Source identification and variation in the chemical composition of precipitation at two rural sites in France
作者： H. Plaisance , J.C. Galloo , R. Guillermo
DOI: 10.1016/S0048-9697(97)00221-0
关键词:
摘要: A receptor-oriented model is developed to identify and locate the sources of constituents present in precipitation collected at two rural French stations, namely Donon Morvan. Firstly, factor analysis applied chemical data sets. Three factors are identified reproducing concentrations observed precipitation. These represent acid (characterized by ionic combination between H+, SO42− NO3−), marine (Na+, Cl− Mg2+) crustal (Ca2+ K+). Then, scores samples combined with air parcel back trajectories same scheme calculation produce probability maps source locations. This approach, called potential contribution function (PSCF) analysis, locates industrial areas Northeastern Europe Great Britain, Atlantic Ocean around Mediterranean Basin. The seasonal profiles these performed contrasted atmospheric processes meteorological conditions which prevail each season. classification daily also made according four origin sectors, examine variations composition precipitations from one sector another. results this agreement locations found PSCF analysis.
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