Two distinct ship emission profiles for organic-sulfate source apportionment of PM in sulfur emission control areas

Abstract. Source apportionment quantitatively links pollution to its source but can be difficult to perform in areas like ports where emissions from shipping and other port-related activities are intrinsically linked. Here we present the analysis of aerosol chemical speciation monitor (ACSM) data using combined organic and sulfate ion positive matrix factorisation (PMF) during an intensive measurement campaign in Dublin Port. Two main types of ship emissions were identified by this technique: sulfate-rich (S-Ship) and organic-rich (O-Ship). The S-Ship emissions were attributed to heavy fuel oil use and are characterised by particles with standard V/Ni ratios from 2.7–3.9 and a large fraction of acidic sulfate aerosol. The O-Ship emissions were attributed to low-sulfur fuel types and were comprised mostly of organic aerosol (OA) with the V/Ni ratios ranging only from 0–2.3. O-Ship plumes occurred over 3 times more frequently than S-Ship plumes during the measurement period. A third minor ship emission factor (X-Ship) was resolved by PMF but not clearly attributable to any specific fuel type. Overall, ship plumes had PM1 concentrations in the range 4–252 µg m−3, with extreme concentrations usually lasting for 5–35 min. Despite their short duration, shipping emission plumes were frequent and contributed to at least 28 % of PM1 (i.e. 14 % O-Ship, 12 % S-Ship, and 2 % X-Ship). Moreover, hydrocarbon-like organic aerosol (HOA) and black carbon could also originate, in part, from shipping-related activities such as ferry traffic and heavy-goods vehicles, suggesting that the overall contribution of shipping activity to ambient PM1 is likely higher, upwards of 47 %.

Authors

Institutions

Publication Details

Journal
Atmospheric chemistry and physics
Published
2024-09-26
DOI
https://doi.org/10.5194/acp-24-10815-2024
Citations
8
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
3.01

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Two distinct ship emission profiles for organic-sulfate source apportionment of PM in sulfur emission control areas

Niall O’Sullivan, David C. Green, Aqeel Afzal, Anja H. Tremper et al.
8 citations
Atmospheric chemistry and physics
Atmospheric chemistry and aerosols
3.01
article

Two distinct ship emission profiles for organic-sulfate source apportionment of PM in sulfur emission control areas

Niall O’Sullivan, David C. Green, Aqeel Afzal, Anja H. Tremper, Colin D. O'Dowd, Darius Čeburnis, Srishti Jain, Stig Hellebust, Kirsten N. Fossum, John Wenger, Steigvilë Byčenkienė, Jurgita Ovadnevaitė, Chunshui Lin, Lei Lü
article en
8 citations

Abstract

Abstract. Source apportionment quantitatively links pollution to its source but can be difficult to perform in areas like ports where emissions from shipping and other port-related activities are intrinsically linked. Here we present the analysis of aerosol chemical speciation monitor (ACSM) data using combined organic and sulfate ion positive matrix factorisation (PMF) during an intensive measurement campaign in Dublin Port. Two main types of ship emissions were identified by this technique: sulfate-rich (S-Ship) and organic-rich (O-Ship). The S-Ship emissions were attributed to heavy fuel oil use and are characterised by particles with standard V/Ni ratios from 2.7–3.9 and a large fraction of acidic sulfate aerosol. The O-Ship emissions were attributed to low-sulfur fuel types and were comprised mostly of organic aerosol (OA) with the V/Ni ratios ranging only from 0–2.3. O-Ship plumes occurred over 3 times more frequently than S-Ship plumes during the measurement period. A third minor ship emission factor (X-Ship) was resolved by PMF but not clearly attributable to any specific fuel type. Overall, ship plumes had PM1 concentrations in the range 4–252 µg m−3, with extreme concentrations usually lasting for 5–35 min. Despite their short duration, shipping emission plumes were frequent and contributed to at least 28 % of PM1 (i.e. 14 % O-Ship, 12 % S-Ship, and 2 % X-Ship). Moreover, hydrocarbon-like organic aerosol (HOA) and black carbon could also originate, in part, from shipping-related activities such as ferry traffic and heavy-goods vehicles, suggesting that the overall contribution of shipping activity to ambient PM1 is likely higher, upwards of 47 %.

Atmospheric chemistry and physicsVol. 24(18)
Hong Kong Polytechnic University (HK), University of the Punjab (PK), Ollscoil na Gaillimhe – University of Galway (IE), Chinese Academy of Sciences (CN), University College Cork (IE), Center for Physical Sciences and Technology (LT), NIHR Imperial Biomedical Research Centre (GB), Institute of Earth Environment (CN), State Key Laboratory of Loess and Quaternary Geology, Imperial College London (GB)
Environmental Protection Agency
Life below water
Openalex Percentile: Top 8%
Atmospheric chemistry and aerosols
3.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.