Spatial-temporal Characteristics and Source Apportionment of Ambient VOCs in Southeast Mountain Area of China
Abstract Seasonal variations and sources of ambient volatile organic compounds (VOCs) were conducted at the county and rural sites in a mountain area of southeastern China. The results showed that the pattern of VOC concentrations was dominated by oxygenated VOCs (37.6%) and alkanes (25.8%), followe...
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2022-03-01
|
| Series: | Aerosol and Air Quality Research |
| Subjects: | |
| Online Access: | https://doi.org/10.4209/aaqr.220016 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823862877918855168 |
|---|---|
| author | Xiaoting Ji Ke Xu Dan Liao Gaojie Chen Taotao Liu Youwei Hong Sijun Dong Sung-Deuk Choi Jinsheng Chen |
| author_facet | Xiaoting Ji Ke Xu Dan Liao Gaojie Chen Taotao Liu Youwei Hong Sijun Dong Sung-Deuk Choi Jinsheng Chen |
| author_sort | Xiaoting Ji |
| collection | DOAJ |
| description | Abstract Seasonal variations and sources of ambient volatile organic compounds (VOCs) were conducted at the county and rural sites in a mountain area of southeastern China. The results showed that the pattern of VOC concentrations was dominated by oxygenated VOCs (37.6%) and alkanes (25.8%), followed by halocarbons (16.8%), alkenes (11.9%), aromatics (6.87%), and alkynes (1.04%). Based on the OH radical loss rate (LOH) and ozone formation potential (OFP) analysis, alkenes had the highest chemical activity, especially the contribution of isoprene in rural areas. Aromatics contributed the most to secondary organic aerosols (SOA) formation in both county and rural areas. Source apportionment of VOCs were quantified by the positive matrix factorization (PMF) model, including industrial emissions and combustion burning (30.1% and 43.3% in the county and rural areas, respectively) and vehicle exhausts (30.3% and 10.8%), followed by solvent usage (17.1% and 5.2%), liquid petroleum gas (LPG) usage and fuel evaporation (14.2% and 10.0%), and biogenic source (8.3% and 30.6%). The backward air trajectories showed that air mass in spring was mainly originated from the intercity transmission, while the air clusters in autumn came from the northern areas through long-range transport. The study was helpful to understand the pollution characteristics in the mountainous area and provides a scientific basis for local O3 and PM2.5 pollution control. |
| format | Article |
| id | doaj-art-3440ac25f0ea420d8b71fcbfd22beb5b |
| institution | Kabale University |
| issn | 1680-8584 2071-1409 |
| language | English |
| publishDate | 2022-03-01 |
| publisher | Springer |
| record_format | Article |
| series | Aerosol and Air Quality Research |
| spelling | doaj-art-3440ac25f0ea420d8b71fcbfd22beb5b2025-02-09T12:18:01ZengSpringerAerosol and Air Quality Research1680-85842071-14092022-03-0122511510.4209/aaqr.220016Spatial-temporal Characteristics and Source Apportionment of Ambient VOCs in Southeast Mountain Area of ChinaXiaoting Ji0Ke Xu1Dan Liao2Gaojie Chen3Taotao Liu4Youwei Hong5Sijun Dong6Sung-Deuk Choi7Jinsheng Chen8Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of SciencesCenter for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of SciencesCollege of Environment and Public Health, Xiamen Huaxia UniversityCenter for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of SciencesCenter for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of SciencesCenter for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of SciencesKey Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of SciencesDepartment of Urban and Environmental Engineering, Ulsan National Institute of Science and TechnologyCenter for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of SciencesAbstract Seasonal variations and sources of ambient volatile organic compounds (VOCs) were conducted at the county and rural sites in a mountain area of southeastern China. The results showed that the pattern of VOC concentrations was dominated by oxygenated VOCs (37.6%) and alkanes (25.8%), followed by halocarbons (16.8%), alkenes (11.9%), aromatics (6.87%), and alkynes (1.04%). Based on the OH radical loss rate (LOH) and ozone formation potential (OFP) analysis, alkenes had the highest chemical activity, especially the contribution of isoprene in rural areas. Aromatics contributed the most to secondary organic aerosols (SOA) formation in both county and rural areas. Source apportionment of VOCs were quantified by the positive matrix factorization (PMF) model, including industrial emissions and combustion burning (30.1% and 43.3% in the county and rural areas, respectively) and vehicle exhausts (30.3% and 10.8%), followed by solvent usage (17.1% and 5.2%), liquid petroleum gas (LPG) usage and fuel evaporation (14.2% and 10.0%), and biogenic source (8.3% and 30.6%). The backward air trajectories showed that air mass in spring was mainly originated from the intercity transmission, while the air clusters in autumn came from the northern areas through long-range transport. The study was helpful to understand the pollution characteristics in the mountainous area and provides a scientific basis for local O3 and PM2.5 pollution control.https://doi.org/10.4209/aaqr.220016VOCsPollution characteristicsSource apportionmentOzone formation potentialPMF model |
| spellingShingle | Xiaoting Ji Ke Xu Dan Liao Gaojie Chen Taotao Liu Youwei Hong Sijun Dong Sung-Deuk Choi Jinsheng Chen Spatial-temporal Characteristics and Source Apportionment of Ambient VOCs in Southeast Mountain Area of China Aerosol and Air Quality Research VOCs Pollution characteristics Source apportionment Ozone formation potential PMF model |
| title | Spatial-temporal Characteristics and Source Apportionment of Ambient VOCs in Southeast Mountain Area of China |
| title_full | Spatial-temporal Characteristics and Source Apportionment of Ambient VOCs in Southeast Mountain Area of China |
| title_fullStr | Spatial-temporal Characteristics and Source Apportionment of Ambient VOCs in Southeast Mountain Area of China |
| title_full_unstemmed | Spatial-temporal Characteristics and Source Apportionment of Ambient VOCs in Southeast Mountain Area of China |
| title_short | Spatial-temporal Characteristics and Source Apportionment of Ambient VOCs in Southeast Mountain Area of China |
| title_sort | spatial temporal characteristics and source apportionment of ambient vocs in southeast mountain area of china |
| topic | VOCs Pollution characteristics Source apportionment Ozone formation potential PMF model |
| url | https://doi.org/10.4209/aaqr.220016 |
| work_keys_str_mv | AT xiaotingji spatialtemporalcharacteristicsandsourceapportionmentofambientvocsinsoutheastmountainareaofchina AT kexu spatialtemporalcharacteristicsandsourceapportionmentofambientvocsinsoutheastmountainareaofchina AT danliao spatialtemporalcharacteristicsandsourceapportionmentofambientvocsinsoutheastmountainareaofchina AT gaojiechen spatialtemporalcharacteristicsandsourceapportionmentofambientvocsinsoutheastmountainareaofchina AT taotaoliu spatialtemporalcharacteristicsandsourceapportionmentofambientvocsinsoutheastmountainareaofchina AT youweihong spatialtemporalcharacteristicsandsourceapportionmentofambientvocsinsoutheastmountainareaofchina AT sijundong spatialtemporalcharacteristicsandsourceapportionmentofambientvocsinsoutheastmountainareaofchina AT sungdeukchoi spatialtemporalcharacteristicsandsourceapportionmentofambientvocsinsoutheastmountainareaofchina AT jinshengchen spatialtemporalcharacteristicsandsourceapportionmentofambientvocsinsoutheastmountainareaofchina |