Search

Your search keyword '"0000-0002-6973-522X"' showing total 4 results
Start Over Author "0000-0002-6973-522X"
4 results on '"0000-0002-6973-522X"'

1. Local incomplete combustion emissions define the PM2.5 oxidative potential in Northern India

Author

0000-0003-3597-190X, 0000-0002-6402-4680, 0009-0000-6159-6854, 0000-0002-6251-4117, 0000-0003-0051-8179, 0000-0002-0021-4813, 0000-0002-0425-5997, 0000-0002-0062-234X, 0000-0002-5764-0231, 0000-0003-3810-3972, 0000-0002-0725-7517, 0000-0003-2669-9633, 0000-0002-6582-0742, 0000-0003-1078-1296, 0000-0003-1111-0881, 0000-0002-5044-8386, 0000-0003-3307-2548, 0000-0002-5464-0391, 0000-0002-6973-522X, 0000-0001-6767-821X, 0000-0003-4532-7827, 0000-0001-5282-0156, 0000-0002-9805-3201, 0000-0001-8495-6461, 0000-0003-4846-2303, 0000-0002-9876-6383, 0000-0002-1824-6207, 0000-0003-0079-8713, 0000-0002-7720-0233, 0000-0003-1246-6396, 0000-0002-2461-7238, 0000-0002-9243-8194, Bhattu, Deepika, Tripathi, Sachchida Nand, Bhowmik, Himadri Sekhar, Moschos, Vaios, Lee, Chuan Ping, Rauber, Martin, Salazar, Gary, Abbaszade, Gülcin, Cui, Tianqu, Slowik, Jay G., Vats, Pawan, Mishra, Suneeti, Lalchandani, Vipul, Satish, Rangu, Rai, Pragati, Casotto, Roberto, Tobler, Anna, Kumar, Varun, Hao, Yufang, Qi, Lu, Khare, Peeyush, Manousakas, Manousos Ioannis, Wang, Qiyuan, Han, Yuemei, Tian, Jie, Darfeuil, Sophie, Minguillon, Mari Cruz, Hueglin, Christoph, Conil, Sébastien, Rastogi, Neeraj, Srivastava, Atul Kumar, Ganguly, Dilip, Bjelic, Sasa, Canonaco, Francesco, Schnelle-Kreis, Jürgen, Dominutti, Pamela A., Jaffrezo, Jean-Luc, Szidat, Sönke, Chen, Yang, Cao, Junji, Baltensperger, Urs, Uzu, Gaëlle, Daellenbach, Kaspar R., El Haddad, Imad, Prévôt, André S. H., 0000-0003-3597-190X, 0000-0002-6402-4680, 0009-0000-6159-6854, 0000-0002-6251-4117, 0000-0003-0051-8179, 0000-0002-0021-4813, 0000-0002-0425-5997, 0000-0002-0062-234X, 0000-0002-5764-0231, 0000-0003-3810-3972, 0000-0002-0725-7517, 0000-0003-2669-9633, 0000-0002-6582-0742, 0000-0003-1078-1296, 0000-0003-1111-0881, 0000-0002-5044-8386, 0000-0003-3307-2548, 0000-0002-5464-0391, 0000-0002-6973-522X, 0000-0001-6767-821X, 0000-0003-4532-7827, 0000-0001-5282-0156, 0000-0002-9805-3201, 0000-0001-8495-6461, 0000-0003-4846-2303, 0000-0002-9876-6383, 0000-0002-1824-6207, 0000-0003-0079-8713, 0000-0002-7720-0233, 0000-0003-1246-6396, 0000-0002-2461-7238, 0000-0002-9243-8194, Bhattu, Deepika, Tripathi, Sachchida Nand, Bhowmik, Himadri Sekhar, Moschos, Vaios, Lee, Chuan Ping, Rauber, Martin, Salazar, Gary, Abbaszade, Gülcin, Cui, Tianqu, Slowik, Jay G., Vats, Pawan, Mishra, Suneeti, Lalchandani, Vipul, Satish, Rangu, Rai, Pragati, Casotto, Roberto, Tobler, Anna, Kumar, Varun, Hao, Yufang, Qi, Lu, Khare, Peeyush, Manousakas, Manousos Ioannis, Wang, Qiyuan, Han, Yuemei, Tian, Jie, Darfeuil, Sophie, Minguillon, Mari Cruz, Hueglin, Christoph, Conil, Sébastien, Rastogi, Neeraj, Srivastava, Atul Kumar, Ganguly, Dilip, Bjelic, Sasa, Canonaco, Francesco, Schnelle-Kreis, Jürgen, Dominutti, Pamela A., Jaffrezo, Jean-Luc, Szidat, Sönke, Chen, Yang, Cao, Junji, Baltensperger, Urs, Uzu, Gaëlle, Daellenbach, Kaspar R., El Haddad, Imad, and Prévôt, André S. H.

