Application of CMB Model to PM_(10) Data Collected in a Site of South Italy: Results and Comparison with APCS Model

摘要

Chemical mass balance modeling (CMB) was applied to determine the PM_(10) sources and their contributions. PM_(10) samples were collected in Lecce (40.338N, 18.108E, a town of South Italy), during two monitoring campaigns performed on July 2005 and February 2006. Nine source profiles and average mass concentration of the following chemical parameters: elemental carbon (EC), organic carbon (OC), chlorine (Cl~(-)), nitrate ((NO_(3))~(-)), sulfate ((SO_(4))~(2-)), sodium (Na~(+)), ammonium ((NH_(4))~(+)), potassium (K~(+)), magnesium (Mg~(2+)), calcium (Ca~(2+)), aluminum (Al), silicon (Si), titanium (Ti), vanadium (V), manganese (Mn), iron (Fe), copper (Cu), lead (Pb), and zinc (Zn) were used to run the CMB model. The results obtained by application of CMB_(8.2) are shown. The contributions to PM_(10) show that dominant contributor was traffic with 37percent followed by petroleum industry with 19percent and field burning with 16percent. Minor source contributions were marine aerosol (1percent), ammonium sulfate production (4percent), ammonium nitrate production (11percent), oil-fired power plant (0.1percent), gypsum handling (10percent) and crustal (2percent). Moreover, the Absolute Principal Component Scores (APCS) model was applied to the PM_(10) samples collected in order to find a correlation between the two source profile sets. With APCS model five source profiles were found and a good correlation (correlation coefficient bigger than 0.8) between crustal, marine, industrial profiles of CMB model and the corresponding ones of APCS model was found.