Chemical Composition Characteristics and Source Apportionment of PM2.5 in Ceramic Industrial Base during Winter
Abstract The national architectural ceramic industrial center in east China is suffering from serious ambient fine particle pollution. The study reported herein describes an effort to ascertain the degree and sources of the PM2.5 collected in a ceramic industrial base during winter. The major chemic...
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.210390 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823862895805464576 |
|---|---|
| author | Xiang Tu Xiaozhen Fang Hansun Fang Changlin Ye Zugen Liu Xuehui Jia Dan He Jinliang Wang Hong Huang Changwei Zou Chenglong Yu |
| author_facet | Xiang Tu Xiaozhen Fang Hansun Fang Changlin Ye Zugen Liu Xuehui Jia Dan He Jinliang Wang Hong Huang Changwei Zou Chenglong Yu |
| author_sort | Xiang Tu |
| collection | DOAJ |
| description | Abstract The national architectural ceramic industrial center in east China is suffering from serious ambient fine particle pollution. The study reported herein describes an effort to ascertain the degree and sources of the PM2.5 collected in a ceramic industrial base during winter. The major chemical components in PM2.5 were analyzed, including carbonaceous aerosols, water-soluble ions, and inorganic elements. The chemical mass balance (CMB) model, backward trajectory method and potential source contribution function model, etc. were used to track and identify possible sources and contributions in the formation of the PM2.5. The results showed that the average PM2.5 concentration during sampling period was 134 ± 74.7 µg m−3, which exceeding World Health Organization (WHO) Air Quality Guidelines levels. The dominant components in the PM2.5 at this sampling site were found to be secondary ions (sulfate and nitrate) and carbon fractions. Water-soluble ions and total carbon contributed about 48.7% and 13.9% of the PM2.5 mass, respectively. In addition, the SO42−/NO3− ratio in the ambient PM2.5 during the sampling period was 1.16, indicating that it was the result of primarily emissions from stationary sources. Furthermore, source apportionment using the CMB model indicated that a ceramic industry source was the main contributor to the PM2.5 mass, which accounted for about 27.9%, and this was followed by secondary formation dust sources, and gasoline/diesel vehicle exhaust emissions and motor vehicle non-exhaust emissions. Based on the backward trajectory analysis and potential source apportionment, it was found that PM2.5 regional transmission existed, but it originated primarily from local sources and surrounding areas. Hence, this study provided a scientific basis for identifying the sources of PM2.5 pollution during a typical pollution period and provided important input for PM2.5 control strategies in a typical industrial area. |
| format | Article |
| id | doaj-art-6fe2b0ee4a6f4a46b55c19e5df246e1c |
| 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-6fe2b0ee4a6f4a46b55c19e5df246e1c2025-02-09T12:17:58ZengSpringerAerosol and Air Quality Research1680-85842071-14092022-03-0122511710.4209/aaqr.210390Chemical Composition Characteristics and Source Apportionment of PM2.5 in Ceramic Industrial Base during WinterXiang Tu0Xiaozhen Fang1Hansun Fang2Changlin Ye3Zugen Liu4Xuehui Jia5Dan He6Jinliang Wang7Hong Huang8Changwei Zou9Chenglong Yu10Jiangxi Provincial Institute of Eco-Environmental Science Research and PlanningJiangxi Province Key Laboratory of the Causes and Control of Atmospheric Pollution, East China University of TechnologySchool of Land Resources and Environment, Jiangxi Agricultural UniversityJiangxi Provincial Institute of Eco-Environmental Science Research and PlanningJiangxi Provincial Institute of Eco-Environmental Science Research and PlanningSchool of Land Resources and Environment, Jiangxi Agricultural UniversityJiangxi Provincial Institute of Eco-Environmental Science Research and PlanningSchool of Land Resources and Environment, Jiangxi Agricultural UniversitySchool of Resources, Environment and Chemical Engineering, Nanchang UniversitySchool of Resources, Environment and Chemical Engineering, Nanchang UniversitySchool of Land Resources and Environment, Jiangxi Agricultural UniversityAbstract The national architectural ceramic industrial center in east China is suffering from serious ambient fine particle pollution. The study reported herein describes an effort to