Volatile organic compound(VOC)emission control and source apportionment in small-scale industrial areas have become key topics of air pollution control in China.This study pro-posed a novel characteristic factor and pattern recognition(CF-PR)model for VOC source ap-portionment based on the similarity of characteristic factors between sources and receptors.A simulation was carried out in a typical industrial area with the CF-PR model involving sim-ulated receptor samples.Refined and accurate source profiles were constructed through in situ sampling and analysis,covering rubber,chemicals,coating,electronics,plastics,print-ing,incubation and medical treatment industries.Characteristic factors of n-undecane,styrene,o-xylene and propane were identified.The source apportionment simulation re-sults indicated that the predicted contribution rate was basically consistent with the real contribution rate.Compared to traditional receptor models,this method achieves notable advantages in terms of refinement and timeliness at similar accuracy,which is more suit-able for VOC source identification and apportionment in small-scale industrial areas.

Key Laboratory of Biomass Chemical Engineering of the Ministry of Education,Institute of Industrial Ecology and Environment,College of Chemical and Biological Engineering,Zhejiang University(Yuquan Campus),Hangzhou 310027,China;College of Environment,Zhejiang University of Technology,Hangzhou 310032,China

[1]Deji Jing;Nana Cheng;Cheng Zhang;Ziwei Chen;Xingnong Cai;Sujing Li;Jingkai Zhao;Qiaoli Wang;Wei Li-.A novel approach for VOC source apportionment combining characteristic factor and pattern recognition technology in a Chinese industrial area)[J].环境科学学报（英文版）,2022(11):25-37

apportionment,portionment,undecane

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