Multivariate analysis of a 1992 SONTOS data subset

摘要: Statistical analysis of observations made between 7 and 31 August 1992 at a rural site in Southern Ontario, Canada, is presented using principal component (PCA), as well rank partial correlation analyses. Data for ozone, CO, SO 2 , NO, NO y (NO + including x PAN HNO 3 ), ethane, ethylene, propane, acetylene isoprene are employed, such meteorological information temperature, relative humidity, wind speed direction. The involved several scenarios classifying the data according to daytime, nighttime A normal suggests that might be important build-up ozone S-W sector, whereas it not N-E sector. PCA show chemical variables interact differently within different scenarios. Finally, relationships both sectors found same when subjected parameters concluded ozone-isoprene relationship biased by temperature.