Articles | Volume 23, issue 5
https://doi.org/10.5194/acp-23-3383-2023
© Author(s) 2023. 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-23-3383-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Real-time measurements of non-methane volatile organic compounds in the central Indo-Gangetic basin, Lucknow, India: source characterisation and their role in O3 and secondary organic aerosol formation
Vaishali Jain
Department of Civil Engineering, Indian Institute of Technology
Kanpur, Kanpur, 208016, India
Nidhi Tripathi
Space and Atmospheric Sciences Division, Physical Research Laboratory,
Ahmedabad, 380009, India
Sachchida N. Tripathi
CORRESPONDING AUTHOR
Department of Civil Engineering, Indian Institute of Technology
Kanpur, Kanpur, 208016, India
Centre for Environmental Science and Engineering, Indian Institute of
Technology Kanpur, Kanpur, 208016, India
Mansi Gupta
Space and Atmospheric Sciences Division, Physical Research Laboratory,
Ahmedabad, 380009, India
Space and Atmospheric Sciences Division, Physical Research Laboratory,
Ahmedabad, 380009, India
Vishnu Murari
Department of Civil Engineering, Indian Institute of Technology
Kanpur, Kanpur, 208016, India
Sreenivas Gaddamidi
Department of Civil Engineering, Indian Institute of Technology
Kanpur, Kanpur, 208016, India
Ashutosh K. Shukla
Department of Civil Engineering, Indian Institute of Technology
Kanpur, Kanpur, 208016, India
Andre S. H. Prevot
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232,
Switzerland
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Manousos I. Manousakas, Olga Zografou, Francesco Canonaco, Evangelia Diapouli, Stefanos Papagiannis, Maria Gini, Vasiliki Vasilatou, Anna Tobler, Stergios Vratolis, Jay G. Slowik, Kaspar R. Daellenbach, André S. H. Prevot, and Konstantinos Eleftheriadis
Atmos. Meas. Tech., 18, 3983–4002, https://doi.org/10.5194/amt-18-3983-2025, https://doi.org/10.5194/amt-18-3983-2025, 2025
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Air pollution from airborne particles is a major health and environmental concern, especially in cities. Understanding the particles' sources is key to addressing this issue, but traditional methods require time-consuming sampling, delaying action. Our study introduces a real-time monitoring system that uses advanced instruments and software to track pollution instantly. This technology allows faster, more precise pollution analysis, helping cities create targeted strategies to improve air quality.
Junke Zhang, Xinyi Fu, Chunying Chen, Yunfei Su, Siyu Liu, Luyao Chen, Yubao Chen, Gehui Wang, and Andre S. H. Prevot
Atmos. Chem. Phys., 25, 8983–9004, https://doi.org/10.5194/acp-25-8983-2025, https://doi.org/10.5194/acp-25-8983-2025, 2025
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We measured (at the molecular level) the 125 organic aerosol (OA) compounds present in Chengdu in winter. OA was dominated by fatty acids, phthalate esters, and anhydrosugars, and it was deeply influenced by anthropogenic sources. As pollution worsened, 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 contributions of secondary formation and biomass burning to OC increased markedly.
Jiamao Zhou, Jiarui Wu, Xiaoli Su, Ruonan Wang, Imad EI Haddad, Xia Li, Qian Jiang, Ting Zhang, Wenting Dai, Junji Cao, Andre S. H. Prevot, Xuexi Tie, and Guohui Li
Atmos. Chem. Phys., 25, 7563–7580, https://doi.org/10.5194/acp-25-7563-2025, https://doi.org/10.5194/acp-25-7563-2025, 2025
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Brown carbon (BrC) is a type of airborne particle produced from various combustion sources which is light absorption. Historically, climate models have categorizing organic particles as either non-absorbing or purely reflective. Our study shows that BrC can reduce the usual cooling effect of organic particles. While BrC is often linked to biomass burning, however, BrC from fossil fuels contributes significantly to atmospheric heating.
Laurence C. Windell, Saliou Mbengue, Petra Pokorna, Jaroslav Schwarz, André S. H. Prévôt, Manousos I. Manousakas, Stefanos Papagiannis, Jakub Ondráček, Roman Prokeš, and Vladimir Ždímal
EGUsphere, https://doi.org/10.5194/egusphere-2025-2350, https://doi.org/10.5194/egusphere-2025-2350, 2025
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In this work, we compare the two most widely used online XRF monitors for ambient elemental analysis, the Xact625i and PX-375. We found strong correlations between the online instruments and the reference method (better so for the Xact625i), while in terms of absolute concentrations, some elements were over- and underestimated. Overall, we determined both instruments can be used as powerful tools to produce high-time resolution elemental data for use in air quality monitoring.
Zhenyu Zhang, Jing Li, Huizheng Che, Yueming Dong, Oleg Dubovik, Thomas Eck, Pawan Gupta, Brent Holben, Jhoon Kim, Elena Lind, Trailokya Saud, Sachchida Nand Tripathi, and Tong Ying
Atmos. Chem. Phys., 25, 4617–4637, https://doi.org/10.5194/acp-25-4617-2025, https://doi.org/10.5194/acp-25-4617-2025, 2025
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We used ground-based remote sensing data from the Aerosol Robotic Network to examine long-term trends in aerosol characteristics. We found aerosol loadings generally decreased globally, and aerosols became more scattering. These changes are closely related to variations in aerosol compositions, such as decreased anthropogenic emissions over East Asia, Europe, and North America; increased anthropogenic sources over northern India; and increased dust activity over the Arabian Peninsula.
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.
Laura Cadeo, Beatrice Biffi, Benjamin Chazeau, Cristina Colombi, Rosario Cosenza, Eleonora Cuccia, Manousos-Ioannis Manousakas, Kaspar R. Daellenbach, André S. H. Prévôt, and Roberta Vecchi
EGUsphere, https://doi.org/10.5194/egusphere-2025-110, https://doi.org/10.5194/egusphere-2025-110, 2025
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This study presents the deployment of the Xact® 625i Ambient Metals Monitor in Milan (Po Valley, Italy) and its performance in measuring PM10 elemental composition at a high temporal resolution. Our findings demonstrate strong agreement between online and offline XRF analyses, underscoring the potential of advanced monitoring technologies for air quality research.
Tiantian Wang, Jun Zhang, Houssni Lamkaddam, Kun Li, Ka Yuen Cheung, Lisa Kattner, Erlend Gammelsæter, Michael Bauer, Zachary C. J. Decker, Deepika Bhattu, Rujin Huang, Rob L. Modini, Jay G. Slowik, Imad El Haddad, Andre S. H. Prevot, and David M. Bell
Atmos. Chem. Phys., 25, 2707–2724, https://doi.org/10.5194/acp-25-2707-2025, https://doi.org/10.5194/acp-25-2707-2025, 2025
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Our study analyzes real-time emissions of organic vapors from solid fuel combustion. Using the mass spectrometer, we tested various fuels, finding higher emission factors for organic vapors from wood burning. Intermediate-volatility organic compounds constituted a significant fraction of emissions in solid fuel combustion. Statistical tests identified unique potential markers. Our insights benefit air quality, climate, and health, aiding accurate emission assessments.
Hector Navarro-Barboza, Jordi Rovira, Vincenzo Obiso, Andrea Pozzer, Marta Via, Andres Alastuey, Xavier Querol, Noemi Perez, Marjan Savadkoohi, Gang Chen, Jesus Yus-Díez, Matic Ivancic, Martin Rigler, Konstantinos Eleftheriadis, Stergios Vratolis, Olga Zografou, Maria Gini, Benjamin Chazeau, Nicolas Marchand, Andre S. H. Prevot, Kaspar Dallenbach, Mikael Ehn, Krista Luoma, Tuukka Petäjä, Anna Tobler, Jaroslaw Necki, Minna Aurela, Hilkka Timonen, Jarkko Niemi, Olivier Favez, Jean-Eudes Petit, Jean-Philippe Putaud, Christoph Hueglin, Nicolas Pascal, Aurélien Chauvigné, Sébastien Conil, Marco Pandolfi, and Oriol Jorba
Atmos. Chem. Phys., 25, 2667–2694, https://doi.org/10.5194/acp-25-2667-2025, https://doi.org/10.5194/acp-25-2667-2025, 2025
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Brown carbon (BrC) absorbs ultraviolet (UV) and visible light, influencing climate. This study explores BrC's imaginary refractive index (k) using data from 12 European sites. Residential emissions are a major organic aerosol (OA) source in winter, while secondary organic aerosol (SOA) dominates in summer. Source-specific k values were derived, improving model accuracy. The findings highlight BrC's climate impact and emphasize source-specific constraints in atmospheric models.
Sophie Bogler, Jun Zhang, Rico K. Y. Cheung, Kun Li, Andre S. H. Prevot, Imad El Haddad, and David M. Bell
EGUsphere, https://doi.org/10.5194/egusphere-2025-385, https://doi.org/10.5194/egusphere-2025-385, 2025
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Authentic aerosols emitted from residential wood stoves and open burning processes are only slightly oxidized by ozone in the atmosphere. Under dry conditions the reaction does not proceed to completion, while under high humidity conditions the reactivity proceeds further. These results indicate the reactivity with ozone is likely impacted by aerosol phase state (e.g. aerosol viscosity).
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.
Nishant Ajnoti, Hemant Gehlot, and Sachchida Nand Tripathi
Atmos. Meas. Tech., 17, 1651–1664, https://doi.org/10.5194/amt-17-1651-2024, https://doi.org/10.5194/amt-17-1651-2024, 2024
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This research focuses on the optimal placement of hybrid instruments (sensors and monitors) to maximize satisfaction function considering population, PM2.5 concentration, budget, and other factors. Two algorithms are developed in this study: a genetic algorithm and a greedy algorithm. We tested these algorithms on various regions. The insights of this work aid in quantitative placement of air quality monitoring instruments in large cities, moving away from ad hoc approaches.
Wei Huang, Cheng Wu, Linyu Gao, Yvette Gramlich, Sophie L. Haslett, Joel Thornton, Felipe D. Lopez-Hilfiker, Ben H. Lee, Junwei Song, Harald Saathoff, Xiaoli Shen, Ramakrishna Ramisetty, Sachchida N. Tripathi, Dilip Ganguly, Feng Jiang, Magdalena Vallon, Siegfried Schobesberger, Taina Yli-Juuti, and Claudia Mohr
Atmos. Chem. Phys., 24, 2607–2624, https://doi.org/10.5194/acp-24-2607-2024, https://doi.org/10.5194/acp-24-2607-2024, 2024
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We present distinct molecular composition and volatility of oxygenated organic aerosol particles in different rural, urban, and mountain environments. We do a comprehensive investigation of the relationship between the chemical composition and volatility of oxygenated organic aerosol particles across different systems and environments. This study provides implications for volatility descriptions of oxygenated organic aerosol particles in different model frameworks.
Meghna Soni, Rolf Sander, Lokesh K. Sahu, Domenico Taraborrelli, Pengfei Liu, Ankit Patel, Imran A. Girach, Andrea Pozzer, Sachin S. Gunthe, and Narendra Ojha
Atmos. Chem. Phys., 23, 15165–15180, https://doi.org/10.5194/acp-23-15165-2023, https://doi.org/10.5194/acp-23-15165-2023, 2023
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The study presents the implementation of comprehensive multiphase chlorine chemistry in the box model CAABA/MECCA. Simulations for contrasting urban environments of Asia and Europe highlight the significant impacts of chlorine on atmospheric oxidation capacity and composition. Chemical processes governing the production and loss of chlorine-containing species has been discussed. The updated chemical mechanism will be useful to interpret field measurements and for future air quality studies.
Jun Zhang, Kun Li, Tiantian Wang, Erlend Gammelsæter, Rico K. Y. Cheung, Mihnea Surdu, Sophie Bogler, Deepika Bhattu, Dongyu S. Wang, Tianqu Cui, Lu Qi, Houssni Lamkaddam, Imad El Haddad, Jay G. Slowik, Andre S. H. Prevot, and David M. Bell
Atmos. Chem. Phys., 23, 14561–14576, https://doi.org/10.5194/acp-23-14561-2023, https://doi.org/10.5194/acp-23-14561-2023, 2023
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We conducted burning experiments to simulate various types of solid fuel combustion, including residential burning, wildfires, agricultural burning, cow dung, and plastic bag burning. The chemical composition of the particles was characterized using mass spectrometers, and new potential markers for different fuels were identified using statistical analysis. This work improves our understanding of emissions from solid fuel burning and offers support for refined source apportionment.
