Articles | Volume 18, issue 3
https://doi.org/10.5194/acp-18-2049-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-18-2049-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
High-resolution sampling and analysis of ambient particulate matter in the Pearl River Delta region of southern China: source apportionment and health risk implications
Shengzhen Zhou
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, 510275, China
Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Guangzhou 510275, China
Perry K. Davy
National Isotope Centre, Institute of Geological and Nuclear Sciences, 30 Gracefield Road, P.O. Box 31312, Lower Hutt, New Zealand
Minjuan Huang
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, 510275, China
Jingbo Duan
Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, 350 Shu Shan Hu Road, Hefei, Anhui 230031, China
Xuemei Wang
CORRESPONDING AUTHOR
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, 510275, China
Institute for Environment and Climate Research, Jinan University, Guangzhou, China
Qi Fan
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, 510275, China
Ming Chang
Institute for Environment and Climate Research, Jinan University, Guangzhou, China
Yiming Liu
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, 510275, China
Weihua Chen
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, 510275, China
Shanju Xie
Auckland Council, Auckland, New Zealand
Travis Ancelet
National Isotope Centre, Institute of Geological and Nuclear Sciences, 30 Gracefield Road, P.O. Box 31312, Lower Hutt, New Zealand
William J. Trompetter
National Isotope Centre, Institute of Geological and Nuclear Sciences, 30 Gracefield Road, P.O. Box 31312, Lower Hutt, New Zealand
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Cited
22 citations as recorded by crossref.
- Preliminary study of black carbon content in airborne particulate matters from an open site in the city of Yaoundé, Cameroon N. Nducol et al. 10.1007/s10661-021-08924-3
- Insights into the source-specific health risk of ambient particle-bound metals in the Pearl River Delta region, China S. Fu et al. 10.1016/j.ecoenv.2021.112642
- Pollution effect assessment of industrial activities on potentially toxic metal distribution in windowsill dust and surface soil in central China Q. Han et al. 10.1016/j.scitotenv.2020.144023
- Characteristics and sources of hourly elements in PM10 and PM2.5 during wintertime in Beijing P. Rai et al. 10.1016/j.envpol.2021.116865
- Source-specific ecological risk analysis and critical source identification of heavy metals in road dust in Beijing, China C. Men et al. 10.1016/j.jhazmat.2019.121763
- Chemical multi-fingerprinting of exogenous ultrafine particles in human serum and pleural effusion D. Lu et al. 10.1038/s41467-020-16427-x
- Organophosphorus esters (OPEs) in PM2.5 in urban and e-waste recycling regions in southern China: concentrations, sources, and emissions T. Wang et al. 10.1016/j.envres.2018.08.015
- Real‐Time Characterization of Aerosol Compositions, Sources, and Aging Processes in Guangzhou During PRIDE‐GBA 2018 Campaign W. Chen et al. 10.1029/2021JD035114
- Geochemical assessment and spatial analysis of heavy metals pollution around coal-fired power station V. Linnik et al. 10.1007/s10653-019-00361-z
- Source apportionment of highly time-resolved elements during a firework episode from a rural freeway site in Switzerland P. Rai et al. 10.5194/acp-20-1657-2020
- In situ continuous observation of hourly elements in PM2.5 in urban beijing, China: Occurrence levels, temporal variation, potential source regions and health risks Y. Cui et al. 10.1016/j.atmosenv.2019.117164
- Elucidating the responses of highly time-resolved PM2.5 related elements to extreme emission reductions K. Cheng et al. 10.1016/j.envres.2021.112624
- Health risk-oriented source apportionment of PM2.5-associated trace metals J. Xie et al. 10.1016/j.envpol.2020.114655
- The regional nature of nitrate-dominant haze pollution during autumn over the Pearl River Delta area J. GUO et al. 10.1080/16742834.2020.1740055
- Source-specific health risk assessment of PM2.5-bound heavy metals based on high time-resolved measurement in a Chinese megacity: insights into seasonal and diurnal variations R. Chen et al. 10.1016/j.ecoenv.2021.112167
- Investigation of sources and formation mechanisms of fine particles and organic aerosols in cold season in Fenhe Plain, China Y. Li et al. 10.1016/j.atmosres.2022.106018
- Particle composition, sources and evolution during the COVID-19 lockdown period in Chengdu, southwest China: Insights from single particle aerosol mass spectrometer data J. Zhang et al. 10.1016/j.atmosenv.2021.118844
- Characterization of dicarboxylic acids, oxoacids, and α-dicarbonyls in PM2.5 within the urban boundary layer in southern China: Sources and formation pathways J. Liu et al. 10.1016/j.envpol.2021.117185
- Significant changes in the chemical compositions and sources of PM2.5 in Wuhan since the city lockdown as COVID-19 H. Zheng et al. 10.1016/j.scitotenv.2020.140000
- Deployment of networked low-cost sensors and comparison to real-time stationary monitors in New Delhi J. Prakash et al. 10.1080/10962247.2021.1890276
- Substantial changes in gaseous pollutants and chemical compositions in fine particles in the North China Plain during the COVID-19 lockdown period: anthropogenic vs. meteorological influences R. Li et al. 10.5194/acp-21-8677-2021
- Measurement report: Receptor modeling for source identification of urban fine and coarse particulate matter using hourly elemental composition M. Reizer et al. 10.5194/acp-21-14471-2021
22 citations as recorded by crossref.
