Additional information is available at the end of the chapter © 2013 Hadjimitsis et al.; licensee InTech. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ered. Data sets from three types of sites (urban, near urban and rural) were used to develop a statistical model for the estimation of PM mass concentrations using AOT measured from remote sensing techniques and meteorological parameters. Furthermore, the ground truth observations collected within AIRSPACE project were used to assess qualitative and quantitative performance of a chemical model forecast of PM concentrations throughout Cyprus. Midletton et al. (2008) reported that in Nicosia, Cyprus for every 10-μg/m 3 increase in PM 10 daily average concentrations there was a 0.9% (95%CI: 0.6%, 1.2%) increase in all-cause and 1.2% (95%CI: -0.0%, 2.4%) increase in cardiovascular admissions. A recent study regarding dust storm events in Nicosia, Cyprus, found a 2.43% (95% CI: 0.53, 4.37) increase in daily cardiovascular mortality associated with each 10-μg/m 3 increase in PM 10 concentrations on dust days in comparison with non-dust days (Neophytou et al., 2013).