties that influence their variability in sorption capacities. Some of the specific points discussed are (a) an appraisal of microplastic types, composition and their fate and vector transport in the environment; (b) a critical assessment of sorption mechanisms and major polymeric factors influencing organic contaminants-micro (nano) plastics (MNPs) interactions; (c) an evaluation of the sorption capacities of organic chemical contaminants to MNPs in terms of polymeric sorption characteristics including hydrophobicity, Van der Waals forces, π–π bond, electrostatic, and hydrogen bond interactions; and (d) an overview of the sorption mechanisms and dynamics behind microplastics-organic contaminants interactions using kinetic and isothermal models. Furthermore, insights into future areas of research gaps have been highlighted.



2021 ◽  
Vol 149 ◽  
pp. 106367
Author(s):  
Thilakshani Atugoda ◽  
Meththika Vithanage ◽  
Hasintha Wijesekara ◽  
Nanthi Bolan ◽  
Ajit K. Sarmah ◽  
...  


Author(s):  
P. Narayanan ◽  
S. Ambrogio ◽  
A. Okazaki ◽  
K. Hosokawa ◽  
H. Tsai ◽  
...  
Keyword(s):  


2020 ◽  
Vol 19 ◽  
pp. 100971 ◽  
Author(s):  
Thilakshani Atugoda ◽  
Hasintha Wijesekara ◽  
D.R.I.B. Werellagama ◽  
K.B.S.N. Jinadasa ◽  
Nanthi S. Bolan ◽  
...  
Keyword(s):  


2019 ◽  
Vol 29 (2) ◽  
pp. 1444-1472 ◽  
Author(s):  
Hiroyuki Sato ◽  
Hiroyuki Kasai ◽  
Bamdev Mishra


2016 ◽  
Vol 144 (8) ◽  
pp. 2809-2829 ◽  
Author(s):  
Hugh Morrison ◽  
Anders A. Jensen ◽  
Jerry Y. Harrington ◽  
Jason A. Milbrandt

Abstract This paper discusses the advection of coupled hydrometeor quantities by air motion in atmospheric models. It is shown that any bulk property derived from a set of advected microphysical variables must meet certain conditions in order to be preserved during transport using linear or semilinear advection schemes when the property is initially uniform, with implications for physical consistency of the property. A new, efficient flux-based method for calculating hydrometeor advection, similar to vector transport applied previously in aerosol modeling, is also presented. In this method, called scaled flux vector transport (SFVT), lead scalars (the mass mixing ratios) are advected using the host model’s unmodified advection scheme and secondary scalars (e.g., number mixing ratios) are advected by appropriately scaling the lead scalar fluxes. By design, SFVT retains linear relationships between the advected scalars. Analytic tests reveal that mean errors using SFVT are similar to those incurred using the traditional approach of separately advecting each variable. SFVT is applied to the multimoment predicted particle properties bulk microphysics scheme in idealized two-dimensional squall-line simulations using the Weather Research and Forecasting Model. The computational cost in total wall clock run time is reduced by 10%–15% while producing solutions similar to the traditional approach. Thus, SFVT can reduce the overall cost of using multimoment bulk microphysics schemes, making them competitive with simpler schemes having fewer prognostic variables.



2009 ◽  
Vol 28 (2) ◽  
pp. 377-382 ◽  
Author(s):  
Emily A. Darbyson ◽  
John Mark Hanson ◽  
Andrea Locke ◽  
J. H. Martin Willison


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