Abstract

The oxidative potential (OP) of particulate matter (PM) is a major driver of PM-associated health effects. In India, the emission sources defining PM-OP, and their local/regional nature, are yet to be established. Here, to address this gap we determine the geographical origin, sources of PM, and its OP at five Indo-Gangetic Plain sites inside and outside Delhi. Our findings reveal that although uniformly high PM concentrations are recorded across the entire region, local emission sources and formation processes dominate PM pollution. Specifically, ammonium chloride, and organic aerosols (OA) from traffic exhaust, residential heating, and oxidation of unsaturated vapors from fossil fuels are the dominant PM sources inside Delhi. Ammonium sulfate and nitrate, and secondary OA from biomass burning vapors, are produced outside Delhi. Nevertheless, PM-OP is overwhelmingly driven by OA from incomplete combustion of biomass and fossil fuels, including traffic. These findings suggest that addressing local inefficient combustion processes can effectively mitigate PM health exposure in northern India.

Published
2024

2. Impact of 2020 COVID-19 lockdowns on particulate air pollution across Europe

Author

European Commission, 0000-0002-9355-0807, 0000-0002-6973-522X, 0000-0002-8131-2369, 0000-0001-7161-3873, 0000-0001-8298-491X, 0000-0002-9128-7881, 0000-0001-7044-2101, 0000-0002-5453-5495, 0000-0003-2131-9021, 0000-0002-1881-9044, 0000-0002-1660-2706, 0000-0001-5572-0871, 0000-0002-4420-9442, 0000-0002-0162-0098, 0000-0003-1516-5927, 0000-0003-2265-4905, 0000-0002-8244-2018, 0000-0001-9552-3688, 0000-0001-9904-5716, 0000-0002-2908-1970, Putaud, Jean Philippe, Pisoni, Enrico, Mangold, Alexander, Hueglin, Christoph, Sciare, Jean, Pikridas, Michael, Savvides, Chrysanthos, Ondracek, Jakub, Mbengue, Saliou, Wiedensohler, Alfred, Weinhold, Kay, Merkel, Maik, Poulain, Laurent, Van Pinxteren, Dominik, Herrmann, Hartmut, Massling, Andreas, Nordstroem, Claus, Alastuey, Andrés, Reche, Cristina, Pérez, Noemí, Castillo, Sonia, Sorribas, Mar, Adame, Jose Antonio, Petaja, Tuukka, Lehtipalo, Katrianne, Niemi, Jarkko, Riffault, Véronique, De Brito, Joel F., Colette, Augustin, Favez, Olivier, Petit, Jean Eudes, Gros, Valérie, Gini, Maria I., Vratolis, Stergios, Eleftheriadis, Konstantinos, Diapouli, Evangelia, Denier Van Der Gon, Hugo, Yttri, Karl Espen, Aas, Wenche, European Commission, 0000-0002-9355-0807, 0000-0002-6973-522X, 0000-0002-8131-2369, 0000-0001-7161-3873, 0000-0001-8298-491X, 0000-0002-9128-7881, 0000-0001-7044-2101, 0000-0002-5453-5495, 0000-0003-2131-9021, 0000-0002-1881-9044, 0000-0002-1660-2706, 0000-0001-5572-0871, 0000-0002-4420-9442, 0000-0002-0162-0098, 0000-0003-1516-5927, 0000-0003-2265-4905, 0000-0002-8244-2018, 0000-0001-9552-3688, 0000-0001-9904-5716, 0000-0002-2908-1970, Putaud, Jean Philippe, Pisoni, Enrico, Mangold, Alexander, Hueglin, Christoph, Sciare, Jean, Pikridas, Michael, Savvides, Chrysanthos, Ondracek, Jakub, Mbengue, Saliou, Wiedensohler, Alfred, Weinhold, Kay, Merkel, Maik, Poulain, Laurent, Van Pinxteren, Dominik, Herrmann, Hartmut, Massling, Andreas, Nordstroem, Claus, Alastuey, Andrés, Reche, Cristina, Pérez, Noemí, Castillo, Sonia, Sorribas, Mar, Adame, Jose Antonio, Petaja, Tuukka, Lehtipalo, Katrianne, Niemi, Jarkko, Riffault, Véronique, De Brito, Joel F., Colette, Augustin, Favez, Olivier, Petit, Jean Eudes, Gros, Valérie, Gini, Maria I., Vratolis, Stergios, Eleftheriadis, Konstantinos, Diapouli, Evangelia, Denier Van Der Gon, Hugo, Yttri, Karl Espen, and Aas, Wenche

