Computing Pollution
Computers are being used in applications that gauge the pollution in the air and water and other areas of the earth environment. These applications are useful in determining the source of the pollution and in assisting in informing researchers what might be done to reduce such pollution.
Air Pollution Emission
One such application in computing pollution is described in the work of Emad, Sayed, and Kassem (nd)[footnoteRef:1] who report that smoke is one common source of air pollution. Specifically stated is that the "rising process of smoke depends on atmospheric ambient, meteorological conditions, emission parameters, such as the atmospheric stratification, initial emission momentum and temperature, wind direction and speed as well as turbulent behaviors, and so on." (Emad, Sayed, and Kassem, nd, p.1) The smoke dilution process and scope are of great interest to environmentalists since regional air quality is affected critically by dispersion of pollutants. Reported as a key tool in screenings of vehicular exhaust emissions (VEESs) is that of 'line source emission modeling' as it assists in the management and control of such emissions in the urban environment. (Emad, Sayed, and Kassem, nd, paraphrased) [1: Emad, AA., Sayed, M.E., and Kassem K.O. (nd) Computer Simulation for Dispersion of Air Pollution Released from a Line Source According to Gaussian Model. Canadian Journal on Computing in Mathematics, Natural Sciences, Engineering & Medicine Vol. 1, No. 3, April 2010. Online available at: http://ampublisher.com/April%202010/CMNSEM-1004-013.pdf. ]
II. IPython Parallel Computing
The work of Hemann and Granger (nd) entitled "Parallel Computing with IPython: An Application to Air Pollution Modeling" reports that IPython has two main components which are those of:
(1) an enhanced interactive Python shell; and (2) a framework for interactive parallel computing.[footnoteRef:2] [2: Hemann, J. And Granger,...
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