Articles | Volume 15, issue 9
https://doi.org/10.5194/amt-15-2667-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-2667-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Inter-comparison of online and offline methods for measuring ambient heavy and trace elements and water-soluble inorganic ions (NO3−, SO42−, NH4+, and Cl−) in PM2.5 over a heavily polluted megacity, Delhi
Himadri Sekhar Bhowmik
Department of Civil Engineering, Indian Institute of Technology
Kanpur, Kanpur, India
Ashutosh Shukla
Department of Civil Engineering, Indian Institute of Technology
Kanpur, Kanpur, India
Vipul Lalchandani
Department of Civil Engineering, Indian Institute of Technology
Kanpur, Kanpur, India
Jay Dave
Geosciences Division, Physical Research Laboratory, Ahmedabad, India
Neeraj Rastogi
Geosciences Division, Physical Research Laboratory, Ahmedabad, India
Mayank Kumar
Department of Mechanical Engineering, Indian Institute of Technology
Delhi, New Delhi, India
Vikram Singh
Department of Chemical Engineering, Indian Institute of Technology
Delhi, New Delhi, India
Sachchida Nand Tripathi
CORRESPONDING AUTHOR
Department of Civil Engineering, Indian Institute of Technology
Kanpur, Kanpur, India
Centre for Environmental
Science and Engineering, Indian Institute of Technology Kanpur, Kanpur,
India
Related authors
No articles found.
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
Short summary
Short summary
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
Short summary
Short summary
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.
Hazel Vernier, Demilson Quintão, Bruno Biazon, Eduardo Landulfo, Giovanni Souza, V. Amanda Santos, J. S. Fabio Lopes, C. P. Alex Mendes, A. S. José da Matta, K. Pinheiro Damaris, Benoit Grosslin, P. M. P. Maria Jorge, Maria de Fátima Andrade, Neeraj Rastogi, Akhil Raj, Hongyu Liu, Mahesh Kovilakam, Suvarna Fadnavis, Frank G. Wienhold, Mathieu Colombier, D. Chris Boone, Gwenael Berthet, Nicolas Dumelie, Lilian Joly, and Jean-Paul Vernier
EGUsphere, https://doi.org/10.5194/egusphere-2025-924, https://doi.org/10.5194/egusphere-2025-924, 2025
Preprint withdrawn
Short summary
Short summary
The eruption of Hunga Tonga-Hunga Ha'apai injected large amounts of water vapor and sea salt into the stratosphere, altering traditional views of volcanic aerosols. Using balloon-borne samplers, we collected aerosol samples and found high levels of sea salt and calcium, suggesting sulfate depletion due to gypsum formation. These findings highlight the need to consider sea salt in climate models to better predict volcanic impacts on the atmosphere and climate.
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Short summary
Short summary
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°.
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
Short summary
Short summary
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.
Vaishali Jain, Nidhi Tripathi, Sachchida N. Tripathi, Mansi Gupta, Lokesh K. Sahu, Vishnu Murari, Sreenivas Gaddamidi, Ashutosh K. Shukla, and Andre S. H. Prevot
Atmos. Chem. Phys., 23, 3383–3408, https://doi.org/10.5194/acp-23-3383-2023, https://doi.org/10.5194/acp-23-3383-2023, 2023
Short summary
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.
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
Short summary
Short summary
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.
Hazel Vernier, Neeraj Rastogi, Hongyu Liu, Amit Kumar Pandit, Kris Bedka, Anil Patel, Madineni Venkat Ratnam, Buduru Suneel Kumar, Bo Zhang, Harish Gadhavi, Frank Wienhold, Gwenael Berthet, and Jean-Paul Vernier
Atmos. Chem. Phys., 22, 12675–12694, https://doi.org/10.5194/acp-22-12675-2022, https://doi.org/10.5194/acp-22-12675-2022, 2022
Short summary
Short summary
The chemical composition of the stratospheric aerosols collected aboard high-altitude balloons above the summer Asian monsoon reveals the presence of nitrate/nitrite. Using numerical simulations and satellite observations, we found that pollution as well as lightning could explain some of our observations.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Short summary
Short summary
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.
