The concentration of atmospheric pollutants in the Po Valley is renowned for its remarkably high levels, both for particulate and gaseous compounds. This analysis focussed on measurements of air pollutants from a background site in Modena, Po valley, Italy. These comprise hourly data for CO, NO, NO2, NOx, O3 and daily gravimetric equivalent data for PM10 from 1998 – 2010. The data are analysed in terms of long-term trends, and of annual, weekly and diurnal patterns. Auto-correlation and cross-correlation functions are also investigated. Influence of anthropogenic sources on pollutant concentration has been studied by checking the presence of weekly cycles on pollutants. Gaseous pollutant characteristic of vehicular traffic emissions (i.e. CO, NO and NO2) exhibit a daily pattern featured by peaks at morning and evening rush-hour and lower concentrations over the weekend. Ozone, whose annual pattern is typified by summer peak due to local production, did not show a significant variation in long term trend notwithstanding the significant decrease in NO over the decade. Regression models of PM10 upon NOx show a greater intercept in winter, representing higher secondary PM10 in the cooler months of the year, and a seasonal pattern in the PM10 to NOx ratio, with lower values in winter and higher in summer.

Long term trends and patterns of atmospheric pollutants in Modena, Po valley, Italy / Bigi, Alessandro; Ghermandi, Grazia; Cecchi, Rodolfo. - ELETTRONICO. - (2012), pp. 1-8. (Intervento presentato al convegno 11th Edtion Italian-Brazilian Symposium of Sanitary and Environmental Engineering tenutosi a Milano nel 26-29 June 2012).

Long term trends and patterns of atmospheric pollutants in Modena, Po valley, Italy

BIGI, Alessandro;GHERMANDI, Grazia;CECCHI, Rodolfo
2012

Abstract

The concentration of atmospheric pollutants in the Po Valley is renowned for its remarkably high levels, both for particulate and gaseous compounds. This analysis focussed on measurements of air pollutants from a background site in Modena, Po valley, Italy. These comprise hourly data for CO, NO, NO2, NOx, O3 and daily gravimetric equivalent data for PM10 from 1998 – 2010. The data are analysed in terms of long-term trends, and of annual, weekly and diurnal patterns. Auto-correlation and cross-correlation functions are also investigated. Influence of anthropogenic sources on pollutant concentration has been studied by checking the presence of weekly cycles on pollutants. Gaseous pollutant characteristic of vehicular traffic emissions (i.e. CO, NO and NO2) exhibit a daily pattern featured by peaks at morning and evening rush-hour and lower concentrations over the weekend. Ozone, whose annual pattern is typified by summer peak due to local production, did not show a significant variation in long term trend notwithstanding the significant decrease in NO over the decade. Regression models of PM10 upon NOx show a greater intercept in winter, representing higher secondary PM10 in the cooler months of the year, and a seasonal pattern in the PM10 to NOx ratio, with lower values in winter and higher in summer.
2012
11th Edtion Italian-Brazilian Symposium of Sanitary and Environmental Engineering
Milano
26-29 June 2012
1
8
Bigi, Alessandro; Ghermandi, Grazia; Cecchi, Rodolfo
Long term trends and patterns of atmospheric pollutants in Modena, Po valley, Italy / Bigi, Alessandro; Ghermandi, Grazia; Cecchi, Rodolfo. - ELETTRONICO. - (2012), pp. 1-8. (Intervento presentato al convegno 11th Edtion Italian-Brazilian Symposium of Sanitary and Environmental Engineering tenutosi a Milano nel 26-29 June 2012).
File in questo prodotto:
File Dimensione Formato  
Ghermandi2.pdf

Accesso riservato

Tipologia: Versione dell'autore revisionata e accettata per la pubblicazione
Dimensione 1.06 MB
Formato Adobe PDF
1.06 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/741734
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact