Articles | Volume 22, issue 20
https://doi.org/10.5194/acp-22-13631-2022
© 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/acp-22-13631-2022
© 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
Contributions of primary sources to submicron organic aerosols in Delhi, India
Sahil Bhandari
McKetta Department of Chemical Engineering, The University of Texas at Austin, 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, Austin, Texas, USA
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Subject: Aerosols | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
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In order to study aerosols in environments influenced by anthropogenic and biogenic emissions, we performed analyses of samples collected during the ACROSS (Atmospheric Chemistry Of the Suburban Forest) campaign in summer 2022 in the greater Paris area. After analysis of the chemical composition by means of total carbon determination and high-resolution mass spectrometry, this work highlights the influence of anthropogenic inputs on the chemical composition of both urban and forested areas.
Kimmo Teinilä, Sanna Saarikoski, Henna Lintusaari, Teemu Lepistö, Petteri Marjanen, Minna Aurela, Heidi Hellén, Toni Tykkä, Markus Lampimäki, Janne Lampilahti, Luis Barreira, Timo Mäkelä, Leena Kangas, Juha Hatakka, Sami Harni, Joel Kuula, Jarkko V. Niemi, Harri Portin, Jaakko Yli-Ojanperä, Ville Niemelä, Milja Jäppi, Katrianne Lehtipalo, Joonas Vanhanen, Liisa Pirjola, Hanna E. Manninen, Tuukka Petäjä, Topi Rönkkö, and Hilkka Timonen
Atmos. Chem. Phys., 25, 4907–4928, https://doi.org/10.5194/acp-25-4907-2025, https://doi.org/10.5194/acp-25-4907-2025, 2025
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Physical and chemical properties of particulate matter and concentrations of trace gases were measured in a street canyon in Helsinki, Finland, and an urban background site in January–February 2022 to investigate the effect of wintertime conditions on pollutants. State-of-the-art instruments and a mobile laboratory were used, and the measurement data were analysed further with modelling tools like positive matrix factorization and the Pollution Detection Algorithm.
Guilherme Martins Pereira, Leonardo Yoshiaki Kamigauti, Rubens Fabio Pereira, Djacinto Monteiro dos Santos, Thayná da Silva Santos, José Vinicius Martins, Célia Alves, Cátia Gonçalves, Ismael Casotti Rienda, Nora Kováts, Thiago Nogueira, Luciana Rizzo, Paulo Artaxo, Regina Maura de Miranda, Marcia Akemi Yamasoe, Edmilson Dias de Freitas, Pérola de Castro Vasconcellos, and Maria de Fatima Andrade
Atmos. Chem. Phys., 25, 4587–4616, https://doi.org/10.5194/acp-25-4587-2025, https://doi.org/10.5194/acp-25-4587-2025, 2025
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The chemical composition of fine particulate matter was studied in the megacity of São Paulo (Brazil) during a polluted period. Vehicular-related sources remain relevant; however, a high contribution of biomass burning was observed and correlated with sample ecotoxicity. Emerging biomass burning sources, such as forest fires and sugarcane-bagasse-based power plants, highlight the need for additional control measures alongside stricter rules concerning vehicular emissions.
Emmanuel Chevassus, Kirsten N. Fossum, Darius Ceburnis, Lu Lei, Chunshui Lin, Wei Xu, Colin O'Dowd, and Jurgita Ovadnevaite
Atmos. Chem. Phys., 25, 4107–4129, https://doi.org/10.5194/acp-25-4107-2025, https://doi.org/10.5194/acp-25-4107-2025, 2025
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This study presents the first source apportionment of organic aerosol at Mace Head via high-resolution mass spectrometry. Introducing transfer entropy as a novel method reveals that aged organic aerosol originates from both open-ocean ozonolysis and local peat-burning oxidation. Methanesulfonic acid and organic sea spray both mirror phytoplankton activity, with the former closely tied to coccolithophore blooms and the latter linked to diatoms, chlorophytes, and cyanobacteria.
Ashutosh K. Shukla, Sachchida N. Tripathi, Shamitaksha Talukdar, Vishnu Murari, Sreenivas Gaddamidi, Manousos-Ioannis Manousakas, Vipul Lalchandani, Kuldeep Dixit, Vinayak M. Ruge, Peeyush Khare, Mayank Kumar, Vikram Singh, Neeraj Rastogi, Suresh Tiwari, Atul K. Srivastava, Dilip Ganguly, Kaspar Rudolf Daellenbach, and André S. H. Prévôt
Atmos. Chem. Phys., 25, 3765–3784, https://doi.org/10.5194/acp-25-3765-2025, https://doi.org/10.5194/acp-25-3765-2025, 2025
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Our study delves into the elemental composition of aerosols at three sites across the Indo-Gangetic Plain (IGP), revealing distinct patterns during pollution episodes. We found significant increases in chlorine (Cl)-rich and solid fuel combustion (SFC) sources, indicating dynamic emission sources, agricultural burning impacts, and meteorological influences. Surges in Cl-rich particles during cold periods highlight their role in particle growth under high-relative-humidity conditions.
Ye Kuang, Biao Luo, Shan Huang, Junwen Liu, Weiwei Hu, Yuwen Peng, Duohong Chen, Dingli Yue, Wanyun Xu, Bin Yuan, and Min Shao
Atmos. Chem. Phys., 25, 3737–3752, https://doi.org/10.5194/acp-25-3737-2025, https://doi.org/10.5194/acp-25-3737-2025, 2025
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This research reveals the potential importance of nighttime NO3 radical chemistry and aerosol water in the rapid formation of secondary brown carbon from diluted biomass burning emissions. The findings enhance our understanding of nighttime biomass burning evolution and its implications for climate and regional air quality, especially regarding interactions with background aerosol water and water-rich fogs and clouds.
Fan Mei, Qi Zhang, Damao Zhang, Jerome D. Fast, Gourihar Kulkarni, Mikhail S. Pekour, Christopher R. Niedek, Susanne Glienke, Israel Silber, Beat Schmid, Jason M. Tomlinson, Hardeep S. Mehta, Xena Mansoura, Zezhen Cheng, Gregory W. Vandergrift, Nurun Nahar Lata, Swarup China, and Zihua Zhu
Atmos. Chem. Phys., 25, 3425–3444, https://doi.org/10.5194/acp-25-3425-2025, https://doi.org/10.5194/acp-25-3425-2025, 2025
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This study highlights the unique capability of the ArcticShark, an uncrewed aerial system, in measuring vertically resolved atmospheric properties. Data from 32 research flights in 2023 reveal seasonal patterns and correlations with conventional measurements. The consistency and complementarity of in situ and remote sensing methods are highlighted. The study demonstrates the ArcticShark’s versatility in bridging data gaps and improving the understanding of vertical atmospheric structures.
Yuan Cheng, Ying-jie Zhong, Zhi-qing Zhang, Xu-bing Cao, and Jiu-meng Liu
EGUsphere, https://doi.org/10.5194/egusphere-2025-537, https://doi.org/10.5194/egusphere-2025-537, 2025
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As an emerging hotspot of atmospheric sciences, Northeast China is distinct due to the frigid winter and the strong emissions from agricultural fires. Based on field campaigns conducted in Harbin, we successively identified the analytical method that could lead to proper results of organic and elemental carbon. Our results are believed to be a support for future efforts on exploration of the PM2.5 sources in Northeast China, which are essential for further improving the regional air quality.
Ting Yang, Yu Xu, Yu-Chen Wang, Yi-Jia Ma, Hong-Wei Xiao, Hao Xiao, and Hua-Yun Xiao
Atmos. Chem. Phys., 25, 2967–2978, https://doi.org/10.5194/acp-25-2967-2025, https://doi.org/10.5194/acp-25-2967-2025, 2025
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Previous measurement–model comparisons of atmospheric isoprene levels showed a significant unidentified source of isoprene in some northern Chinese cities during winter. Here, the first combination of large-scale observations and field combustion experiments provides novel insights into biomass burning emissions as a significant source of isoprene-derived organosulfates during winter in northern cities of China.
Agnesh Panta, Konrad Kandler, Kerstin Schepanski, Andres Alastuey, Pavla Dagsson Waldhauserova, Sylvain Dupont, Melanie Eknayan, Cristina González-Flórez, Adolfo González-Romero, Martina Klose, Mara Montag, Xavier Querol, Jesús Yus-Díez, and Carlos Pérez García-Pando
EGUsphere, https://doi.org/10.5194/egusphere-2025-494, https://doi.org/10.5194/egusphere-2025-494, 2025
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Iceland is among the most active dust source areas in the world. Dust properties are influenced by particle size, mineralogy, shape, and mixing state. This work characterizes freshly emitted individual aerosol particles of Icelandic dust using electron microscopy. Our study provides insights into critical particle-specific information will contribute to better constraining climate models that consider mineralogical variations in their representation of the dust cycle.
Yi-Jia Ma, Yu Xu, Ting Yang, Lin Gui, Hong-Wei Xiao, Hao Xiao, and Hua-Yun Xiao
Atmos. Chem. Phys., 25, 2763–2780, https://doi.org/10.5194/acp-25-2763-2025, https://doi.org/10.5194/acp-25-2763-2025, 2025
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The abundance, potential precursors, and main formation mechanisms of nitrogen-containing organic compounds (NOCs) in PM2.5 during winter were compared among cities with different energy consumption patterns. The aerosol NOC pollution during winter in China is closely associated with the intensity of precursor emissions and the aqueous-phase processes. Our results highlight the importance of emission reduction strategies in controlling aerosol NOCs pollution during winter in China.
Dane Blanchard, Mark Gordon, Duc Huy Dang, Paul Andrew Makar, and Julian Aherne
Atmos. Chem. Phys., 25, 2423–2442, https://doi.org/10.5194/acp-25-2423-2025, https://doi.org/10.5194/acp-25-2423-2025, 2025
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This study offers the first known evaluation of water-soluble brown carbon aerosols in the Athabasca oil sands region (AOSR), Canada. Fluorescence spectroscopy analysis of aerosol samples from five regional sites (collected during the summer of 2021) identified oil sands operations as a measurable brown carbon source. Industrial aerosol emissions were unlikely to impact regional radiative forcing. These findings show that fluorescence spectroscopy can be used to monitor brown carbon in the AOSR.