Matthias Kohl, Jos Lelieveld, Sourangsu Chowdhury, Sebastian Ehrhart, Disha Sharma, Yafang Cheng, Sachchida Nand Tripathi, Mathew Sebastian, Govindan Pandithurai, Hongli Wang, and Andrea Pozzer
Atmos. Chem. Phys., 23, 13191–13215, https://doi.org/10.5194/acp-23-13191-2023, https://doi.org/10.5194/acp-23-13191-2023, 2023
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Knowledge on atmospheric ultrafine particles (UFPs) with a diameter smaller than 100 nm is crucial for public health and the hydrological cycle. We present a new global dataset of UFP concentrations at the Earth's surface derived with a comprehensive chemistry–climate model and evaluated with ground-based observations. The evaluation results are combined with high-resolution primary emissions to downscale UFP concentrations to an unprecedented horizontal resolution of 0.1° × 0.1°.
Yong Zhang, Jie Tian, Qiyuan Wang, Lu Qi, Manousos Ioannis Manousakas, Yuemei Han, Weikang Ran, Yele Sun, Huikun Liu, Renjian Zhang, Yunfei Wu, Tianqu Cui, Kaspar Rudolf Daellenbach, Jay Gates Slowik, André S. H. Prévôt, and Junji Cao
Atmos. Chem. Phys., 23, 9455–9471, https://doi.org/10.5194/acp-23-9455-2023, https://doi.org/10.5194/acp-23-9455-2023, 2023
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PM2.5 pollution still frequently occurs in northern China during winter, and it is necessary to figure out the causes of air pollution based on intensive real-time measurement. The findings elaborate the chemical characteristics and source contributions of PM2.5 in three pilot cities, reveal potential formation mechanisms of secondary aerosols, and highlight the importance of controlling biomass burning and inhibiting generation of secondary aerosol for air quality improvement.
Sophie L. Haslett, David M. Bell, Varun Kumar, Jay G. Slowik, Dongyu S. Wang, Suneeti Mishra, Neeraj Rastogi, Atinderpal Singh, Dilip Ganguly, Joel Thornton, Feixue Zheng, Yuanyuan Li, Wei Nie, Yongchun Liu, Wei Ma, Chao Yan, Markku Kulmala, Kaspar R. Daellenbach, David Hadden, Urs Baltensperger, Andre S. H. Prevot, Sachchida N. Tripathi, and Claudia Mohr
Atmos. Chem. Phys., 23, 9023–9036, https://doi.org/10.5194/acp-23-9023-2023, https://doi.org/10.5194/acp-23-9023-2023, 2023
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In Delhi, some aspects of daytime and nighttime atmospheric chemistry are inverted, and parodoxically, vehicle emissions may be limiting other forms of particle production. This is because the nighttime emissions of nitrogen oxide (NO) by traffic and biomass burning prevent some chemical processes that would otherwise create even more particles and worsen the urban haze.
Samira Atabakhsh, Laurent Poulain, Gang Chen, Francesco Canonaco, André S. H. Prévôt, Mira Pöhlker, Alfred Wiedensohler, and Hartmut Herrmann
Atmos. Chem. Phys., 23, 6963–6988, https://doi.org/10.5194/acp-23-6963-2023, https://doi.org/10.5194/acp-23-6963-2023, 2023
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The study focuses on the aerosol chemical variations found in the rural-background station of Melpitz based on ACSM and MAAP measurements. Source apportionment on both organic aerosol (OA) and black carbon (eBC) was performed, and source seasonality was also linked to air mass trajectories. Overall, three anthropogenic sources were identified in OA and eBC plus two additional aged OA. Our results demonstrate the influence of transported coal-combustion-related OA even during summer time.
Tingting Feng, Yingkun Wang, Weiwei Hu, Ming Zhu, Wei Song, Wei Chen, Yanyan Sang, Zheng Fang, Wei Deng, Hua Fang, Xu Yu, Cheng Wu, Bin Yuan, Shan Huang, Min Shao, Xiaofeng Huang, Lingyan He, Young Ro Lee, Lewis Gregory Huey, Francesco Canonaco, Andre S. H. Prevot, and Xinming Wang
Atmos. Chem. Phys., 23, 611–636, https://doi.org/10.5194/acp-23-611-2023, https://doi.org/10.5194/acp-23-611-2023, 2023
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To investigate the impact of aging processes on organic aerosols (OA), we conducted a comprehensive field study at a continental remote site using an on-line mass spectrometer. The results show that OA in the Chinese outflows were strongly influenced by upwind anthropogenic emissions. The aging processes can significantly decrease the OA volatility and result in a varied viscosity of OA under different circumstances, signifying the complex physiochemical properties of OA in aged plumes.
Sudipta Ghosh, Sagnik Dey, Sushant Das, Nicole Riemer, Graziano Giuliani, Dilip Ganguly, Chandra Venkataraman, Filippo Giorgi, Sachchida Nand Tripathi, Srikanthan Ramachandran, Thazhathakal Ayyappen Rajesh, Harish Gadhavi, and Atul Kumar Srivastava
Geosci. Model Dev., 16, 1–15, https://doi.org/10.5194/gmd-16-1-2023, https://doi.org/10.5194/gmd-16-1-2023, 2023
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Accurate representation of aerosols in climate models is critical for minimizing the uncertainty in climate projections. Here, we implement region-specific emission fluxes and a more accurate scheme for carbonaceous aerosol ageing processes in a regional climate model (RegCM4) and show that it improves model performance significantly against in situ, reanalysis, and satellite data over the Indian subcontinent. We recommend improving the model performance before using them for climate studies.
Yandong Tong, Lu Qi, Giulia Stefenelli, Dongyu Simon Wang, Francesco Canonaco, Urs Baltensperger, André Stephan Henry Prévôt, and Jay Gates Slowik
Atmos. Meas. Tech., 15, 7265–7291, https://doi.org/10.5194/amt-15-7265-2022, https://doi.org/10.5194/amt-15-7265-2022, 2022
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We present a method for positive matrix factorisation (PMF) analysis on a single dataset that includes measurements from both EESI-TOF and AMS in Zurich, Switzerland. For the first time, we resolved and quantified secondary organic aerosol (SOA) sources. Meanwhile, we also determined the retrieved EESI-TOF factor-dependent sensitivities. This method provides a framework for exploiting semi-quantitative, high-resolution instrumentation for quantitative source apportionment.
David M. Bell, Cheng Wu, Amelie Bertrand, Emelie Graham, Janne Schoonbaert, Stamatios Giannoukos, Urs Baltensperger, Andre S. H. Prevot, Ilona Riipinen, Imad El Haddad, and Claudia Mohr
Atmos. Chem. Phys., 22, 13167–13182, https://doi.org/10.5194/acp-22-13167-2022, https://doi.org/10.5194/acp-22-13167-2022, 2022
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A series of studies designed to investigate the evolution of organic aerosol were performed in an atmospheric simulation chamber, using a common oxidant found at night (NO3). The chemical composition steadily changed from its initial composition via different chemical reactions that were taking place inside of the aerosol particle. These results show that the composition of organic aerosol steadily changes during its lifetime in the atmosphere.
Marta Via, Gang Chen, Francesco Canonaco, Kaspar R. Daellenbach, Benjamin Chazeau, Hasna Chebaicheb, Jianhui Jiang, Hannes Keernik, Chunshui Lin, Nicolas Marchand, Cristina Marin, Colin O'Dowd, Jurgita Ovadnevaite, Jean-Eudes Petit, Michael Pikridas, Véronique Riffault, Jean Sciare, Jay G. Slowik, Leïla Simon, Jeni Vasilescu, Yunjiang Zhang, Olivier Favez, André S. H. Prévôt, Andrés Alastuey, and María Cruz Minguillón
Atmos. Meas. Tech., 15, 5479–5495, https://doi.org/10.5194/amt-15-5479-2022, https://doi.org/10.5194/amt-15-5479-2022, 2022
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This work presents the differences resulting from two techniques (rolling and seasonal) of the positive matrix factorisation model that can be run for organic aerosol source apportionment. The current state of the art suggests that the rolling technique is more accurate, but no proof of its effectiveness has been provided yet. This paper tackles this issue in the context of a synthetic dataset and a multi-site real-world comparison.
Chuan Ping Lee, Mihnea Surdu, David M. Bell, Josef Dommen, Mao Xiao, Xueqin Zhou, Andrea Baccarini, Stamatios Giannoukos, Günther Wehrle, Pascal André Schneider, Andre S. H. Prevot, Jay G. Slowik, Houssni Lamkaddam, Dongyu Wang, Urs Baltensperger, and Imad El Haddad
Atmos. Meas. Tech., 15, 3747–3760, https://doi.org/10.5194/amt-15-3747-2022, https://doi.org/10.5194/amt-15-3747-2022, 2022
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Real-time detection of both the gas and particle phase is needed to elucidate the sources and chemical reaction pathways of organic vapors and particulate matter. The Dual-EESI was developed to measure gas- and particle-phase species to provide new insights into aerosol sources or formation mechanisms. After characterizing the relative gas and particle response factors of EESI via organic aerosol uptake experiments, the Dual-EESI is more sensitive toward gas-phase analyes.
Varun Kumar, Stamatios Giannoukos, Sophie L. Haslett, Yandong Tong, Atinderpal Singh, Amelie Bertrand, Chuan Ping Lee, Dongyu S. Wang, Deepika Bhattu, Giulia Stefenelli, Jay S. Dave, Joseph V. Puthussery, Lu Qi, Pawan Vats, Pragati Rai, Roberto Casotto, Rangu Satish, Suneeti Mishra, Veronika Pospisilova, Claudia Mohr, David M. Bell, Dilip Ganguly, Vishal Verma, Neeraj Rastogi, Urs Baltensperger, Sachchida N. Tripathi, André S. H. Prévôt, and Jay G. Slowik
Atmos. Chem. Phys., 22, 7739–7761, https://doi.org/10.5194/acp-22-7739-2022, https://doi.org/10.5194/acp-22-7739-2022, 2022
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Here we present source apportionment results from the first field deployment in Delhi of an extractive electrospray ionization time-of-flight mass spectrometer (EESI-TOF). The EESI-TOF is a recently developed instrument capable of providing uniquely detailed online chemical characterization of organic aerosol (OA), in particular the secondary OA (SOA) fraction. Here, we are able to apportion not only primary OA but also SOA to specific sources, which is performed for the first time in Delhi.
Amir Yazdani, Nikunj Dudani, Satoshi Takahama, Amelie Bertrand, André S. H. Prévôt, Imad El Haddad, and Ann M. Dillner
Atmos. Meas. Tech., 15, 2857–2874, https://doi.org/10.5194/amt-15-2857-2022, https://doi.org/10.5194/amt-15-2857-2022, 2022
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While the aerosol mass spectrometer provides high-time-resolution characterization of the overall extent of oxidation, the extensive fragmentation of molecules and specificity of the technique have posed challenges toward deeper understanding of molecular structures in aerosols. This work demonstrates how functional group information can be extracted from a suite of commonly measured mass fragments using collocated infrared spectroscopy measurements.
Himadri Sekhar Bhowmik, Ashutosh Shukla, Vipul Lalchandani, Jay Dave, Neeraj Rastogi, Mayank Kumar, Vikram Singh, and Sachchida Nand Tripathi
Atmos. Meas. Tech., 15, 2667–2684, https://doi.org/10.5194/amt-15-2667-2022, https://doi.org/10.5194/amt-15-2667-2022, 2022
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This study presents comparisons between online and offline measurements of both refractory and non-refractory aerosol. This study shows differences between the measurements, related to either the limitations of the instrument (e.g., aerosol mass spectrometer only observing non-refractory aerosol) or known interferences with the technique (e.g., volatilization or reactions). The findings highlight the measurement methods' accuracy and imply the particular type of measurements needed.