Cited articles
Bhowmik, H. S., Naresh, S., Bhattu, D., Rastogi, N., Prévôt, A. S.
H., and Tripathi, S. N.: Temporal and spatial variability of carbonaceous
species (EC; OC; WSOC and SOA) in PM2.5 aerosol over five sites of
Indo-Gangetic Plain, Atmos. Pollut. Res., 12, 375–390,
https://doi.org/10.1016/j.apr.2020.09.019, 2021.
Canagaratna, M. R., Jayne, J. T., Jimenez, J. L., Allan, J. D., Alfarra, M. R., Zhang, Q., Onasch, T. B., Drewnick, F., Coe, H., Middlebrook, A., Delia, A., Williams, L. R., Trimborn, A. M., Northway, M. J., DeCarlo, P. F., Kolb, C. E., Davidovits, P., and Worsnop, D. R.: Chemical and microphysical characterization of ambient aerosols with the aerodyne aerosol mass spectrometer, Mass Spectrom. Rev., 26, 185–222, https://doi.org//10.1002/mas.20115, 2007.
CEN: Ambient air – Standard gravimetric measurement method for the determination of the PM10 or PM2.5 mass concentration of suspended particulate matter (EN 12341:2014), European Committee for Standardization (CEN), Brussels, https://www.en-standard.eu/csn-en-12341-ambient-air-standard-gravimetric-measurement (last access: 2 May 2022), 2014.
Chen, Y., Xu, L., Humphry, T., Hettiyadura, A. P. S., Ovadnevaite, J., Huang, S., Poulain, L., Schroder, J. C., Campuzano-Jost, P., Jimenez, J. L., Herrmann, H., O’Dowd, C., Stone, E. A., and Ng, N. L.: Response of the Aerodyne Aerosol Mass Spectrometer to Inorganic Sulfates and Organosulfur Compounds: Applications in Field and Laboratory Measurements, Environ. Sci. Technol., 53, 5176–5186, https://doi.org/10.1021/acs.est.9b00884, 2019.
Chow, J. C.: Measurement methods to determine compliance with ambient air
quality standards for suspended particles, J. Air Waste Manag. Assoc.,
45, 320–382, https://doi.org/10.1080/10473289.1995.10467369, 1995.
Chow, J. C., Watson, J. G., Lowenthal, D. H., Park, K., Doraiswamy, P.,
Bowers, K., and Bode, R.: Continuous and filter-based measurements of PM2.5
nitrate and sulfate at the Fresno Supersite, Environ. Monit. Assess.,
144, 179–189, https://doi.org/10.1007/s10661-007-9987-5, 2008.
Day, D. A., Campuzano-Jost, P., Nault, B. A., Palm, B. B., Hu, W., Guo, H., Wooldridge, P. J., Cohen, R. C., Docherty, K. S., Huffman, J. A., de Sá, S. S., Martin, S. T., and Jimenez, J. L.: A systematic re-evaluation of methods for quantification of bulk particle-phase organic nitrates using real-time aerosol mass spectrometry, Atmos. Meas. Tech., 15, 459–483, https://doi.org/10.5194/amt-15-459-2022, 2022.
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.
Escrig Vidal, A., Monfort, E., Celades, I., Querol, X., Amato, F.,
Minguillón, M. C., and Hopke, P. K.: Application of optimally scaled
target factor analysis for assessing source contribution of ambient PM10, J.
Air Waste Manag. Assoc., 59, 1296–1307,
https://doi.org/10.3155/1047-3289.59.11.1296, 2009.
Furger, M., Minguillón, M. C., Yadav, V., Slowik, J. G., Hüglin, C., Fröhlich, R., Petterson, K., Baltensperger, U., and Prévôt, A. S. H.: Elemental composition of ambient aerosols measured with high temporal resolution using an online XRF spectrometer, Atmos. Meas. Tech., 10, 2061–2076, https://doi.org/10.5194/amt-10-2061-2017, 2017.
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.
Hagler, G. S. W., Baldauf, R. W., Thoma, E. D., Long, T. R., Snow, R. F.,
Kinsey, J. S., Oudejans, L., and Gullett, B. K.: Ultrafine particles near a
major roadway in Raleigh, North Carolina: Downwind attenuation and
correlation with traffic-related pollutants, Atmos. Environ., 43,
1229–1234, https://doi.org/10.1016/j.atmosenv.2008.11.024, 2009.
