A novel method is proposed to quantify the impact of natural sources, such as mineral dust from northern Africa, on the PM10 concentrations at ground level. The experiment has been carried out for the Convergence Regions of southern Italy in the framework of the I-AMICA project, as part of the National Operative Programme (PON) funded by MIUR and by the European Union. Ground based (i.e. PM10, PM2.5) and satellite measurements (i.e. MODIS and CALIPSO), as well as numerical models (i.e. WRF/CHIMERE/AODEM) are used. As reported in recent literature (Viana et al., 2010, Salvador et al., 2011) qualitative and quantitative methodologies have been developed during the last decade. In this work both of them are adopted to recognize the PM10 exceedances due to mineral dust not locally emitted (European Directive 2008/50/EC) hence ascribable to Saharan Dust Events (SDEs). As established for the already existing methods, even for this method, only background measurement stations have been considered. The originality is in the statistical treatment of data set. Basically, ANOVA statistical analysis coupled with quantile regression and PM10/PM2.5 ratio are considered. Whereas for the methodology currently adopted by European Commission the knowledge of each SDE is required before calculating the net African dust load, the method proposed here ingests the PM time series and provides (i) the list of SDE and (ii) the quantitative contribution of each of them on PM10 levels.
Quantification of Natural Contribution On PM10 Exceedances: A Novel Method Developed In The Framework Of I-AMICA Project
Laureline Bourcier;Paolo Cristofanelli;Angela Marinoni;Maurizio Busetto;Francesco Cairo;Paolo Bonasoni
2013
Abstract
A novel method is proposed to quantify the impact of natural sources, such as mineral dust from northern Africa, on the PM10 concentrations at ground level. The experiment has been carried out for the Convergence Regions of southern Italy in the framework of the I-AMICA project, as part of the National Operative Programme (PON) funded by MIUR and by the European Union. Ground based (i.e. PM10, PM2.5) and satellite measurements (i.e. MODIS and CALIPSO), as well as numerical models (i.e. WRF/CHIMERE/AODEM) are used. As reported in recent literature (Viana et al., 2010, Salvador et al., 2011) qualitative and quantitative methodologies have been developed during the last decade. In this work both of them are adopted to recognize the PM10 exceedances due to mineral dust not locally emitted (European Directive 2008/50/EC) hence ascribable to Saharan Dust Events (SDEs). As established for the already existing methods, even for this method, only background measurement stations have been considered. The originality is in the statistical treatment of data set. Basically, ANOVA statistical analysis coupled with quantile regression and PM10/PM2.5 ratio are considered. Whereas for the methodology currently adopted by European Commission the knowledge of each SDE is required before calculating the net African dust load, the method proposed here ingests the PM time series and provides (i) the list of SDE and (ii) the quantitative contribution of each of them on PM10 levels.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
