Detection of NO2 pollution plumes from individual ships with the TROPOMI/S5P satellite sensor

Обнаружение шлейфов загрязнения NO2 от отдельных судов с помощью спутникового сенсора TROPOMI/S5P
Aristeidis K. Georgoulias, K. F. Boersma, Jasper van Vliet, Xiumei Zhang, Ronald van der A, Prodromos Zanis, Jos de Laat
2020-10-23

TROPOMI/S5Pautomated identification system (AIS)satellite sunglintship emission plumestropospheric NO2 columns
Abstract This paper presents an analysis of tropospheric NO2 column measurements from the TROPOspheric Monitoring Instrument onboard the Copernicus Sentinel 5 Precursor satellite (TROPOMI/S5P) for an oceanic area in the central Mediterranean on 2 July 2018. The day and area were selected because of the stable and cloud-free weather conditions with low wind speeds throughout most of the area, while covering one of the busiest worldwide international shipping corridors. In addition, the area was affected by sunglint, i.e. sunlight that is directly reflected by the ocean surface waves to the satellite which greatly enhances the signal-to-noise ratio of the satellite observations. The satellite measurements reveal plume-like emission structures in tropospheric NO2 columns while automated identification signal (AIS) data of ship locations reveal a total of 185 ships in the area. Combined with information about wind speed and wind direction within 3 h prior to the TROPOMI/S5P overpass, the ship tracks can almost perfectly be aligned with the plume-like tropospheric NO2 structures. In addition, information about ship length and ship speed, combined with an analysis of ship tracks and ship position, reveal that nearly all emission plume-like tropospheric NO2 structures can be attributed to the largest ships, mostly container ships and crude oil tankers. Overall, our results show for the first time ever that NO2 emission plumes from ships can be detected and attributed to individual ships using satellite measurements, while also providing strong support for using satellite sunglint measurements.
1
Combining AIS ship locations with wind information allowed ship tracks to be almost perfectly aligned with observed NO2 plume structures.
2
Nearly all detected NO2 plumes were attributed to the largest vessels, predominantly container ships and crude oil tankers, among 185 identified ships.
3
Sunglint substantially enhanced the satellite signal-to-noise ratio, supporting its use for detecting ship-related atmospheric pollution.
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TROPOMI/S5P detected plume-like tropospheric NO2 structures over a busy central Mediterranean shipping corridor under favorable clear, low-wind conditions.
5
The study demonstrates for the first time that satellite observations can detect and attribute NO2 emission plumes to individual ships.

Tropospheric NO2 emission plumes from individual ships in the central Mediterranean

Satellite detection and attribution of ship-specific NO2 plume structures, including their alignment with ship tracks and dependence on ship size and type

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2020-10-23
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Aristeidis K. Georgoulias
K. F. Boersma
Jasper van Vliet
Xiumei Zhang
Ronald van der A
Prodromos Zanis
Jos de Laat
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