Abstract

To fight against the first wave of coronavirus disease 2019 (COVID-19) in 2020, lockdown measures were implemented in most European countries. These lockdowns had well-documented effects on human mobility. We assessed the impact of the lockdown implementation and relaxation on air pollution by comparing daily particulate matter (PM), nitrogen dioxide (NO2) and ozone (O3) concentrations, as well as particle number size distributions (PNSDs) and particle light absorption coefficient in situ measurement data, with values that would have been expected if no COVID-19 epidemic had occurred at 28 sites across Europe for the period 17 February-31 May 2020. Expected PM, NO2 and O3 concentrations were calculated from the 2020 Copernicus Atmosphere Monitoring Service (CAMS) ensemble forecasts, combined with 2019 CAMS ensemble forecasts and measurement data. On average, lockdown implementations did not lead to a decrease in PM2.5 mass concentrations at urban sites, while relaxations resulted in a +26 ± 21 % rebound. The impacts of lockdown implementation and relaxation on NO2 concentrations were more consistent (-29 ± 17 and +31 ± 30 %, respectively). The implementation of the lockdown measures also induced statistically significant increases in O3 concentrations at half of all sites (+13 % on average). An enhanced oxidising capacity of the atmosphere could have boosted the production of secondary aerosol at those places. By comparison with 2017-2019 measurement data, a significant change in the relative contributions of wood and fossil fuel burning to the concentration of black carbon during the lockdown was detected at 7 out of 14 sites. The contribution of particles smaller than 70 nm to the total number of particles significantly also changed at most of the urban sites, with a mean decrease of -7 ± 5 % coinciding with the lockdown implementation. Our study shows that the response of PM2.5 and PM10 mass concentrations to lockdown measures was not systematic at various sites

Published
2023

3. Phenomenology of ultrafine particle concentrations and size distribution across urban Europe

Author

0000-0002-3557-9353, 0000-0003-2680-5627, 0000-0002-3707-2601, 0000-0001-8319-1647, 0000-0001-7142-5362, 0000-0002-6973-522X, 0000-0001-9745-492X, 0000-0001-8844-2652, 0000-0003-2265-4905, 0000-0003-1516-5927, 0000-0002-1491-5653, 0000-0001-9430-6155, 0000-0002-8435-5575, 0000-0002-1881-9044, 0000-0002-5453-5495, Trechera, Pedro, García-Marlès, Meritxell, Liu, Xiansheng, Reche, Cristina, Pérez, Noemí, Savadkoohi, Marjan, Beddows, D.C.S., Salma, Imre, Vörösmarty, Máté, Casans, Andrea, Casquero-Vera, Juan Andrés, Hueglin, Christoph, Marchand, Nicolas, Chazeau, Benjamin, Gille, Grégory, Kalkavouras, Panayiotis, Mihalopoulos, Nikos, Ondracek, Jakub, Zikova, Nadia, Niemi, Jarkko V., Manninen, Hanna E., Green, David C., Tremper, Anja H., Norman, Michael, Vratolis, Stergios, Eleftheriadis, Konstantinos, Gómez-Moreno, Francisco J., Alonso-Blanco, Elisabeth, Gerwig, Holger, Wiedensohler, Alfred, Weinhold, Kay, Merkel, Maik, Bastian, Susanne, Petit, Jean Eudes, Favez, Olivier, Crumeyrolle, Suzanne, Ferlay, Nicolas, Martins Dos Santos, Sebastiao, Putaud, Jean-Philippe, Timonen, Hilkka, Lampilahti, Janne, Asbach, Christof, Wolf, Carmen, Kaminski, Heinz, Altug, Hicran, Hoffmann, Barbara, Rich, David Q., Pandolfi, Marco, Harrison, Roy M., Hopke, Philip K., Petäjä, Tuukka, Alastuey, Andrés, Querol, Xavier, 0000-0002-3557-9353, 0000-0003-2680-5627, 0000-0002-3707-2601, 0000-0001-8319-1647, 0000-0001-7142-5362, 0000-0002-6973-522X, 0000-0001-9745-492X, 0000-0001-8844-2652, 0000-0003-2265-4905, 0000-0003-1516-5927, 0000-0002-1491-5653, 0000-0001-9430-6155, 0000-0002-8435-5575, 0000-0002-1881-9044, 0000-0002-5453-5495, Trechera, Pedro, García-Marlès, Meritxell, Liu, Xiansheng, Reche, Cristina, Pérez, Noemí, Savadkoohi, Marjan, Beddows, D.C.S., Salma, Imre, Vörösmarty, Máté, Casans, Andrea, Casquero-Vera, Juan Andrés, Hueglin, Christoph, Marchand, Nicolas, Chazeau, Benjamin, Gille, Grégory, Kalkavouras, Panayiotis, Mihalopoulos, Nikos, Ondracek, Jakub, Zikova, Nadia, Niemi, Jarkko V., Manninen, Hanna E., Green, David C., Tremper, Anja H., Norman, Michael, Vratolis, Stergios, Eleftheriadis, Konstantinos, Gómez-Moreno, Francisco J., Alonso-Blanco, Elisabeth, Gerwig, Holger, Wiedensohler, Alfred, Weinhold, Kay, Merkel, Maik, Bastian, Susanne, Petit, Jean Eudes, Favez, Olivier, Crumeyrolle, Suzanne, Ferlay, Nicolas, Martins Dos Santos, Sebastiao, Putaud, Jean-Philippe, Timonen, Hilkka, Lampilahti, Janne, Asbach, Christof, Wolf, Carmen, Kaminski, Heinz, Altug, Hicran, Hoffmann, Barbara, Rich, David Q., Pandolfi, Marco, Harrison, Roy M., Hopke, Philip K., Petäjä, Tuukka, Alastuey, Andrés, and Querol, Xavier

