CHIMBO Air Quality Modeling System: Verification and Processes Analysis DOI Creative Commons
Tony Christian Landi, Marco Paglione, Mauro Morichetti

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(11), P. 1386 - 1386

Published: Nov. 17, 2024

This study presents an evaluation of the CHIMBO modeling chain applied to Italian domain, specifically focusing on Po Valley subdomain over one-year period 2019. The comparison between simulated and observed data indicates that performance model aligns well with existing literature other state-of-the-art models. results demonstrate is particularly effective for regional-scale quantitative assessments pollutant distribution, comparable CAMS ensemble analysis key chemical species in particulate matter reveals accurately represents average concentrations organic elemental carbon, as secondary inorganic compounds (sulfate, nitrate, ammonium), at background monitoring stations flat terrain Valley, exception Aosta, a city located about 500 m asl. However, seasonal discrepancies were identified, especially during winter months, when significant underestimations several species, including predominantly sites. These are likely attributed various factors: (i) inadequate estimations primary emissions, from domestic heating; (ii) limited effectiveness formation processes under conditions characterized by low photochemical activity high humidity; (iii) excessive dilution pollutants calm wind due overestimation intensity. In conclusion, while serves robust tool mesoscale atmospheric composition investigations, limitations persist related emissions inventories meteorological parameters, which remain critical drivers processes.

Language: Английский

Indoor–Outdoor Oxidative Potential of PM2.5 in Wintertime Fairbanks, Alaska: Impact of Air Infiltration and Indoor Activities DOI Creative Commons
Yuhan Yang, Michael A. Battaglia, Ellis S. Robinson

et al.

ACS ES&T Air, Journal Year: 2024, Volume and Issue: 1(3), P. 188 - 199

Published: Feb. 14, 2024

The indoor air quality of a residential home during winter in Fairbanks, Alaska, was investigated and contrasted with outdoor levels. Twenty-four-hour average filter samples were collected from January 17 to February 25, 2022, area high PM2.5 concentrations. oxidative potential determined using the dithiothreitol-depletion assay (OPDTT). For unoccupied house, background indoor-to-outdoor (I/O) ratio mass-normalized OP (OPmDTT), measure intrinsic health-relevant properties aerosol, less than 1 (0.53 ± 0.37), implying loss aerosol toxicity as transported indoors. This may result transport volatility losses driven by large gradients temperature (average −19°C/average 21 °C) or relative humidity RH 78%/average 11%), both. Various activities, including pellet stove use, simple cooking experiments, incense burning, mixtures these conducted. experiments produced highly variable OPmDTT. emissions had lowest values, while highest. Correlations between volume-normalized OPDTT (OPvDTT), relevant exposure, mass concentration much lower compared those environments. suggests that alone can be poor indicator possible adverse effects various emissions. These findings highlight importance considering both quantity particles sources (chemical composition), health metrics for quality.

Language: Английский

Citations

4
Chemical evolution of primary and secondary biomass burning aerosols during daytime and nighttime DOI Creative Commons
Amirmehdi Yazdani, Satoshi Takahama, John K. Kodros

et al.

Atmospheric chemistry and physics, Journal Year: 2023, Volume and Issue: 23(13), P. 7461 - 7477

Published: July 10, 2023

Abstract. Primary emissions from wood and pellet stoves were aged in an atmospheric simulation chamber under daytime nighttime conditions. The aerosol was analyzed with online mass spectrometry offline Fourier transform infrared spectroscopy (FTIR). Measurements using the two techniques agreed reasonably well terms of organic (OA) concentration, OA:OC trends, concentrations biomass burning markers – lignin-like compounds anhydrosugars. Based on spectrometry, around 15 % primary (POA) underwent some form transformation during oxidation conditions after 6–10 h exposure. A lesser extent observed oxidation. decay certain semi-volatile (e.g., levoglucosan) less volatile lignin-like) POA components substantial aging, highlighting role heterogeneous reactions gas–particle partitioning. Lignin-like to degrade both conditions, whereas anhydrosugars degraded only Among marker fragments OA (bbPOA), heavy ones (higher m/z) relatively more stable aging. secondary (bbSOA) became oxidized continued aging resembled that aerosols. bbSOA formed dominated by acids. Organonitrates important product humid dry Our results underline importance changes aerosols their Heavier seldom used chemistry can be as tracers bbPOA and, combination established levoglucosan marker, provide indication

Language: Английский

Citations

7
A coupled atmospheric simulation chamber system for the production of realistic aerosols and preclinical model exposure DOI
Maria Georgopoulou,

Juan Camilo Macias Rodriguez,

Céline-Hivda Yegen

et al.

Air Quality Atmosphere & Health, Journal Year: 2024, Volume and Issue: unknown

Published: July 18, 2024

Language: Английский

Citations

1
Significant contributions of fresh and aged biomass burning organic aerosol from residential burning in a wintertime urban environment DOI
Christos Kaltsonoudis, Kalliopi Florou, John K. Kodros

et al.

Atmospheric Environment, Journal Year: 2024, Volume and Issue: unknown, P. 121018 - 121018

Published: Dec. 1, 2024

Language: Английский

Citations

0
CHIMBO Air Quality Modeling System: Verification and Processes Analysis DOI Creative Commons
Tony Christian Landi, Marco Paglione, Mauro Morichetti

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(11), P. 1386 - 1386

Published: Nov. 17, 2024

This study presents an evaluation of the CHIMBO modeling chain applied to Italian domain, specifically focusing on Po Valley subdomain over one-year period 2019. The comparison between simulated and observed data indicates that performance model aligns well with existing literature other state-of-the-art models. results demonstrate is particularly effective for regional-scale quantitative assessments pollutant distribution, comparable CAMS ensemble analysis key chemical species in particulate matter reveals accurately represents average concentrations organic elemental carbon, as secondary inorganic compounds (sulfate, nitrate, ammonium), at background monitoring stations flat terrain Valley, exception Aosta, a city located about 500 m asl. However, seasonal discrepancies were identified, especially during winter months, when significant underestimations several species, including predominantly sites. These are likely attributed various factors: (i) inadequate estimations primary emissions, from domestic heating; (ii) limited effectiveness formation processes under conditions characterized by low photochemical activity high humidity; (iii) excessive dilution pollutants calm wind due overestimation intensity. In conclusion, while serves robust tool mesoscale atmospheric composition investigations, limitations persist related emissions inventories meteorological parameters, which remain critical drivers processes.

Language: Английский

Citations

0