Environmental data analysis is one of the most important issue for assessing the impact of polluting agents in areas in which human activities have altered the standard natural development and evolution of air, water and ground. In particular, physical and chemical polluting agents need to be monitored and controlled, in order to reduce the dangers to human health due both to long term and to short term, but high level, exposures. In this paper, the attention will be mainly focused on the assessment and prediction of acoustical noise, and partially to air pollution data analysis. A review of some of the literature methods will be presented and two recent approaches will be sketched in the central section. The merging and intersection of more than one pollutant analysis will be finally discussed. In the author’s opinion, these techniques should be encouraged and represent the future perspectives of environmental data analysis. In fact, the possibility of performing a complex field measurement campaign, able to record more than one pollutant data, can help in building reliable models, based on advanced mathematical and physical methods.

Modelling and Simulation in Environmental Data Analysis

GUARNACCIA, CLAUDIO;QUARTIERI, Joseph
2014-01-01

Abstract

Environmental data analysis is one of the most important issue for assessing the impact of polluting agents in areas in which human activities have altered the standard natural development and evolution of air, water and ground. In particular, physical and chemical polluting agents need to be monitored and controlled, in order to reduce the dangers to human health due both to long term and to short term, but high level, exposures. In this paper, the attention will be mainly focused on the assessment and prediction of acoustical noise, and partially to air pollution data analysis. A review of some of the literature methods will be presented and two recent approaches will be sketched in the central section. The merging and intersection of more than one pollutant analysis will be finally discussed. In the author’s opinion, these techniques should be encouraged and represent the future perspectives of environmental data analysis. In fact, the possibility of performing a complex field measurement campaign, able to record more than one pollutant data, can help in building reliable models, based on advanced mathematical and physical methods.
2014
9789604743988
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4642834
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