Assessment of air pollution sources in an industrial atmosphere using principal component and multilinear regression analysis.

摘要: Aerosol samples collected in the industrial area of Estarreja, Portugal, were used to assess source classes responsible for particulate levels observed local atmosphere. Principal Component Analysis was applied separately concentrations aerosol constituents and meteorological variables obtain number Components verify influence weather conditions on ambient air quality. The technique led conclusion that soil transport emissions represent important sources even this environment. quantitative contribution each class calculated using Multilinear Regression Analysis; 37% mass had a origin, 8% from sea spray, 18% resulted 24% contained ammonium salts. Twelve percent total suspended particle (TSP) could not be explained by any six retained. Ammonium salts two other minor seem result mainly emissions. More specific information about particular possible with technique.