Kira Zeider, Kayla McCauley, Sanja Dmitrovic, Leong Wai Siu, Yonghoon Choi, Ewan C. Crosbie, Joshua P. DiGangi, Glenn S. Diskin, Simon Kirschler, John B. Nowak, Michael A. Shook, Kenneth L. Thornhill, Christiane Voigt, Edward L. Winstead, Luke D. Ziemba, Paquita Zuidema, and Armin Sorooshian
Atmos. Chem. Phys., 25, 2407–2422, https://doi.org/10.5194/acp-25-2407-2025, https://doi.org/10.5194/acp-25-2407-2025, 2025
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In situ aircraft data collected over the northwest Atlantic Ocean are utilized to compare aerosol conditions and turbulence between near-surface and below-cloud-base altitudes for different regimes of coupling strength between those two levels, along with how cloud microphysical properties vary across those regimes. Stronger coupling yields more homogenous aerosol structure vertically along with higher cloud drop concentrations and sea salt influence in clouds.
Junke Zhang, Xinyi Fu, Chunying Chen, Yunfei Su, Siyu Liu, Luyao Chen, Yubao Chen, Gehui Wang, and Andre S. H. Prevot
EGUsphere, https://doi.org/10.5194/egusphere-2025-92, https://doi.org/10.5194/egusphere-2025-92, 2025
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The 125 organic aerosol (OA) compounds in PM2.5 in winter in Chengdu were measured at the molecular level. OA was dominated by fatty acids, phthalate esters, and anhydrosugars, and were deeply influenced by anthropogenic sources. As pollution worsens: secondary inorganic species and secondary organic carbon (OC) dominated the increase in PM2.5; fatty acids and anhydrosugars dominated the increase in OA; and the contribution of secondary formation and biomass burning to OC increased markedly.
Amie Dobracki, Ernie R. Lewis, Arthur J. Sedlacek III, Tyler Tatro, Maria A. Zawadowicz, and Paquita Zuidema
Atmos. Chem. Phys., 25, 2333–2363, https://doi.org/10.5194/acp-25-2333-2025, https://doi.org/10.5194/acp-25-2333-2025, 2025
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Biomass-burning aerosol is commonly present in the marine boundary layer over the southeast Atlantic Ocean between June and October. Our research indicates that burning conditions, aerosol transport pathways, and prolonged oxidation processes (heterogeneous and aqueous phases) determine the chemical, microphysical, and optical properties of the boundary layer aerosol. Notably, we find that the aerosol optical properties can be estimated from the chemical properties alone.
Benjamin Heutte, Nora Bergner, Hélène Angot, Jakob B. Pernov, Lubna Dada, Jessica A. Mirrielees, Ivo Beck, Andrea Baccarini, Matthew Boyer, Jessie M. Creamean, Kaspar R. Daellenbach, Imad El Haddad, Markus M. Frey, Silvia Henning, Tiia Laurila, Vaios Moschos, Tuukka Petäjä, Kerri A. Pratt, Lauriane L. J. Quéléver, Matthew D. Shupe, Paul Zieger, Tuija Jokinen, and Julia Schmale
Atmos. Chem. Phys., 25, 2207–2241, https://doi.org/10.5194/acp-25-2207-2025, https://doi.org/10.5194/acp-25-2207-2025, 2025
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Limited aerosol measurements in the central Arctic hinder our understanding of aerosol–climate interactions in the region. Our year-long observations of aerosol physicochemical properties during the MOSAiC expedition reveal strong seasonal variations in aerosol chemical composition, where the short-term variability is heavily affected by storms in the Arctic. Local wind-generated particles are shown to be an important source of cloud seeds, especially in autumn.
Feng Jiang, Harald Saathoff, Uzoamaka Ezenobi, Junwei Song, Hengheng Zhang, Linyu Gao, and Thomas Leisner
Atmos. Chem. Phys., 25, 1917–1930, https://doi.org/10.5194/acp-25-1917-2025, https://doi.org/10.5194/acp-25-1917-2025, 2025
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The chemical composition of brown carbon in the particle and gas phase was determined by mass spectrometry. BrC in the gas phase was mainly controlled by secondary formation and particle-to-gas partitioning. BrC in the particle phase was mainly from secondary formation. This work helps to get a better understanding of diurnal variations and the sources of brown carbon aerosol at a rural location in central Europe.
Theresa Mathes, Heather Guy, John Prytherch, Julia Kojoj, Ian Brooks, Sonja Murto, Paul Zieger, Birgit Wehner, Michael Tjernström, and Andreas Held
EGUsphere, https://doi.org/10.5194/egusphere-2025-183, https://doi.org/10.5194/egusphere-2025-183, 2025
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The Arctic is warming faster than the global average and aerosol-cloud-sea-ice interactions are crucial for studying its climate system. During the ARTofMELT Expedition 2023, particle and sensible heat fluxes were measured over multiple surfaces. Wide lead surfaces acted as particle sources with the strongest sensible heat fluxes, while closed ice surfaces acted as a particle sink. This study improves methods to measure these interactions, enhancing our understanding of Arctic climate processes.
Vikram Pratap, Christopher J. Hennigan, Bastian Stieger, Andreas Tilgner, Laurent Poulain, Dominik van Pinxteren, Gerald Spindler, and Hartmut Herrmann
EGUsphere, https://doi.org/10.5194/egusphere-2025-457, https://doi.org/10.5194/egusphere-2025-457, 2025
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In this work, we characterize trends in aerosol pH and its controlling factors over the period of 2010 – 2019 at the Melpitz research station in eastern Germany. We find strong trends in aerosol pH and major inorganic species in response to changing emissions. We conduct a detailed thermodynamic analysis of the aerosol system and discuss implications for controlling PM2.5 in the region.
Rui Li, Yubing Shen, Yumeng Shao, Yining Gao, Ziwei Yao, Qian Liu, Xing Liu, and Guitao Shi
EGUsphere, https://doi.org/10.5194/egusphere-2024-3740, https://doi.org/10.5194/egusphere-2024-3740, 2025
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It is the first time to reveal the global variations of PAHs derivatives in the marine air. We found that marine aerosols in East China Sea (ECS) and Western Pacific (WP) were significantly affected by coal and engine combustion, while those in Bismarck Sea (BS) and East Australian Sea (EAS) were mainly influenced by wildfire and coal combustion. Antarctic Ocean (AO) was dominated by biomass burning and local shipping emissions. This finding help elucidate the mechanism of global PAH cycle.
James Brean, David C. S. Beddows, Eija Asmi, Aki Virkkula, Lauriane L. J. Quéléver, Mikko Sipilä, Floortje Van Den Heuvel, Thomas Lachlan-Cope, Anna Jones, Markus Frey, Angelo Lupi, Jiyeon Park, Young Jun Yoon, Rolf Weller, Giselle L. Marincovich, Gabriela C. Mulena, Roy M. Harrison, and Manuel Dall'Osto
Atmos. Chem. Phys., 25, 1145–1162, https://doi.org/10.5194/acp-25-1145-2025, https://doi.org/10.5194/acp-25-1145-2025, 2025
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Our results emphasise how understanding the geographical variation in surface types across the Antarctic is key to understanding secondary aerosol sources.
Adam E. Thomas, Hayley S. Glicker, Alex B. Guenther, Roger Seco, Oscar Vega Bustillos, Julio Tota, Rodrigo A. F. Souza, and James N. Smith
Atmos. Chem. Phys., 25, 959–977, https://doi.org/10.5194/acp-25-959-2025, https://doi.org/10.5194/acp-25-959-2025, 2025
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We present measurements of the organic composition of ultrafine particles collected from the eastern Amazon, an understudied region that is subjected to increasing human influence. We find that while isoprene chemistry is likely significant for ultrafine-particle growth throughout the year, compounds related to other sources, such as biological-spore emissions and biomass burning, exhibit striking seasonal differences, implying extensive variation in regional ultrafine-particle sources.
Xiufeng Lian, Yongjiang Xu, Fengxian Liu, Long Peng, Xiaodong Hu, Guigang Tang, Xu Dao, Hui Guo, Liwei Wang, Bo Huang, Chunlei Cheng, Lei Li, Guohua Zhang, Xinhui Bi, Xiaofei Wang, Zhen Zhou, and Mei Li
EGUsphere, https://doi.org/10.5194/egusphere-2024-3469, https://doi.org/10.5194/egusphere-2024-3469, 2025
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In this study, we analyzed the mixing state and atmospheric chemical processes of Pb-rich single particles in Beijing. Then, we focused on analyzing the differences in Pb-rich particles between the heating period and non-heating period, as well as the formation mechanism of lead nitrate after coal-to-gas conversion. Our results highlighted the improvement of coal-to-gas conversion on Pb in the particulate.
Chiara Giorio, Anne Monod, Valerio Di Marco, Pierre Herckes, Denise Napolitano, Amy Sullivan, Gautier Landrot, Daniel Warnes, Marika Nasti, Sara D'Aronco, Agathe Gérardin, Nicolas Brun, Karine Desboeufs, Sylvain Triquet, Servanne Chevaillier, Claudia Di Biagio, Francesco Battaglia, Frédéric Burnet, Stuart J. Piketh, Andreas Namwoonde, Jean-François Doussin, and Paola Formenti
EGUsphere, https://doi.org/10.5194/egusphere-2024-4140, https://doi.org/10.5194/egusphere-2024-4140, 2025
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A comparison between the solubility of trace metals in pairs of total suspended particulate (TSP) and fog water samples collected in Henties Bay, Namibia, during the AEROCLO-sA field campaign is presented. We found enhanced solubility of metals in fog samples which we attributed to metal-ligand complexes formation in the early stages of particle activation into droplets which can then remain in a kinetically stable form in fog or lead to the formation of colloidal nanoparticles.
Xu Yu, Min Zhou, Shuhui Zhu, Liping Qiao, Jinjian Li, Yingge Ma, Zijing Zhang, Kezheng Liao, Hongli Wang, and Jian Zhen Yu
EGUsphere, https://doi.org/10.5194/egusphere-2024-4103, https://doi.org/10.5194/egusphere-2024-4103, 2025
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Online measurements of bulk aerosol organic nitrogen (ON), in conjunction with a comprehensive array of source markers, have revealed five emission sources and five potentially significant formation processes of nitrogenous organic aerosols. This study provides first quantitative source analysis of ON aerosol and valuable observational evidence on secondary ON aerosol formation through NH3 and NOx chemistries.
