Publications

Grguric, Sanja; Krizan, Josip; Gasparac, Goran; Antonic, Oleg; Spiric, Zdravko; Mamouri, Rodelise E.; Christodoulou, A.; Nisantzi, Argyro; Agapiou, Athos; Themistocleous, Kyriakos; Fedra, Kurt; Panayiotou, Charalambos; Hadjimitsis, Diofantos (2014). Relationship between MODIS based Aerosol Optical Depth and PM10 over Croatia. CENTRAL EUROPEAN JOURNAL OF GEOSCIENCES, 6(1), 2-16.

Abstract
This study analyzes the relationship between Aerosol Optical Depth (AOD) obtained from Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) and ground-based PM10 mass concentration distribution over a period of 5 years (2008-2012), and investigates the applicability of satellite AOD data for ground PM10 mapping for the Croatian territory. Many studies have shown that satellite AOD data are correlated to ground-based PM mass concentration. However, the relationship between AOD and PM is not explicit and there are unknowns that cause uncertainties in this relationship.The relationship between MODIS AOD and ground-based PM10 has been studied on the basis of a large data set where daily averaged PM10 data from the 12 air quality stations across Croatia over the 5 year period are correlated with AODs retrieved from MODIS Terra and Aqua. A database was developed to associate coincident MODIS AOD (independent) and PM10 data (dependent variable). Additional tested independent variables (predictors, estimators) included season, cloud fraction, and meteorological parameters - including temperature, air pressure, relative humidity, wind speed, wind direction, as well as planetary boundary layer height - using meteorological data from WRF (Weather Research and Forecast) model.It has been found that 1) a univariate linear regression model fails at explaining the data variability well which suggests nonlinearity of the AOD-PM10 relationship, and 2) explanation of data variability can be improved with multivariate linear modeling and a neural network approach, using additional independent variables.

DOI:
10.2478/s13533-012-0135-6

ISSN:
2081-9900; 1896-1517