Chandan Sarangi, TC Chakraborty, Sachchidanand Tripathi, Mithun Krishnan, Ross Morrison, Jonathan Evans, and Lina M. Mercado
Atmos. Chem. Phys., 22, 3615–3629, https://doi.org/10.5194/acp-22-3615-2022, https://doi.org/10.5194/acp-22-3615-2022, 2022
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Transpiration fluxes by vegetation are reduced under heat stress to conserve water. However, in situ observations over northern India show that the strength of the inverse association between transpiration and atmospheric vapor pressure deficit is weakening in the presence of heavy aerosol loading. This finding not only implicates the significant role of aerosols in modifying the evaporative fraction (EF) but also warrants an in-depth analysis of the aerosol–plant–temperature–EF continuum.
Dongyu S. Wang, Chuan Ping Lee, Jordan E. Krechmer, Francesca Majluf, Yandong Tong, Manjula R. Canagaratna, Julia Schmale, André S. H. Prévôt, Urs Baltensperger, Josef Dommen, Imad El Haddad, Jay G. Slowik, and David M. Bell
Atmos. Meas. Tech., 14, 6955–6972, https://doi.org/10.5194/amt-14-6955-2021, https://doi.org/10.5194/amt-14-6955-2021, 2021
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To understand the sources and fate of particulate matter in the atmosphere, the ability to quantitatively describe its chemical composition is essential. In this work, we developed a calibration method for a state-of-the-art measurement technique without the need for chemical standards. Statistical analyses identified the driving factors behind instrument sensitivity variability towards individual components of particulate matter.
Gang Chen, Yulia Sosedova, Francesco Canonaco, Roman Fröhlich, Anna Tobler, Athanasia Vlachou, Kaspar R. Daellenbach, Carlo Bozzetti, Christoph Hueglin, Peter Graf, Urs Baltensperger, Jay G. Slowik, Imad El Haddad, and André S. H. Prévôt
Atmos. Chem. Phys., 21, 15081–15101, https://doi.org/10.5194/acp-21-15081-2021, https://doi.org/10.5194/acp-21-15081-2021, 2021
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A novel, advanced source apportionment technique was applied to a dataset measured in Magadino. Rolling positive matrix factorisation (PMF) allows for retrieving more realistic, time-dependent, and detailed information on organic aerosol sources. The strength of the rolling PMF mechanism is highlighted by comparing it with results derived from conventional seasonal PMF. Overall, this comprehensive interpretation of aerosol chemical speciation monitor data could be a role model for similar work.
Wenfei Zhu, Song Guo, Zirui Zhang, Hui Wang, Ying Yu, Zheng Chen, Ruizhe Shen, Rui Tan, Kai Song, Kefan Liu, Rongzhi Tang, Yi Liu, Shengrong Lou, Yuanju Li, Wenbin Zhang, Zhou Zhang, Shijin Shuai, Hongming Xu, Shuangde Li, Yunfa Chen, Min Hu, Francesco Canonaco, and Andre S. H. Prévôt
Atmos. Chem. Phys., 21, 15065–15079, https://doi.org/10.5194/acp-21-15065-2021, https://doi.org/10.5194/acp-21-15065-2021, 2021
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The experiments of primary emissions and secondary organic aerosol (SOA) formation from urban lifestyle sources (cooking and vehicles) were conducted. The mass spectral features of primary organic aerosol (POA) and SOA were characterized by using a high-resolution time-of-flight aerosol mass spectrometer. This work, for the first time, establishes the vehicle and cooking SOA source profiles and can be further used as source constraints in the OA source apportionment in the ambient atmosphere.
Anna K. Tobler, Alicja Skiba, Francesco Canonaco, Griša Močnik, Pragati Rai, Gang Chen, Jakub Bartyzel, Miroslaw Zimnoch, Katarzyna Styszko, Jaroslaw Nęcki, Markus Furger, Kazimierz Różański, Urs Baltensperger, Jay G. Slowik, and Andre S. H. Prevot
Atmos. Chem. Phys., 21, 14893–14906, https://doi.org/10.5194/acp-21-14893-2021, https://doi.org/10.5194/acp-21-14893-2021, 2021
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Kraków is among the cities with the highest particulate matter levels within Europe. We conducted long-term and highly time-resolved measurements of the chemical composition of submicron particlulate matter (PM1). Combined with advanced source apportionment techniques, which allow for time-dependent factor profiles, our results elucidate that traffic and residential heating (biomass burning and coal combustion) as well as oxygenated organic aerosol are the key PM sources in Kraków.
Cheng Wu, David M. Bell, Emelie L. Graham, Sophie Haslett, Ilona Riipinen, Urs Baltensperger, Amelie Bertrand, Stamatios Giannoukos, Janne Schoonbaert, Imad El Haddad, Andre S. H. Prevot, Wei Huang, and Claudia Mohr
Atmos. Chem. Phys., 21, 14907–14925, https://doi.org/10.5194/acp-21-14907-2021, https://doi.org/10.5194/acp-21-14907-2021, 2021
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Night-time reactions of biogenic volatile organic compounds and nitrate radicals can lead to the formation of secondary organic aerosol (BSOANO3). Here, we study the impacts of light exposure on the BSOANO3 from three biogenic precursors. Our results suggest that photolysis causes photodegradation of a substantial fraction of BSOANO3, changes the chemical composition and bulk volatility, and might be a potentially important loss pathway of BSOANO3 during the night-to-day transition.
Chuan Ping Lee, Mihnea Surdu, David M. Bell, Houssni Lamkaddam, Mingyi Wang, Farnoush Ataei, Victoria Hofbauer, Brandon Lopez, Neil M. Donahue, Josef Dommen, Andre S. H. Prevot, Jay G. Slowik, Dongyu Wang, Urs Baltensperger, and Imad El Haddad
Atmos. Meas. Tech., 14, 5913–5923, https://doi.org/10.5194/amt-14-5913-2021, https://doi.org/10.5194/amt-14-5913-2021, 2021
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Extractive electrospray ionization mass spectrometry (EESI-MS) has been deployed for high throughput online detection of particles with minimal fragmentation. Our study elucidates the extraction mechanism between the particles and electrospray (ES) droplets of different properties. The results show that the extraction rate is likely affected by the coagulation rate between the particles and ES droplets. Once coagulated, the particles undergo complete extraction within the ES droplet.
Vaios Moschos, Martin Gysel-Beer, Robin L. Modini, Joel C. Corbin, Dario Massabò, Camilla Costa, Silvia G. Danelli, Athanasia Vlachou, Kaspar R. Daellenbach, Sönke Szidat, Paolo Prati, André S. H. Prévôt, Urs Baltensperger, and Imad El Haddad
Atmos. Chem. Phys., 21, 12809–12833, https://doi.org/10.5194/acp-21-12809-2021, https://doi.org/10.5194/acp-21-12809-2021, 2021
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This study provides a holistic approach to studying the spectrally resolved light absorption by atmospheric brown carbon (BrC) and black carbon using long time series of daily samples from filter-based measurements. The obtained results provide (1) a better understanding of the aerosol absorption profile and its dependence on BrC and on lensing from less absorbing coatings and (2) an estimation of the most important absorbers at typical European locations.
Evelyn Freney, Karine Sellegri, Alessia Nicosia, Leah R. Williams, Matteo Rinaldi, Jonathan T. Trueblood, André S. H. Prévôt, Melilotus Thyssen, Gérald Grégori, Nils Haëntjens, Julie Dinasquet, Ingrid Obernosterer, France Van Wambeke, Anja Engel, Birthe Zäncker, Karine Desboeufs, Eija Asmi, Hilkka Timonen, and Cécile Guieu
Atmos. Chem. Phys., 21, 10625–10641, https://doi.org/10.5194/acp-21-10625-2021, https://doi.org/10.5194/acp-21-10625-2021, 2021
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In this work, we present observations of the organic aerosol content in primary sea spray aerosols (SSAs) continuously generated along a 5-week cruise in the Mediterranean. This information is combined with seawater biogeochemical properties also measured continuously along the ship track to develop a number of parametrizations that can be used in models to determine SSA organic content in oligotrophic waters that represent 60 % of the oceans from commonly measured seawater variables.
Amir Yazdani, Nikunj Dudani, Satoshi Takahama, Amelie Bertrand, André S. H. Prévôt, Imad El Haddad, and Ann M. Dillner
Atmos. Chem. Phys., 21, 10273–10293, https://doi.org/10.5194/acp-21-10273-2021, https://doi.org/10.5194/acp-21-10273-2021, 2021
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Functional group compositions of primary and aged aerosols from wood burning and coal combustion sources from chamber experiments are interpreted through compounds present in the fuels and known gas-phase oxidation products. Infrared spectra of aged wood burning in the chamber and ambient biomass burning samples reveal striking similarities, and a new method for identifying burning-impacted samples in monitoring network measurements is presented.
Yandong Tong, Veronika Pospisilova, Lu Qi, Jing Duan, Yifang Gu, Varun Kumar, Pragati Rai, Giulia Stefenelli, Liwei Wang, Ying Wang, Haobin Zhong, Urs Baltensperger, Junji Cao, Ru-Jin Huang, André S. H. Prévôt, and Jay G. Slowik
Atmos. Chem. Phys., 21, 9859–9886, https://doi.org/10.5194/acp-21-9859-2021, https://doi.org/10.5194/acp-21-9859-2021, 2021
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We investigate SOA sources and formation processes by a field deployment of the EESI-TOF-MS and L-TOF AMS in Beijing in late autumn and early winter. Our study shows that the sources and processes giving rise to haze events in Beijing are variable and seasonally dependent: (1) in the heating season, SOA formation is driven by oxidation of aromatics from solid fuel combustion; and (2) under high-NOx and RH conditions, aqueous-phase chemistry can be a major contributor to SOA formation.
Siqi Hou, Di Liu, Jingsha Xu, Tuan V. Vu, Xuefang Wu, Deepchandra Srivastava, Pingqing Fu, Linjie Li, Yele Sun, Athanasia Vlachou, Vaios Moschos, Gary Salazar, Sönke Szidat, André S. H. Prévôt, Roy M. Harrison, and Zongbo Shi
Atmos. Chem. Phys., 21, 8273–8292, https://doi.org/10.5194/acp-21-8273-2021, https://doi.org/10.5194/acp-21-8273-2021, 2021
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This study provides a newly developed method which combines radiocarbon (14C) with organic tracers to enable source apportionment of primary and secondary fossil vs. non-fossil sources of carbonaceous aerosols at an urban and a rural site of Beijing. The source apportionment results were compared with those by chemical mass balance and AMS/ACSM-PMF methods. Correlations of WINSOC and WSOC with different sources of OC were also performed to elucidate the formation mechanisms of SOC.
Karl Espen Yttri, Francesco Canonaco, Sabine Eckhardt, Nikolaos Evangeliou, Markus Fiebig, Hans Gundersen, Anne-Gunn Hjellbrekke, Cathrine Lund Myhre, Stephen Matthew Platt, André S. H. Prévôt, David Simpson, Sverre Solberg, Jason Surratt, Kjetil Tørseth, Hilde Uggerud, Marit Vadset, Xin Wan, and Wenche Aas
Atmos. Chem. Phys., 21, 7149–7170, https://doi.org/10.5194/acp-21-7149-2021, https://doi.org/10.5194/acp-21-7149-2021, 2021
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Carbonaceous aerosol sources and trends were studied at the Birkenes Observatory. A large decrease in elemental carbon (EC; 2001–2018) and a smaller decline in levoglucosan (2008–2018) suggest that organic carbon (OC)/EC from traffic/industry is decreasing, whereas the abatement of OC/EC from biomass burning has been less successful. Positive matrix factorization apportioned 72 % of EC to fossil fuel sources and 53 % (PM2.5) and 78 % (PM10–2.5) of OC to biogenic sources.