Kumiko Goto-Azuma, Yoshimi Ogawa-Tsukagawa, Kaori Fukuda, Koji Fujita, Motohiro Hirabayashi, Remi Dallmayr, Jun Ogata, Nobuhiro Moteki, Tatsuhiro Mori, Sho Ohata, Yutaka Kondo, Makoto Koike, Sumito Matoba, Moe Kadota, Akane Tsushima, Naoko Nagatsuka, and Teruo Aoki
Atmos. Chem. Phys., 25, 657–683, https://doi.org/10.5194/acp-25-657-2025, https://doi.org/10.5194/acp-25-657-2025, 2025
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Monthly ice core records spanning 350 years from Greenland show trends in refractory black carbon (rBC) concentrations and sizes. rBC levels have increased since the 1870s due to the inflow of anthropogenic rBC, with larger diameters than those from biomass burning (BB) rBC. High summer BB rBC peaks may reduce the ice sheet albedo, but BB rBC showed no increase until the early 2000s. These results are vital for validating aerosol and climate models.
Jiayin Li, Tianyu Zhai, Xiaorui Chen, Haichao Wang, Shuyang Xie, Shiyi Chen, Chunmeng Li, Huabin Dong, and Keding Lu
EGUsphere, https://doi.org/10.5194/egusphere-2024-3804, https://doi.org/10.5194/egusphere-2024-3804, 2025
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We directly measured the dinitrogen pentoxide (N2O5) uptake coefficient which critical impact the NOx fate and particulate nitrate formation in a typical highland city, Kunming, in China. We found the performance of current γ(N2O5) parameterizations showed deviations with the varying aerosol liquid water content (ALWC). Such differences would lead to biased estimation on particulate nitrate production potential. Our findings suggest the directions for future studies.
Mingjie Kang, Mengying Bao, Wenhuai Song, Aduburexiati Abulimiti, Changliu Wu, Fang Cao, Sönke Szidat, and Yanlin Zhang
Atmos. Chem. Phys., 25, 73–91, https://doi.org/10.5194/acp-25-73-2025, https://doi.org/10.5194/acp-25-73-2025, 2025
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Reports on molecular-level knowledge of high-temporal-resolution particulate matter ≤2.5 µm in diameter (PM2.5) on hazy days are limited. We investigated various PM2.5 species and their sources. The results show biomass burning (BB) was the main source of organic carbon. Moreover, BB enhanced fungal spore emissions and secondary aerosol formation. The contribution of non-fossil sources increased with increasing haze pollution, suggesting BB may be an important driver of haze events in winter.
Gregory P. Schill, Karl D. Froyd, Daniel M. Murphy, Christina J. Williamson, Charles A. Brock, Tomás Sherwen, Mat J. Evans, Eric A. Ray, Eric C. Apel, Rebecca S. Hornbrook, Alan J. Hills, Jeff Peischl, Thomas B. Ryerson, Chelsea R. Thompson, Ilann Bourgeois, Donald R. Blake, Joshua P. DiGangi, and Glenn S. Diskin
Atmos. Chem. Phys., 25, 45–71, https://doi.org/10.5194/acp-25-45-2025, https://doi.org/10.5194/acp-25-45-2025, 2025
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Using single-particle mass spectrometry, we show that trace concentrations of bromine and iodine are ubiquitous in remote tropospheric aerosol and suggest that aerosols are an important part of the global reactive iodine budget. Comparisons to a global climate model with detailed iodine chemistry are favorable in the background atmosphere; however, the model cannot replicate our measurements near the ocean surface, in biomass burning plumes, and in the stratosphere.
Yanqin Ren, Zhenhai Wu, Fang Bi, Hong Li, Haijie Zhang, Junling Li, Rui Gao, Fangyun Long, Zhengyang Liu, Yuanyuan Ji, and Gehui Wang
EGUsphere, https://doi.org/10.5194/egusphere-2024-3678, https://doi.org/10.5194/egusphere-2024-3678, 2025
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The daily concentrations of Polycyclic aromatic hydrocarbons (PAHs), oxygenated PAHs (OPAHs), and nitrated phenols (NPs) in PM2.5 were all increased during the heating season. Biomass burning was identified to be the primary source of these aromatic compounds, particularly for PAHs. Phenol and nitrobenzene are two main primary precursors for 4NP, with phenol showing lower reaction barriers. P-Cresol was identified as the primary precursor for the formation of 4-methyl-5-nitrocatechol.
Capucine Camin, François Lacan, Catherine Pradoux, Marie Labatut, Anne Johansen, and James W. Murray
EGUsphere, https://doi.org/10.5194/egusphere-2024-3777, https://doi.org/10.5194/egusphere-2024-3777, 2024
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This manuscript presents the chemical composition of aerosols (> 1µm) over the Equatorial and Tropical Pacific Ocean, presenting the first measurements of iron isotopes in aerosols from this region. Iron concentrations and isotopes were determined using a Neptune MC-ICPMS. Our data analysis reveals that a significant portion of the aerosols undergo dissolution and removal during atmospheric transport. These findings contribute to original conclusions about the chemistry and physics of aerosols.
Andreas Aktypis, Dontavious J. Sippial, Christina N. Vasilakopoulou, Angeliki Matrali, Christos Kaltsonoudis, Andrea Simonati, Marco Paglione, Matteo Rinaldi, Stefano Decesari, and Spyros N. Pandis
Atmos. Chem. Phys., 24, 13769–13791, https://doi.org/10.5194/acp-24-13769-2024, https://doi.org/10.5194/acp-24-13769-2024, 2024
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A dual-chamber system was deployed in two different environments (Po Valley, Italy, and Pertouli forest, Greece) to study the potential of ambient air directly injected into the chambers, to form secondary organic aerosol (SOA). In the Po Valley, the system reacts rapidly, forming large amounts of SOA, while in Pertouli the SOA formation chemistry appears to have been practically terminated before the beginning of most experiments, so there is little additional SOA formation potential left.
Amna Ijaz, Brice Temime-Roussel, Benjamin Chazeau, Sarah Albertin, Stephen R. Arnold, Brice Barrett, Slimane Bekki, Natalie Brett, Meeta Cesler-Maloney, Elsa Dieudonne, Kayane K. Dingilian, Javier G. Fochesatto, Jingqiu Mao, Allison Moon, Joel Savarino, William Simpson, Rodney J. Weber, Kathy S. Law, and Barbara D'Anna
EGUsphere, https://doi.org/10.5194/egusphere-2024-3789, https://doi.org/10.5194/egusphere-2024-3789, 2024
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Fairbanks is among the most polluted cities with the highest particulate matter (PM) levels in the US during winters. Highly time-resolved measurements of the sub-micron PM elucidated residential heating with wood and oil and hydrocarbon-like organics from traffic, as well as sulphur-containing organic aerosol, to be the key pollution sources. Remarkable differences existed between complementary instruments, warranting the deployment of multiple tools at sites with wide-ranging influences.
Fredrik Mattsson, Almuth Neuberger, Liine Heikkinen, Yvette Gramlich, Marco Paglione, Matteo Rinaldi, Stefano Decesari, Paul Zieger, Ilona Riipinen, and Claudia Mohr
EGUsphere, https://doi.org/10.5194/egusphere-2024-3629, https://doi.org/10.5194/egusphere-2024-3629, 2024
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This study investigated aerosol-cloud interactions, focusing on organic nitrogen (ON) formation in the aqueous phase. Measurements were conducted in wintertime Italian Po Valley, using aerosol mass spectrometry. The fog was enriched in more hygroscopic inorganic compounds and ON, containing e.g. imidazoles. The formation of imidazole by aerosol-fog interactions could be confirmed for the first time in atmospheric observations. Findings highlight the role of fog in nitrogen aerosol formation.
Jie Zhang, Tianyu Zhu, Alexandra Catena, Yaowei Li, Margaret J. Schwab, Pengfei Liu, Akua Asa-Awuku, and James Schwab
Atmos. Chem. Phys., 24, 13445–13456, https://doi.org/10.5194/acp-24-13445-2024, https://doi.org/10.5194/acp-24-13445-2024, 2024
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This study shows the derived organic aerosol hygroscopicity under high-humidity conditions based on a simple optical scatter monitor system, including two nephelometric monitors (pDR-1500), when the aerosol chemical composition is already known.
Wei Yuan, Ru-Jin Huang, Chao Luo, Lu Yang, Wenjuan Cao, Jie Guo, and Huinan Yang
Atmos. Chem. Phys., 24, 13219–13230, https://doi.org/10.5194/acp-24-13219-2024, https://doi.org/10.5194/acp-24-13219-2024, 2024
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We characterized water-soluble oxidative potential (OP) levels in wintertime PM2.5 in the south and north of Beijing. Our results show that the volume-normalized dithiothreitol (DTTv) in the north was comparable to that in the south, while the mass-normalized dithiothreitol (DTTm) in the north was almost twice that in the south. Traffic-related emissions and biomass burning were the main sources of DTTv in the south, and traffic-related emissions contributed the most to DTTv in the north.
Mingfu Cai, Chenshuo Ye, Bin Yuan, Shan Huang, E Zheng, Suxia Yang, Zelong Wang, Yi Lin, Tiange Li, Weiwei Hu, Wei Chen, Qicong Song, Wei Li, Yuwen Peng, Baoling Liang, Qibin Sun, Jun Zhao, Duohong Chen, Jiaren Sun, Zhiyong Yang, and Min Shao
Atmos. Chem. Phys., 24, 13065–13079, https://doi.org/10.5194/acp-24-13065-2024, https://doi.org/10.5194/acp-24-13065-2024, 2024
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This study investigated the daytime secondary organic aerosol (SOA) formation in urban plumes. We observed a significant daytime SOA formation through gas–particle partitioning when the site was affected by urban plumes. A box model simulation indicated that urban pollutants (nitrogen oxide and volatile organic compounds) could enhance the oxidizing capacity, while the elevated volatile organic compounds were mainly responsible for promoting daytime SOA formation.
Qingxiao Meng, Yunjiang Zhang, Sheng Zhong, Jie Fang, Lili Tang, Yongcai Rao, Minfeng Zhou, Jian Qiu, Xiaofeng Xu, Jean-Eudes Petit, Olivier Favez, and Xinlei Ge
EGUsphere, https://doi.org/10.5194/egusphere-2024-2776, https://doi.org/10.5194/egusphere-2024-2776, 2024
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We developed a new method to reconstruct missing elemental carbon (EC) data in four Chinese cities from 2013 to 2023. Using machine learning, we accurately filled data gaps and introduced a new approach to analyze EC trends. Our findings reveal a significant decline in EC due to stricter pollution controls, though this slowed after 2020. This study provides a versatile framework for addressing data gaps and supports strategies to reduce urban air pollution and its climate impacts.
