Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractEstablishment of transcriptional silencing in the absence of DNA replication    Next Abstract"Decabrominated Diphenyl Ethers (BDE-209) in Chinese and Global Air: Levels, Gas/Particle Partitioning, and Long-Range Transport: Is Long-Range Transport of BDE-209 Really Governed by the Movement of Particles?" »

Huan Jing Ke Xue


Title:[Characteristics and Source Apportionment of VOCs at Different Pollution Levels During the Winter in an Urban Area in Zhengzhou]
Author(s):Li YD; Yin SS; Zhang RQ; Yu SJ; Yang J; Zhang D;
Address:"Research Institute of Environmental Science, College of Chemistry, Zhengzhou University, Zhengzhou 450001, China. College of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China"
Journal Title:Huan Jing Ke Xue
Year:2020
Volume:41
Issue:8
Page Number:3500 - 3510
DOI: 10.13227/j.hjkx.202001133
ISSN/ISBN:0250-3301 (Print) 0250-3301 (Linking)
Abstract:"In this study, volatile organic compound (VOC) species were measured at an urban site in Zhengzhou from January 3 to 23, 2019, to investigate the composition, variation characteristics, sources, and effects on secondary organic aerosol (SOA) formation of VOCs at different pollution levels. Results showed that oxygenated VOCs and alkanes were the main components of VOCs, while ethyl acetate and acetone were the most abundant species. During the process from clean days to heavy pollution days, the mixing ratio of VOCs approximately doubled, and the mixing ratios of most species continued to increase as the pollution level increased. Based on the positive matrix factorization (PMF) model, during the observation period, VOCs mainly originated from vehicle emissions, industrial emissions, combustion sources, solvent utilization, and liquefied petroleum gas (LPG) utilization. There were significant differences in the source contribution at different pollution levels, and the contributions of industrial emissions and solvent utilization during the heavy pollution days increased to 9 times and 3 times that of the clean days, respectively. With respect to the SOA formation potential (SOA(p)), aromatics were the component that contributed the most, and toluene and m/p-xylene were the species that contributed the most, while solvent utilization was the greatest source contributor. During the heavy pollution period, the total SOA(p) increased to approximately 2.6 times that of clean days. There is a great need to reduce winter haze pollution in Zhengzhou by strengthening the control of aromatic emissions and related sources such as solvent utilization"
Keywords:*Air Pollutants/analysis Environmental Monitoring Seasons Vehicle Emissions/analysis *Volatile Organic Compounds/analysis haze positive matrix factorization model secondary organic aerosol formation potential source apportionment volatile organic compound;
Notes:"MedlineLi, Yi-Dan Yin, Sha-Sha Zhang, Rui-Qin Yu, Shi-Jie Yang, Jian Zhang, Dong chi China 2020/10/31 Huan Jing Ke Xue. 2020 Aug 8; 41(8):3500-3510. doi: 10.13227/j.hjkx.202001133"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 27-12-2024