Intelligent Data Analysis in Environmental Sampling

Data analysis assumes a fundamental role in the environmental sampling to evaluated atmospheric pollution. We present a study about the comparison between two techniques of interpretation data. The first one is based on data acquired in the sampling. The second one is based on sampling added with both meteorological analysis and traffic flow evaluation. Among different air polluting, we analysed the particulate matter pollution because of recent epidemiological studies have found out about an association between particulate matter concentration and negative effects on the health [1]. The goals of our study consists in demonstrating as a correct air quality control is carried out through the acquisition of intelligent data, that is the reason why only intelligent data can characterize this dynamic phenomenon.