« Previous AbstractMolecular characterization and volatile binding properties of pheromone binding proteins and general odorant binding proteins in Conogethes pinicolalis (Lepidoptera: Crambidae)    Next AbstractComparison of male antennal morphology and sensilla physiology for sex pheromone olfactory sensing between sibling moth species: Ectropis grisescens and Ectropis obliqua (Geometridae) »

J Environ Sci (China)

Title:		A novel approach for VOC source apportionment combining characteristic factor and pattern recognition technology in a Chinese industrial area
Author(s):		Jing D; Cheng N; Zhang C; Chen Z; Cai X; Li S; Zhao J; Wang Q; Li W;
Address:		"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. College of Environment, Zhejiang University of Technology, Hangzhou 310032, China. Electronic address: chocowang@zju.edu.cn"
Journal Title:		J Environ Sci (China)
Year:		2022
Volume:		20220201
Issue:
Page Number:		25 - 37
DOI:		10.1016/j.jes.2021.08.056
ISSN/ISBN:		1001-0742 (Print) 1001-0742 (Linking)
Abstract:		"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 proposed a novel characteristic factor and pattern recognition (CF-PR) model for VOC source apportionment 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 simulated receptor samples. Refined and accurate source profiles were constructed through in situ sampling and analysis, covering rubber, chemicals, coating, electronics, plastics, printing, incubation and medical treatment industries. Characteristic factors of n-undecane, styrene, o-xylene and propane were identified. The source apportionment simulation results 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 suitable for VOC source identification and apportionment in small-scale industrial areas"
Keywords:		*Air Pollutants/analysis Environmental Monitoring/methods Industry Technology *Volatile Organic Compounds/analysis Characteristic factors Industrial areas Pattern recognition Source apportionment Voc;
Notes:		"MedlineJing, Deji Cheng, Nana Zhang, Cheng Chen, Ziwei Cai, Xingnong Li, Sujing Zhao, Jingkai Wang, Qiaoli Li, Wei eng Netherlands 2022/06/03 J Environ Sci (China). 2022 Nov; 121:25-37. doi: 10.1016/j.jes.2021.08.056. Epub 2022 Feb 1"