Karn Vohra, Eloise A. Marais, Shannen Suckra, Louisa Kramer, William J. Bloss, Ravi Sahu, Abhishek Gaur, Sachchida N. Tripathi, Martin Van Damme, Lieven Clarisse, and Pierre-F. Coheur
Atmos. Chem. Phys., 21, 6275–6296, https://doi.org/10.5194/acp-21-6275-2021, https://doi.org/10.5194/acp-21-6275-2021, 2021
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We find satellite observations of atmospheric composition generally reproduce variability in surface air pollution, so we use their long record to estimate air quality trends in major UK and Indian cities. Our trend analysis shows that pollutants targeted with air quality policies have not declined in Delhi and Kanpur but have in London and Birmingham, with the exception of a recent and dramatic increase in reactive volatile organics in London. Unregulated ammonia has increased only in Delhi.
Jianhui Jiang, Imad El Haddad, Sebnem Aksoyoglu, Giulia Stefenelli, Amelie Bertrand, Nicolas Marchand, Francesco Canonaco, Jean-Eudes Petit, Olivier Favez, Stefania Gilardoni, Urs Baltensperger, and André S. H. Prévôt
Geosci. Model Dev., 14, 1681–1697, https://doi.org/10.5194/gmd-14-1681-2021, https://doi.org/10.5194/gmd-14-1681-2021, 2021
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We developed a box model with a volatility basis set to simulate organic aerosol (OA) from biomass burning and optimized the vapor-wall-loss-corrected OA yields with a genetic algorithm. The optimized parameterizations were then implemented in the air quality model CAMx v6.5. Comparisons with ambient measurements indicate that the vapor-wall-loss-corrected parameterization effectively improves the model performance in predicting OA, which reduced the mean fractional bias from −72.9 % to −1.6 %.
Gareth J. Stewart, Beth S. Nelson, W. Joe F. Acton, Adam R. Vaughan, Naomi J. Farren, James R. Hopkins, Martyn W. Ward, Stefan J. Swift, Rahul Arya, Arnab Mondal, Ritu Jangirh, Sakshi Ahlawat, Lokesh Yadav, Sudhir K. Sharma, Siti S. M. Yunus, C. Nicholas Hewitt, Eiko Nemitz, Neil Mullinger, Ranu Gadi, Lokesh K. Sahu, Nidhi Tripathi, Andrew R. Rickard, James D. Lee, Tuhin K. Mandal, and Jacqueline F. Hamilton
Atmos. Chem. Phys., 21, 2407–2426, https://doi.org/10.5194/acp-21-2407-2021, https://doi.org/10.5194/acp-21-2407-2021, 2021
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Biomass burning releases many lower-molecular-weight organic species which are difficult to analyse but important for the formation of organic aerosol. This study examined a new high-resolution technique to better characterise these difficult-to-analyse organic components. Some burning sources analysed in this study, such as cow dung cake and municipal solid waste, released extremely complex mixtures containing many thousands of different lower-volatility organic compounds.
Gareth J. Stewart, W. Joe F. Acton, Beth S. Nelson, Adam R. Vaughan, James R. Hopkins, Rahul Arya, Arnab Mondal, Ritu Jangirh, Sakshi Ahlawat, Lokesh Yadav, Sudhir K. Sharma, Rachel E. Dunmore, Siti S. M. Yunus, C. Nicholas Hewitt, Eiko Nemitz, Neil Mullinger, Ranu Gadi, Lokesh K. Sahu, Nidhi Tripathi, Andrew R. Rickard, James D. Lee, Tuhin K. Mandal, and Jacqueline F. Hamilton
Atmos. Chem. Phys., 21, 2383–2406, https://doi.org/10.5194/acp-21-2383-2021, https://doi.org/10.5194/acp-21-2383-2021, 2021
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Biomass burning is a major source of trace gases to the troposphere; however, the composition and quantity of emissions vary greatly between different fuel types. This work provided near-total quantitation of non-methane volatile organic compounds from combustion of biofuels from India. Emissions from cow dung cake combustion were significantly larger than conventional fuelwood combustion, potentially indicating that this source has a disproportionately large impact on regional air quality.
Francesco Canonaco, Anna Tobler, Gang Chen, Yulia Sosedova, Jay Gates Slowik, Carlo Bozzetti, Kaspar Rudolf Daellenbach, Imad El Haddad, Monica Crippa, Ru-Jin Huang, Markus Furger, Urs Baltensperger, and André Stephan Henry Prévôt
Atmos. Meas. Tech., 14, 923–943, https://doi.org/10.5194/amt-14-923-2021, https://doi.org/10.5194/amt-14-923-2021, 2021
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Long-term ambient aerosol mass spectrometric data were analyzed with a statistical model (PMF) to obtain source contributions and fingerprints. The new aspects of this paper involve time-dependent source fingerprints by a rolling technique and the replacement of the full visual inspection of each run by a user-defined set of criteria to monitor the quality of each of these runs more efficiently. More reliable sources will finally provide better instruments for political mitigation strategies.
Pragati Rai, Jay G. Slowik, Markus Furger, Imad El Haddad, Suzanne Visser, Yandong Tong, Atinderpal Singh, Günther Wehrle, Varun Kumar, Anna K. Tobler, Deepika Bhattu, Liwei Wang, Dilip Ganguly, Neeraj Rastogi, Ru-Jin Huang, Jaroslaw Necki, Junji Cao, Sachchida N. Tripathi, Urs Baltensperger, and André S. H. Prévôt
Atmos. Chem. Phys., 21, 717–730, https://doi.org/10.5194/acp-21-717-2021, https://doi.org/10.5194/acp-21-717-2021, 2021
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We present a simple conceptual framework based on elemental size distributions and enrichment factors that allows for a characterization of major sources, site-to-site similarities, and local differences and the identification of key information required for efficient policy development. Absolute concentrations are by far the highest in Delhi, followed by Beijing, and then the European cities.
Ravi Sahu, Ayush Nagal, Kuldeep Kumar Dixit, Harshavardhan Unnibhavi, Srikanth Mantravadi, Srijith Nair, Yogesh Simmhan, Brijesh Mishra, Rajesh Zele, Ronak Sutaria, Vidyanand Motiram Motghare, Purushottam Kar, and Sachchida Nand Tripathi
Atmos. Meas. Tech., 14, 37–52, https://doi.org/10.5194/amt-14-37-2021, https://doi.org/10.5194/amt-14-37-2021, 2021
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A unique feature of our low-cost sensor deployment is a swap-out experiment wherein four of the six sensors were relocated to different sites in the two phases. The swap-out experiment is crucial in investigating the efficacy of calibration models when applied to weather and air quality conditions vastly different from those present during calibration. We developed a novel local calibration algorithm based on metric learning that offers stable and accurate calibration performance.
Sebnem Aksoyoglu, Jianhui Jiang, Giancarlo Ciarelli, Urs Baltensperger, and André S. H. Prévôt
Atmos. Chem. Phys., 20, 15665–15680, https://doi.org/10.5194/acp-20-15665-2020, https://doi.org/10.5194/acp-20-15665-2020, 2020
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We investigated the role of ammonia in European air quality between 1990 and 2030 under varying land and ship emissions. If ship emissions will be regulated more strictly in the future, particulate nitrate will decrease in coastal areas in northern Europe, while sulfate aerosol will decrease in the Mediterranean region. We predict a shift in the sensitivity of aerosol formation from NH3 towards NOx emissions between 1990 and 2030 in most of Europe except the eastern part of the model domain.
Goutam Choudhury, Bhishma Tyagi, Naresh Krishna Vissa, Jyotsna Singh, Chandan Sarangi, Sachchida Nand Tripathi, and Matthias Tesche
Atmos. Chem. Phys., 20, 15389–15399, https://doi.org/10.5194/acp-20-15389-2020, https://doi.org/10.5194/acp-20-15389-2020, 2020
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This study uses 17 years (2001–2017) of observed rain rate, aerosol optical depth (AOD), meteorological reanalysis fields and outgoing long-wave radiation to investigate high precipitation events at the foothills of the Himalayas. Composite analysis of all data sets for high precipitation events (daily rainfall > 95th percentile) indicates clear and robust associations between high precipitation events, high aerosol loading and high moist static energy values.
Anna K. Tobler, Alicja Skiba, Dongyu S. Wang, Philip Croteau, Katarzyna Styszko, Jarosław Nęcki, Urs Baltensperger, Jay G. Slowik, and André S. H. Prévôt
Atmos. Meas. Tech., 13, 5293–5301, https://doi.org/10.5194/amt-13-5293-2020, https://doi.org/10.5194/amt-13-5293-2020, 2020
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Some quadrupole aerosol chemical speciation monitors (Q-ACSMs) have had issues with the quantification of particulate chloride, resulting in apparent negative chloride concentrations. We can show that this is due to the different behavior of Cl+ and HCl+, and we present a correction for the more accurate quantification of chloride. The correction can be applied to measurements in environments where the particulate chloride is dominated by NH4Cl.
Cited articles
Anenberg, S. C., Henze, D. K., Tinney, V., Kinney, P. L., Raich, W., Fann,
N., Malley, C. S., Roman, H., Lamsal, L., Duncan, B., Martin, R. v., van
Donkelaar, A., Brauer, M., Doherty, R., Jonson, J. E., Davila, Y., Sudo, K.,
and Kuylenstierna, J. C. I.: Estimates of the Global Burden of Ambient
PM2.5, Ozone, and NO2 on Asthma Incidence and Emergency Room Visits, Environ.
Health Perspect., 126, 107004, https://doi.org/10.1289/EHP3766, 2018.
Atkinson, R.: Atmospheric chemistry of VOCs and NOx, Atmos. Environ., 34, 2063–2101, https://doi.org/10.1016/S1352-2310(99)00460-4, 2000.
2000.
Atkinson, R. and Arey, J.: Atmospheric Degradation of Volatile Organic
Compounds, Chem. Rev., 103, 4605–4638, https://doi.org/10.1021/cr0206420,
2003.
Atkinson, R., Baulch, D. L., Cox, R. A., Crowley, J. N., Hampson, R. F., Hynes, R. G., Jenkin, M. E., Rossi, M. J., and Troe, J.: Evaluated kinetic and photochemical data for atmospheric chemistry: Volume I – gas phase reactions of Ox, HOx, NOx and SOx species, Atmos. Chem. Phys., 4, 1461–1738, https://doi.org/10.5194/acp-4-1461-2004, 2004.
Balakrishnan, K., Chen, G., Brauer, M., and Chow, J.: IARC Monographs on the Evaluation of Carcinogenic Risks to Humans: Outdoor Air Pollution, International Agency for Research on Cancer – World Health Organisation, 656 pp., ISBN 978-92-832-0175-5, 2015.
Baudic, A., Gros, V., Sauvage, S., Locoge, N., Sanchez, O., Sarda-Estève, R., Kalogridis, C., Petit, J.-E., Bonnaire, N., Baisnée, D., Favez, O., Albinet, A., Sciare, J., and Bonsang, B.: Seasonal variability and source apportionment of volatile organic compounds (VOCs) in the Paris megacity (France), Atmos. Chem. Phys., 16, 11961–11989, https://doi.org/10.5194/acp-16-11961-2016, 2016.
Blake, R. S., Whyte, C., Hughes, C. O., Ellis, A. M., and Monks, P. S.:
Demonstration of proton-transfer reaction time-of-flight mass spectrometry
for real-time analysis of trace volatile organic compounds, Anal. Chem., 76,
3841–3845, https://doi.org/10.1021/ac0498260, 2004.
Blake, R. S., Monks, P. S., and Ellis, A. M.: Proton-transfer reaction mass
spectrometry, Chem. Rev., 109, 861–896, https://doi.org/10.1021/cr800364q,
2009.
Brilli, F., Gioli, B., Ciccioli, P., Zona, D., Loreto, F., Janssens, I. A.,
and Ceulemans, R.: Proton Transfer Reaction Time-of-Flight Mass
Spectrometric (PTR-TOF-MS) determination of volatile organic compounds
(VOCs) emitted from a biomass fire developed under stable nocturnal
conditions, Atmos. Environ., 97, 54–67,
https://doi.org/10.1016/j.atmosenv.2014.08.007, 2014.
Bruns, E. A., El Haddad, I., Slowik, J. G., Kilic, D., Klein, F., Baltensperger, U., and Prévôt, A. S. H.: Identification of significant precursor gases of secondary organic aerosols from residential wood combustion, Sci. Rep., 6, 1–9, https://doi.org/10.1038/srep27881, 2016.
