Assessing the impact of ship emissions on an industrial port in Chile: Insights from data monitoring and AIS analysis

This study examines the relationship between ship traffic and ambient air pollutant concentrations in Quintero Bay, Chile, an industrial coastal area characterized by intense port activity. The analysis integrates air quality measurements from the national monitoring network (SINCA) with vessel movement data derived from the AIS, combined with advanced time–frequency analysis techniques. Unlike traditional emission inventories, which aim to quantify emissions at the source, SINCA provides real-time ambient pollutant concentrations expressed in µg/m 3 and ppb. Therefore, the objective of this study is not to directly estimate ship emissions, but to evaluate how variations in maritime activity co-vary with observed pollutant levels at air quality monitoring stations. The investigation focuses on pollutants commonly associated with shipping activities, including PM 10 and PM 2.5 , NO x , SO 2 , and CO. A detailed characterization of the vessel fleet operating in the study area was performed using both static and dynamic AIS data. This included ship type classification, estimation of main engine power based on gross-tonnage models, and calculation of engine load distributions derived from AIS-reported vessel speeds. Although these parameters allow the estimation of emission factors, the present work emphasizes identifying temporal associations between ship movements and ambient pollutant concentrations rather than quantifying emissions. Additionally, pollution roses and Conditional Probability Functions (CPF) were used to evaluate the directional origin of high-concentration episodes in relation to prevailing wind conditions. The results show that several episodes of elevated NO x , SO 2 , and PM 10 concentrations exhibit significant coherence with ship activity, particularly at daily time scales influenced by local meteorology. Among the analyzed pollutants, PM 10 displays the strongest and most recurrent association with maritime traffic, highlighting the influence of port operations on air quality in Quintero Bay.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment
Published
2026-04-27
DOI
https://doi.org/10.1177/14750902261429353
Primary Topic
Maritime Transport Emissions and Efficiency
Type
article
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article

Assessing the impact of ship emissions on an industrial port in Chile: Insights from data monitoring and AIS analysis

Luigia Mocerino, Michael Yesid Mendoza Londono, Victor Manuel Palma Contreras, Alvaro Ignacio Gonzalez Reyes et al.
Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment
Maritime Transport Emissions and Efficiency
article

Assessing the impact of ship emissions on an industrial port in Chile: Insights from data monitoring and AIS analysis

Luigia Mocerino, Michael Yesid Mendoza Londono, Victor Manuel Palma Contreras, Alvaro Ignacio Gonzalez Reyes, Manuel José Suazo Alvarez
article en

Abstract

This study examines the relationship between ship traffic and ambient air pollutant concentrations in Quintero Bay, Chile, an industrial coastal area characterized by intense port activity. The analysis integrates air quality measurements from the national monitoring network (SINCA) with vessel movement data derived from the AIS, combined with advanced time–frequency analysis techniques. Unlike traditional emission inventories, which aim to quantify emissions at the source, SINCA provides real-time ambient pollutant concentrations expressed in µg/m 3 and ppb. Therefore, the objective of this study is not to directly estimate ship emissions, but to evaluate how variations in maritime activity co-vary with observed pollutant levels at air quality monitoring stations. The investigation focuses on pollutants commonly associated with shipping activities, including PM 10 and PM 2.5 , NO x , SO 2 , and CO. A detailed characterization of the vessel fleet operating in the study area was performed using both static and dynamic AIS data. This included ship type classification, estimation of main engine power based on gross-tonnage models, and calculation of engine load distributions derived from AIS-reported vessel speeds. Although these parameters allow the estimation of emission factors, the present work emphasizes identifying temporal associations between ship movements and ambient pollutant concentrations rather than quantifying emissions. Additionally, pollution roses and Conditional Probability Functions (CPF) were used to evaluate the directional origin of high-concentration episodes in relation to prevailing wind conditions. The results show that several episodes of elevated NO x , SO 2 , and PM 10 concentrations exhibit significant coherence with ship activity, particularly at daily time scales influenced by local meteorology. Among the analyzed pollutants, PM 10 displays the strongest and most recurrent association with maritime traffic, highlighting the influence of port operations on air quality in Quintero Bay.

Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment
Austral University of Chile (CL), Center for Dynamic Research on High Latitude Marine Ecosystems (CL), Federico II University Hospital (IT), Center for Climate and Resilience Research (CL), University of Naples Federico II (IT)
Life below water
Openalex Percentile: Top 7%
Maritime Transport Emissions and Efficiency
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