Hong, C., Zhang, Q., Zhang, Y., Davis, S. J., Tong, D., Zheng, Y., Liu, Z.,
Guan, D., He, K., and Schellnhuber, H. J.: Impacts of climate change on
future air quality and human health in China, Proc. Natl. Acad. Sci. U. S.
A., 116, 17193–17200, https://doi.org/10.1073/pnas.1812881116, 2019.
Hu, W., Campuzano-Jost, P., Day, D. A., Croteau, P., Canagaratna, M. R.,
Jayne, J. T., Worsnop, D. R., and Jimenez, J. L.: Evaluation of the new
capture vaporizer for aerosol mass spectrometers (AMS) through field studies
of inorganic species, Aerosol Sci. Technol., 51, 735–754,
https://doi.org/10.1080/02786826.2017.1296104, 2017.
Indresand, H., White, W. H., Trzepla, K., and Dillner, A. M.: Preparation of
sulfur reference materials that reproduce atmospheric particulate matter
sample characteristics for XRF calibration, X-Ray Spectrom., 42,
359–367, https://doi.org/10.1002/xrs.2456, 2013.
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.
Jimenez, J. L., Jayne, J. T., Shi, Q., Kolb, C. E., Worsnop, D. R.,
Yourshaw, I., Seinfeld, J. H., Flagan, R. C., Zhang, X., Smith, K. A.,
Morris, J. W., and Davidovits, P.: Ambient aerosol sampling using the
Aerodyne aerosol mass spectrometer, J. Geophys. Res.-Atmos., 108, D7,
https://doi.org/10.1029/2001jd001213, 2003.
Kuokka, S., Teinilä, K., Saarnio, K., Aurela, M., Sillanpää, M., Hillamo, R., Kerminen, V.-M., Pyy, K., Vartiainen, E., Kulmala, M., Skorokhod, A. I., Elansky, N. F., and Belikov, I. B.: Using a moving measurement platform for determining the chemical composition of atmospheric aerosols between Moscow and Vladivostok, Atmos. Chem. Phys., 7, 4793–4805, https://doi.org/10.5194/acp-7-4793-2007, 2007.
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.
Lipfert, F. W.: Filter artifacts associated with particulate measurements:
Recent evidence and effects on statistical relationships, Atmos. Environ.,
28, 3233–3249, https://doi.org/10.1016/1352-2310(94)00167-J, 1994.
Makkonen, U., Virkkula, A., Mäntykenttä, J., Hakola, H., Keronen, P., Vakkari, V., and Aalto, P. P.: Semi-continuous gas and inorganic aerosol measurements at a Finnish urban site: comparisons with filters, nitrogen in aerosol and gas phases, and aerosol acidity, Atmos. Chem. Phys., 12, 5617–5631, https://doi.org/10.5194/acp-12-5617-2012, 2012.
Malaguti, A., Mircea, M., La Torretta, T. M. G., Telloli, C., Petralia, E.,
Stracquadanio, M., and Berico, M.: Comparison of online and offline methods
for measuring fine secondary inorganic ions and carbonaceous aerosols in the
central mediterranean area, Aerosol Air Qual. Res., 15, 2641–2653,
https://doi.org/10.4209/aaqr.2015.04.0240, 2015.
Manchanda, C., Kumar, M., Singh, V., Faisal, M., Hazarika, N., Shukla, A.,
Lalchandani, V., Goel, V., Thamban, N., Ganguly, D., and Tripathi, S. N.:
Variation in chemical composition and sources of PM2.5 during the COVID-19
lockdown in Delhi, Environ. Int., 153, 106541,
https://doi.org/10.1016/j.envint.2021.106541, 2021.
Minguillón, M. C., Querol, X., Baltensperger, U., and Prévôt, A.
S. H.: Fine and coarse PM composition and sources in rural and urban sites
in Switzerland: Local or regional pollution?, Sci. Total Environ., 427–428,
191–202, https://doi.org/10.1016/j.scitotenv.2012.04.030, 2012.
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.
