Volatile organic compounds (VOCs) emission estimate of printing industry in the Pearl River Delta Region

2011 ◽  
Author(s):  
Wai-kuen Lin
Keyword(s):  
Organic Compounds ◽  
Pearl River Delta ◽  
Pearl River ◽  
Printing Industry ◽  
Pearl River Delta Region ◽  
The Pearl River Delta ◽  
Volatile Organic ◽  
Emission Estimate ◽  
The Pearl River ◽  
Vocs Emission

scholarly journals Characteristics of Volatile Organic Compounds in the Pearl River Delta Region, China: Chemical Reactivity, Source, and Emission Regions

Atmosphere ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 9
Author(s):  
Weiqiang Yang ◽  
Qingqing Yu ◽  
Chenglei Pei ◽  
Chenghao Liao ◽  
Jianjun Liu ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Pearl River Delta ◽  
River Delta ◽  
Pearl River ◽  
Pearl River Delta Region ◽  
Delta Region ◽  
The Pearl River Delta ◽  
Volatile Organic ◽  
The Pearl River

Volatile organic compounds (VOCs) are important precursors of photochemical ozone and secondary organic aerosol (SOA). Here, hourly variations of ambient VOCs were monitored with an online system at an urban site (Panyu, PY) in the Pearl River Delta region during August–September of 2020 in order to identify reactive VOC species and major sources of VOCs, OH loss rate (LOH), SOA formation potential (SOAFP), and corresponding emission source regions. The average concentration of VOCs at PY was 31.80 ± 20.82 ppbv during the campaign. The C2–C5 alkanes, aromatics, and ≥C6 alkanes contributed for the majority of VOC, alkenes and aromatics showed the highest contribution to LOH and SOAFP. Further, m/p-xylene, propene, and toluene were found to be the top three most reactive anthropogenic VOC species, with respective contributions of 11.6%, 6.1%, and 5.8% to total LOH. Toluene, m/p-xylene, and o-xylene constituted a large fraction of calculated SOAFP. Seven major sources were identified by using positive matrix factorization model. Vehicle exhaust made the most significant contribution to VOCs, followed by liquefied petroleum gas and combustion sources. However, industrial-related sources (including industrial solvent use and industrial process emission) had the largest contribution to LOH and SOAFP. By combining source contribution with wind direction and wind speed, the regions of different sources were further identified. Based on high-resolution observation data during ozone pollution, this study clearly exhibits key reactive VOC species and the major emission regions of different VOC sources, and thus benefits the accurate emission control of VOCs in the near future.

scholarly journals Volatile Organic Compounds Monitored Online at Three Photochemical Assessment Monitoring Stations in the Pearl River Delta (PRD) Region during Summer 2016: Sources and Emission Areas

Atmosphere ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 327
Author(s):  
Tao Zhang ◽  
Shaoxuan Xiao ◽  
Xinming Wang ◽  
Yanli Zhang ◽  
Chenglei Pei ◽  
...  
Keyword(s):  
Organic Compounds ◽  
Pearl River Delta ◽  
Industrial Processes ◽  
Pearl River ◽  
Emission Sources ◽  
Vehicle Exhaust ◽  
Source Regions ◽  
The Pearl River Delta ◽  
Volatile Organic ◽  
The Pearl River

Volatile organic compounds (VOCs) were monitored online at three photochemical assessment monitoring stations (MDS, WQS and HGS) in the Pearl River Delta region during the summer of 2016. Measured levels of VOCs at the MDS, WQS and HGS sites were 34.78, 8.54 and 8.47 ppbv, respectively, with aromatics and alkenes as major ozone precursors and aromatics as major precursors to secondary organic aerosol (SOA). The positive matrix factorization (PMF) model revealed that VOCs at the sites mainly came from vehicle exhaust, petrochemical industry, and solvent use. Vehicle exhaust and industrial processes losses contributed most to ozone formation potentials (OFP) of VOCs, while industrial processes losses contributed most to SOA formation potentials of VOCs. Potential source contribution function (PSCF) analysis revealed a north-south distribution for source regions of aromatics occurring at MDS with emission sources in Guangzhou mainly centered in the Guangzhou central districts, and source regions of aromatics at WQS showed an east-west distribution across Huizhou, Dongguan and east of Guangzhou, while that at HGS showed a south-north distribution across Guangzhou, Foshan, Zhaoqing and Yangjiang. This study demonstrates that multi-point high time resolution data can help resolve emission sources and locate emission areas of important ozone and SOA precursors.

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