Bruns, E. A., Slowik, J. G., El Haddad, I., Kilic, D., Klein, F., Dommen, J., Temime-Roussel, B., Marchand, N., Baltensperger, U., and Prévôt, A. S. H.: Characterization of gas-phase organics using proton transfer reaction time-of-flight mass spectrometry: fresh and aged residential wood combustion emissions, Atmos. Chem. Phys., 17, 705–720, https://doi.org/10.5194/acp-17-705-2017, 2017.
Burnett, R. T., Arden Pope, C., Ezzati, M., Olives, C., Lim, S. S., Mehta,
S., Shin, H. H., Singh, G., Hubbell, B., Brauer, M., Ross Anderson, H.,
Smith, K. R., Balmes, J. R., Bruce, N. G., Kan, H., Laden, F.,
Prüss-Ustün, A., Turner, M. C., Gapstur, S. M., Diver, W. R., and
Cohen, A.: An integrated risk function for estimating the global burden of
disease attributable to ambient fine particulate matter exposure, Environ.
Health Perspect., 122, 397–403, https://doi.org/10.1289/ehp.1307049, 2014.
Canonaco, F., Crippa, M., Slowik, J. G., Baltensperger, U., and Prévôt, A. S. H.: SoFi, an IGOR-based interface for the efficient use of the generalized multilinear engine (ME-2) for the source apportionment: ME-2 application to aerosol mass spectrometer data, Atmos. Meas. Tech., 6, 3649–3661, https://doi.org/10.5194/amt-6-3649-2013, 2013.
Canonaco, F., Tobler, A., Chen, G., Sosedova, Y., Slowik, J. G., Bozzetti, C., Daellenbach, K. R., El Haddad, I., Crippa, M., Huang, R.-J., Furger, M., Baltensperger, U., and Prévôt, A. S. H.: A new method for long-term source apportionment with time-dependent factor profiles and uncertainty assessment using SoFi Pro: application to 1 year of organic aerosol data, Atmos. Meas. Tech., 14, 923–943, https://doi.org/10.5194/amt-14-923-2021, 2021.
Cao, X., Yao, Z., Shen, X., Ye, Y., and Jiang, X.: On-road emission
characteristics of VOCs from light-duty gasoline vehicles in Beijing, China,
Atmos. Environ., 124, 146–155,
https://doi.org/10.1016/j.atmosenv.2015.06.019, 2016.
Caplain, I., Cazier, F., Nouali, H., Mercier, A., Déchaux, J. C.,
Nollet, V., Joumard, R., André, J. M., and Vidon, R.: Emissions of
unregulated pollutants from European gasoline and diesel passenger cars,
Atmos. Environ., 40, 5954–5966,
https://doi.org/10.1016/j.atmosenv.2005.12.049, 2006.
Cappellin, L., Karl, T., Probst, M., Ismailova, O., Winkler, P. M.,
Soukoulis, C., Aprea, E., Märk, T. D., Gasperi, F., and Biasioli, F.: On
quantitative determination of volatile organic compound concentrations using
proton transfer reaction time-of-flight mass spectrometry, Environ. Sci.
Technol., 46, 2283–2290, https://doi.org/10.1021/es203985t, 2012.
Carter, W.: Updated maximum incremental reactivity scale and hydrocarbon bin reactivities for regulatory applications, California Air Resources Board Contract 339, 84 pp., https://hero.epa.gov/hero/index.cfm/reference/details/reference_id/192380 (last access: 30 July 2022), 2010.
Carter, W. P. L.: Development of ozone reactivity scales for volatile
organic compounds, J. Air Waste Manage. Assoc., 44, 881–899,
https://doi.org/10.1080/1073161x.1994.10467290, 1994a.
Carter, W. P. L.: Reactivity Estimates for Selected consumer product compounds- Final Report to the California Air resources Board, 162 pp., https://www.regulations.gov/document/EPA-HQ-OAR-2013-0775-0021 (last access: 30 July 2022), 2008.
Census of India: Registrar General and Census Commissioner of India, https://censusindia.gov.in (last access: 15 July 2022), 2011.
Chameides, W. L., Fehsenfeld, F., Rodgers, M. O., Cardelino, C., Martinez,
J., Parrish, D., Lonneman, W., Lawson, D. R., Rasmussen, R. A., Zimmerman,
P., Greenberg, J., Middleton, P., and Wang, T.: Ozone precursor
relationships in the ambient atmosphere, J. Geophys. Res., 97, 6037–6055,
https://doi.org/10.1029/91JD03014, 1992.
Chattopadhyay, G., Samanta, G., Chatterjee, S., and Chakraborti, D.:
Determination of benzene, toluene and xylene in ambient air of calcutta for
three years during winter, Environ. Technol., 18,
211–218, https://doi.org/10.1080/09593331808616529, 1997.
Chauhan, S. K., Saini, N., and Yadav, V. B.: Recent Trends of Volatile
Organic Compounds in Ambient Air & Its Health Impacts: a Review,
International Journal For Technological Research In Engineering, 1,
667–678, 2014.
Chebbi, A. and Carlier, P.: Carboxylic acids in the troposphere, occurrence, sources, and sinks: A review, Atmos. Environ., 30, 4233–4249,
https://doi.org/10.1016/1352-2310(96)00102-1, 1996.
Coggon, M. M., Lim, C. Y., Koss, A. R., Sekimoto, K., Yuan, B., Gilman, J. B., Hagan, D. H., Selimovic, V., Zarzana, K. J., Brown, S. S., Roberts, J. M., Müller, M., Yokelson, R., Wisthaler, A., Krechmer, J. E., Jimenez, J. L., Cappa, C., Kroll, J. H., de Gouw, J., and Warneke, C.: OH chemistry of non-methane organic gases (NMOGs) emitted from laboratory and ambient biomass burning smoke: evaluating the influence of furans and oxygenated aromatics on ozone and secondary NMOG formation, Atmos. Chem. Phys., 19, 14875–14899, https://doi.org/10.5194/acp-19-14875-2019, 2019.
Davison, A. C. and Hinkley, D. V.: Bootstrap Methods and their Application,
Cambridge University Press, https://doi.org/10.1017/CBO9780511802843, 1997.
Decarlo, P. F., Kimmel, J. R., Trimborn, A., Northway, M. J., Jayne, J. T.,
Aiken, A. C., Gonin, M., Fuhrer, K., Horvath, T., Docherty, K. S., Worsnop,
D. R., and Jimenez, J. L.: Field-Deployable, High-Resolution, Time-of-Flight
Aerosol Mass Spectrometer, Anal. Chem., 78, 8281–8289,
https://doi.org//10.1021/ac061249n, 2006.
de Gouw, J. A., Middlebrook, A. M., Warneke, C., Goldan, P. D., Kuster, W.
C., Roberts, J. M., Fehsenfeld, F. C., Worsnop, D. R., Canagaratna, M. R.,
Pszenny, A. A. P., Keene, W. C., Marchewka, M., Bertman, S. B., and Bates,
T. S.: Budget of organic carbon in a polluted atmosphere: Results from the
New England Air Quality Study in 2002, J. Geophys. Res.-Atmos, 110, 1–22, https://doi.org/10.1029/2004JD005623, 2005.
Derwent, R. G., Jenkin, M. E., Passant, N. R., and Pilling, M. J.:
Reactivity-based strategies for photochemical ozone control in Europe,
Environ. Sci. Policy, 10, 445–453,
https://doi.org/10.1016/j.envsci.2007.01.005, 2007.
Draxler, R. R. and Hess, G. D.: An overview of the HYSPLIT_4 modelling system for trajectories, dispersion and deposition, Aust. Meteorol. Mag., 47, 295–308, 1998.
Draxler, R. R., Stunder, B., Rolph, G., Stein, A., and Taylor, A.: HYSPLIT4 User’s Guide: Version 4, http://www.arl.noaa.gov/hysplit.html (last access: 15 July 2022), 2018.
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.
Drinovec, L., Gregorič, A., Zotter, P., Wolf, R., Bruns, E. A., Prévôt, A. S. H., Petit, J.-E., Favez, O., Sciare, J., Arnold, I. J., Chakrabarty, R. K., Moosmüller, H., Filep, A., and Močnik, G.: The filter-loading effect by ambient aerosols in filter absorption photometers depends on the coating of the sampled particles, Atmos. Meas. Tech., 10, 1043–1059, https://doi.org/10.5194/amt-10-1043-2017, 2017.
Duan, J., Tan, J., Yang, L., Wu, S., and Hao, J.: Concentration, sources and
ozone formation potential of volatile organic compounds (VOCs) during ozone
episode in Beijing, Atmos. Res., 88, 25–35,
https://doi.org/10.1016/j.atmosres.2007.09.004, 2008.
Fukusaki, Y., Kousa, Y., Umehara, M., Ishida, M., Sato, R., Otagiri, K.,
Hoshi, J., Nudejima, C., Takahashi, K., and Nakai, S.: Source region
identification and source apportionment of volatile organic compounds in the
Tokyo Bay coastal area, Japan, Atmos. Environ., 9, 100103,
https://doi.org/10.1016/j.aeaoa.2021.100103, 2021a.
Fukusaki, Y., Kousa, Y., Umehara, M., Ishida, M., Sato, R., Otagiri, K.,
Hoshi, J., Nudejima, C., Takahashi, K., and Nakai, S.: Source region
identification and source apportionment of volatile organic compounds in the
Tokyo Bay coastal area, Japan, Atmos. Environ., 9, 100103,
https://doi.org/10.1016/j.aeaoa.2021.100103, 2021b.
Garg, A., Gupta, N. C., and Tyagi, S. K.: Study of seasonal and spatial
variability among benzene, toluene, and p-Xylene (BTp-X) in ambient air of
Delhi, India, Pollution, 5, 135–146,
https://doi.org/10.22059/poll.2018.260934.469, 2019.
Gilman, J. B., Lerner, B. M., Kuster, W. C., and De Gouw, J. A.: Source
signature of volatile organic compounds from oil and natural gas operations
in northeastern Colorado, Environ. Sci. Technol., 47, 1297–1305,
https://doi.org/10.1021/es304119a, 2013.
Government of India: Road Transport Year Book (2016-17), Ministry of Ministry of Road Transport and Highways Transport Research wing, 73 pp., https://morth.nic.in/road-transport-year-books (last access: 30 July 2022), 2019.
Graus, M., Müller, M., and Hansel, A.: High resolution PTR-TOF:
Quantification and Formula Confirmation of VOC in Real Time, J. Am. Soc. Mass.
Spectrom., 21, 1037–1044, https://doi.org/10.1016/j.jasms.2010.02.006, 2010.
Guo, S., Wang, Y., Zhang, T., Ma, Z., Ye, C., Lin, W., Yang Zong, D. J., and
Yang Zong, B. M.: Volatile organic compounds in urban Lhasa: variations,
sources, and potential risks, Front Environ. Sci., 10, 1–16,
https://doi.org/10.3389/fenvs.2022.941100, 2022.
Haider, K. M., Lafouge, F., Carpentier, Y., Houot, S., Petitprez, D.,
Loubet, B., Focsa, C., and Ciuraru, R.: Chemical identification and quantification of volatile organic compounds emitted by sewage sludge,
Sci. Total Environ., 838, 55948,
https://doi.org/10.1016/j.scitotenv.2022.155948, 2022.
Hallquist, M., Wenger, J. C., Baltensperger, U., Rudich, Y., Simpson, D., Claeys, M., Dommen, J., Donahue, N. M., George, C., Goldstein, A. H., Hamilton, J. F., Herrmann, H., Hoffmann, T., Iinuma, Y., Jang, M., Jenkin, M. E., Jimenez, J. L., Kiendler-Scharr, A., Maenhaut, W., McFiggans, G., Mentel, Th. F., Monod, A., Prévôt, A. S. H., Seinfeld, J. H., Surratt, J. D., Szmigielski, R., and Wildt, J.: The formation, properties and impact of secondary organic aerosol: current and emerging issues, Atmos. Chem. Phys., 9, 5155–5236, https://doi.org/10.5194/acp-9-5155-2009, 2009.