Nault, B. A., Campuzano-Jost, P., Day, D. A., Guo, H., Jo, D. S., Handschy, A. V., Pagonis, D., Schroder, J. C., Schueneman, M. K., Cubison, M. J., Dibb, J. E., Hodzic, A., Hu, W., Palm, B. B., and Jimenez, J. L.: Interferences with aerosol acidity quantification due to gas-phase ammonia uptake onto acidic sulfate filter samples, Atmos. Meas. Tech., 13, 6193–6213, https://doi.org/10.5194/amt-13-6193-2020, 2020.
Nicolás, J. F., Galindo, N., Yubero, E., Pastor, C., Esclapez, R., and
Crespo, J.: Aerosol inorganic ions in a semiarid region on the Southeastern
Spanish mediterranean coast, Water Air Soil Pollut., 201, 149–159,
https://doi.org/10.1007/s11270-008-9934-2, 2009.
Nie, W., Wang, T., Gao, X., Pathak, R. K., Wang, X., Gao, R., Zhang, Q.,
Yang, L., and Wang, W.: Comparison among filter-based, impactor-based and
continuous techniques for measuring atmospheric fine sulfate and nitrate,
Atmos. Environ., 44, 4396–4403, https://doi.org/10.1016/j.atmosenv.2010.07.047,
2010.
Pakkanen, T. A. and Hillamo, R. E.: Comparison of sampling artifacts and ion
balances for a Berner low-pressure impactor and a virtual impactor, Boreal
Environ. Res., 7, 129–140, 2002.
Pandolfi, M., Querol, X., Alastuey, A., Jimenez, J. L., Jorba, O., Day, D.,
Ortega, A., Cubison, M. J., Comerón, A., Sicard, M., Mohr, C.,
Prévôt, A. S. H., Minguillón, M. C., Pey, J., Baldasano, J. M.,
Burkhart, J. F., Seco, R., Peñuelas, J., Van Drooge, B. L.,
Artiñano, B., DiMarco, C., Nemitz, E., Schallhart, S., Metzger, A.,
Hansel, A., Lorente, J., Ng, S., Jayne, J., and Szidat, S.: Effects of
sources and meteorology on particulate matter in the Western Mediterranean
Basin: An overview of the DAURE campaign, J. Geophys. Res., 119,
4978–5010, https://doi.org/10.1002/2013JD021079, 2014.
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.
Panteliadis, P., Helmink, H. J. P., Koopman, P. C., Hoonhout, M., Jonge, D., and
De Visser, J. H.: PM 10 sampling inlets comparison: EPA vs EU,
12341, https://www.researchgate.net/publication/306031326_PM10_sampling_inlets_comparison_EPA_vs_EU (last access: 29 April 2022), 2012.
Park, S. S., Cho, S. Y., Jo, M. R., Gong, B. J., Park, J. S., and Lee, S. J.:
Field evaluation of a near-real time elemental monitor and identification of
element sources observed at an air monitoring supersite in Korea, Atmos.
Pollut. Res., 5, 119–128, https://doi.org/10.5094/APR.2014.015, 2014.
Patel, A., Rastogi, N., Gandhi, U., and Khatri, N.: Oxidative potential of
atmospheric PM10 at five different sites of Ahmedabad, a big city in Western
India, Environ. Pollut., 268, 115909, https://doi.org/10.1016/j.envpol.2020.115909,
2021.
Pathak, R. K. and Chan, C. K.: Inter-particle and gas-particle interactions
in sampling artifacts of PM2.5 in filter-based samplers, Atmos. Environ.,
39, 1597–1607, https://doi.org/10.1016/j.atmosenv.2004.10.018, 2005.
Peck, J., Gonzalez, L. A., Williams, L. R., Xu, W., Croteau, P. L., Timko,
M. T., Jayne, J. T., Worsnop, D. R., Miake-Lye, R. C., and Smith, K. A.:
Development of an aerosol mass spectrometer lens system for PM2.5, Aerosol
Sci. Technol., 50, 781–789, https://doi.org/10.1080/02786826.2016.1190444, 2016.
Pope, C. A., Ezzati, M., and Dockery, D. W.: Fine-Particulate Air Pollution
and Life Expectancy in the United States, N. Engl. J. Med., 360,
376–386, https://doi.org/10.1056/nejmsa0805646, 2009.
