TY - JOUR
T1 - Estimating NOx emissions of individual ships from TROPOMI NO2 plumes
AU - Riess, Christoph V.W.
AU - Boersma, Folkert
AU - Prummel, Aude
AU - van Stratum, Bart J.H.
AU - de Laat, Jos
AU - van Vliet, Jasper
PY - 2025/7/1
Y1 - 2025/7/1
N2 - Maritime transportation is a substantial contributor to anthropogenic NOx emissions and coastal air pollution. Recognizing this, the International Maritime Organization (IMO) has steadily implemented stepwise stricter emission standards for ships in recent years. However, monitoring emissions from sea-bound vessels poses inherent challenges, prompting the exploration of satellite observations as a promising solution. Here we use TROPOMI measurements of NO2 plumes together with information on ship position and identity, and atmospheric models to quantify the NOx emissions of 130 plumes from individual ships in the eastern Mediterranean Sea in 2019. Because most of the emitted NOx is in the form of NO, which is not immediately converted into detectable NO2, plumes show their NO2 maximum some 15-30 km downwind of the ship's stack. Further downwind NO2 decreases because of plume dispersion and photochemical oxidation. Background ozone and wind speed play a significant role both in detectability of the NO2 plume and the relationship between NOx emissions and observed NO2, explaining the good detection conditions in the eastern Mediterranean summertime, where ozone levels are high. Taking such effects of emissions, dispersion, entrainment, and in-plume chemistry in full account, we find emission strengths of 10-317 g (NO2) s−1. We then calculate emission factors of the detected ship plumes using AIS and ship specific data and find that newer Tier II ships have higher emission factors compared to older Tier I ships. This is especially the case when running at lower engine loads, which is the most frequently observed mode of operation in our ensemble. Additionally, at the time of detection around half of the emission factors detected for Tier II ships lie above the IMO weighted average limits. The presented method sets the stage for automated ship emission monitoring at sea, contributing to better air quality management.
AB - Maritime transportation is a substantial contributor to anthropogenic NOx emissions and coastal air pollution. Recognizing this, the International Maritime Organization (IMO) has steadily implemented stepwise stricter emission standards for ships in recent years. However, monitoring emissions from sea-bound vessels poses inherent challenges, prompting the exploration of satellite observations as a promising solution. Here we use TROPOMI measurements of NO2 plumes together with information on ship position and identity, and atmospheric models to quantify the NOx emissions of 130 plumes from individual ships in the eastern Mediterranean Sea in 2019. Because most of the emitted NOx is in the form of NO, which is not immediately converted into detectable NO2, plumes show their NO2 maximum some 15-30 km downwind of the ship's stack. Further downwind NO2 decreases because of plume dispersion and photochemical oxidation. Background ozone and wind speed play a significant role both in detectability of the NO2 plume and the relationship between NOx emissions and observed NO2, explaining the good detection conditions in the eastern Mediterranean summertime, where ozone levels are high. Taking such effects of emissions, dispersion, entrainment, and in-plume chemistry in full account, we find emission strengths of 10-317 g (NO2) s−1. We then calculate emission factors of the detected ship plumes using AIS and ship specific data and find that newer Tier II ships have higher emission factors compared to older Tier I ships. This is especially the case when running at lower engine loads, which is the most frequently observed mode of operation in our ensemble. Additionally, at the time of detection around half of the emission factors detected for Tier II ships lie above the IMO weighted average limits. The presented method sets the stage for automated ship emission monitoring at sea, contributing to better air quality management.
KW - Emission estimations
KW - MARPOL Annex VI
KW - NO
KW - Shipping
KW - TROPOMI
U2 - 10.1016/j.rse.2025.114734
DO - 10.1016/j.rse.2025.114734
M3 - Article
AN - SCOPUS:105002680269
SN - 0034-4257
VL - 324
JO - Remote Sensing of Environment
JF - Remote Sensing of Environment
M1 - 114734
ER -