Identification of Potential Source Regions and Long-Range Transport Channels/Routes of Marine Pm2.5 at Remote Sites in East Asia DOI

Po-Hsuan Yen,

Chung‐Shin Yuan, Keryea Soong

et al.

Published: Jan. 1, 2023

Long-range transport (LRT) channels/routes of air masses in East Asia and their impacts on PM2.5 concentrations at three remote sites were explored. We identified six routes (A-F) classified them into main channels (i.e. East, West, South Channels) based potential sources. During the sampling periods, Green Island (Site GR) Hengchun Peninsula HC) exhibited similarities routes, with Central China, North Korean being major source regions PM2.5, particularly during Asian Northeastern Monsoons (ANMs). Dongsha DS) was influenced by both China coastal indicating continental outflow (ACO) as PM2.5. Chemical analysis revealed that soil dust, sea salts, biomass burning, ship emissions, secondary aerosols Northerly Channels West primarily while Channel dominated oceanic spray, emissions. further conducted a W-PSCF categorizing four levels (0-25%, 25-50%, 50-75%, 75-100%). Three experienced significant contributions from highest concentration range (75-100%). In contrast, 0-25% 25-50% ranges originated open seas, emissions prominent source. It suggested northern heavy industrialization urbanization have high concentrations, seas are sources low concentrations.

Language: Английский

“Air pollution from biomass burning in India” DOI Creative Commons
S. N. Tripathi, Shweta Yadav, Konika Sharma

et al.

Environmental Research Letters, Journal Year: 2024, Volume and Issue: 19(7), P. 073007 - 073007

Published: May 13, 2024

Abstract Air pollution is the most difficult challenge India facing today, and anthropogenic biomass burning (ABB) one of major least understood sources, leading to serious health climate implications by affecting air quality, visibility, atmospheric chemistry, Earth’s radiation budget biogeochemical cycling. Scientific understanding composition, chemistry regional dynamics (BB) emissions still limited, thus constraining implementation appropriate research policy interventions. The broad categories, associated complex spatio-temporal variations ABB in are discussed here. Major types that prevalent year-round all over include BB for cooking, heating purposes open waste burning. Moreover, crop residue (CRB) Indo-Gangetic plain (IGP) during pre- (April–May) post-monsoon (October–November) seasons, CRB South January–February, forest fires Central slash-and-burn agriculture Northeast March–May other dominant sources active specific months regions. Over IGP, along with episodic events stagnant meteorology result severe quality poor visibility (<∼300 m) reported daily mean PM 2.5 concentrations shooting up 15 times higher than Pollution Control Board standards. When compared wheat burning, fire counts paddy events. During winters, BB’s contribution 37% aerosol oxidative potential Delhi indicates its implications. Meta-analysis data obtained from representative source apportionment studies on 10 shows >24% Assam, Ahmedabad, Kanpur Visakhapatnam, 20%–24% Patiala Kolkata, 10%–14% Delhi. With regard , contributions Ahmedabad Agra, 15%–19% Delhi, Mumbai Kolkata reported, while 1 contributed 19%–24% Kanpur, Assam <10% Observed composition call region-specific solutions through airshed-based management.

Language: Английский

Citations

13

Driving factors of aerosol acidity: a new hierarchical quantitative analysis framework and its application in Changzhou, China DOI Creative Commons
Xiaolin Duan, Guangjie Zheng, Chuchu Chen

et al.

Atmospheric chemistry and physics, Journal Year: 2025, Volume and Issue: 25(7), P. 3919 - 3928

Published: April 8, 2025

Abstract. Aerosol acidity (or pH) plays a crucial role in atmospheric chemistry, influencing the interaction of air pollutants with ecosystems and climate. pH shows large temporal variations, while driving factors chemical profiles versus meteorological conditions are not fully understood due to their intrinsic complexity. Here, we propose new framework quantify factor importance, which incorporated an interpretive structural modeling (ISM) approach time series analysis. In particular, hierarchical relationship is established based on multiphase buffer theory ISM. A long-term (2018–2023) observation dataset Changzhou, China, analyzed this framework. We found variation dominated by seasonal random trend varies little despite emission changes. This overall effect decreasing PM2.5, increasing temperature increased alkali-to-acid ratios. Temperature controlling through effective acid dissociation constant Ka∗, non-ideality cni gas–particle partitioning. Random variations aerosol water contents Ka∗ cni. provides quantitative understanding at different levels, important acidity-related process studies policy-making.

Language: Английский

Citations

0

Ambient Measurements of Daytime Decay Rates of Levoglucosan, Mannosan, and Galactosan DOI Creative Commons

Qiongqiong Wang,

Shan Wang, Hanzhe Chen

et al.

