A Review of Void Drift Models in Subchannel Analysis

2018 ◽  
Vol 193 (1-2) ◽  
pp. 33-45
Author(s):  
Hu Mao ◽  
Bao-Wen Yang ◽  
Sipeng Wang
2020 ◽  
Vol 499 (2) ◽  
pp. 1531-1560
Author(s):  
Christer Sandin ◽  
Lars Mattsson

ABSTRACT Stellar winds of cool carbon stars enrich the interstellar medium with significant amounts of carbon and dust. We present a study of the influence of two-fluid flow on winds where we add descriptions of frequency-dependent radiative transfer (RT). Our radiation hydrodynamic models in addition include stellar pulsations, grain growth and ablation, gas-to-dust drift using one mean grain size, dust extinction based on both the small particle limit (SPL) and Mie scattering, and an accurate numerical scheme. We calculate models at high spatial resolution using 1024 gridpoints and solar metallicities at 319 frequencies, and we discern effects of drift by comparing drift models to non-drift models. Our results show differences of up to 1000 per cent in comparison to extant results. Mass-loss rates and wind velocities of drift models are typically, but not always, lower than in non-drift models. Differences are larger when Mie scattering is used instead of the SPL. Amongst other properties, the mass-loss rates of the gas and dust, dust-to-gas density ratio, and wind velocity show an exponential dependence on the dust-to-gas speed ratio. Yields of dust in the least massive winds increase by a factor 4 when drift is used. We find drift velocities in the range $10\!-\!67\, \mbox{km}\, \mbox{s}^{-1}$, which is drastically higher than in our earlier works that use grey RT. It is necessary to include an estimate of drift velocities to reproduce high yields of dust and low wind velocities.


2021 ◽  
Vol 134 ◽  
pp. 103671
Author(s):  
Minyang Gui ◽  
Wenxi Tian ◽  
Di Wu ◽  
Ronghua Chen ◽  
Mingjun Wang ◽  
...  

1995 ◽  
Vol 112 (3) ◽  
pp. 355-358
Author(s):  
Gregg B. Swindlehurst
Keyword(s):  

2021 ◽  
Author(s):  
Quentin Gunti ◽  
Anne Vallette ◽  
Fatimatou Coulibaly

<p>It has been considered for quite a while that rivers, coastal outlets and flytipping are the main input contributors to Marine litter. After their discharge into the sea, litter is then transported by currents and wind while sunk and/or disintegrated into micro marine litter, some pieces finishing their course at the coast where they wash ashore. Thanks to a Copernicus Marine Environment Monitoring Service (CMEMS) grant, ARGANS Ltd has developed a web-based service, called Litter-TEP, that aims to track marine litter from their source. The service is based on two segments, one Land unit and one Ocean unit, and the issue is with the former: The Land component is made of a parametric model of riverine macro litter discharge at sea which is based on hydrological information and socio-economics data. It feeds the Ocean unit, with drift models using ocean current, wave and wind forecasts from CMEMS to provide a 5-day running forecast of macro-litter density in the sea, potential beach stranding at the coast and, inversely, where a beach litter event is identified to provide the likelihood of where the litter entered the sea. Yet, by lack of real-time land hydrological data from free & public sources, the land-litter input model currently implemented in the service only relies on hydrological information from statistics based on 30 years of daily rivers flow data. Nota: if the hydrological data (river flows) is in open access for the European rivers on the Copernicus service, it is with a 30-day delay. To mitigate this shortage, we have implemented a water discharge model as a prototype; it is based on HYPE v.5.11.2 from SMHI to calculate daily estimation of rivers flow from near real time rainfall (from NASA) & temperature data (from all national Met Offices) and thus to link the volume of litter coming into the sea to Meteorological events to have better estimates of litter’s volume brought into the sea. The model has been validated for Ireland and is currently parametrized for other countries and regions. It shall be implemented in the next version of the LITTER-TEP.</p>


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