Andere Kunden interessierten sich auch für
![Ripartizione delle fonti di PM2.5 a Milano secondo il modello del recettore PMF]( "Ripartizione delle fonti di PM2.5 a Milano secondo il modello del recettore PMF")
Ripartizione delle fonti di PM2.5 a Milano secondo il modello del recettore PMF26,99 €![Repartição da fonte de PM2.5 em Milão por Modelo de Receptor PMF]( "Repartição da fonte de PM2.5 em Milão por Modelo de Receptor PMF")
Repartição da fonte de PM2.5 em Milão por Modelo de Receptor PMF26,99 €![Répartition des sources de PM2.5 à Milan par le modèle de récepteur PMF]( "Répartition des sources de PM2.5 à Milan par le modèle de récepteur PMF")
Répartition des sources de PM2.5 à Milan par le modèle de récepteur PMF26,99 €![Quellenzuordnung von PM2.5 in Mailand durch das PMF-Rezeptor-Modell]( "Quellenzuordnung von PM2.5 in Mailand durch das PMF-Rezeptor-Modell")
Quellenzuordnung von PM2.5 in Mailand durch das PMF-Rezeptor-Modell39,90 €![Raspredelenie istochnikow PM2.5 w Milane s pomosch'ü modeli receptorow PMF]( "Raspredelenie istochnikow PM2.5 w Milane s pomosch'ü modeli receptorow PMF")
Raspredelenie istochnikow PM2.5 w Milane s pomosch'ü modeli receptorow PMF26,99 €![Distribución de las fuentes de PM2.5 en Milán mediante el modelo de receptores PMF]( "Distribución de las fuentes de PM2.5 en Milán mediante el modelo de receptores PMF")
Distribución de las fuentes de PM2.5 en Milán mediante el modelo de receptores PMF29,99 €![Time Series Model Building On Climate Data In Sylhet]( "Time Series Model Building On Climate Data In Sylhet")
Time Series Model Building On Climate Data In Sylhet50,99 €
This case study discusses the application of a multivariate receptor model, the EPA PMF 5.0 to the PM2.5 dataset from Lombardy region in Italy. The aim of the study is to perform source apportionment investigation of the applied dataset and identify different PM2.5 sources that greatly impact the composition of particulate matter in the studied region. PMF model evaluates contribution to diverse source types of measured PM2.5 concentrations by investigating chemical composition of ambient pollution samples. As a type of receptor models, PMF used as an input data, PM concentrations and their relative chemical specification and provides as an outcome the number of sources, their composition and the source contributions. The analysis of total annual PM2.5 mass concentration revealed presence of 6 sources (secondary sulfate, traffic non-exhaust, biomass combustion/break wear, domestic heating, re-suspended soil dust and secondary nitrate).