Title: Relation of earth probe TOMS/AI data and ground level measured atmospheric aerosols over Marmara region
Authors: Ferhat Karaca, Omar Alagha
Addresses: Department of Environmental Engineering, Fatih University, Buyukcekmece, Istanbul 34500, Turkey. ' Department of Environmental Engineering, Fatih University, Buyukcekmece, Istanbul 34500, Turkey
Abstract: The main aim of this study is to statistically investigate the correlation between TOMS/Aerosol Index (AI) remote sensing particulate data and Ground Level (GL) aerosol concentrations. GL fine and coarse particles are collected from watershed area of Buyukcekmece at Marmara region in Istanbul, Turkey (41°0.04′ N; 28°0.59′ E). Randomly collected, 24 hr GL samples are statistically compared with the two years (2002-2003) TOMS/AI data. It is found that there is a significant relationship (R² = 0.47, p < 0.001) between TOMS/AI data and wintertime GL aerosols. The relation of TOMS/AI data and GL aerosol data are modelled using curvilinear models. Very good agreements between the data sets are obtained. The obtained models are first level exponential model and third level polynominal model for TOMS/AI versus fine and TOMS/AI versus coarse data. R-square values of the models are calculated as 0.92 and 0.67, respectively.
Keywords: air pollution; modelling; optical depth; Marmara; PM2.5; PM10; air quality; atmospheric aerosols; Turkey.
International Journal of Environment and Pollution, 2009 Vol.36 No.1/2/3, pp.195 - 203
Published online: 05 Dec 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article