Hansel, A., Jordan, A., Warneke, C., Holzinger, R., Wisthaler, A., and
Lindinger, W.: Proton-transfer-reaction mass spectrometry (PTR-MS): On-line
monitoring of volatile organic compounds at volume mixing ratios of a few
pptv, Plasma Sources Sci. Technol., 8, 332–336,
https://doi.org/10.1088/0963-0252/8/2/314, 1999.
Harrison, M. A. J., Barra, S., Borghesi, D., Vione, D., Arsene, C., and
Iulian Olariu, R.: Nitrated phenols in the atmosphere: A review, Atmos.
Environ., 39, 231–248, https://doi.org/10.1016/j.atmosenv.2004.09.044, 2005.
Heald, C. L., Henze, D. K., Horowitz, L. W., Feddema, J., Lamarque, J. F.,
Guenther, A., Hess, P. G., Vitt, F., Seinfeld, J. H., Godstein, A. H., and
Fung, I.: Predicted change in global secondary organic aerosol
concentrations in response to future climate, emissions, and land use
change, J. Geophys. Res.-Atmos., 113, 1–16,
https://doi.org/10.1029/2007JD009092, 2008.
Holzinger, R., Wameke, C., Hansel, A., Jordan, A., Lindinger, W., Scharffe,
D. H., Schade, G., and Crutzen, P. J.: Biomass burning as a source of
formaldehyde, acetaldehyde, methanol, acetone, acetonitrile, and hydrogen
cyanide, Geophys. Res. Lett., 26, 1161–1164,
https://doi.org/10.1029/1999GL900156, 1999.
Hoque, R. R., Khillare, P. S., Agarwal, T., Shridhar, V., and Balachandran,
S.: Spatial and temporal variation of BTEX in the urban atmosphere of Delhi,
India, Sci. Total Environ., 392, 30–40,
https://doi.org/10.1016/j.scitotenv.2007.08.036, 2008.
Hui, L., Liu, X., Tan, Q., Feng, M., An, J., Qu, Y., Zhang, Y., and Jiang,
M.: Characteristics, source apportionment and contribution of VOCs to ozone
formation in Wuhan, Central China, Atmos. Environ., 192, 55–71,
https://doi.org/10.1016/j.atmosenv.2018.08.042, 2018.
Jain, V., Tripathi, S. N., Tripathi, N., Sahu, L. K., Gaddamidi, S., Shukla,
A. K., Bhattu, D., and Ganguly, D.: Seasonal variability and source
apportionment of non-methane VOCs using PTR-TOF-MS measurements in Delhi ,
India, Atmos. Environ., 283, 119163,
https://doi.org/10.1016/j.atmosenv.2022.119163, 2022.
Jang, M., Czoschke, N. M., Lee, S., and Kamens, R. M.: Heterogeneous
atmospheric aerosol production by acid-catalyzed particle-phase reactions,
Science, 298, 814–817, https://doi.org/10.1126/science.1075798,
2002.
Jayne, J. T., Worsnop, D. R., Kolb, C. E., Leard, D., Davidovits, P., Zhang,
X., and Smith, K. A.: Aerosol mass spectrometer for size and composition
analysis of submicron particles, J. Aerosol. Sci., 29, 49–70,
https://doi.org/10.1016/S0021-8502(98)00158-X, 1998.
Jayne, J. T., Leard, D. C., Zhang, X., Davidovits, P., Smith, K. A., Kolb,
C. E., and Worsnop, D. R.: Development of an aerosol mass spectrometer for
size and composition analysis of submicron particles, Aerosol Sci.
Technol., 33, 49–70, https://doi.org/10.1080/027868200410840, 2000.
Jia, C. and Batterman, S.: A critical review of naphthalene sources and
exposures relevant to indoor and outdoor air, Int. J. Environ. Res. Public
Health, 7, 2903–2939, https://doi.org/10.3390/ijerph7072903, 2010.
Jordan, A., Haidacher, S., Hanel, G., Hartungen, E., Märk, L.,
Seehauser, H., Schottkowsky, R., Sulzer, P., and Märk, T. D.: A high
resolution and high sensitivity proton-transfer-reaction time-of-flight mass
spectrometer (PTR-TOF-MS), Int. J. Mass. Spectrom., 286, 122–128,
https://doi.org/10.1016/j.ijms.2009.07.005, 2009.
Kerminen, V. M., Lihavainen, H., Komppula, M., Viisanen, Y., and Kulmala,
M.: Direct observational evidence linking atmospheric aerosol formation and
cloud droplet activation, Geophys. Res. Lett., 32, 1–4,
https://doi.org/10.1029/2005GL023130, 2005.
Kroll, J. H., Ng, N. L., Murphy, S. M., Flagan, R. C., and Seinfeld, J. H.:
Secondary organic aerosol formation from isoprene photooxidation, Environ.
Sci. Technol., 40, 1869–1877, https://doi.org/10.1021/es0524301, 2006.
Kumar, A., Sinha, V., Shabin, M., Hakkim, H., Bonsang, B., and Gros, V.: Non-methane hydrocarbon (NMHC) fingerprints of major urban and agricultural emission sources for use in source apportionment studies, Atmos. Chem. Phys., 20, 12133–12152, https://doi.org/10.5194/acp-20-12133-2020, 2020.
Laaksonen, A., Hamed, A., Joutsensaari, J., Hiltunen, L., Cavalli, F.,
Junkermann, W., Asmi, A., Fuzzi, S., and Facchini, M. C.: Cloud condensation
nucleus production from nucleation events at a highly polluted region,
Geophys. Res. Lett., 32, 1–4, https://doi.org/10.1029/2004GL022092, 2005.
Lalchandani, V., Kumar, V., Tobler, A., M. Thamban, N., Mishra, S., Slowik,
J. G., Bhattu, D., Rai, P., Satish, R., Ganguly, D., Tiwari, S., Rastogi,
N., Tiwari, S., Močnik, G., Prévôt, A. S. H., and Tripathi, S.
N.: 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.
Lalchandani, V., Srivastava, D., Dave, J., Mishra, S., Tripathi, N., Shukla,
A. K., Sahu, R., Thamban, N. M., Gaddamidi, S., Dixit, K., Ganguly, D.,
Tiwari, S., Srivastava, A. K., Sahu, L., Rastogi, N., Gargava, P., and
Tripathi, S. N.: Effect of Biomass Burning on PM2.5 Composition and
Secondary Aerosol Formation During Post-Monsoon and Winter Haze Episodes in
Delhi, J. Geophys. Res.-Atmos., 127, 1–21,
https://doi.org/10.1029/2021JD035232, 2022.
Laskin, A., Smith, J. S., and Laskin, J.: Molecular characterization of
nitrogen-containing organic compounds in biomass burning aerosols using
high-resolution mass spectrometry, Environ. Sci. Technol., 43, 3764–3771,
https://doi.org/10.1021/es803456n, 2009.
Lawrence, A. and Fatima, N.: Urban air pollution & its assessment in
Lucknow City – The second largest city of North India, Sci. Total
Environ., 488–489, 447–455,
https://doi.org/10.1016/j.scitotenv.2013.10.106, 2014.
Lee, A., Goldstein, A. H., Keywood, M. D., Gao, S., Ng, N. L., Varutbangkul,
V., Bahreini, R., Flagan, R. C., and Seinfeld, J. H.: Gas-phase products and
secondary aerosol yields from the ozonolysis of ten different terpenes,
J.Geophys. Res.-Atmos., 111, D17305,
https://doi.org/10.1029/2005JD006437, 2006a.
Lee, A., Goldstein, A. H., Kroll, J. H., Ng, N. L., Varutbangkul, V.,
Flagan, R. C., and Seinfeld, J. H.: Gas-phase products and secondary aerosol
yields from the photooxidation of 16 different terpenes, J.
Geophys. Res.-Atmos., 111, D07302,
https://doi.org/10.1029/2006JD007050, 2006b.
Li, Y. J., Huang, D. D., Cheung, H. Y., Lee, A. K. Y., and Chan, C. K.: Aqueous-phase photochemical oxidation and direct photolysis of vanillin – a model compound of methoxy phenols from biomass burning, Atmos. Chem. Phys., 14, 2871–2885, https://doi.org/10.5194/acp-14-2871-2014, 2014.
Lyu, X. P., Zeng, L. W., Guo, H., Simpson, I. J., Ling, Z. H., Wang, Y.,
Murray, F., Louie, P. K. K., Saunders, S. M., Lam, S. H. M., and Blake, D.
R.: Evaluation of the effectiveness of air pollution control measures in
Hong Kong, Environ. Pollut. 220, 87–94,
https://doi.org/10.1016/j.envpol.2016.09.025, 2017.
Majumdar, D., Mukherjeea, A. K., and Sen, S.: BTEX in Ambient Air of a
Metropolitan City, J. Environ. Prot., 2, 11–20,
https://doi.org/10.4236/jep.2011.21002, 2011.
Majumdar (neé Som), D., Dutta, C., Mukherjee, A. K., and Sen, S.: Source
apportionment of VOCs at the petrol pumps in Kolkata, India; exposure of
workers and assessment of associated health risk, Transport Res.-D Tr.
E., 13, 524–530, https://doi.org/10.1016/j.trd.2008.09.011, 2008.
Markandeya, Verma, P. K., Mishra, V., Singh, N. K., Shukla, S. P., and
Mohan, D.: Spatio-temporal assessment of ambient air quality, their health
effects and improvement during COVID-19 lockdown in one of the most polluted
cities of India, Environ. Sci. Pollut. Res., 28,
10536–10551, https://doi.org/10.1007/s11356-020-11248-3, 2021.
Ministry of MSME, Government of India: Brief Industrial Profile of District Lucknow: Uttar Pradesh, Lucknow, MSME – Development Institute, 1–21, http://www.msmedikanpur.gov.in/views/dip.asp (last access: 30 July 2022), 2018.
Mohr, C., Lopez-Hilfiker, F. D., Zotter, P., Prévoît, A. S. H., Xu,
L., Ng, N. L., Herndon, S. C., Williams, L. R., Franklin, J. P., Zahniser,
M. S., Worsnop, D. R., Knighton, W. B., Aiken, A. C., Gorkowski, K. J.,
Dubey, M. K., Allan, J. D., and Thornton, J. A.: Contribution of nitrated
phenols to wood burning brown carbon light absorption in detling, united
kingdom during winter time, Environ. Sci. Technol., 47, 6316–6324,
https://doi.org/10.1021/es400683v, 2013.
Monks, P. S., Granier, C., Fuzzi, S., Stohl, A., Williams, M. L., Akimoto,
H., Amann, M., Baklanov, A., Baltensperger, U., Bey, I., Blake, N., Blake,
R. S., Carslaw, K., Cooper, O. R., Dentener, F., Fowler, D., Fragkou, E.,
Frost, G. J., Generoso, S., Ginoux, P., Grewe, V., Guenther, A., Hansson, H.
C., Henne, S., Hjorth, J., Hofzumahaus, A., Huntrieser, H., Isaksen, I. S.
A., Jenkin, M. E., Kaiser, J., Kanakidou, M., Klimont, Z., Kulmala, M., Laj,
P., Lawrence, M. G., Lee, J. D., Liousse, C., Maione, M., McFiggans, G.,
Metzger, A., Mieville, A., Moussiopoulos, N., Orlando, J. J., O'Dowd, C. D.,
Palmer, P. I., Parrish, D. D., Petzold, A., Platt, U., Pöschl, U.,
Prévôt, A. S. H., Reeves, C. E., Reimann, S., Rudich, Y., Sellegri,
K., Steinbrecher, R., Simpson, D., ten Brink, H., Theloke, J., van der Werf,
G. R., Vautard, R., Vestreng, V., Vlachokostas, C., and von Glasow, R.:
Atmospheric composition change – global and regional air quality, Atmos.
Environ., 43, 5268–5350, https://doi.org/10.1016/j.atmosenv.2009.08.021,
2009.
Müller, M., Graus, M., Wisthaler, A., Hansel, A., Metzger, A., Dommen, J., and Baltensperger, U.: Analysis of high mass resolution PTR-TOF mass spectra from 1,3,5-trimethylbenzene (TMB) environmental chamber experiments, Atmos. Chem. Phys., 12, 829–843, https://doi.org/10.5194/acp-12-829-2012, 2012.