Abstract

The 2017-2019 hourly particle number size distributions (PNSD) from 26 sites in Europe and 1 in the US were evaluated focusing on 16 urban background (UB) and 6 traffic (TR) sites in the framework of Research Infrastructures services reinforcing air quality monitoring capacities in European URBAN & industrial areaS (RI-URBANS) project. The main objective was to describe the phenomenology of urban ultrafine particles (UFP) in Europe with a significant air quality focus. The varying lower size detection limits made it difficult to compare PN concentrations (PNC), particularly PN10-25, from different cities. PNCs follow a TR > UB > Suburban (SUB) order. PNC and Black Carbon (BC) progressively increase from Northern Europe to Southern Europe and from Western to Eastern Europe. At the UB sites, typical traffic rush hour PNC peaks are evident, many also showing midday-morning PNC peaks anti-correlated with BC. These peaks result from increased PN10-25, suggesting significant PNC contributions from nucleation, fumigation and shipping. Site types to be identified by daily and seasonal PNC and BC patterns are: (i) PNC mainly driven by traffic emissions, with marked correlations with BC on different time scales; (ii) marked midday/morning PNC peaks and a seasonal anti-correlation with PNC/BC; (iii) both traffic peaks and midday peaks without marked seasonal patterns. Groups (ii) and (iii) included cities with high insolation. PNC, especially PN25-800, was positively correlated with BC, NO2, CO and PM for several sites. The variable correlation of PNSD with different urban pollutants demonstrates that these do not reflect the variability of UFP in urban environments. Specific monitoring of PNSD is needed if nanoparticles and their associated health impacts are to be assessed. Implementation of the CEN-ACTRIS recommendations for PNSD measurements would provide comparable measurements, and measurements of <10 nm PNC are needed for full evaluation of the health effects of this si

Published
2023

4. A High-Precision Mid-Infrared Spectrometer for Ambient HNO 3 Measurements.

Author

Sobanski N, Tuzson B, Scheidegger P, Looser H, Hüglin C, and Emmenegger L

Subjects
Air analysis, Nitrates, Lasers, Air Pollutants analysis
Abstract

Precise and accurate measurements of ambient HNO3 are crucial for understanding various atmospheric processes, but its ultra-low trace amounts and the high polarity of HNO3 have strongly hindered routine, widespread, direct measurements of HNO3 and restricted field studies to mostly short-term, localized measurement campaigns. Here, we present a custom field-deployable direct absorption laser spectrometer and demonstrate its analytical capabilities for in situ atmospheric HNO3 measurements. Detailed laboratory characterizations with a particular focus on the instrument response under representative conditions for tropospheric measurements, i.e., the humidity, spectral interference, changing HNO3 amount fractions, and air-sampling-related artifacts, revealed the key aspects of our method: (i) a good linear response (R2 > 0.98) between 0 and 25 nmol·mol−1 in both dry and humid conditions with a limit of detection of 95 pmol·mol−1; (ii) a discrepancy of 20% between the spectroscopically derived amount fractions and indirect measurements using liquid trapping and ion chromatography; (iii) a systematic spectral bias due to water vapor. The spectrometer was deployed in a three-week field measurement campaign to continuously monitor the HNO3 amount fraction in ambient air. The measured values varied between 0.1 ppb and 0.8 ppb and correlated well with the daily total nitrates measured using a filter trapping method.

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results