Application of principal components analysis in optimizing sites selection of air quality monitoring
The principal component analysis could substitute for original multi-dimensional variable by a small number comprehensive variable and simplify data structure under the condition of minimizing loss of origi-nal data information.The paper was aimed to analyze the air environment monitoring data of Xinzhan area in He-fei city,using the principal component analysis to establish a mathematical model about the characteristic factors of air quality and pollutants.The model was made to calculate each monitoring sites,relative pollutional degree and classifying monitoring sites,thus to select the best sites to monitor the air quality.The result provided an op-timized selection of air quality monitoring sites,a theoretical basis for classifying air quality of Xinzhan area of Hefei and governing by different levels.