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

Ferhat Karaca, Omar Alagha

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

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 Büyükçekmece 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.

Original languageEnglish
Pages (from-to)195-203
Number of pages9
JournalInternational Journal of Environment and Pollution
Volume36
Issue number1-3
DOIs
Publication statusPublished - Jan 1 2009
Externally publishedYes

Keywords

  • Air pollution
  • Marmara
  • Modelling
  • Optical depth
  • PM

ASJC Scopus subject areas

  • Waste Management and Disposal
  • Pollution
  • Management, Monitoring, Policy and Law

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