Organic and Elemental Carbon in the Urban Background in an Eastern Mediterranean City DOI Creative Commons
Tareq Hussein, Xinyang Li, Zaid Bakri

et al.

Atmosphere, Journal Year: 2022, Volume and Issue: 13(2), P. 197 - 197

Published: Jan. 26, 2022

The Mediterranean region is an important area for air pollution as it the crossroads between three continents; therefore, concentrations of atmospheric aerosol particles are influenced by emissions from Africa, Asia, and Europe. Here we concentrate on eleven-month time series ambient concentration organic carbon (OC) elemental (EC) May 2018–March 2019 in Amman, Jordan. Such a dataset unique results show that OC EC annual mean PM2.5 samples were 5.9 ± 2.8 µg m–3 1.7 1.1 m–3, respectively. It was found majority within fine particle fraction (PM2.5). During sand dust storm (SDS) episodes higher than means; values during these periods about 9.6 3.5 2.5 1.2 samples. Based this, SDS identified to be responsible increased carbonaceous content well PM10 content, which may have direct implications human health. This study encourages us perform more extensive measurements longer period include advanced chemical physical characterization urban aerosols atmosphere can representative other areas region.

Language: Английский

Airborne particulate matter from biomass burning in Thailand: Recent issues, challenges, and options DOI Creative Commons

Phuchiwan Suriyawong,

Santi Chuetor,

Hisam Samae

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 9(3), P. e14261 - e14261

Published: March 1, 2023

Many of the current atmospheric environmental problems facing Thailand are linked to air pollution that is largely derived from biomass burning. Different parts have distinctive sources emissions affect quality. The main contributors particulate matter (PM), especially PM2.5 fraction in Thailand, were highlighted a recent study PM This review divided into six sections. Section one an introduction burning Thailand. two covers issues related for each four regions including Northern, Northeastern, Central, and Southern In northern forest fires crop residues contributed quality past decade. northeast region mainly affected by agricultural residues. However, contributor Bangkok Metropolitan Region motor vehicles impact agoindustries, combustion, possible residue primary sources, cross-border also important. third section concerns effect on human health. Finally, perspectives, new challenges, policy recommendations made concerning improving e.g., fuel management utilization. overall conclusions point will long-term achieving blue sky over through development coherent policies sharing this knowledge with broader audience.

Language: Английский

Citations

50
Apportionment of black and brown carbon spectral absorption sources in the urban environment of Athens, Greece, during winter DOI
Dimitris G. Kaskaoutis, Georgios Grivas, Iasonas Stavroulas

et al.

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 801, P. 149739 - 149739

Published: Aug. 20, 2021

Language: Английский

Citations

70
Impacts of severe residential wood burning on atmospheric processing, water-soluble organic aerosol and light absorption, in an inland city of Southeastern Europe DOI
Dimitris G. Kaskaoutis, Georgios Grivas,

Konstantina Oikonomou

et al.

Atmospheric Environment, Journal Year: 2022, Volume and Issue: 280, P. 119139 - 119139

Published: May 2, 2022

Language: Английский

Citations

45
Contribution of brown carbon to light absorption in emissions of European residential biomass combustion appliances DOI Creative Commons
Satish Basnet, Anni Hartikainen, Aki Virkkula

et al.

Atmospheric chemistry and physics, Journal Year: 2024, Volume and Issue: 24(5), P. 3197 - 3215

Published: March 14, 2024

Abstract. Residential biomass combustion significantly contributes to light-absorbing carbonaceous aerosols in the atmosphere, impacting earth's radiative balance at regional and global levels. This study investigates contribution of brown carbon (BrC) total particulate light absorption wavelength range 370–950 nm (BrC370–950) Ångström exponents (AAE470/950) 15 different European residential appliances using a variety wood-based fuels. BrC370–950 was estimated be from 1 % 21 for wood log stoves 10 fully automatized pellet boiler. Correlations between ratio organic elemental (OC / EC) indicated that one-unit increase OC EC corresponded approximately 14 BrC370–950. Additionally, clearly influenced by fuel moisture content efficiency, while effect appliance type less prominent. AAE470/950 ranged 1.06 1.61. By examining correlation EC, an close unity found pure black (BC) particles originating combustion. supports common assumption used differentiate caused BC BrC. Moreover, diesel exhibited 1.02, with BrC contributing only 0.66 absorption, aligning employed source apportionment. These findings provide important data assess emission characteristics confirm can major contributor UV near-UV northern stove emissions relatively high ratios.

Language: Английский

Citations

11
Characterization of brown carbon absorption in different European environments through source contribution analysis DOI Creative Commons
Héctor Navarro-Barboza, Jordi Rovira, Vincenzo Obiso

et al.