Yingjie Shen, Rudra P. Pokhrel, Amy P. Sullivan, Ezra J. T. Levin, Lauren A. Garofalo, Delphine K. Farmer, Wade Permar, Lu Hu, Darin W. Toohey, Teresa Campos, Emily V. Fischer, and Shane M. Murphy
Atmos. Chem. Phys., 24, 12881–12901, https://doi.org/10.5194/acp-24-12881-2024, https://doi.org/10.5194/acp-24-12881-2024, 2024
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The magnitude and evolution of brown carbon (BrC) absorption remain unclear, with uncertainty in climate models. Data from the WE-CAN airborne experiment show that model parameterizations overestimate the mass absorption cross section (MAC) of BrC. Observed decreases in BrC absorption with chemical markers are due to decreasing organic aerosol (OA) mass rather than a decreasing BrC MAC, which is currently implemented in models. Water-soluble BrC contributes 23 % of total absorption at 660 nm.
Qun He, Zhaowen Wang, Houfeng Liu, Pengju Xu, Rongbao Duan, Caihong Xu, Jianmin Chen, and Min Wei
Atmos. Chem. Phys., 24, 12775–12792, https://doi.org/10.5194/acp-24-12775-2024, https://doi.org/10.5194/acp-24-12775-2024, 2024
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Coastal environments provide an ideal setting for investigating the intermixing of terrestrial and marine aerosols. Terrestrial air mass constituted a larger number of microbes from anthropogenic and soil emissions, whereas saprophytic and gut microbes were predominant in marine samples. Mixed air masses indicated a fusion of marine and terrestrial aerosols, characterized by alterations in the ratio of pathogenic and saprophytic microbes when compared to either terrestrial or marine samples.
Rime El Asmar, Zongrun Li, David J. Tanner, Yongtao Hu, Susan O'Neill, L. Gregory Huey, M. Talat Odman, and Rodney J. Weber
Atmos. Chem. Phys., 24, 12749–12773, https://doi.org/10.5194/acp-24-12749-2024, https://doi.org/10.5194/acp-24-12749-2024, 2024
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Prescribed burning is an important method for managing ecosystems and preventing wildfires. However, smoke from prescribed fires can have a significant impact on air quality. Here, using a network of fixed sites and sampling throughout an extended prescribed burning period in 2 different years, we characterize emissions and evolutions of up to 8 h of PM2.5 mass, black carbon (BC), and brown carbon (BrC) in smoke from burning of forested lands in the southeastern USA.
Matthew Boyer, Diego Aliaga, Lauriane L. J. Quéléver, Silvia Bucci, Hélène Angot, Lubna Dada, Benjamin Heutte, Lisa Beck, Marina Duetsch, Andreas Stohl, Ivo Beck, Tiia Laurila, Nina Sarnela, Roseline C. Thakur, Branka Miljevic, Markku Kulmala, Tuukka Petäjä, Mikko Sipilä, Julia Schmale, and Tuija Jokinen
Atmos. Chem. Phys., 24, 12595–12621, https://doi.org/10.5194/acp-24-12595-2024, https://doi.org/10.5194/acp-24-12595-2024, 2024
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We analyze the seasonal cycle and sources of gases that are relevant for the formation of aerosol particles in the central Arctic. Since theses gases can form new particles, they can influence Arctic climate. We show that the sources of these gases are associated with changes in the Arctic environment during the year, especially with respect to sea ice. Therefore, the concentration of these gases will likely change in the future as the Arctic continues to warm.
Binyu Xiao, Fan Zhang, Zeyu Liu, Yan Zhang, Rui Li, Can Wu, Xinyi Wan, Yi Wang, Yubao Chen, Yong Han, Min Cui, Libo Zhang, Yingjun Chen, and Gehui Wang
EGUsphere, https://doi.org/10.5194/egusphere-2024-3433, https://doi.org/10.5194/egusphere-2024-3433, 2024
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Intermediate/semi-volatile organic compounds in both gas and particle phases from ship exhausts are enhanced due to the switch of fuels from low-sulfur to ultra-low-sulfur. The findings indicate that optimization is necessary for the forthcoming global implementation of an ultra-low-sulfur oil policy. Besides, we find that organic diagnostic markers of hopanes, in conjunction with the ratio of octadecanoic to tetradecanoic could be considered as potential tracers for HFO exhausts.
Mutian Ma, Laura-Hélèna Rivellini, Yichen Zong, Markus Kraft, Liya E. Yu, and Alex King Yin Lee
EGUsphere, https://doi.org/10.5194/egusphere-2024-3240, https://doi.org/10.5194/egusphere-2024-3240, 2024
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This work advances our understanding of emission and atmospheric evolution of black carbon (BC) particles in Singapore, a complex urban environment impacted by multiple local and regional combustion sources, based on the improved source apportionment analysis of real-time aerosol mass spectrometry measurement.
Hongyu Zhang, Shenbo Wang, Zhangsen Dong, Xiao Li, and Ruiqin Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2024-2869, https://doi.org/10.5194/egusphere-2024-2869, 2024
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To address this, 12-year observational data in Zhengzhou were investigated and revealed that the resuspension of surrounding soil dust determined the rebound of crustal material concentrations after 2019, further elevating the particle pH. Therefore, the future ammonia reduction policies in North China may not lead to a rapid increase in particle acidity buffering by the crustal materials, but it is necessary to consider synergistic control with dust sources.
Imad El Haddad, Danielle Vienneau, Kaspar R. Daellenbach, Robin Modini, Jay G. Slowik, Abhishek Upadhyay, Petros N. Vasilakos, David Bell, Kees de Hoogh, and Andre S. H. Prevot
Atmos. Chem. Phys., 24, 11981–12011, https://doi.org/10.5194/acp-24-11981-2024, https://doi.org/10.5194/acp-24-11981-2024, 2024
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This opinion paper explores how advances in aerosol science inform our understanding of the health impacts of outdoor particulate pollution. We advocate for a shift in the way we target PM pollution, focusing on the most harmful anthropogenic emissions. We highlight key observations, modelling developments, and emission measurements needed to achieve this shift.
Cited articles
Abdullahi, K. L., Delgado-Saborit, J. M., and Harrison, R. M.: Emissions and
indoor concentrations of particulate matter and its specific chemical
components from cooking: a review, Atmos. Environ., 71, 260–294,
https://doi.org/10.1016/j.atmosenv.2013.01.061, 2013.
Agarwal, R., Shukla, K., Kumar, S., Aggarwal, S. G., and Kawamura, K.:
Chemical composition of waste burning organic aerosols at landfill and urban
sites in Delhi, Atmos. Pollut. Res., 11, 554–565,
https://doi.org/10.1016/j.apr.2019.12.004, 2020.
Ahern, A. T., Robinson, E. S., Tkacik, D. S., Saleh, R., Hatch, L. E.,
Barsanti, K. C., Stockwell, C. E., Yokelson, R. J., Presto, A. A., Robinson,
A. L., Sullivan, R. C., and Donahue, N. M.: Production of secondary organic
aerosol during aging of biomass burning smoke from fresh fuels and its
relationship to VOC precursors, J. Geophys. Res.-Atmos., 124, 3583–3606,
https://onlinelibrary.wiley.com/doi/abs/10.1029/2018JD029068, 2019.
Allan, J. D., Williams, P. I., Morgan, W. T., Martin, C. L., Flynn, M. J., Lee, J., Nemitz, E., Phillips, G. J., Gallagher, M. W., and Coe, H.: Contributions from transport, solid fuel burning and cooking to primary organic aerosols in two UK cities, Atmos. Chem. Phys., 10, 647–668, https://doi.org/10.5194/acp-10-647-2010, 2010.
Apte, J. S. and Pant, P.: Toward cleaner air for a billion Indians,
P. Natl. Acad. Sci. USA, 166, 10614–10616,
https://doi.org/10.1073/pnas.1905458116, 2019.
Apte, J. S., Marshall, J. D., Cohen, A. J., and Brauer, M.: Addressing
global mortality from ambient PM2.5, Environ. Sci.
Technol., 49, 8057–8066, https://doi.org/10.1021/acs.est.5b01236,
2015.
ARAI and TERI: Source apportionment of PM2.5 and PM10 of Delhi NCR
for identification of major sources,
https://www.teriin.org/project/source-apportionment-pm25-pm10-delhi-ncr-identification-major-sources
(last access: 20 March 2022), 2018
Arub, Z., Bhandari, S., Gani, S., Apte, J. S., Hildebrandt Ruiz, L., and Habib, G.: Air mass physiochemical characteristics over New Delhi: impacts on aerosol hygroscopicity and cloud condensation nuclei (CCN) formation, Atmos. Chem. Phys., 20, 6953–6971, https://doi.org/10.5194/acp-20-6953-2020, 2020.
Bahreini, R., Keywood, M. D., Ng, N. L., Varutbangkul, V., Gao, S., Flagan,
R. C., Seinfeld, J. H., Worsnop, D. R., and Jimenez, J. L.: Measurements of
secondary organic aerosol from oxidation of cycloalkenes, terpenes, and
m-xylene using an aerodyne aerosol mass spectrometer, Environ. Sci. Technol., 39, 5674–5688,
https://doi.org/10.1021/es048061a, 2005.
Bhandari, S., Gani, S., Patel, K., Wang, D. S., Soni, P., Arub, Z., Habib, G., Apte, J. S., and Hildebrandt Ruiz, L.: Sources and atmospheric dynamics of organic aerosol in New Delhi, India: insights from receptor modeling, Atmos. Chem. Phys., 20, 735–752, https://doi.org/10.5194/acp-20-735-2020, 2020.
Bhandari, S., Arub, Z., Habib, G., Apte, J. S., and Hildebrandt Ruiz, L.: Source apportionment resolved by time of day for improved deconvolution of primary source contributions to air pollution, Atmos. Meas. Tech., 15, 6051–6074, https://doi.org/10.5194/amt-15-6051-2022, 2022.
Brown, S. G., Lee, T., Norris, G. A., Roberts, P. T., Collett Jr., J. L., Paatero, P., and Worsnop, D. R.: Receptor modeling of near-roadway aerosol mass spectrometer data in Las Vegas, Nevada, with EPA PMF, Atmos. Chem. Phys., 12, 309–325, https://doi.org/10.5194/acp-12-309-2012, 2012.
Canonaco, F., Slowik, J. G., Baltensperger, U., and Prévôt, A. S. H.: Seasonal differences in oxygenated organic aerosol composition: implications for emissions sources and factor analysis, Atmos. Chem. Phys., 15, 6993–7002, https://doi.org/10.5194/acp-15-6993-2015, 2015.