- Preliminary study of black carbon content in airborne particulate matters from an open site in the city of Yaoundé, Cameroon N. Nducol et al. 10.1007/s10661-021-08924-3
- Insights into the source-specific health risk of ambient particle-bound metals in the Pearl River Delta region, China S. Fu et al. 10.1016/j.ecoenv.2021.112642
- Pollution effect assessment of industrial activities on potentially toxic metal distribution in windowsill dust and surface soil in central China Q. Han et al. 10.1016/j.scitotenv.2020.144023
- Characteristics and sources of hourly elements in PM10 and PM2.5 during wintertime in Beijing P. Rai et al. 10.1016/j.envpol.2021.116865
- Source-specific ecological risk analysis and critical source identification of heavy metals in road dust in Beijing, China C. Men et al. 10.1016/j.jhazmat.2019.121763
- Chemical multi-fingerprinting of exogenous ultrafine particles in human serum and pleural effusion D. Lu et al. 10.1038/s41467-020-16427-x
- Organophosphorus esters (OPEs) in PM2.5 in urban and e-waste recycling regions in southern China: concentrations, sources, and emissions T. Wang et al. 10.1016/j.envres.2018.08.015
- Real‐Time Characterization of Aerosol Compositions, Sources, and Aging Processes in Guangzhou During PRIDE‐GBA 2018 Campaign W. Chen et al. 10.1029/2021JD035114
- Geochemical assessment and spatial analysis of heavy metals pollution around coal-fired power station V. Linnik et al. 10.1007/s10653-019-00361-z
- Source apportionment of highly time-resolved elements during a firework episode from a rural freeway site in Switzerland P. Rai et al. 10.5194/acp-20-1657-2020
- In situ continuous observation of hourly elements in PM2.5 in urban beijing, China: Occurrence levels, temporal variation, potential source regions and health risks Y. Cui et al. 10.1016/j.atmosenv.2019.117164
- Elucidating the responses of highly time-resolved PM2.5 related elements to extreme emission reductions K. Cheng et al. 10.1016/j.envres.2021.112624
- Health risk-oriented source apportionment of PM2.5-associated trace metals J. Xie et al. 10.1016/j.envpol.2020.114655
- The regional nature of nitrate-dominant haze pollution during autumn over the Pearl River Delta area J. GUO et al. 10.1080/16742834.2020.1740055
- Source-specific health risk assessment of PM2.5-bound heavy metals based on high time-resolved measurement in a Chinese megacity: insights into seasonal and diurnal variations R. Chen et al. 10.1016/j.ecoenv.2021.112167
- Investigation of sources and formation mechanisms of fine particles and organic aerosols in cold season in Fenhe Plain, China Y. Li et al. 10.1016/j.atmosres.2022.106018
- Particle composition, sources and evolution during the COVID-19 lockdown period in Chengdu, southwest China: Insights from single particle aerosol mass spectrometer data J. Zhang et al. 10.1016/j.atmosenv.2021.118844
- Characterization of dicarboxylic acids, oxoacids, and α-dicarbonyls in PM2.5 within the urban boundary layer in southern China: Sources and formation pathways J. Liu et al. 10.1016/j.envpol.2021.117185
- Significant changes in the chemical compositions and sources of PM2.5 in Wuhan since the city lockdown as COVID-19 H. Zheng et al. 10.1016/j.scitotenv.2020.140000
- Deployment of networked low-cost sensors and comparison to real-time stationary monitors in New Delhi J. Prakash et al. 10.1080/10962247.2021.1890276
- Substantial changes in gaseous pollutants and chemical compositions in fine particles in the North China Plain during the COVID-19 lockdown period: anthropogenic vs. meteorological influences R. Li et al. 10.5194/acp-21-8677-2021
- Measurement report: Receptor modeling for source identification of urban fine and coarse particulate matter using hourly elemental composition M. Reizer et al. 10.5194/acp-21-14471-2021
Latest update: 02 Jun 2023
Short summary
We collected hourly samples of PM2.5 and PM2.5–10 at an industrial city in the PRD, China. The samples were analyzed for black carbon and elemental compositions. Receptor modeling of the dataset by positive matrix factorization was used to identify PM sources. Human health exposure risks to the selected trace elements in PM released from the specific sources were estimated. The source–risk apportionment method helps decision makers to manage air quality more effectively.
We collected hourly samples of PM2.5 and PM2.5–10 at an industrial city in the PRD, China. The...
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