Querol, X., Pey, J., Minguillón, M. C., Pérez, N., Alastuey, A., Viana, M., Moreno, T., Bernabé, R. M., Blanco, S., Cárdenas, B., Vega, E., Sosa, G., Escalona, S., Ruiz, H., and Artíñano, B.: PM speciation and sources in Mexico during the MILAGRO-2006 Campaign, Atmos. Chem. Phys., 8, 111–128, https://doi.org/10.5194/acp-8-111-2008, 2008.
Rai, P., Furger, M., El Haddad, I., Kumar, V., Wang, L., Singh, A., Dixit,
K., Bhattu, D., Petit, J. E., Ganguly, D., Rastogi, N., Baltensperger, U.,
Tripathi, S. N., Slowik, J. G., and Prévôt, A. S. H.: Real-time
measurement and source apportionment of elements in Delhi's atmosphere, Sci.
Total Environ., 742, 140332, https://doi.org/10.1016/j.scitotenv.2020.140332, 2020.
Rai, P., Slowik, J. G., Furger, M., El Haddad, I., Visser, S., Tong, Y., Singh, A., Wehrle, G., Kumar, V., Tobler, A. K., Bhattu, D., Wang, L., Ganguly, D., Rastogi, N., Huang, R.-J., Necki, J., Cao, J., Tripathi, S. N., Baltensperger, U., and Prévôt, A. S. H.: Highly time-resolved measurements of element concentrations in PM10 and PM2.5: comparison of Delhi, Beijing, London, and Krakow, Atmos. Chem. Phys., 21, 717–730, https://doi.org/10.5194/acp-21-717-2021, 2021.
Rastogi, N. and Sarin, M. M.: Long-term characterization of ionic species in
aerosols from urban and high-altitude sites in western India: Role of
mineral dust and anthropogenic sources, Atmos. Environ., 39, 5541–5554,
https://doi.org/10.1016/j.atmosenv.2005.06.011, 2005.
Rengarajan, R., Sarin, M. M., and Sudheer, A. K.: Carbonaceous and inorganic
species in atmospheric aerosols during wintertime over urban and
high-altitude sites in North India, J. Geophys. Res.-Atmos., 112, 1–16,
https://doi.org/10.1029/2006JD008150, 2007.
Schaap, M., Spindler, G., Schulz, M., Acker, K., Maenhaut, W., Berner, A.,
Wieprecht, W., Streit, N., Müller, K., Brüggemann, E., Chi, X.,
Putaud, J. P., Hitzenberger, R., Puxbaum, H., Baltensperger, U., and Ten
Brink, H.: Artefacts in the sampling of nitrate studied in the “iNTERCOMP”
campaigns of EUROTRAC-AEROSOL, Atmos. Environ., 38, 6487–6496,
https://doi.org/10.1016/j.atmosenv.2004.08.026, 2004.
Sharma, D. and Kulshrestha, U. C.: Spatial and temporal patterns of air
pollutants in rural and urban areas of India, Environ. Pollut., 195,
276–281, https://doi.org/10.1016/j.envpol.2014.08.026, 2014.
Sharma, S. K., Mandal, T. K., Jain, S., Saraswati, Sharma, A., and Saxena,
M.: Source Apportionment of PM2.5 in Delhi, India Using PMF Model, Bull.
Environ. Contam. Toxicol., 97, 286–293, https://doi.org/10.1007/s00128-016-1836-1,
2016.
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.
Singh, A., Satish, R. V., and Rastogi, N.: Characteristics and sources of
fine organic aerosol over a big semi-arid urban city of western India using
HR-ToF-AMS, Atmos. Environ., 208, 103–112,
https://doi.org/10.1016/j.atmosenv.2019.04.009, 2019.
Singh, A., Rastogi, N., Kumar, V., Slowik, J. G., Satish, R., Lalchandani,
V., Thamban, N. M., Rai, P., Bhattu, D., Vats, P., Ganguly, D., Tripathi, S.