Cappa, C. D. and Jimenez, J. L.: Quantitative estimates of the volatility of ambient organic aerosol, Atmos. Chem. Phys., 10, 5409–5424, https://doi.org/10.5194/acp-10-5409-2010, 2010.
Cash, J. M., Langford, B., Di Marco, C., Mullinger, N. J., Allan, J., Reyes-Villegas, E., Joshi, R., Heal, M. R., Acton, W. J. F., Hewitt, C. N., Misztal, P. K., Drysdale, W., Mandal, T. K., Shivani, Gadi, R., Gurjar, B. R., and Nemitz, E.: Seasonal analysis of submicron aerosol in Old Delhi using high-resolution aerosol mass spectrometry: chemical characterisation, source apportionment and new marker identification, Atmos. Chem. Phys., 21, 10133–10158, https://doi.org/10.5194/acp-21-10133-2021, 2021.
Collaborative Clean Air Policy Centre: Can an airshed governance framework
in India spur clean air for all?, Lessons from Mexico City and Los Angeles,
https://ccapc.org.in/policy-briefs/2020/lessonsonairshedgovernance (last access: 20 March 2022), 2020.
Chowdhury, Z., Zheng, M., Schauer, J. J., Sheesley, R. J., Salmon, L. G.,
Cass, G. R., and Russell, A. G.: Speciation of ambient fine organic carbon
particles and source apportionment of PM2.5 in Indian cities, J. Geophys. Res.-Atmos., 112, D15303,
https://doi.org/10.1029/2007JD008386, 2007.
Conibear, L., Butt, E. W., Knote, C., Arnold, S. R., and Spracklen, D. V.:
Residential energy use emissions dominate health impacts from exposure to
ambient particulate matter in India, Nat. Commun., 9, 1–9, https://doi.org/10.1038/s41467-018-02986-7, 2018.
Central Pollution Control Board: Air quality monitoring, emission inventory
and source apportionment study for Indian cities, National summary
report, https://cpcb.nic.in/source-apportionment-studies/ (last access: 20 March 2022), 2010.
Crippa, M., Solazzo, E., Huang, G., Guizzardi, D., Koffi, E., Muntean, M.,
Schieberle, C., Friedrich, R., and Janssens-Maenhout, G.: High resolution
temporal profiles in the Emissions Database for Global Atmospheric Research,
Sci. Data, 7, 1–17, 2020.
Dai, Q., Liu, B., Bi, X., Wu, J., Liang, D., Zhang, Y., Feng, Y., and Hopke,
P. K.: Dispersion normalized PMF provides insights into the significant
changes in source contributions to PM2.5 after the CoviD-19 outbreak,
Environ. Sci. Technol., 54, 9917–9927,
https://doi.org/10.1021/acs.est.0c02776, 2020.
Dallmann, T. R., Onasch, T. B., Kirchstetter, T. W., Worton, D. R., Fortner, E. C., Herndon, S. C., Wood, E. C., Franklin, J. P., Worsnop, D. R., Goldstein, A. H., and Harley, R. A.: Characterization of particulate matter emissions from on-road gasoline and diesel vehicles using a soot particle aerosol mass spectrometer, Atmos. Chem. Phys., 14, 7585–7599, https://doi.org/10.5194/acp-14-7585-2014, 2014.
Dall'Osto, M., Ovadnevaite, J., Ceburnis, D., Martin, D., Healy, R. M., O'Connor, I. P., Kourtchev, I., Sodeau, J. R., Wenger, J. C., and O'Dowd, C.: Characterization of urban aerosol in Cork city (Ireland) using aerosol mass spectrometry, Atmos. Chem. Phys., 13, 4997–5015, https://doi.org/10.5194/acp-13-4997-2013, 2013.
Dall'Osto, M., Paglione, M., Decesari, S., Facchini, M. C., O'Dowd, C.,
Plass-Duellmer, C., and Harrison, R. M.: On the origin of AMS “cooking
organic aerosol” at a rural site, Environ. Sci. Technol., 49,
13964–13972,
2015.
DeCarlo, P. F.: Beyond PM2.5 mass: Use of particle composition measurements
to identify and quantify air pollution sources, AGU Fall Meeting,
https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/933637, last access: 19 December 2021.
DEFRA, UK: Estimation of changes in air pollution emissions, concentrations,
and exposure during the COVID-19 outbreak in the UK,
https://uk-air.defra.gov.uk/library/reports?report_id=1005 (last access: 20 March 2022), 2020.
Donahue, N. M., Robinson, A. L., Stanier, C. O., and Pandis, S. N.: Coupled
partitioning, dilution, and chemical aging of semivolatile organics,
Environ. Sci. Technol., 40, 2635–2643,
https://doi.org/10.1021/es052297c, 2006.
Drinovec, L., Močnik, G., Zotter, P., Prévôt, A. S. H., Ruckstuhl, C., Coz, E., Rupakheti, M., Sciare, J., Müller, T., Wiedensohler, A., and Hansen, A. D. A.: The “dual-spot” Aethalometer: an improved measurement of aerosol black carbon with real-time loading compensation, Atmos. Meas. Tech., 8, 1965–1979, https://doi.org/10.5194/amt-8-1965-2015, 2015.
Drosatou, A. D., Skyllakou, K., Theodoritsi, G. N., and Pandis, S. N.: Positive matrix factorization of organic aerosol: insights from a chemical transport model, Atmos. Chem. Phys., 19, 973–986, https://doi.org/10.5194/acp-19-973-2019, 2019.
Fu, P. Q., Kawamura, K., Pavuluri, C. M., Swaminathan, T., and Chen, J.: Molecular characterization of urban organic aerosol in tropical India: contributions of primary emissions and secondary photooxidation, Atmos. Chem. Phys., 10, 2663–2689, https://doi.org/10.5194/acp-10-2663-2010, 2010.
Gadi, R., Shivani, Sharma, S. K., and Mandal, T. K.: Source apportionment
and health risk assessment of organic constituents in fine ambient aerosols
(PM2.5): a complete year study over National Capital Region of India,
Chemosphere, 221, 583–596,
https://doi.org/10.1016/j.chemosphere.2019.01.067, 2019.
Ganguly, T., Selvaraj, K. L., and Guttikunda, S. K.: National Clean Air
Programme (NCAP) for Indian cities: review and outlook of clean air action
plans, Atmos. Environ., 8, 100096,
https://doi.org/10.1016/j.aeaoa.2020.100096, 2020.
Gani, S., Bhandari, S., Seraj, S., Wang, D. S., Patel, K., Soni, P., Arub, Z., Habib, G., Hildebrandt Ruiz, L., and Apte, J. S.: Submicron aerosol composition in the world's most polluted megacity: the Delhi Aerosol Supersite study, Atmos. Chem. Phys., 19, 6843–6859, https://doi.org/10.5194/acp-19-6843-2019, 2019.
Gani, S., Bhandari, S., Patel, K., Seraj, S., Soni, P., Arub, Z., Habib, G., Hildebrandt Ruiz, L., and Apte, J. S.: Particle number concentrations and size distribution in a polluted megacity: the Delhi Aerosol Supersite study, Atmos. Chem. Phys., 20, 8533–8549, https://doi.org/10.5194/acp-20-8533-2020, 2020.
GBD MAPS Working Group: Burden of Disease Attributable to Major Air
Pollution Sources in India: Special Report 21,
https://www.healtheffects.org/publication/gbd-air-pollution-india (last
access: 5 November 2019), 2018.
Grieshop, A. P., Donahue, N. M., and Robinson, A. L.: Laboratory investigation of photochemical oxidation of organic aerosol from wood fires 2: analysis of aerosol mass spectrometer data, Atmos. Chem. Phys., 9, 2227–2240, https://doi.org/10.5194/acp-9-2227-2009, 2009.
Gulia, S., Mittal, A., and Khare, M.: Quantitative evaluation of source
interventions for urban air quality improvement – a case study of Delhi
city, Atmos. Pollut. Res., 9, 577–583,
https://doi.org/10.1016/j.apr.2017.12.003, 2018.
Guo, H., Kota, S. H., Sahu, S. K., Hu, J., Ying, Q., Gao, A., and Zhang, H.:
Source apportionment of PM2.5 in North India using source-oriented air
quality models, Environ. Pollut., 231, 426–436,
https://doi.org/10.1016/j.envpol.2017.08.016, 2017.
Guo, H., Kota, S. H., Chen, K., Sahu, S. K., Hu, J., Ying, Q., Wang, Y., and Zhang, H.: Source contributions and potential reductions to health effects of particulate matter in India, Atmos. Chem. Phys., 18, 15219–15229, https://doi.org/10.5194/acp-18-15219-2018, 2018.
Guo, H., Kota, S. H., Sahu, S. K., and Zhang, H.: Contributions of local and
regional sources to PM2.5 and its health effects in north India,
Atmos. Environ., 214, 116867,
https://doi.org/10.1016/j.atmosenv.2019.116867, 2019.
Guttikunda, S. K. and Calori, G.: A GIS based emissions inventory at 1 km × 1 km spatial resolution for air pollution analysis in Delhi,
India, Atmos. Environ., 67, 101–111,
https://doi.org/10.1016/j.atmosenv.2012.10.040, 2013.
He, L.-Y., Lin, Y., Huang, X.-F., Guo, S., Xue, L., Su, Q., Hu, M., Luan, S.-J., and Zhang, Y.-H.: Characterization of high-resolution aerosol mass spectra of primary organic aerosol emissions from Chinese cooking and biomass burning, Atmos. Chem. Phys., 10, 11535–11543, https://doi.org/10.5194/acp-10-11535-2010, 2010.
Hildebrandt Ruiz, L. and Bhandari, S.: Data published in “Contributions of primary sources to submicron organic aerosols in Delhi, India”, Texas Data Repository [data set], https://doi.org/10.18738/T8/8FAEDU, 2022.
Hu, W. W., Hu, M., Yuan, B., Jimenez, J. L., Tang, Q., Peng, J. F., Hu, W., Shao, M., Wang, M., Zeng, L. M., Wu, Y. S., Gong, Z. H., Huang, X. F., and He, L. Y.: Insights on organic aerosol aging and the influence of coal combustion at a regional receptor site of central eastern China, Atmos. Chem. Phys., 13, 10095–10112, https://doi.org/10.5194/acp-13-10095-2013, 2013.
