Methodologies for data mining and modeling of atmospheric pollutants

Author

Yassin, M.F. ; Gebali, Fayez

Author_Institution

Env. Tech. Manage., Univ. of Kuwait, Safat, Kuwait

fYear

2009

fDate

17-19 March 2009

Firstpage

1

Lastpage

9

Abstract

A datacube model for atmospheric pollutants is presented in this work. The value of interest is flux of pollutant deposition versus several attributes such as pollutant type, location, geographic scale, etc. We present also an analytical model for the effect of wind gusts on the pollutant distribution. The model takes into account random variations in wind speed and instrumentation noise. We consider the case of a figures neutrally buoyant plume emitted from an elevated point source in a turbulent boundary layer. The results show that wind turbulence is an important factor in the dispersion plume distribution and leads to spreading the distribution due to wind mixing.

Keywords

air pollution; atmospheric boundary layer; atmospheric turbulence; data mining; environmental science computing; geophysics computing; mixing; wind; analytical model; atmospheric pollutant modeling; data mining methods; datacube model; dispersion plume distribution; elevated point source; instrumentation noise effects; neutrally buoyant plume; pollutant attributes; pollutant deposition flux; pollutant distribution; turbulent boundary layer; wind gust effects; wind mixing; wind speed random variation effects; Atmospheric modeling; Data mining; Data models; Dispersion; Instruments; Mathematical model; Noise; Atmospheric turbulence; Concentration fluctuation; Numerical models; Point source; Wind Gusts;

fLanguage

English

Publisher

ieee

Conference_Titel

GCC Conference & Exhibition, 2009 5th IEEE

Conference_Location

Kuwait City

Print_ISBN

978-1-4244-3885-3

Type

conf

DOI

10.1109/IEEEGCC.2009.5734335

Filename

5734335