Journal of Geophysical Research Atmospheres, Journal Year: 2025, Volume and Issue: 130(8)

Published: April 11, 2025

Abstract Quantifying atmospheric degradation of levoglucosan, a highly specific molecular marker for biomass burning (BB) aerosols, is essential in assessing impacts BB on air quality and climate. However, the stability levoglucosan atmosphere has only been evaluated through laboratory experiments or model simulations. Here, we investigated its two co‐emitting isomers, mannosan galactosan, utilizing bihourly measurement data at suburban site Hong Kong over period 4 months. The concentrations three saccharides, upon normalization by BB‐derived potassium, displayed distinct consistent depletion during daytime hours from 08:00 to 16:00, which follows an exponential decay pattern. We calculated individual rate constants saccharides their day‐by‐day kinetics. rates galactosan were 34% 40% higher than that levoglucosan. estimated lifetime was 13 ± 7 hr, ranging 3 46 hr under condition temperature 22 5°C, relative humidity 55 14%. This work provides first kinetic derived real ambient measurements. They are valuable refining predictions concerning aerosol local, regional, global scales.

Language: Английский

Citations

0

Chemical Characteristics, Source Apportionment, and Potential Impacts of PM2.5 Emitted from Ship Exhausts at an Asian Industrial Seaport on Urban Air Quality DOI
Yu-Lun Tseng, Chung‐Shin Yuan,

Kuo-Cheng Lo

et al.

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: April 22, 2025

The chemical characteristics, spatiotemporal variation, and source apportionment of PM2.5 emitted from ship exhausts in Kaohsiung Harbor its impact on Metro are investigated. highest concentrations were observed winter, followed by fall, spring, summer, primarily driven poor dispersion conditions during the Northeastern Monsoon. Chemical analysis revealed that is dominated water-soluble ions (WSIs), particularly secondary inorganic aerosols (SIAs). Crustal elements such as Mg, Al, Ca dominate metallic content PM2.5, while elevated V/Ni ratios highlighted contribution emissions, summer. Ship emissions including main auxiliary engines played a crucial role levels. Main contributed 2.9–5.3% Kaohsiung, shorter navigation periods, whereas 3.8–8.3% longer berthing periods. disparity between engine contributions reflects their operational differences, with producing sustained exacerbate urban air quality impacts. was closely correlated harbor indicating strong port-urban interactions. Higher SO42− areas linked to industrial mobile sources influenced PM2.5. Secondary organic (SOAs) long-range transport local photochemical reactions further contribute worsened high atmospheric stability low mixing layer heights. Sea breezes harbor-originated toward inland, summer amplifying maritime through solar radiation thermal convection, leading intensified degradation.

Language: Английский

Citations

0

An Interpolation and Prediction Algorithm for XCO2 Based on Multi-Source Time Series Data DOI Creative Commons
Kai Hu, Qi Zhang, Xinyan Feng

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(11), P. 1907 - 1907

Published: May 25, 2024

Carbon satellites are an important observation tool for analyzing ground carbon emission. From the perspective of Earth’s scale, spatiotemporal sparse characteristics raw data observed from satellite requires accurate interpolation data, and based on only this work, people predict future emission trends formulate appropriate management conservation strategies. The existing research work has not fully considered close correlation between seasons, as well accumulated over a long time scale. In paper, firstly, by employing extreme random forests auxiliary we reconstruct daily average CO2 dataset at resolution 0.25°, achieve validated determination coefficient 0.92. Secondly, introducing technologies such Time Convolutional Networks (TCN), Channel Attention Mechanism (CAM), Long Short-Term Memory networks (LSTM), conduct atmospheric concentration predictions. When conducting predictive analysis Yangtze River Delta region, train model using quarterly 2016 to 2020; in summer is 0.94, winter it 0.91. These experimental indicate that compared other algorithms, algorithm significantly better performance.

Language: Английский

Citations

2

Impact of biomass burning on PM2.5 and organic aerosol: Quantitative estimates and spatial distributions in four Northeast Asian sites DOI
Jayant Nirmalkar, Ji Yi Lee,

Kwangyul Lee

et al.

Atmospheric Environment, Journal Year: 2024, Volume and Issue: 333, P. 120635 - 120635

Published: June 5, 2024

Language: Английский

Citations

2

Source apportionment of fine particulate matter in middle Indo-Gangetic Plain by coupled radiocarbon –molecular organic tracer method DOI

Ningombam Linthoingambi Devi,

Amrendra Kumar,

Ishwar Chandra Yadav

et al.

Atmospheric Pollution Research, Journal Year: 2024, Volume and Issue: 15(10), P. 102231 - 102231

Published: June 20, 2024

Language: Английский

Citations

2

New insights into the influences of firework combustion on molecular composition and formation of sulfur- and halogen-containing organic compounds DOI
Caiqing Yan, Haibiao Chen,

Fei Xu

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 932, P. 172929 - 172929

Published: May 3, 2024

Language: Английский

Citations

1

Unveiling the organic chemical composition and sources of organic carbon in PM2.5 at an urban site in Greater Cairo (Egypt): A comprehensive analysis of primary and secondary compounds DOI

Eliane Farah,

Marc Fadel,

Gihane Mansour

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 263, P. 120118 - 120118

Published: Oct. 9, 2024

Language: Английский

Citations

1

“Trace element composition of fine and coarse particles at a background mountain station in Eastern Mediterranean: Assessment aerosol components and their source regions DOI

Sena Uzunpınar,

İlker Balcılar, İpek İmamoğlu

et al.

Atmospheric Environment, Journal Year: 2023, Volume and Issue: 307, P. 119847 - 119847

Published: May 17, 2023

Language: Английский

Citations

2