Modeling of Air Pollution using MODIS Data: Khouzestan Dust storm

Authors

1 Department of RS & GIS, faculty of earth science, Shahid Chamran University, Ahvaz, Iran

2 Department of Geology, faculty of earth science, Shahid Chamran University, Ahvaz, Iran

3 Khozestan Regional Electricity Co., Ahvaz, Iran

4 Department of RS, Shahid Rajayee teacher training University, Tehran, Iran

Abstract

      Over the recent years the south west of IRAN including Khuzestan province has experienced high frequency of dust storm which led to a general decline in air quality, so the study of this phenomenon is very important. Using four month of  Deep Blue Aerosol Optical Depth(AOD) derived from Moderate Resolution Imaging Spectroradi-ometer(MODIS) on onboard NASA’s aqua satellite along with ground measurements of PM10 mass concentration measured at five sites located  in the Khuzestan province in 2009, the relationship between columnar AOD and hourly(HA) and daily average  (DA) PM were assessed. An empirical relationship between AOT and hourly and daily average PM10 mass is obtained and results show that there is an excellent correlation between satellite AOD and ground-Based hourly mean PM10 values with a linear correlation coefficient (R2) of 0.814. But MODIS AOD had a better positive Correlation with the coincident hourly average PM concentration than with DA. After correcting AOD for relative humidity (RH), the correlation did not improve significantly, suggesting that the RH was not the main factor affecting the correlation of PM with AOD in the first four month in Khuzestan.Experimental results demonstrate that the AOD product of MODIS is suitable for zoning of PM10 mass in south west of Iran in regional/local scale.
 
 

Keywords


Baddock.M.C., Bullard.J.E., Bryant.R.G., 2009, Dust source identification using MODIS: A comparison of techniques applied to the Lake Eyre Basin, Australia. Remote Sensing of Environment, vol:113, p:1511–1528
Chu.D.A., Kaufman.Y.J., Zibordi.G., Chern.J.D., Mao.J.T., Li.C.C., Holben.B.N., 2003, Global monitoring of air pollution over land from the Earth Observating System-Terra Moderate Resolution Imaging Spectroradiometer (MODIS), Journal of Geophysical Research, vol:108.
Guo.J.P., Zhang.X.Y., Che.H.Z., Gong.S.L., An.X., Cao.C.X., Guang.J., Zhang.H., Wang.Y.Q., Zhang.X.C., Xue.M., Li.X.W., 2009, Correlation between PM concentrations and aerosol optical depth in eastern China,  Atmospheric Environment, doi:10.1016/j.atmosenv.2009.08.026, (in press).
Gupta.P., Christopher.S.A., Wang.J., Gehrig.R., Lee.Y., Kumar.N., 2006, Satellite remote sensing of particulate matter and air quality assessment over global cities, Atmospheric Environment, vol:40, p:5880–5892
Hanel, G., 1976. The properties of atmospheric aerosol particles as functions of the relative humidity at thermodynamic equilibrium with the surrounding moist air. Advances in Geophysics 19, 73–188.
Horvath.H., 1996, Spectral extinction coefficients of rural aerosol in southern Italy– a case study of cause and effect of variability of atmospheric aerosol, Journal of Aerosol Science, vol:27, No:3, p:437–453.
Kaufman.Y.J., Tanre.D., Boucher.O., 2002, A satellite view of aerosols in the climate system, Nature, vol:419, p:215–223.
King.M.D., Kaufman.Y.J., Tanre.D., Nakajima.T., 1999, Remote sensing of tropo-spheric aerosols from space: past, present and future, Bulletin of the American Meteorological Society, vol:80, No:11, p:2229–2259.
Li.H., Farugue.F., Williams.W., Al-Hamdan.M., Luvall.J., Crosson.W., Rickman.D., Limaye.A., 2009, Optimal temporal scale for the correlation of AOD and ground measurements of PM2.5 in a real-time air quality estimation system, Atmospheric Environment, vol:43, p:4303–4310
McTainsh.G.H., & Strong.C.S., 2007, The role of Aeolian dust in ecosystems. Geomorphology, Vol:89, No:1–2, p:39-54.
Mishchenko.M.I., Geogdzhayev.I.V., Cairns.B., Carlson.B.E., Chowdhary.J., Lacis.A.A., Liu.L., Rossow.W.B., Travis.L.D., 2007, Past, present, and future of global aerosol climatologies derived from satellite observations: a perspective, Journal of Quantitative Spectroscopy and Radiative Transfer, Vol:106, p:325–347.
Randriamiarisoa, H., Chazette, P., Couvert, P., Sanak, J. and Megie, G. 2006, Relative humidity impact on aerosol parameters in a Paris suburban area, Atmospheric Chemistry and Physics, Vol 6, PP: 1389–1407,
Remer.L.A., Tanré.D., Kaufman.Y.J., 2006, Algorithm for remote sensing of  tropospheric aerosol from MODIS: Collection 005, http://modis.gsfc.nasa.gov
Wang.Z., Chen.L., Tao.J., Zhang.Y., Su.L., 2009, Satellite-based estimation of regional particulate matter (PM) in Beijing using vertical-and-RH correcting method, Remote Sensing of Environment, (in press)
WHO (World Health Organization(, 2000, Air quality guidelines for Europe (2nd Ed.), Chapter 7 WHO regional publications, European series, vol:91