2021
DOI: 10.1016/j.matpr.2020.08.706
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Numerical model for primary and secondary air pollutants emitted from an area and point source in an urban area with chemical reaction and removal mechanisms

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Cited by 6 publications
(4 citation statements)
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“…When settling of larger particles is negligible, it can be seen from the figure(1) that the concentration is higher in the lower part of the boundary layer and the concentration decreased in the upper part of the mixing layer.In figure (2) under stable atmospheric condition, in the lower part of the boundary layer the concentration of the air pollution decreased as the surface roughness length increased and the same thing happened in the upper part of the mixing layer. In figure (1) and (3) for same surface roughness length, at the bottom of the surface layer the pollutant concentration is more in figure (1) when compare to figure (3), this is because of stable atmospheric condition.…”
Section: Resultsmentioning
confidence: 78%
See 1 more Smart Citation
“…When settling of larger particles is negligible, it can be seen from the figure(1) that the concentration is higher in the lower part of the boundary layer and the concentration decreased in the upper part of the mixing layer.In figure (2) under stable atmospheric condition, in the lower part of the boundary layer the concentration of the air pollution decreased as the surface roughness length increased and the same thing happened in the upper part of the mixing layer. In figure (1) and (3) for same surface roughness length, at the bottom of the surface layer the pollutant concentration is more in figure (1) when compare to figure (3), this is because of stable atmospheric condition.…”
Section: Resultsmentioning
confidence: 78%
“…Source height for all graphs is d s =0.7. Figures (1) to (7) are the plot of nondimensional horizontal concentration profiles along non-dimensional vertical height.…”
Section: Solution Of Our Modelmentioning
confidence: 99%
“…The computational domain is represented by Ω and it is within ABL. Classical (integer-order) atmospheric dispersion problems both with constant and non-constant eddy diffusivity and wind speed profiles are well studied in the literature [1,4,11,[13][14][15][16][22][23][24][25][26][27][28]. The effect of the boundary degeneration, arising from power-law modeling using the Monin-Obukhov [29] similarity theory and its impact on the accuracy of the numerical solution, is not sufficiently investigated.…”
Section: Introductionmentioning
confidence: 99%
“…The monotonicity-and positivity-preserving properties of the solution are also discussed. In [23], the authors numerically study a problem, modeling the secondary and primary pollutants and their removal mechanism in the city region. A fitted finite volume method for solving classical air pollution models with space degenerate diffusion is constructed and analyzed in [28,30].…”
Section: Introductionmentioning
confidence: 99%