Articles | Volume 15, issue 20
https://doi.org/10.5194/amt-15-6051-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-6051-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Oct 2022
Research article |
| 21 Oct 2022
| 21 Oct 2022
Source apportionment resolved by time of day for improved deconvolution of primary source contributions to air pollution
Sahil Bhandari
McKetta Department of Chemical Engineering, The University of Texas at Austin, Texas, USA
Department of Mechanical Engineering, University of British Columbia, Vancouver, Canada
Zainab Arub
Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi, India
Gazala Habib
Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi, India
Joshua S. Apte
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, UC Berkeley,
Berkeley, California, USA
School of Public Health, UC Berkeley, Berkeley, California, USA
McKetta Department of Chemical Engineering, The University of Texas at Austin, Texas, USA
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Cited
15 citations as recorded by crossref.
- Chemical and toxicological characteristics of fine particles from festive fireworks in urban residential communities S. Dubey et al. https://doi.org/10.1016/j.atmosenv.2025.121160
- Applications of environmental mass spectrometry in atmospheric haze chemistry T. Chen et al. https://doi.org/10.1016/j.trac.2024.117614
- From real-time to long-term source apportionment of PM10 using high-time-resolution measurements of aerosol physical properties: methodology and example application at an urban background site (Aosta, Italy) H. Diémoz et al. https://doi.org/10.5194/amt-19-3625-2026
- Comprehensive Source Apportionment and Health Risk Assessment of Metals Contamination with Unified Approach of Receptor Model and Monte Carlo Simulation in Limpopo, South Africa R. Gantayat et al. https://doi.org/10.1007/s12403-025-00734-z
- Contributions of primary sources to submicron organic aerosols in Delhi, India S. Bhandari et al. https://doi.org/10.5194/acp-22-13631-2022
- Potentially toxic and radiogenic elements associated serious health risks to human around a gold and uranium mines, Blesbokspruit wetland, Johannesburg, South Africa R. Gantayat et al. https://doi.org/10.1016/j.envres.2026.124381
- A generalized user-friendly method for fusing observational data and chemical transport model (Gen-Friberg V1.0: GF-1) Z. Li et al. https://doi.org/10.1016/j.envsoft.2025.106827
- ESAT: Environmental Source Apportionment Toolkit Python package D. Smith et al. https://doi.org/10.21105/joss.07316
- The impact of biomass burning occurred in the Indo-China Peninsula on PM2.5 and its spatiotemporal characteristics over Yunnan Province Y. Luo et al. https://doi.org/10.1016/j.scitotenv.2023.168185
- Emerging contaminant pollution and source contributions in a mixed-land-use lake in Lam Dong, Vietnam: An integrated multivariate, receptor modeling, and ecological risk assessment D. Kang et al. https://doi.org/10.1016/j.eti.2026.104928
- Vertical and seasonal variations in airborne endotoxins in a coastal megacity of North China: insights from 3-hydroxy fatty acids W. Zhang et al. https://doi.org/10.5194/acp-25-14513-2025
- Using Endmember Ion Fingerprinting for Source Apportionment of River Hydrochemistry in the Huxi Catchment, Taihu Lake Basin T. Hu et al. https://doi.org/10.3390/w18091025
- Source apportionment for indoor air pollution: Current challenges and future directions D. Saraga et al. https://doi.org/10.1016/j.scitotenv.2023.165744
- Source apportionment of PM2.5 episodes in the Taichung metropolitan area, Taiwan M. Chuang et al. https://doi.org/10.1016/j.atmosres.2024.107666
- Advances in accurate quantification and source apportionment of organic leakage components in complex matrices from the petrochemical industry Z. Du et al. https://doi.org/10.1016/j.psep.2026.108815
15 citations as recorded by crossref.
- Chemical and toxicological characteristics of fine particles from festive fireworks in urban residential communities S. Dubey et al. https://doi.org/10.1016/j.atmosenv.2025.121160
- Applications of environmental mass spectrometry in atmospheric haze chemistry T. Chen et al. https://doi.org/10.1016/j.trac.2024.117614
- From real-time to long-term source apportionment of PM10 using high-time-resolution measurements of aerosol physical properties: methodology and example application at an urban background site (Aosta, Italy) H. Diémoz et al. https://doi.org/10.5194/amt-19-3625-2026
- Comprehensive Source Apportionment and Health Risk Assessment of Metals Contamination with Unified Approach of Receptor Model and Monte Carlo Simulation in Limpopo, South Africa R. Gantayat et al. https://doi.org/10.1007/s12403-025-00734-z
- Contributions of primary sources to submicron organic aerosols in Delhi, India S. Bhandari et al. https://doi.org/10.5194/acp-22-13631-2022
- Potentially toxic and radiogenic elements associated serious health risks to human around a gold and uranium mines, Blesbokspruit wetland, Johannesburg, South Africa R. Gantayat et al. https://doi.org/10.1016/j.envres.2026.124381
- A generalized user-friendly method for fusing observational data and chemical transport model (Gen-Friberg V1.0: GF-1) Z. Li et al. https://doi.org/10.1016/j.envsoft.2025.106827
- ESAT: Environmental Source Apportionment Toolkit Python package D. Smith et al. https://doi.org/10.21105/joss.07316
- The impact of biomass burning occurred in the Indo-China Peninsula on PM2.5 and its spatiotemporal characteristics over Yunnan Province Y. Luo et al. https://doi.org/10.1016/j.scitotenv.2023.168185
- Emerging contaminant pollution and source contributions in a mixed-land-use lake in Lam Dong, Vietnam: An integrated multivariate, receptor modeling, and ecological risk assessment D. Kang et al. https://doi.org/10.1016/j.eti.2026.104928
- Vertical and seasonal variations in airborne endotoxins in a coastal megacity of North China: insights from 3-hydroxy fatty acids W. Zhang et al. https://doi.org/10.5194/acp-25-14513-2025
- Using Endmember Ion Fingerprinting for Source Apportionment of River Hydrochemistry in the Huxi Catchment, Taihu Lake Basin T. Hu et al. https://doi.org/10.3390/w18091025
- Source apportionment for indoor air pollution: Current challenges and future directions D. Saraga et al. https://doi.org/10.1016/j.scitotenv.2023.165744
- Source apportionment of PM2.5 episodes in the Taichung metropolitan area, Taiwan M. Chuang et al. https://doi.org/10.1016/j.atmosres.2024.107666
- Advances in accurate quantification and source apportionment of organic leakage components in complex matrices from the petrochemical industry Z. Du et al. https://doi.org/10.1016/j.psep.2026.108815
Saved (final revised paper)
Latest update: 26 Jun 2026
Short summary
We present a new method to conduct source apportionment resolved by time of day using the underlying approach of positive matrix factorization. We report results for four example time periods in two seasons (winter and monsoon 2017) in Delhi, India. Compared to the traditional approach, we extract a larger number of factors that represent the expected sources of primary organic aerosol. This method can capture diurnal time series patterns of sources at low computational cost.
We present a new method to conduct source apportionment resolved by time of day using the...
