Preprints
https://doi.org/10.5194/egusphere-2022-415
https://doi.org/10.5194/egusphere-2022-415
 
07 Jul 2022
07 Jul 2022
Status: this preprint is open for discussion.

The contribution of shipping to air pollution in the Mediterranean region – a multimodel evaluation: Comparison of photooxidants NO2 and O3

Lea Fink1, Matthias Karl1, Volker Matthias1, Sonia Oppo2, Richard Kranenburg3, Jeroen Kuenen3, Jana Moldanova4, Sara Jutterström4, Jukka-Pekka Jalkanen5, and Elisa Majamäki5 Lea Fink et al.
  • 1Helmholtz-Centre Hereon, Institute of Coastal Environmental Chemistry, 21502 Geesthacht, Germany
  • 2AtmoSud, Air Quality Observatory in the Provence-Alpes-Côte d’Azur region, 13006 Marseille, France
  • 3TNO, Netherlands Organization for Applied Scientific Research, 3584 CB Utrecht, The Netherlands
  • 4IVL, Swedish Environmental Research Institute, 411 33 Göteborg, Sweden
  • 5FMI, Finnish Meteorological Institute, FI-00560 Helsinki, Finland

Abstract. Shipping has a significant contribution to the emissions of air pollutants such as NOx and particulate matter (PM), and the global maritime transport volumes are projected to increase further in the future. The Mediterranean Sea contains the major route for short sea shipping within Europe and contains the main shipping route between Europe and East Asia. Thus, it is a highly frequented shipping area, and high levels of air pollutants with significant contributions from shipping emissions are observed at monitoring stations in many cities along the Mediterranean coast.

The present study is part of the EU H2020 project SCIPPER (Shipping contribution to Inland Pollution Push for the Enforcement of Regulations). Five different regional chemistry transport models (CAMx, CHIMERE, CMAQ, EMEP, LOTOS-EUROS) were used to simulate the transport, chemical transformation and fate of atmospheric pollutants in the Mediterranean Sea for 2015. Shipping emissions were calculated with STEAM version 3.3.0, and land-based emissions were taken from the CAMS-REG v2.2.1 dataset for a domain covering the Mediterranean Sea on a resolution of 12x12 km2 (or 0.1° x 0.1°). All models used their standard setup for further input. Ship contribution was calculated with the zero-out method. One run using the tagging method was performed with LOTOS-EUROS. The model outputs were compared against each other and to measured background data at monitoring stations.

The results showed differing outputs regarding the time series and pattern of model outputs but similar results with regard to the overall underestimation of NO2 and overestimation of O3. The contribution from ships to the total NO2 concentration was especially high at the main shipping routes and coastal regions (25 % to 85 %). The contribution from ships to the total O3 concentration was lowest in regions with the highest NO2 contribution (down to -20 %). A comparison of the zero-out and tagging methods has shown that the annual mean ship contribution to the total NO2 concentration is smaller (up to 75 %) and has a lower range when the tagging method is used. CAMx and CHIMERE simulated the highest ship contributions to the NO2 and O3 air concentrations. Additionally, the strongest correlation was found between CAMx and CHIMERE, which can be traced back to the usage of the same meteorological input data. The CMAQ, EMEP and LOTOS-EUROS simulated values were within one range for the NO2 and O3 air concentrations. Regarding deposition output, larger differences between the models were found when compared to air concentration. These uncertainties and deviations between models are caused by deposition mechanisms, which are unique within each model. A reliable output from models simulating ship contributions can be expected for air concentrations of NO2 and O3.

Lea Fink et al.

Status: open (until 28 Aug 2022)

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Lea Fink et al.

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Short summary
Ship contribution to air pollution in the Mediterranean Sea was simulated with five chemistry transport models. An evaluation of the results for NO2 and O3 air concentrations and dry deposition is presented. Emission data, modeled year and domain were the same. Outputs of model runs were compared to measurements from background stations. Focus was to compare model outputs concerning the concentration of regulatory pollutants and the ship contributions to total air pollution concentrations.