ascertain the degree and sources of the PM2.5 collected in a ceramic industrial base during winter. The major chemical components in PM2.5 were analyzed, including carbonaceous aerosols, water-soluble ions, and inorganic elements. The chemical mass balance (CMB) model, backward trajectory method and potential source contribution function model, etc. were used to track and identify possible sources and contributions in the formation of the PM2.5. The results showed that the average PM2.5 concentration during sampling period was 134 ± 74.7 µg m−3, which exceeding World Health Organization (WHO) Air Quality Guidelines levels. The dominant components in the PM2.5 at this sampling site were found to be secondary ions (sulfate and nitrate) and carbon fractions. Water-soluble ions and total carbon contributed about 48.7% and 13.9% of the PM2.5 mass, respectively. In addition, the SO42−/NO3− ratio in the ambient PM2.5 during the sampling period was 1.16, indicating that it was the result of primarily emissions from stationary sources. Furthermore, source apportionment using the CMB model indicated that a ceramic industry source was the main contributor to the PM2.5 mass, which accounted for about 27.9%, and this was followed by secondary formation dust sources, and gasoline/diesel vehicle exhaust emissions and motor vehicle non-exhaust emissions. Based on the backward trajectory analysis and potential source apportionment, it was found that PM2.5 regional transmission existed, but it originated primarily from local sources and surrounding areas. Hence, this study provided a scientific basis for identifying the sources of PM2.5 pollution during a typical pollution period and provided important input for PM2.5 control strategies in a typical industrial area.https://doi.org/10.4209/aaqr.210390Ceramic industry basesPM2.5Chemical composition characteristicsSource apportionmentCMB |
| spellingShingle | Xiang Tu Xiaozhen Fang Hansun Fang Changlin Ye Zugen Liu Xuehui Jia Dan He Jinliang Wang Hong Huang Changwei Zou Chenglong Yu Chemical Composition Characteristics and Source Apportionment of PM2.5 in Ceramic Industrial Base during Winter Aerosol and Air Quality Research Ceramic industry bases PM2.5 Chemical composition characteristics Source apportionment CMB |
| title | Chemical Composition Characteristics and Source Apportionment of PM2.5 in Ceramic Industrial Base during Winter |
| title_full | Chemical Composition Characteristics and Source Apportionment of PM2.5 in Ceramic Industrial Base during Winter |
| title_fullStr | Chemical Composition Characteristics and Source Apportionment of PM2.5 in Ceramic Industrial Base during Winter |
| title_full_unstemmed | Chemical Composition Characteristics and Source Apportionment of PM2.5 in Ceramic Industrial Base during Winter |
| title_short | Chemical Composition Characteristics and Source Apportionment of PM2.5 in Ceramic Industrial Base during Winter |
| title_sort | chemical composition characteristics and source apportionment of pm2 5 in ceramic industrial base during winter |
| topic | Ceramic industry bases PM2.5 Chemical composition characteristics Source apportionment CMB |
| url | https://doi.org/10.4209/aaqr.210390 |
| work_keys_str_mv | AT xiangtu chemicalcompositioncharacteristicsandsourceapportionmentofpm25inceramicindustrialbaseduringwinter AT xiaozhenfang chemicalcompositioncharacteristicsandsourceapportionmentofpm25inceramicindustrialbaseduringwinter AT hansunfang chemicalcompositioncharacteristicsandsourceapportionmentofpm25inceramicindustrialbaseduringwinter AT changlinye chemicalcompositioncharacteristicsandsourceapportionmentofpm25inceramicindustrialbaseduringwinter AT zugenliu chemicalcompositioncharacteristicsandsourceapportionmentofpm25inceramicindustrialbaseduringwinter AT xuehuijia chemicalcompositioncharacteristicsandsourceapportionmentofpm25inceramicindustrialbaseduringwinter AT danhe chemicalcompositioncharacteristicsandsourceapportionmentofpm25inceramicindustrialbaseduringwinter AT jinliangwang chemicalcompositioncharacteristicsandsourceapportionmentofpm25inceramicindustrialbaseduringwinter AT honghuang chemicalcompositioncharacteristicsandsourceapportionmentofpm25inceramicindustrialbaseduringwinter AT changweizou chemicalcompositioncharacteristicsandsourceapportionmentofpm25inceramicindustrialbaseduringwinter AT chenglongyu chemicalcompositioncharacteristicsandsourceapportionmentofpm25inceramicindustrialbaseduringwinter |