Ng, N. L., Chhabra, P. S., Chan, A. W. H., Surratt, J. D., Kroll, J. H., Kwan, A. J., McCabe, D. C., Wennberg, P. O., Sorooshian, A., Murphy, S. M., Dalleska, N. F., Flagan, R. C., and Seinfeld, J. H.: Effect of NOx level on secondary organic aerosol (SOA) formation from the photooxidation of terpenes, Atmos. Chem. Phys., 7, 5159–5174, https://doi.org/10.5194/acp-7-5159-2007, 2007.
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, https://doi.org/10.1080/10618600.1999.10474853, 1999.
Paatero, P. and Hopke, P. K.: Discarding or downweighting high-noise
variables in factor analytic models, Anal. Chim. Acta, 490, 277–289,
https://doi.org/10.1016/S0003-2670(02)01643-4, 2003.
Paatero, P. and Tapper, U.: Analysis of different modes of factor analysis
as least squares fit problems, Chemometr. Intell. Lab., 18, 183–194, https://doi.org/10.1016/0169-7439(93)80055-M, 1993.
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., Eberly, S., Brown, S. G., and Norris, G. A.: Methods for estimating uncertainty in factor analytic solutions, Atmos. Meas. Tech., 7, 781–797, https://doi.org/10.5194/amt-7-781-2014, 2014.
Pallavi, Sinha, B., and Sinha, V.: Source apportionment of volatile organic compounds in the northwest Indo-Gangetic Plain using a positive matrix factorization model, Atmos. Chem. Phys., 19, 15467–15482, https://doi.org/10.5194/acp-19-15467-2019, 2019.
Pandey, P., Khan, A. H., Verma, A. K., Singh, K. A., Mathur, N., Kisku, G.
C., and Barman, S. C.: Seasonal trends of PM2.5 and PM10 in ambient air
and their correlation in ambient air of Lucknow City, India, Bull. Environ.
Contam. Toxicol., 88, 265–270, https://doi.org/10.1007/s00128-011-0466-x,
2012.
Pandey, P., Patel, D. K., Khan, A. H., Barman, S. C., Murthy, R. C., and
Kisku, G. C.: Temporal distribution of fine particulates (PM2.5, PM10),
potentially toxic metals, PAHs and Metal-bound carcinogenic risk in the
population of Lucknow City, India, J. Environ Sci. Heal. A, 48, 730–745, https://doi.org/10.1080/10934529.2013.744613,
2013.
Peña, R. M., García, S., Herrero, C., Losada, M., Vázquez, A., and Lucas, T.: Organic acids and aldehydes in rainwater in a northwest region of Spain, Atmos. Environ., 36, 5277–5288, https://doi.org/10.1016/S1352-2310(02)00648-9, 2002.
Petit, J. E., Favez, O., Albinet, A., and Canonaco, F.: A user-friendly tool
for comprehensive evaluation of the geographical origins of atmospheric
pollution: Wind and trajectory analyses, Environ. Modell.
Softw., 88, 183–187, https://doi.org/10.1016/j.envsoft.2016.11.022, 2017.
Preuss, R., Angerer, J., and Drexler, H.: Naphthalene - An environmental and
occupational toxicant, Int. Arch. Occ. Env. Hea., 76, 556–576,
https://doi.org/10.1007/s00420-003-0458-1, 2003.
Pye, H. O. T., Ward-Caviness, C. K., Murphy, B. N., Appel, K. W., and
Seltzer, K. M.: Secondary organic aerosol association with cardiorespiratory
disease mortality in the United States, Nat. Commun., 12, 1–8,
https://doi.org/10.1038/s41467-021-27484-1, 2021.
Qin, J., Wang, X., Yang, Y., Qin, Y., Shi, S., Xu, P., Chen, R., Zhou, X.,
Tan, J., and Wang, X.: Source apportionment of VOCs in a typical
medium-sized city in North China Plain and implications on control policy,
J. Environ. Sci., 107, 26–37,
https://doi.org/10.1016/j.jes.2020.10.005, 2021a.
Qin, M., Murphy, B. N., Isaacs, K. K., McDonald, B. C., Lu, Q., McKeen, S.
A., Koval, L., Robinson, A. L., Efstathiou, C., Allen, C., and Pye, H. O.
T.: Criteria pollutant impacts of volatile chemical products informed by
near-field modelling, Nat. Sustain., 4, 129–137,
https://doi.org/10.1038/s41893-020-00614-1, 2021b.
Sahu, L. K. and Saxena, P.: High time and mass resolved PTR-TOF-MS
measurements of VOCs at an urban site of India during winter: Role of
anthropogenic, biomass burning, biogenic and photochemical sources, Atmos.
Res., 164–165, 84–94, https://doi.org/10.1016/j.atmosres.2015.04.021, 2015.
Sahu, L. K., Yadav, R., and Pal, D.: Source identification of VOCs at an
urban site of western India: Effect of marathon events and anthropogenic
emissions, J. Geophys. Res.-Atmos., 121,
2416–2433, https://doi.org/10.1002/2015JD024454, 2016.
Sahu, L. K., Tripathi, N., and Yadav, R.: Contribution of biogenic and
photochemical sources to ambient VOCs during winter to summer transition at
a semi-arid urban site in India, Environ. Pollut., 229, 595–606,
https://doi.org/10.1016/j.envpol.2017.06.091, 2017.
Sandradewi, J., Prévôt, A. S. H., Szidat, S., Perron, N., Alfarra,
M. R., Lanz, V. A., Weingartner, E., and Baltensperger, U. R. S.: Using
aerosol light abosrption measurements for the quantitative determination of
wood burning and traffic emission contribution to particulate matter,
Environ. Sci. Technol., 42, 3316–3323, https://doi.org/10.1021/es702253m,
2008.
Sarkar, C., Sinha, V., Sinha, B., Panday, A. K., Rupakheti, M., and Lawrence, M. G.: Source apportionment of NMVOCs in the Kathmandu Valley during the SusKat-ABC international field campaign using positive matrix factorization, Atmos. Chem. Phys., 17, 8129–8156, https://doi.org/10.5194/acp-17-8129-2017, 2017.
Seco, R., Peñuelas, J., and Filella, I.: Short-chain oxygenated VOCs:
Emission and uptake by plants and atmospheric sources, sinks, and
concentrations, Atmos. Environ., 41, 2477–2499,
https://doi.org/10.1016/j.atmosenv.2006.11.029, 2007.
Seibert, P., Kromp-Kolb, H., Baltensperger, U., Jost, D. T., and Schwikowski, M.: Trajectory Analysis of High-Alpine Air Pollution Data, Air Pollut. Model. Its Appl. X, 595–596, https://doi.org/10.1007/978-1-4615-1817-4_65, 1994.
Sekimoto, K., Koss, A. R., Gilman, J. B., Selimovic, V., Coggon, M. M., Zarzana, K. J., Yuan, B., Lerner, B. M., Brown, S. S., Warneke, C., Yokelson, R. J., Roberts, J. M., and de Gouw, J.: High- and low-temperature pyrolysis profiles describe volatile organic compound emissions from western US wildfire fuels, Atmos. Chem. Phys., 18, 9263–9281, https://doi.org/10.5194/acp-18-9263-2018, 2018.
Sharma, K., Singh, R., Barman, S. C., Mishra, D., Kumar, R., Negi, M. P. S.,
Mandal, S. K., Kisku, G. C., Khan, A. H., Kidwai, M. M., and Bhargava, S.
K.: Comparison of trace metals concentration in PM10 of different locations
of Lucknow City, India, Bull. Environ. Contam. Toxicol., 77, 419–426,
https://doi.org/10.1007/s00128-006-1082-z, 2006.
Sharma, S. and Khare, M.: Simulating ozone concentrations using precursor
emission inventories in Delhi – National Capital Region of India, Atmos.
Environ., 151, 117–132, https://doi.org/10.1016/j.atmosenv.2016.12.009,
2017.
Shukla, A. K., Lalchandani, V., Bhattu, D., Dave, J. S., Rai, P., Thamban,
N. M., Mishra, S., Gaddamidi, S., Tripathi, N., Vats, P., Rastogi, N., Sahu,
L., Ganguly, D., Kumar, M., Singh, V., Gargava, P., and Tripathi, S. 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.
Simonelt, B. R. T., Rogge, W. F., Mazurek, M. A., Standley, L. J.,
Hildemann, L. M., and Cass, G. R.: Lignin Pyrolysis Products, Lignans, and
Resin Acids as Specific Tracers of Plant Classes in Emissions from Biomass
Combustion, Environ. Sci. Technol., 27, 2533–2541,
https://doi.org/10.1021/es00048a034, 1993.
Sinha, V., Kumar, V., and Sarkar, C.: Chemical composition of pre-monsoon air in the Indo-Gangetic Plain measured using a new air quality facility and PTR-MS: high surface ozone and strong influence of biomass burning, Atmos. Chem. Phys., 14, 5921–5941, https://doi.org/10.5194/acp-14-5921-2014, 2014.
Smith, D. and Spanel, P.: Selected ion flow tube mass spectrometry SIFT-MS
for on-line trace gas analysis, Mass. Spectrom. Rev., 24, 661–700,
https://doi.org/10.1002/mas.20033, 2005.
Sotiropoulou, R. E. P., Tagaris, E., Pilinis, C., Anttila, T., and Kulmala,
M.: Modeling new particle formation during air pollution episodes: Impacts
on aerosol and cloud condensation nuclei, Aerosol Sci. Tech.,
40, 557–572, https://doi.org/10.1080/02786820600714346, 2006.
Srivastava, A., Sengupta, B., and Dutta, S. A.: Source apportionment of
ambient VOCs in Delhi City, Sci. Total Environ., 343, 207–220,
https://doi.org/10.1016/j.scitotenv.2004.10.008, 2005.
Srivastava, A., Joseph, A. E., and Devotta, S.: Volatile organic compounds
in ambient air of Mumbai – India, Atmos. Environ., 40, 892–903,
https://doi.org/10.1016/j.atmosenv.2005.10.045, 2006.
Stein, A. F., Draxler, R. R., Rolph, G. D., Stunder, B. J. B., Cohen, M. D., and Ngan, F.: Noaa’s hysplit atmospheric transport and dispersion modeling system, B. Am. Meteorol. Soc., 96, 2059–2077, https://doi.org/10.1175/BAMS-D-14-00110.1, 2015.
Steinbacher, M., Dommen, J., Ammann, C., Spirig, C., Neftel, A., and Prevot,
A. S. H.: Performance characteristics of a proton-transfer-reaction mass
spectrometer (PTR-MS) derived from laboratory and field measurements, Int. J.
Mass. Spectrom., 239, 117–128, https://doi.org/10.1016/j.ijms.2004.07.015,
2004.
Stewart, G. J., Acton, W. J. F., Nelson, B. S., Vaughan, A. R., Hopkins, J. R., Arya, R., Mondal, A., Jangirh, R., Ahlawat, S., Yadav, L., Sharma, S. K., Dunmore, R. E., Yunus, S. S. M., Hewitt, C. N., Nemitz, E., Mullinger, N., Gadi, R., Sahu, L. K., Tripathi, N., Rickard, A. R., Lee, J. D., Mandal, T. K., and Hamilton, J. F.: Emissions of non-methane volatile organic compounds from combustion of domestic fuels in Delhi, India, Atmos. Chem. Phys., 21, 2383–2406, https://doi.org/10.5194/acp-21-2383-2021, 2021a.
Stewart, G. J., Acton, W. J. F., Nelson, B. S., Vaughan, A. R., Hopkins, J. R., Arya, R., Mondal, A., Jangirh, R., Ahlawat, S., Yadav, L., Sharma, S. K., Dunmore, R. E., Yunus, S. S. M., Hewitt, C. N., Nemitz, E., Mullinger, N., Gadi, R., Sahu, L. K., Tripathi, N., Rickard, A. R., Lee, J. D., Mandal, T. K., and Hamilton, J. F.: Emissions of non-methane volatile organic compounds from combustion of domestic fuels in Delhi, India, Atmos. Chem. Phys., 21, 2383–2406, https://doi.org/10.5194/acp-21-2383-2021, 2021b.
