Role of the Ionic Component and Carbon Fractions in the Fine and Coarse Fractions of Particulate Matter for the Identification of Pollution Sources: Application of Receptor Models

Autor: I. Cafagna, Alessia Di Gilio, B. E. Daresta, Pierina Ielpo, M. Amodio, C. M. Placentino, Gianluigi de Gennaro
Jazyk: angličtina
Rok vydání: 2011
Předmět:
Zdroj: Air Quality Monitoring, Assessment and Management
Air quality monitoring, assessment and management, edited by Nicolàs A. Mazzeo, pp. 109–136, 2011
info:cnr-pdr/source/autori:Pierina Ielpo, Claudia Marcella Placentino, Isabella Cafagna, Gianluigi de Gennaro, Martino Amodio, Barbara Elisabetta Daresta, Alessia Di Gilio/titolo:Role of the ionic component and carbon fractions in the fine and coarse fractions of particulate matter for the identification of pollution sources: application of receptor models/titolo_volume:Air quality monitoring, assessment and management/curatori_volume:Nicolàs A. Mazzeo/editore:/anno:2011
Popis: Particulate matter (PM) is a very complex mixture of many inorganic and organic compounds of primary and secondary origin and this is the main reason why the desired reduction of its concentration and the identification of its many sources constitute a very difficult task. It is widely recognised that atmospheric particles are responsible for adverse effects on the ecosystem, the climate and the health of human beings (Pope & Dockery, 2006). Epidemiological studies have shown a consistent association of the mass concentration of urban air thoracic particles (PM10 particles with an aerodynamic diameter smaller than 10 μm), and its sub-fraction fine particles (PM2.5 particles with an aerodynamic diameter smaller than 2.5 μm), with mortality and morbidity among cardio-respiratory patients (WHO, 2005). Recent studies indicate that PM10 is associated to respiratory responses while PM2.5 may contribute to cardiovascular diseases (Wyzga, 2002). The chemical characteristics of the particulate fractions and biological mechanisms responsible for these adverse health effects are still unknown as well as the aerosol parameters (mass, particle size, surface area, etc) involved in the health impacts (Hauck et al., 2004). In addition, there is an indication that the increase in the atmospheric aerosol burden delays the global warming attributed to the increase in greenhouse gasses (GHG: CO2, CH4, N2O, halocarbons). Whether the increase in GHGs since preindustrial times is producing a warming of 2.3 Wm,anthropogenic contributions to aerosols (primarily sulphate, organic carbon, black carbon, nitrate and dust) together produce a cooling effect, with a total direct radiative forcing of -0.5 Wm2 and an indirect cloud albedo forcing of -0.7 Wm (IPCC, 2007). In recent years many studies have been carried out to determine the chemical composition of atmospheric particulate matter (Vecchi et al., 2007). Most of these studies were devoted to the identification of the main particle sources, with the purpose to identify viable strategies for their reduction. In this chapter we focus the attention mostly on the ionic component of
Databáze: OpenAIRE