American Journal of Systems and Software
ISSN (Print): 2372-708X ISSN (Online): 2372-7071 Website: http://www.sciepub.com/journal/ajss Editor-in-chief: Josué-Antonio Nescolarde-Selva
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American Journal of Systems and Software. 2016, 4(2), 40-45
DOI: 10.12691/ajss-4-2-2
Open AccessArticle

Transport of Atmospheric Pollutants in West Mediterranean Areas: Mathematical Model

Josué-Antonio Nescolarde-Selva1, 2, , José-Luis Usó-Doménech1 and Meng Fan2

1Department of Applied Mathematics, University of Alicante, Alicante, Spain

2School of Mathematics and Statistics, Northeast Normal University, Changchun, China

Pub. Date: August 08, 2016

Cite this paper:
Josué-Antonio Nescolarde-Selva, José-Luis Usó-Doménech and Meng Fan. Transport of Atmospheric Pollutants in West Mediterranean Areas: Mathematical Model. American Journal of Systems and Software. 2016; 4(2):40-45. doi: 10.12691/ajss-4-2-2

Abstract

The main objective of this paper is to present a mass conservative method for solving the one-dimensional equation of atmospheric pollutants transport, based on a finite volume method. In order to avoid numerical diffusion a trapezoid rule with a linear interpolation in the extremes of cells is used to approximate integrals. Air pollution problems can be treated by several techniques, we have used a spatial and time uniform grid, numerical results has been implemented in the computer program ATPOTRANS (Atmospheric Pollutants Transport).

Keywords:
atmospheric pollutants eulerian model finite volume schemes grid nodes numerical schemes

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References:

[1]  Barry, R.G. and Chorley, R.J. 1987. Atmosphere, Weather and Climate. Methuen. New York.
 
[2]  EMEP. 1990. Calculated budgets of airborne sulphur and nitrogen over Europe. EMEP Report MSC-W 2/90.
 
[3]  Erbrink, J.J. 1991. A practical model for the calculation of σy and σz for use in an on-line Gaussian dispersion model for tall stacks, based on wind fluctuations. Atmospheric Environment. Vol 25A, 2, pp 277-283.
 
[4]  Giorgi, F., 2006, Climate change hot-spots. Geophysical Research Letters 33(8), pp. L08707.
 
[5]  Hagler, G. S. W., Tang, W. 2016. Simulation of rail yard emissions transport to the near-source environment. Atmospheric Pollution Research. 7(3). pp. 469-476.
 
[6]  Hough A.M, Derwent R.G. 1990. Changes in the global concentration of tropospheric ozone due to human activities. Nature, 344, pp 645-648.
 
[7]  Ikeda, T. 1983. Maximum principle in finite element models for convection diffusion phenomena. North Holland. New York.
 
[8]  Liu, Z., Wang, L., Zhu, H. 2015. A time–scaling property of air pollution indices: a case study of Shanghai, China. Atmospheric Pollution Research. 6(5). pp. 886-892.
 
[9]  Mignanego L., Biondi F., Schenone G. 1992. Ozone biomonitoring in northern Italy. Agriculture, Ecosystems and Environment, 21 , pp 141-159.
 
[10]  Millan, M.M., Artiano, B., Alonso, L., Navazo, M. and Castro, M. 1991. The effect of meso-scale flows on regional and long-range atmospheric transport in the western Mediterranean area. Atmospheric Environment. Vol 25A, 5/6, pp 949-963.
 
[11]  Treshow M. (ed.). 1984. Air pollution and plant life. John Wiley & Sons, Chichester, New York.
 
[12]  Volz A., Kley D. 1988. Evaluation of the Montsouris series of ozone measurements made in the nineteenth century. Nature, 332, pp 240-242.
 
[13]  Westman W.E. 1985. Air pollution injury to coastal sage scrub in the Santa Monica Mountains, Southern California. Water, Air, and Soil Pollution, 26, pp 19-41.