Stewart, G. J., Nelson, B. S., Drysdale, W. S., Acton, W. J. F., Vaughan, A.
R., Hopkins, J. R., Dunmore, R. E., Hewitt, C. N., Nemitz, E., Mullinger,
N., Langford, B., Shivani, Reyes-Villegas, E., Gadi, R., Rickard, A. R.,
Lee, J. D., and Hamilton, J. F.: Sources of non-methane hydrocarbons in
surface air in Delhi, India, Faraday Discuss., 226, 409–431,
https://doi.org/10.1039/d0fd00087f, 2021c.
Stockwell, C. E., Veres, P. R., Williams, J., and Yokelson, R. J.: Characterization of biomass burning emissions from cooking fires, peat, crop residue, and other fuels with high-resolution proton-transfer-reaction time-of-flight mass spectrometry, Atmos. Chem. Phys., 15, 845–865, https://doi.org/10.5194/acp-15-845-2015, 2015.
Talukdar, S., Tripathi, S. N., Lalchandani, V., Rupakheti, M., Bhowmik, H.
S., Shukla, A. K., Murari, V., Sahu, R., Jain, V., Tripathi, N., Dave, J.,
Rastogi, N., and Sahu, L.: Air pollution in new delhi during late winter: An
overview of a group of campaign studies focusing on composition and sources,
Atmosphere-Basel, 12, 1–22, https://doi.org/10.3390/atmos12111432, 2021.
Tan, Y., Han, S., Chen, Y., Zhang, Z., Li, H., Li, W., Yuan, Q., Li, X.,
Wang, T., and Lee, S. cheng: Characteristics and source apportionment of
volatile organic compounds (VOCs) at a coastal site in Hong Kong, Sci.
Total Environ., 777, 146241,
https://doi.org/10.1016/j.scitotenv.2021.146241, 2021.
Tang, T., Cheng, Z., Xu, B., Zhang, B., Zhu, S., Cheng, H., Li, J., Chen,
Y., and Zhang, G.: Triple Isotopes (δ13C, δ2H, and Δ14C) Compositions and Source Apportionment of Atmospheric Naphthalene: A
Key Surrogate of Intermediate-Volatility Organic Compounds (IVOCs), Environ.
Sci. Technol., 54, 5409–5418, https://doi.org/10.1021/acs.est.0c00075, 2020.
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.,
Močnik, G., Baltensperger, U., Tripathi, S. N., Slowik, J. G., and
Prévôt, A. S. H.: Chemical characterization of PM2.5 and source
apportionment of organic aerosol in New Delhi, India, Sci. Total
Environ., 745, 1–12, https://doi.org/10.1016/j.scitotenv.2020.140924,
2020.
Tripathi, N. and Sahu, L.: Chemosphere Emissions and atmospheric
concentrations of a-pinene at an urban site of India: Role of changes in
meteorology, Chemosphere, 256, 127071,
https://doi.org/10.1016/j.chemosphere.2020.127071, 2020.
Tripathi, N., Sahu, L. K., Patel, K., Kumar, A., and Yadav, R.: Ambient air
characteristics of biogenic volatile organic compounds at a tropical
evergreen forest site in Central Western Ghats of India, J. Atmos. Chem., 78,
139–159, https://doi.org/10.1007/s10874-021-09415-y, 2021.
Tripathi, N., Sahu, L. K., Wang, L., Vats, P., Soni, M., Kumar, P., Satish,
R. V., Bhattu, D., Sahu, R., Patel, K., Rai, P., Kumar, V., Rastogi, N.,
Ojha, N., Tiwari, S., Ganguly, D., Slowik, J., Prévôt, A. S. H., and
Tripathi, S. N.: Characteristics of VOC composition at urban and suburban
sites of New Delhi, India in winter, J. Geophys. Res.-Atmos., 127, e2021JD035342, https://doi.org/10.1029/2021jd035342, 2022.
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.
Uttar Pradesh Pollution Control Board: Action Plan for the control of Air Pollution in Lucknow city, 5 pp., https://cpcb.nic.in/Actionplan/Lucknow.pdf (last access: 30 July 2022), 2019.
Wang, G., Cheng, S., Wei, W., Zhou, Y., Yao, S., and Zhang, H.:
Characteristics and source apportionment of VOCs in the suburban area of
Beijing, China, Atmos. Pollut. Res., 7, 711–724,
https://doi.org/10.1016/j.apr.2016.03.006, 2016.
Wang, L., Slowik, J. G., Tripathi, N., Bhattu, D., Rai, P., Kumar, V., Vats, P., Satish, R., Baltensperger, U., Ganguly, D., Rastogi, N., Sahu, L. K., Tripathi, S. N., and Prévôt, A. S. H.: Source characterization of volatile organic compounds measured by proton-transfer-reaction time-of-flight mass spectrometers in Delhi, India, Atmos. Chem. Phys., 20, 9753–9770, https://doi.org/10.5194/acp-20-9753-2020, 2020.
Wang, L., Slowik, J. G., Tong, Y., Duan, J., Gu, Y., Rai, P., Qi, L.,
Stefenelli, G., Baltensperger, U., Huang, R. J., Cao, J., and
Prévôt, A. S. H.: Characteristics of wintertime VOCs in urban
Beijing: Composition and source apportionment, Atmos. Environ., 9, 100100,
https://doi.org/10.1016/j.aeaoa.2020.100100, 2021.
Wang, S., Newland, M. J., Deng, W., Rickard, A. R., Hamilton, J. F.,
Muñoz, A., Ródenas, M., Vázquez, M. M., Wang, L., and Wang, X.:
Aromatic Photo-oxidation, A New Source of Atmospheric Acidity, Environ. Sci.
Technol., 54, 7798–7806, https://doi.org/10.1021/acs.est.0c00526, 2020.
Wang, S. X., Zhao, B., Cai, S. Y., Klimont, Z., Nielsen, C. P., Morikawa, T., Woo, J. H., Kim, Y., Fu, X., Xu, J. Y., Hao, J. M., and He, K. B.: Emission trends and mitigation options for air pollutants in East Asia, Atmos. Chem. Phys., 14, 6571–6603, https://doi.org/10.5194/acp-14-6571-2014, 2014.
Warneke, C., de Gouw, J. A., Goldan, P. D., Kuster, W. C., Williams, E. J.,
Lerner, B. M., Jakoubek, R., Brown, S. S., Stark, H., Aldener, M.,
Ravishankara, A. R., Roberts, J. M., Marchewka, M., Bertman, S., Sueper, D.
T., McKeen, S. A., Meagher, J. F., and Fehsenfeld, F. C.: Comparison of
daytime and nighttime oxidation of biogenic and anthropogenic VOCs along the
New England coast in summer during New England Air Quality Study 2002,
J. Geophys. Res.-Atmos., 109, 1–14,
https://doi.org/10.1029/2003JD004424, 2004.
WHO: International Agency for Resaech on Cancer, World Health organisation: IARC Monographs on the identification of carcinogenic hazards to Humans- Acrolein, Crotonaldehyde, And Arecoline, 133 pp., https://www.iarc.who.int/faq/iarc-monographs-meeting-128-acrolein-crotonaldehyde-and-arecoline/ (last access: 15 July 2022), 2021.
Wu, J., Kong, S., Wu, F., Cheng, Y., Zheng, S., Qin, S., Liu, X., Yan, Q.,
Zheng, H., Zheng, M., Yan, Y., Liu, D., Ding, S., Zhao, D., Shen, G., Zhao,
T., and Qi, S.: The moving of high emission for biomass burning in China:
View from multi-year emission estimation and human-driven forces, Environ.
Int., 142, 105812, https://doi.org/10.1016/j.envint.2020.105812, 2020.
Xu, L., Kollman, M. S., Song, C., Shilling, J. E., and Ng, N. L.: Effects of
NOx on the Volatility of Secondary Organic Aerosol from Isoprene
Photooxidation, Environ. Sci. Technol., 48, 2253–2262,
https://doi.org/10.1021/es404842g, 2014.
Yadav, M., Soni, K., Soni, B. K., Singh, N. K., and Bamniya, B. R.: Source
apportionment of particulate matter, gaseous pollutants, and volatile
organic compounds in a future smart city of India, Urban Clim., 28, 100470,
https://doi.org/10.1016/j.uclim.2019.100470, 2019.
Yang, W., Zhang, Y., Wang, X., Li, S., Zhu, M., Yu, Q., Li, G., Huang, Z., Zhang, H., Wu, Z., Song, W., Tan, J., and Shao, M.: Volatile organic compounds at a rural site in Beijing: influence of temporary emission control and wintertime heating, Atmos. Chem. Phys., 18, 12663–12682, https://doi.org/10.5194/acp-18-12663-2018, 2018.
Yee, L. D., Kautzman, K. E., Loza, C. L., Schilling, K. A., Coggon, M. M., Chhabra, P. S., Chan, M. N., Chan, A. W. H., Hersey, S. P., Crounse, J. D., Wennberg, P. O., Flagan, R. C., and Seinfeld, J. H.: Secondary organic aerosol formation from biomass burning intermediates: phenol and methoxyphenols, Atmos. Chem. Phys., 13, 8019–8043, https://doi.org/10.5194/acp-13-8019-2013, 2013.
Zhan, J., Feng, Z., Liu, P., He, X., He, Z., Chen, T., Wang, Y., He, H., Mu,
Y., and Liu, Y.: Ozone and SOA formation potential based on photochemical
loss of VOCs during the Beijing summer, Environ. Pollut., 285,
117444, https://doi.org/10.1016/j.envpol.2021.117444, 2021.
Zhang, F., Xing, J., Zhou, Y., Wang, S., Zhao, B., Zheng, H., Zhao, X.,
Chang, H., Jang, C., Zhu, Y., and Hao, J.: Estimation of abatement
potentials and costs of air pollution emissions in China, J. Environ. Manage.,
260, 110069, https://doi.org/10.1016/j.jenvman.2020.110069, 2020.
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, https://doi.org/10.1007/s00216-011-5355-y, 2011.
Zhang, Z., Wang, H., Chen, D., Li, Q., Thai, P., Gong, D., Li, Y., Zhang,
C., Gu, Y., Zhou, L., Morawska, L., and Wang, B.: Emission characteristics
of volatile organic compounds and their secondary organic aerosol formation
potentials from a petroleum refinery in Pearl River Delta, China, Sci.
Total Enviro., 584–585, 1162–1174,
https://doi.org/10.1016/j.scitotenv.2017.01.179, 2017.
Zheng, J., Shao, M., Che, W., Zhang, L., Zhong, L., Zhang, Y., and Streets,
D.: Speciated VOC emission inventory and spatial patterns of ozone formation
potential in the Pearl River Delta, China, Environ. Sci. Technol., 43,
8580–8586, https://doi.org/10.1021/es901688e, 2009.
Zhu, Y., Yang, L., Chen, J., Wang, X., Xue, L., Sui, X., Wen, L., Xu, C.,
Yao, L., Zhang, J., Shao, M., Lu, S., and Wang, W.: Characteristics of
ambient volatile organic compounds and the influence of biomass burning at a
rural site in Northern China during summer 2013, Atmos. Environ., 124,
156–165, https://doi.org/10.1016/j.atmosenv.2015.08.097, 2016.
Zotter, P., Herich, H., Gysel, M., El-Haddad, I., Zhang, Y., Močnik, G., Hüglin, C., Baltensperger, U., Szidat, S., and Prévôt, A. S. H.: Evaluation of the absorption Ångström exponents for traffic and wood burning in the Aethalometer-based source apportionment using radiocarbon measurements of ambient aerosol, Atmos. Chem. Phys., 17, 4229–4249, https://doi.org/10.5194/acp-17-4229-2017, 2017.
Short summary
This research chemically characterises 173 different NMVOCs (non-methane volatile organic compounds) measured in real time for three seasons in the city of the central Indo-Gangetic basin of India, Lucknow. Receptor modelling is used to analyse probable sources of NMVOCs and their crucial role in forming ozone and secondary organic aerosols. It is observed that vehicular emissions and solid fuel combustion are the highest contributors to the emission of primary and secondary NMVOCs.
This research chemically characterises 173 different NMVOCs (non-methane volatile organic...
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