3D adaptive unstructured meshes for air pollution modelling

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Abstract
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Sarah Tomlin, Alison, et al. “3D Adaptive Unstructured Meshes for Air Pollution Modelling”. Environmental Management and Health, vol. 10, no. 4, 1999, pp. 267-75, https://doi.org/10.1108/09566169910276238.
Sarah Tomlin, A., Ghorai, S., Hart, G., & Berzins, M. (1999). 3D adaptive unstructured meshes for air pollution modelling. Environmental Management and Health, 10(4), 267-275. https://doi.org/10.1108/09566169910276238
Sarah Tomlin A, Ghorai S, Hart G, Berzins M. 3D adaptive unstructured meshes for air pollution modelling. Environmental Management and Health. 1999;10(4):267-75.
Description

To accurately forecast pollution episodes, how can air pollution models achieve high resolution? This article describes the use of 3D adaptive gridding models for pollution transport and reactions. High-resolution models are necessary to test abatement strategies for secondary pollutants like ozone and nitrogen dioxide. The models resolve interactions between point source plumes and regional pollution. Adaptive methods increase resolutions in regions of steep spatial gradients. Both a layered and a fully adaptive 3D tetrahedral approach are used. Examples show the effect of grid resolution on secondary pollutant formation, demonstrating the effectiveness of 3D adaptive gridding models.

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Citations Analysis
The first research to cite this article was titled A communication library for the parallelization of air quality models on structured grids and was published in 2002. The most recent citation comes from a 2013 study titled A communication library for the parallelization of air quality models on structured grids . This article reached its peak citation in 2002 , with 2 citations.It has been cited in 3 different journals. Among related journals, the International Journal for Numerical Methods in Fluids cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
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