Relation of earth probe TOMS/AI data and ground level measured atmospheric aerosols over Marmara region

被引:2
作者
Karaca, Ferhat [1 ]
Alagha, Omar [1 ]
机构
[1] Fatih Univ, Dept Environm Engn, TR-34500 Istanbul, Turkey
关键词
air pollution; modelling; optical depth; Marmara; PM2.5; PM10; ISTANBUL; PM10;
D O I
10.1504/IJEP.2009.021826
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 degrees 0.04' N; 28 degrees 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 (R-2 = 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.
引用
收藏
页码:195 / 203
页数:9
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