Hu, W. W., Hu, M., Hu, W., Jimenez, J. L., Yuan, B., Chen, W., Wang, M., Wu,
Y., Chen, C., Wang, Z., Peng, J., Zeng, L., and Shao, M.: Chemical
composition, sources, and aging process of submicron aerosols in Beijing:
contrast between summer and winter, J. Geophys. Res., 121,
1955–1977, https://doi.org/10.1002/2015JD024020, 2016.
Indian National Science Academy: Seasons of Delhi,
https://www.insaindia.res.in/climate.php (last access: 20 March 2022), 2018.
Jain, S., Sharma, S. K., Vijayan, N., and Mandal, T. K.: Investigating the
seasonal variability in source contribution to PM2.5 and PM10
using different receptor models during 2013–2016 in Delhi, India,
Environ. Sci. Pollut. Res., 28, 4660–4675,
https://doi.org/10.1007/s11356-020-10645-y, 2021.
Jaiprakash, S. A., Habib, G., Raman, R. S., and Gupta, T.: Chemical
characterization of PM1 aerosol in Delhi and source apportionment using
positive matrix factorization, Environ. Sci. Pollut. Res.,
24, 445–462, https://doi.org/10.1007/s11356-016-7708-8, 2017.
Kaltsonoudis, C., Kostenidou, E., Louvaris, E., Psichoudaki, M., Tsiligiannis, E., Florou, K., Liangou, A., and Pandis, S. N.: Characterization of fresh and aged organic aerosol emissions from meat charbroiling, Atmos. Chem. Phys., 17, 7143–7155, https://doi.org/10.5194/acp-17-7143-2017, 2017.
IIT Kanpur: Comprehensive study on air pollution and greenhouse gases (GHGs)
in Delhi, https://cerca.iitd.ac.in/uploads/Reports/1576211826iitk.pdf, (last access: 20 March 2022) 2016.
Kar, A., Pachauri, S., Bailis, R., and Zerriffi, H.: Capital cost subsidies
through India's Ujjwala cooking gas programme promote rapid adoption of
liquefied petroleum gas but not regular use, Nat. Energ., 5, 125–126,
https://doi.org/10.1038/s41560-019-0429-8, 2020.
Karnezi, E., Louvaris, E., Kostenidou, E., Florou, K., Cain, K., and Pandis,
S.: Discrepancies between the volatility distributions of OA in the ambient
atmosphere and the laboratory, International Aerosol Conference,
http://aaarabstracts.com/2018IAC/viewabstract.php?pid=870, last access: 7 September 2018.
Khare, P., Machesky, J., Soto, R., He, M., Presto, A. A., and Gentner, D.
R.: Asphalt-related emissions are a major missing nontraditional source of
secondary organic aerosol precursors, Sci. Adv., 58, 562–586,
https://doi.org/10.1126/sciadv.abb9785, 2021.
Kodros, J. K., Papanastasiou, D. K., Paglione, M., Masiol, M., Squizzato,
S., Florou, K., Skyllakou, K., Kaltsonoudis, C., Nenes, A., and Pandis, S.
N.: Rapid dark aging of biomass burning as an overlooked source of oxidized
organic aerosol, P. Natl. Acad. Sci. USA, 117,
33028–33033, https://doi.org/10.1073/pnas.2010365117,
2020.
Kostenidou, E., Karnezi, E., Hite Jr., J. R., Bougiatioti, A., Cerully, K., Xu, L., Ng, N. L., Nenes, A., and Pandis, S. N.: Organic aerosol in the summertime southeastern United States: components and their link to volatility distribution, oxidation state and hygroscopicity, Atmos. Chem. Phys., 18, 5799–5819, https://doi.org/10.5194/acp-18-5799-2018, 2018.
Kroll, J. H., Smith, J. D., Worsnop, D. R., and Wilson, K. R.:
Characterisation of lightly oxidized organic aerosol formed from the
photochemical aging of diesel exhaust particles, Environ. Chem., 9,
211–220, https://doi.org/10.1071/EN11162, 2012.
Kumar, S., Aggarwal, S. G., Gupta, P. K., and Kawamura, K.: Investigation of
the tracers for plastic-enriched waste burning aerosols, Atmos. Environ., 108, 49–58,
https://doi.org/10.1016/j.atmosenv.2015.02.066, 2015.
Kumari, P. and Mandal, P.: Indoor air pollution at restaurant kitchen in
Delhi NCR, Sustainability in Environmental Engineering and Science,
159–165, https://doi.org/10.1007/978-981-15-6887-9_18,
2021.
Lalchandani, V., Kumar, V., Tobler, A., Thamban, N.M., Mishra, S., Slowik,
J.G., Bhattu, D., Rai, P., Satish, R., Ganguly, D. and Tiwari, S.: Real-time
characterization and source apportionment of fine particulate matter in the
Delhi megacity area during late winter, Sci. Total
Environ., 770, 145324, https://doi.org/10.1016/j.scitotenv.2021.145324, 2021.
Lelieveld, J. and Crutzen, P. J.: The role of clouds in tropospheric
photochemistry, J. Atmos. Chem., 12, 229–267, 1991.
Lin, C., Ceburnis, D., Hellebust, S., Buckley, P., Wenger, J., Canonaco, F.,
Prévôt, A. S. H., Huang, R. J., O'Dowd, C., and Ovadnevaite, J.:
Characterization of primary organic aerosol from domestic wood, peat, and
coal burning in Ireland, Environ. Sci. Technol., 51,
10624–10632, https://doi.org/10.1021/acs.est.7b01926, 2017.
Liu, H., Qi, L., Liang, C., Deng, F., Man, H., and He, K.: How aging process
changes characteristics of vehicle emissions? a review, Crit. Rev. Env. Sci. Tec., 50, 1796–1828, 2020.
Liu, T., Liu, Q., Li, Z., Huo, L., Chan, M. N., Li, X., Zhou, Z., and Chan,
C. K.: Emission of volatile organic compounds and production of secondary
organic aerosol from stir-frying spices, Sci. Total Environ.,
599, 1614–1621, https://doi.org/10.1016/j.scitotenv.2017.05.147,
2017.
Liu, T., Wang, Z., Wang, X., and Chan, C. K.: Primary and secondary organic aerosol from heated cooking oil emissions, Atmos. Chem. Phys., 18, 11363–11374, https://doi.org/10.5194/acp-18-11363-2018, 2018.
Louvaris, E. E., Florou, K., Karnezi, E., Papanastasiou, D. K., Gkatzelis,
G. I., and Pandis, S. N.: Volatility of source apportioned wintertime
organic aerosol in the city of Athens, Atmos. Environ., 158,
138–147, https://doi.org/10.1016/j.atmosenv.2017.03.042, 2017.
Milsom, A., Squires, A. M., Woden, B., Terrill, N. J., Ward, A. D., and Pfrang,
C.: The persistence of a proxy for cooking emissions in megacities: a
kinetic study of the ozonolysis of self-assembled films by simultaneous
small and wide angle X-ray scattering (SAXS/WAXS) and Raman microscopy,
Faraday Discuss., 226, 364–381, https://doi.org/10.1039/D0FD00088D,
2020.
Ministry of Law and Justice, Government of India: The Commission for Air
Quality Management in National Capital Region and Adjoining Areas Ordinance,
http://www.indiaenvironmentportal.org.in/content/469022/the-commission-for-air-quality-management-in-national-capital-region-and-adjoining-areas-ordinance-2020/
(last access: 20 March 2022), 2020.
Mishra, R. K., Pandey, A., Pandey, G., and Kumar, A.: The effect of odd-even
driving scheme on PM2.5 and PM1.0 emission, Transp. Res. D. Transp., 67, 541–552,
https://doi.org/10.1016/j.trd.2019.01.005, 2019.
Misra, P., Imasu, R., Hayashida, S., Arbain, A. A., Avtar, R., and Takeuchi,
W.: Mapping brick kilns to support environmental impact studies around Delhi
using Sentinel-2, ISPRS Int. J. Geo-Info., 9, 544,
https://www.mdpi.com/2220-9964/9/9/544 (last access: 20 March 2022), 2020.
Mitra, A. and Sharma, C.: Indian aerosols: Present status, Chemosphere, 49,
1175–1190, https://doi.org/10.1016/S0045-6535(02)00247-3, 2002.
Mohr, C., Huffman, J. A., Cubison, M. J., Aiken, A. C., Docherty, K. S.,
Kimmel, J. R., Ulbrich, I. M., Hannigan, M., and Jimenez, J. L.:
Characterization of primary organic aerosol emissions from meat cooking,
trash burning, and motor vehicles with high-resolution aerosol mass
spectrometry and comparison with ambient and chamber observations,
Environ. Sci. Technol., 43, 2443–2449,
https://doi.org/10.1021/es8011518, 2009.
Mönkkönen, P., Uma, R., Srinivasan, D., Koponen, I., Lehtinen, K.,
Hämeri, K., Suresh, R., Sharma, V., and Kulmala, M.: Relationship and
variations of aerosol number and PM10 mass concentrations in a highly
polluted urban environment – New Delhi, India, Atmos. Environ., 38,
425–433, https://doi.org/10.1016/j.atmosenv.2003.09071, 2004.
Mönkkönen, P., Koponen, I. K., Lehtinen, K. E. J., Hämeri, K., Uma, R., and Kulmala, M.: Measurements in a highly polluted Asian mega city: observations of aerosol number size distribution, modal parameters and nucleation events, Atmos. Chem. Phys., 5, 57–66, https://doi.org/10.5194/acp-5-57-2005, 2005a.
Mönkkönen, P., Pai, P., Maynard, A., E J Lehtinen, K., Hämeri,
K., Rechkemmer, P., Ramachandran, G., Prasad, B., and Kulmala, M.: Fine
particle number and mass concentration measurements in urban Indian
households, Sci. Total Environ., 347, 131–147,
https://doi.org/10.1016/j.scitotenv.2004.12.023, 2005b.
Nagar, P. K., Singh, D., Sharma, M., Kumar, A., Aneja, V. P., George, M. P.,
Agarwal, N., and Shukla, S. P.: Characterization of PM2.5 in Delhi:
role and impact of secondary aerosol, burning of biomass, and municipal
solid waste and crustal matter, Environ. Sci. Pollut. Res., 24, 25179–25189, https://doi.org/10.1007/s11356-017-0171-3,
2017.
Nagpure, A. S., Ramaswami, A., and Russell, A.: Characterizing the spatial
and temporal patterns of open burning of municipal solid waste (MSW) in
Indian cities, Environ. Sci. Technol., 49, 12911–12912,
https://doi.org/10.1021/acs.est.5b03243, 2015.