N., and Prévôt, A. S. H.: Sources and characteristics of
light-absorbing fine particulates over Delhi through the synergy of
real-time optical and chemical measurements, Atmos. Environ., 252, 118338,
https://doi.org/10.1016/j.atmosenv.2021.118338, 2021.
Singhai, A., Habib, G., Raman, R. S., and Gupta, T.: Chemical
characterization of PM1.0 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.
Takahama, S., Wittig, A. E., Vayenas, D. V., Davidson, C. I., and Pandis, S.
N.: Modeling the diurnal variation of nitrate during the Pittsburgh Air
Quality Study, J. Geophys. Res.-Atmos., 109, D16S06, https://doi.org/10.1029/2003JD004149,
2004.
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, 140924, https://doi.org/10.1016/j.scitotenv.2020.140924, 2020.
Tremper, A. H., Font, A., Priestman, M., Hamad, S. H., Chung, T.-C., Pribadi, A., Brown, R. J. C., Goddard, S. L., Grassineau, N., Petterson, K., Kelly, F. J., and Green, D. C.: Field and laboratory evaluation of a high time resolution x-ray fluorescence instrument for determining the elemental composition of ambient aerosols, Atmos. Meas. Tech., 11, 3541–3557, https://doi.org/10.5194/amt-11-3541-2018, 2018.
U.S. EPA (Ed.): Determination of metals in ambient particulate matter using X-Ray Fluorescence (XRF) Spectroscopy, Agency, Cincinnati, OH 45268, USA, https://fdocuments.in/document/determination-of-metals (last access: 29 April 2022) 1999.
U.S. EPA and ETV: Environmental Technology Verification Report – Cooper
Environmental Services LLC† Xact 625 Particulate Metals Monitor,
EPA/600/R-12/680, https://archive.epa.gov/nrmrl/archive-etv/web/pdf/p100fk6b.pdf, last access: September 2012.
Viana, M., Chi, X., Maenhaut, W., Cafmeyer, J., Querol, X., Alastuey, A.,
Mikuška, P., and Večeřa, Z.: Influence of sampling artefacts on
measured PM, OC, and EC levels in carbonaceous aerosols in an urban area,
Aerosol Sci. Technol., 40, 107–117, https://doi.org/10.1080/02786820500484388, 2006.
Wang, M., Aaron, C. P., Madrigano, J., Hoffman, E. A., Angelini, E., Yang,
J., Laine, A., Vetterli, T. M., Kinney, P. L., Sampson, P. D., Sheppard, L.
E., Szpiro, A. A., Adar, S. D., Kirwa, K., Smith, B., Lederer, D. J.,
Diez-Roux, A. V., Vedal, S., Kaufman, J. D., and Barr, R. G.: Association
between long-term exposure to ambient air pollution and change in
quantitatively assessed emphysema and lung function, J. Am. Med.
Assoc., 322, 546–556, https://doi.org/10.1001/jama.2019.10255, 2019.
World Health Organisation (WHO): WHO global urban ambient air pollution database (update 2018,
version 11), World Health Organization, Geneva,
https://www.who.int/airpollution/data/cities/en/ (last access: 29 April 2022), 2018.
Wu, W. S. and Wang, T.: On the performance of a semi-continuous PM2.5
sulphate and nitrate instrument under high loadings of particulate and
sulphur dioxide, Atmos. Environ., 41, 5442–5451,
https://doi.org/10.1016/j.atmosenv.2007.02.025, 2007.
Yardley, R. E., Sweeney, B. P., Butterfield, D., Quincey, P., and Fuller, G. W.: Estimation of Measurement Uncertainty in Network Data, National Pysical Laboratory, 13–36, 2007.
Zhang, D., Shi, G. Y., Iwasaka, Y., and Hu, M.: Mixture of sulfate and
nitrate in coastal atmospheric aerosols: Individual particle studies in
Qingdao (36∘04'N, 120∘21'E), China, Atmos. Environ.,
34, 2669–2679, https://doi.org/10.1016/S1352-2310(00)00078-9, 2000.
Zhang, X. and Mcmurryt, P. H.: Evaporative Losses Of Fine Particulate Nitrates During Sampling, Atmos. Environ., 26, 3305–3312, 1992.
Short summary
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.
This study presents comparisons between online and offline measurements of both refractory and...