Atmospheric chemistry and physics, Journal Year: 2025, Volume and Issue: 25(4), P. 2667 - 2694

Published: Feb. 28, 2025

Abstract. Brown carbon (BrC) is a fraction of organic aerosol (OA) that absorbs radiation in the ultraviolet and short visible wavelengths. Its contribution to radiative forcing uncertain due limited knowledge its imaginary refractive index (k). This study investigates variability k for OA from wildfires, residential, shipping, traffic emission sources over Europe. The Multiscale Online Nonhydrostatic Atmosphere Chemistry (MONARCH) model simulated concentrations source contributions, feeding an offline optical tool constrain values at 370 nm. was evaluated against mass chemical speciation monitors (ACSMs) filter sample measurements, as well light absorption measurements nm derived Aethalometer™ 12 sites across Results show MONARCH captures temporal environments (regional, suburban, urban background). Residential emissions are major colder months, while secondary (SOA) dominates warmer periods. Traffic minor primary contributor. Biomass coal combustion significantly influence absorption, with shipping also notable near harbors. Optimizing revealed significant influenced by environmental conditions. Derived biomass burning (0.03 0.13), residential (0.008 (0.005 0.08), 0.07) improved representation compared constant k. Introducing such source-specific constraints innovative approach enhance atmospheric models.

Language: Английский

Citations

1
Brown carbon absorption and radiative effects under intense residential wood burning conditions in Southeastern Europe: New insights into the abundance and absorptivity of methanol-soluble organic aerosols DOI
Despina Paraskevopoulou, Dimitris G. Kaskaoutis, Georgios Grivas

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 860, P. 160434 - 160434

Published: Nov. 24, 2022

Language: Английский

Citations

37
Measurements of optical properties of black and brown carbon using multi-wavelength absorption technique at Mumbai, India DOI
T.D. Rathod, Sanjay Kumar Sahu

Journal of Earth System Science, Journal Year: 2022, Volume and Issue: 131(1)

Published: Jan. 23, 2022

Language: Английский

Citations

32
Improving the quantification of fine particulates (PM2.5) concentrations in Malaysia using simplified and computationally efficient models DOI

Nurul Amalin Fatihah Kamarul Zaman,

Kasturi Devi Kanniah, Dimitris G. Kaskaoutis

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 448, P. 141559 - 141559

Published: March 7, 2024

Language: Английский

Citations

6
Evaluation of Machine Learning Models for Estimating PM2.5 Concentrations across Malaysia DOI Creative Commons

Nurul Amalin Fatihah Kamarul Zaman,

Kasturi Devi Kanniah, Dimitris G. Kaskaoutis

et al.

Applied Sciences, Journal Year: 2021, Volume and Issue: 11(16), P. 7326 - 7326

Published: Aug. 9, 2021

Southeast Asia (SEA) is a hotspot region for atmospheric pollution and haze conditions, due to extensive forest, agricultural peat fires. This study aims estimate the PM2.5 concentrations across Malaysia using machine-learning (ML) models like Random Forest (RF) Support Vector Regression (SVR), based on satellite AOD (aerosol optical depth) observations, ground measured air pollutants (NO2, SO2, CO, O3) meteorological parameters (air temperature, relative humidity, wind speed direction). The estimated two-year period (2018–2019) are evaluated against measurements performed at 65 air-quality monitoring stations located urban, industrial, suburban rural sites. varied widely between stations, with higher values (mean of 24.2 ± 21.6 µg m−3) urban/industrial lower 21.3 18.4 suburban/rural Furthermore, pronounced seasonal variability in recorded Malaysia, highest during dry season (June–September). Seven were developed predictions, i.e., separately sites, four dominant seasons (dry, wet two inter-monsoon), an overall model, which displayed accuracies order R2 = 0.46–0.76. validation analysis reveals that RF model (R2 0.53–0.76) exhibits slightly better performance than SVR, except model. first conducted estimations national scale combining aerosol retrievals ground-based pollutants, factors ML techniques. satisfactory prediction allows continuous levels remote areas absence measurement networks.

Language: Английский

Citations

37
Contribution of brown carbon to the light absorption and radiative effect of carbonaceous aerosols from biomass burning emissions in Chiang Mai, Thailand DOI Creative Commons
Ying Zhang, Yiran Peng,

Wenhuai Song

et al.

Atmospheric Environment, Journal Year: 2021, Volume and Issue: 260, P. 118544 - 118544

Published: June 10, 2021

Chiang Mai suffers from adverse haze associated with heavy biomass burning (BB) during almost every dry season (February to April). As an important source of light-absorbing carbonaceous aerosols (black carbon and brown carbon), BB can have strong radiative effects on local regional climate. However, studies characterizing the impacts climate in are quite limited. In this study, we use a global chemical transport model (GEOS-Chem) coupled rapid transfer for GCMs (RRTMG) estimate forcing (RF) Mai. Brown (BrC) is included as absorber treated individual tracer model. To our best knowledge, first study BrC RF evaluated, simulations that were assigned medium- high-absorbing kBrC (BrC imaginary refractive index) well reproduces absorption coefficient ambient Based estimations, 33–40% total aerosol at 440 nm attributed 60–67% BC season. estimated, contributes 14 ± 3% instantaneous (IRFCAs) top atmosphere (TOA) 16 IRFCAs surface. Moreover, including strengthens (reduces) surface cooling effect organic by 9 5% (9 3%), indicating warming

Language: Английский

Citations

33