Nair, D. J., Gilles, F., Chand, S., Saxena, N., and Dixit, V.:
Characterizing multicity urban traffic conditions using crowdsourced data,
PLOS ONE, 14, e0212845,
https://dx.plos.org/10.1371/journal.pone.0212845, 2019.
NASA Jet Propulsion Laboratory: Getting to the heart of the (particulate)
matter – climate change: vital signs of the planet,
https://climate.nasa.gov/news/3027/getting-to-the-heart-of-the-particulate-matter/ (last access: 20 March 2022), 2020.
NERC-MRC-MoES-DBT: Atmospheric Pollution and Human Health in an Indian
megacity, https://www.urbanair-india.org/ (last access: 20 March 2022), 2021.
Ng, N. L., Canagaratna, M. R., Zhang, Q., Jimenez, J. L., Tian, J., Ulbrich, I. M., Kroll, J. H., Docherty, K. S., Chhabra, P. S., Bahreini, R., Murphy, S. M., Seinfeld, J. H., Hildebrandt, L., Donahue, N. M., DeCarlo, P. F., Lanz, V. A., Prévôt, A. S. H., Dinar, E., Rudich, Y., and Worsnop, D. R.: Organic aerosol components observed in Northern Hemispheric datasets from Aerosol Mass Spectrometry, Atmos. Chem. Phys., 10, 4625–4641, https://doi.org/10.5194/acp-10-4625-2010, 2010.
Ng, N. L., Canagaratna, M. R., Jimenez, J. L., Zhang, Q., Ulbrich, I. M.,
and Worsnop, D. R.: Realtime methods for estimating organic component mass
concentrations from aerosol mass spectrometer data, Environ. Sci. Technol., 45, 910–916,
https://pubs.acs.org/doi/abs/10.1021/es102951k, 2011a.
Ng, N. L., Herndon, S. C., Trimborn, A., Canagaratna, M. R., Croteau, P. L.,
Onasch, T. B., Sueper, D., Worsnop, D. R., Zhang, Q., Sun, Y. L., and Jayne,
J. T.: An Aerosol Chemical Speciation Monitor (ACSM) for routine monitoring
of the composition and mass concentrations of ambient aerosol, Aerosol
Sci. Technol., 45, 780–794, 2011b.
Norris, G., Duvall, R., Brown, S., and Bai, S.: EPA Positive Matrix
Factorization 5.0 fundamentals and user guide,
https://www.epa.gov/air-research/epa-positive-matrix-factorization-50-fundamentals-and-user-guide,
(last access: 20 March 2022), 2014.
Paatero, P.: The Multilinear Engine – a table-driven, least squares program
for solving multilinear problems, including the n-way parallel factor
analysis model, J. Comput. Graph. Stat., 8,
854–888, 1999.
Paatero, P. and Tapper, U.: Positive matrix factorization: a non-negative
factor model with optimal utilization of error estimates of data values,
Environmetrics, 5, 111–126, https://doi.org/10.1002/env.3170050203,
1994.
Paatero, P., Hopke, P. K., Song, X. H., and Ramadan, Z.: Understanding and
controlling rotations in factor analytic models, Chemomet. Int. Labor. Syst., 60, 253–264,
https://doi.org/10.1016/S0169-7439(01)00200-3, 2002.
Paciga, A., Karnezi, E., Kostenidou, E., Hildebrandt, L., Psichoudaki, M., Engelhart, G. J., Lee, B.-H., Crippa, M., Prévôt, A. S. H., Baltensperger, U., and Pandis, S. N.: Volatility of organic aerosol and its components in the megacity of Paris, Atmos. Chem. Phys., 16, 2013–2023, https://doi.org/10.5194/acp-16-2013-2016, 2016.
Pant, P. and Harrison, R. M.: Critical review of receptor modelling for
particulate matter: A case study of India, Atmos. Environ., 49,
1–12, https://doi.org/10.1016/j.atmosenv.2011.11.060, 2012.
Pant, P., Shukla, A., Kohl, S. D., Chow, J. C., Watson, J. G., and Harrison,
R. M.: Characterization of ambient PM2.5 at a pollution hotspot in New
Delhi, India and inference of sources, Atmos. Environ., 109,
178–189, https://doi.org/10.1016/j.atmosenv.2015.02.074, 2015.
Pant, P., Guttikunda, S. K., and Peltier, R. E.: Exposure to particulate
matter in India: A synthesis of findings and future directions,
Environ. Res., 147, 480–496,
https://doi.org/10.1016/j.envres.2016.03.011, 2016.
Pant, P., Habib, G., Marshall, J. D., and Peltier, R. E.: PM2.5
exposure in highly polluted cities: a case study from New Delhi, India,
Environ. Res., 156, 167–174,
https://doi.org/10.1016/j.envres.2017.03.024, 2017.
Park, M. B., Lee, T. J., Lee, E. S., and Kim, D. S.: Enhancing source
identification of hourly PM2.5 data in Seoul based on a dataset
segmentation scheme by positive matrix factorization (PMF), Atmos. Pollut. Res., 10, 1042–1059,
https://doi.org/10.1016/j.apr.2019.01.013, 2019.
Patel, K., Bhandari, S., Gani, S., Campmier, M. J., Kumar, P., Habib, G.,
Apte, J., and Ruiz, L. H.: Sources and dynamics of submicron aerosol during
the Autumn onset of the air pollution season in Delhi, India, ACS Earth Space Chem., 5, 118–128, 2021a.
Patel, K., Campmier, M.J., Bhandari, S., Baig, N., Gani, S., Habib, G.,
Apte, J.S. and Hildebrandt Ruiz, L., 2021. Persistence of Primary and
Secondary Pollutants in Delhi: Concentrations and Composition from 2017
through the COVID Pandemic, Environ. Sci. Technol. Lett.,
8, 492–497, https://doi.org/10.1021/acs.estlett.1c00211, 2021b.
Pauraite, J., Pivoras, A., Plauškaite, K., Bycenkiene, S., Mordas, G.,
Augustaitis, A., Marozas, V., Mozgeris, G., Baumgarten, M., Matyssek, R.,
and Ulevicius, V.: Characterization of aerosol mass spectra responses to
temperature over a forest site in Lithuania, J. Aerosol Sci.,
133, 56–65, https://doi.org/10.1016/j.jaerosci.2019.03.010, 2019.
Platt, S. M.: Primary emissions and secondary organic aerosol formation from
road vehicles, Doctoral thesis, ETH Zurich,
https://doi.org/10.3929/ethz-a-010476708, 2014.
Platt, S. M., El Haddad, I., Zardini, A. A., Clairotte, M., Astorga, C., Wolf, R., Slowik, J. G., Temime-Roussel, B., Marchand, N., Ježek, I., Drinovec, L., Močnik, G., Möhler, O., Richter, R., Barmet, P., Bianchi, F., Baltensperger, U., and Prévôt, A. S. H.: Secondary organic aerosol formation from gasoline vehicle emissions in a new mobile environmental reaction chamber, Atmos. Chem. Phys., 13, 9141–9158, https://doi.org/10.5194/acp-13-9141-2013, 2013.
Pope, C. A. and Dockery, D. W.: Health effects of fine particulate air
pollution: Lines that connect, J. Air Waste Manage.
Assoc., 56, 709–742,
https://doi.org/10.1080/10473289.2006.10464485, 2006.
R Core Team: R: A language and environment for statistical computing, R
Foundation for Statistical Computing, Vienna, Austria,
https://www.R-project.org/ (last access: 20 March 2022), 2019.
Reyes-Villegas, E., Panda, U., Darbyshire, E., Cash, J. M., Joshi, R., Langford, B., Di Marco, C. F., Mullinger, N. J., Alam, M. S., Crilley, L. R., Rooney, D. J., Acton, W. J. F., Drysdale, W., Nemitz, E., Flynn, M., Voliotis, A., McFiggans, G., Coe, H., Lee, J., Hewitt, C. N., Heal, M. R., Gunthe, S. S., Mandal, T. K., Gurjar, B. R., Shivani, Gadi, R., Singh, S., Soni, V., and Allan, J. D.: PM1 composition and source apportionment at two sites in Delhi, India, across multiple seasons, Atmos. Chem. Phys., 21, 11655–11667, https://doi.org/10.5194/acp-21-11655-2021, 2021.
Robinson, E. S., Gu, P., Ye, Q., Li, H. Z., Shah, R. U., Apte, J. S.,
Robinson, A. L., and Presto, A. A.: Restaurant impacts on outdoor air
quality: elevated organic aerosol mass from restaurant cooking with
neighborhood-scale plume extents, Environ. Sci. Technol., 52,
9285–9294, https://pubs.acs.org/doi/abs/10.1021/acs.est.8b02654, 2018.
Rooney, B., Zhao, R., Wang, Y., Bates, K. H., Pillarisetti, A., Sharma, S., Kundu, S., Bond, T. C., Lam, N. L., Ozaltun, B., Xu, L., Goel, V., Fleming, L. T., Weltman, R., Meinardi, S., Blake, D. R., Nizkorodov, S. A., Edwards, R. D., Yadav, A., Arora, N. K., Smith, K. R., and Seinfeld, J. H.: Impacts of household sources on air pollution at village and regional scales in India, Atmos. Chem. Phys., 19, 7719–7742, https://doi.org/10.5194/acp-19-7719-2019, 2019.
Sage, A. M., Weitkamp, E. A., Robinson, A. L., and Donahue, N. M.: Evolving mass spectra of the oxidized component of organic aerosol: results from aerosol mass spectrometer analyses of aged diesel emissions, Atmos. Chem. Phys., 8, 1139–1152, https://doi.org/10.5194/acp-8-1139-2008, 2008.
Sawlani, R., Agnihotri, R., and Sharma, C.: Chemical and isotopic
characteristics of PM2.5 over New Delhi from September 2014 to May
2015: evidences for synergy between air-pollution and meteorological
changes, Sci. Total Environ., 763, 142966, https://doi.org/10.1016/j.scitotenv.2020.142966, 2020.
Schneider, J., Weimer, S., Drewnick, F., Borrmann, S., Helas, G., Gwaze, P.,
Schmid, O., Andreae, M. O., and Kirchner, U.: Mass spectrometric analysis
and aerodynamic properties of various types of combustion-related aerosol
particles, Int. J. Mass Spectrom., 258, 37–49,
https://doi.org/10.1016/j.ijms.2006.07.008, 2006.
