Now showing items 1-3 of 3
A new approach to prediction of SO2 and PM10 concentrations in Istanbul, Turkey: Cellular Neural Network (CNN)
(Taylor & Francis, 2011)
This article describes the application of a cellular neural network (CNN) to model air pollutants. In this study, forthcoming daily and hourly values of particulate matter (PM10) and sulphur dioxide (SO2) were predicted. ...
Application of cellular neural network (CNN) to the prediction of missing air pollutant data
For air-quality assessments in most major urban centers, air pollutants are monitored using continuous samplers. Sometimes data are not collected due to equipment failure or during equipment calibration. In this paper, we ...
Assessment of particulate matter in the urban atmosphere: size distribution, metal composition and source characterization using principal component analysis
(Royal Society of Chemistry, 2012)
In this study, the size distribution of airborne particles and related heavy metals Co, Cd, Sn, Cu, Ni, Cr, Pb and V in two urban areas in Istanbul: Yenibosna and Goztepe, were examined. The different inhalable particles ...