Sharma, D. N., Sawant, A. A., Uma, R., and Cocker, D. R.: Preliminary
chemical characterization of particle-phase organic compounds in New Delhi,
India, Atmos. Environ., 37, 4317–4323,
https://doi.org/10.1016/S1352-2310(03)00563-6, 2003.
Sharma, S. and Mandal, T.: Chemical composition of fine mode particulate
matter (PM2.5) in an urban area of Delhi, India and its source
apportionment, Urban Clim., 21, 106–122,
https://doi.org/10.1016/j.uclim.2017.05.009, 2017.
Shivani, Gadi, R., Sharma, S. K., and Mandal, T. K.: Seasonal variation,
source apportionment and source attributed health risk of fine carbonaceous
aerosols over National Capital Region, India, Chemosphere, 237, 124500,
https://doi.org/10.1016/j.chemosphere.2019.124500, 2019.
Shukla, A. K., Lalchandani, V., Bhattu, D., Dave, J. S., Rai, P., Thamban,
N. M., Mishra, S., Gaddamidi, S., Tripathi, N., Vats, P., and Rastogi, N.:
Real-time quantification and source apportionment of fine particulate matter
including organics and elements in Delhi during summertime, Atmos. Environ., 261, 118598, https://doi.org/10.1016/j.atmosenv.2021.118598, 2021.
Srivastava, A., Gupta, S., and K. Jain, V.: Source apportionment of total
suspended particulate matter in coarse and fine size ranges over Delhi,
Aerosol Air Qual. Res., 8, 188–200,
https://doi.org/10.4209/aaqr.2007.09.0040, 2008.
Srivastava, D., Favez, O., Petit, J., Zhang, Y., Sofowotee, U., Hopke, P.,
Bonnaire, N., Perraudin, E., Gros, V., and Villenave, Albinet, A.:
Speciation of organic fractions does matter for aerosol source
apportionment. Part 3: Combining off-line and on-line measurements, Sci. Total Environ., 690, 944–955,
https://doi.org/10.1016/j.scitotenv.2019.06.378, 2019.
Sun, Y., Du, W., Fu, P., Wang, Q., Li, J., Ge, X., Zhang, Q., Zhu, C., Ren, L., Xu, W., Zhao, J., Han, T., Worsnop, D. R., and Wang, Z.: Primary and secondary aerosols in Beijing in winter: sources, variations and processes, Atmos. Chem. Phys., 16, 8309–8329, https://doi.org/10.5194/acp-16-8309-2016, 2016.
The Indian Express: Delhi: trucks can enter city after 11 pm,
https://indianexpress.com/article/cities/delhi/delhi-trucks-can-enter-city-after-11-pm-4559487/ (last access: 20 March 2022), 2017.
Tiwari, S., Srivastava, A. K., Bisht, D. S., Bano, T., Singh, S., Behura,
S., Srivastava, M. K., Chate, D. M., and Padmanabhamurty, B.: Black carbon
and chemical characteristics of PM10 and PM2.5 at an urban site of
North India, J. Atmos. Chem., 62, 193–209,
https://doi.org/10.1007/s10874-010-9148-z, 2009.
Tobler, A., Bhattu, D., Canonaco, F., Lalchandani, V., Shukla, A., Thamban,
N. M., Mishra, S., Srivastava, A. K., Bisht, D. S., Tiwari, S., Singh, S.,
Mocnik, G., Baltensperger, U., Tripathi, S. N., Slowik, J. G., and
Prévôt, A. S.: Chemical characterization of PM2.5 and source
apportionment of organic aerosol in New Delhi, India, Sci. Total
Environ., 745, 140924,
https://doi.org/10.1016/j.scitotenv.2020.140924, 2020.
Ulbrich, I. M., Canagaratna, M. R., Zhang, Q., Worsnop, D. R., and Jimenez, J. L.: Interpretation of organic components from Positive Matrix Factorization of aerosol mass spectrometric data, Atmos. Chem. Phys., 9, 2891–2918, https://doi.org/10.5194/acp-9-2891-2009, 2009.
United Nations: World urbanization prospects,
https://population.un.org/wup/ (last access: 20 March 2022), 2018.
Upadhyay, A., Dey, S., Chowdhury, S., Kumar, R., and Goyal, P.: Tradeoffs
between air pollution mitigation and meteorological response in India,
Sci. Rep., 10, 1–10,
https://doi.org/10.1038/s41598-020-71607-5, 2020.
Venkataraman, C., Bhushan, M., Dey, S., Ganguly, D., Gupta, T., Habib, G.,
Kesarkar, A., Phuleria, H., and Raman, R. S.: Indian network project on
carbonaceous aerosol emissions, source apportionment and climate impacts
(COALESCE), B. Am. Meteorol. Soc., 101,
1052–1068, https://doi.org/10.1175/BAMS-D-19-0030.1, 2020.
Venturini, E., Vassura, I., Raffo, S., Ferroni, L., Bernardi, E., and
Passarini, F.: Source apportionment and location by selective wind sampling
and Positive Matrix Factorization, Environ. Sci. Pollut. Res., 21, 11634–11648, 2014.
Wang, X., Cotter, E., Iyer, K. N., Fang, J., Williams, B. J., and Biswas,
P.: Relationship between pyrolysis products and organic aerosols formed
during coal combustion, P. Combust. Inst., 35,
2347–2354, https://doi.org/10.1016/j.proci.2014.07.073, 2015.
Weimer, S., Alfarra, M. R., Schreiber, D., Mohr, M., Prévôt, A. S.,
and Baltensperger, U.: Organic aerosol mass spectral signatures from
wood-burning emissions: Influence of burning conditions and type, J. Geophys. Res.-Atmos., 113, D10304,
https://doi.org/10.1029/2007JD009309, 2008.
Werden, B., Giordano, M., Mahata, K., Goetz, J. D., Katz, E., Bhave, P.,
Praveen, P. S., Yokelson, R. J., Stone, E. A., Panday, A. K., and DeCarlo,
P.: Source apportionment of regional aerosols and spatial variability from
the 2nd Nepal Ambient Measurement and Source Testing Experiment [NAMaSTE]-2
in the Kathmandu valley, Nepal, AGU Fall Meeting,
https://agu.confex.com/agu/fm20/meetingapp.cgi/Paper/747517, last access: 15 December 2020.
World Health Organization: AAP air quality database,
http://www.who.int/phe/health_topics/outdoorair/databases/cities/en/ (last access: 20 December 2020), 2018.
Xu, W., He, Y., Qiu, Y., Chen, C., Xie, C., Lei, L., Li, Z., Sun, J., Li, J., Fu, P., Wang, Z., Worsnop, D. R., and Sun, Y.: Mass spectral characterization of primary emissions and implications in source apportionment of organic aerosol, Atmos. Meas. Tech., 13, 3205–3219, https://doi.org/10.5194/amt-13-3205-2020, 2020.
Yadav, S., Tandon, A., and Attri, A. K.: Characterization of aerosol
associated non-polar organic compounds using TD-GC-MS: a four year study
from Delhi, India, J. Hazard. Mat., 252, 29–44,
https://doi.org/10.1016/j.jhazmat.2013.02.024, 2013.
Zhang, K. and Batterman, S.: Air pollution and health risks due to vehicle
traffic, Sci. Tot. Environ., 450, 307–316,
https://doi.org/10.1016/j.scitotenv.2013.01.074, 2013.
Zhang, Q., Alfarra, M. R., Worsnop, D. R., Allan, J. D., Coe, H.,
Canagaratna, M. R., and Jimenez, J. L.: Deconvolution and quantification of
hydrocarbon-like and oxygenated organic aerosols based on aerosol mass
spectrometry, Environ. Sci. Technol., 39, 4938–4952,
https://doi.org/10.1021/es048568l, 2005.
Zhang, Q., Jimenez, J. L., Canagaratna, M. R., Ulbrich, I. M., Ng, N. L.,
Worsnop, D. R., and Sun, Y.: Understanding atmospheric organic aerosols via
factor analysis of aerosol mass spectrometry: a review, Anal.
Bioanal. Chem., 401, 3045–3067, 2011.
Zhang, Y., Williams, B. J., Goldstein, A. H., Docherty, K. S., and Jimenez, J. L.: A technique for rapid source apportionment applied to ambient organic aerosol measurements from a thermal desorption aerosol gas chromatograph (TAG), Atmos. Meas. Tech., 9, 5637–5653, https://doi.org/10.5194/amt-9-5637-2016, 2016.
Zhang, Y., Peräkylä, O., Yan, C., Heikkinen, L., Äijälä, M., Daellenbach, K. R., Zha, Q., Riva, M., Garmash, O., Junninen, H., Paatero, P., Worsnop, D., and Ehn, M.: A novel approach for simple statistical analysis of high-resolution mass spectra, Atmos. Meas. Tech., 12, 3761–3776, https://doi.org/10.5194/amt-12-3761-2019, 2019.
Zhang, Z., Zhu, W., Hu, M., Wang, H., Chen, Z., Shen, R., Yu, Y., Tan, R.,
and Guo, S.: Secondary organic aerosol from typical Chinese domestic cooking
emissions, Environ. Sci. Technol. Lett., 8, 24–31, 2021.
Zheng, Y., Cheng, X., Liao, K., Li, Y., Li, Y. J., Huang, R.-J., Hu, W., Liu, Y., Zhu, T., Chen, S., Zeng, L., Worsnop, D. R., and Chen, Q.: Characterization of anthropogenic organic aerosols by TOF-ACSM with the new capture vaporizer, Atmos. Meas. Tech., 13, 2457–2472, https://doi.org/10.5194/amt-13-2457-2020, 2020.
Zhu, Q., Huang, X.-F., Cao, L.-M., Wei, L.-T., Zhang, B., He, L.-Y., Elser, M., Canonaco, F., Slowik, J. G., Bozzetti, C., El-Haddad, I., and Prévôt, A. S. H.: Improved source apportionment of organic aerosols in complex urban air pollution using the multilinear engine (ME-2), Atmos. Meas. Tech., 11, 1049–1060, https://doi.org/10.5194/amt-11-1049-2018, 2018.
Short summary
Here we determine the sources of primary organic aerosol in Delhi, India, in two different seasons. In winter, the main sources are traffic and biomass burning; in the summer, the main sources are traffic and cooking. We obtain this result by conducting source apportionment resolved by time of day, using data from an aerosol chemical speciation monitor. Results from this work can be used to better design policies that target sources of organic aerosol.
Here we determine the sources of primary organic aerosol in Delhi, India, in two different...
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