The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Extension of an assessment model of ship traffic exhaust emissions for particulate matter and carbon monoxide
Open accessAbstract
Abstract. A method is presented for the evaluation of the exhaust emissions of marine traffic, based on the messages provided by the Automatic Identification System (AIS), which enable the positioning of ship emissions with a high spatial resolution (typically a few tens of metres). The model also takes into account the detailed technical data of each individual vessel. The previously developed model was applicable for evaluating the emissions of NOx, SOx and CO2. This paper addresses a substantial extension of the modelling system, to allow also for the mass-based emissions of particulate matter (PM) and carbon monoxide (CO). The presented Ship Traffic Emissions Assessment Model (STEAM2) allows for the influences of accurate travel routes and ship speed, engine load, fuel sulphur content, multiengine setups, abatement methods and waves. We address in particular the modeling of the influence on the emissions of both engine load and the sulphur content of the fuel. The presented methodology can be used to evaluate the total PM emissions, and those of organic carbon, elemental carbon, ash and hydrated sulphate. We have evaluated the performance of the extended model against available experimental data on engine power, fuel consumption and the composition-resolved emissions of PM. We have also compared the annually averaged emission values with those of the corresponding EMEP inventory, As example results, the geographical distributions of the emissions of PM and CO are presented for the marine regions of the Baltic Sea surrounding the Danish Straits.
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Citations
Cites
Black carbon or brown carbon? The nature of light-absorbing carbonaceous aerosols
Andreae, M. O., & Gelencsér, A. (2006) · Atmospheric Chemistry and Physics · doi:10.5194/acp-6-3131-2006 · Cited by 2,006
Mortality from Ship Emissions: A Global Assessment
Corbett, J. J., Winebrake, J. J., Green, E. H., Kasibhatla, P., Eyring, V., & Lauer, A. (2007) · Environmental Science & Technology · doi:10.1021/es071686z · Cited by 1,083
Transport impacts on atmosphere and climate: Shipping
Eyring, V., Isaksen, I. S. A., Berntsen, T., Collins, W. J., Corbett, J. J., Endresen, O., Grainger, R. G., Moldanova, J., Schlager, H., & Stevenson, D. S. (2010) · Atmospheric Environment · doi:10.1016/j.atmosenv.2009.04.059 · Cited by 955
Jalkanen, J.-P., Brink, A., Kalli, J., Pettersson, H., Kukkonen, J., & Stipa, T. (2009) · Atmospheric Chemistry and Physics · doi:10.5194/acp-9-9209-2009 · Cited by 502
Self-citationCharacterisation of particulate matter and gaseous emissions from a large ship diesel engine
Moldanová, J., Fridell, E., Popovicheva, O., Demirdjian, B., Tishkova, V., Faccinetto, A., & Focsa, C. (2009) · Atmospheric Environment · doi:10.1016/j.atmosenv.2009.02.008 · Cited by 434
Arctic shipping emissions inventories and future scenarios
Corbett, J. J., Lack, D. A., Winebrake, J. J., Harder, S., Silberman, J. A., & Gold, M. (2010) · Atmospheric Chemistry and Physics · doi:10.5194/acp-10-9689-2010 · Cited by 270
In-use gaseous and particulate matter emissions from a modern ocean going container vessel
Agrawal, H., Malloy, Q. G. J., Welch, W. A., Wayne Miller, J., & Cocker, D. R. (2008) · Atmospheric Environment · doi:10.1016/j.atmosenv.2008.02.053 · Cited by 265
Particulate emissions from commercial shipping: Chemical, physical, and optical properties
Lack, D. A., Corbett, J. J., Onasch, T., Lerner, B., Massoli, P., Quinn, P. K., Bates, T. S., Covert, D. S., Coffman, D., Sierau, B., et al. (2009) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2008jd011300 · Cited by 220
Petzold, A., Hasselbach, J., Lauer, P., Baumann, R., Franke, K., Gurk, C., Schlager, H., & Weingartner, E. (2008) · Atmospheric Chemistry and Physics · doi:10.5194/acp-8-2387-2008 · Cited by 218
Emission Measurements from a Crude Oil Tanker at Sea
Agrawal, H., Welch, W. A., Miller, J. W., & Cocker, D. R. (2008) · Environmental Science & Technology · doi:10.1021/es703102y · Cited by 213
Cited by
Kuenen, J., Dellaert, S., Visschedijk, A., Jalkanen, J.-P., Super, I., & Denier van der Gon, H. (2022) · Earth System Science Data · doi:10.5194/essd-14-491-2022 · Cited by 312
Self-citationLocal Arctic Air Pollution: A Neglected but Serious Problem
Schmale, J., Arnold, S. R., Law, K. S., Thorp, T., Anenberg, S., Simpson, W. R., Mao, J., & Pratt, K. A. (2018) · Earth's Future · doi:10.1029/2018ef000952 · Cited by 221
“Jalkanen et al. (2012) used the STEAM2 model (Ship Traffic Emissions Assessment model, version 2) that includes individual ship data, such as position, ship speed, engine, and fuel type, to build very high temporal (e.g., 30 min) and spatial (e.g., 5 km) resolution data sets.”
MethodJonson, J. E., Jalkanen, J. P., Johansson, L., Gauss, M., & Denier van der Gon, H. A. C. (2015) · Atmospheric Chemistry and Physics · doi:10.5194/acp-15-783-2015 · Cited by 123
Self-citationInvisible ship tracks show large cloud sensitivity to aerosol
Manshausen, P., Watson-Parris, D., Christensen, M. W., Jalkanen, J.-P., & Stier, P. (2022) · Nature · doi:10.1038/s41586-022-05122-0 · Cited by 89
Self-citationMarelle, L., Thomas, J. L., Raut, J.-C., Law, K. S., Jalkanen, J.-P., Johansson, L., Roiger, A., Schlager, H., Kim, J., Reiter, A., et al. (2016) · Atmospheric Chemistry and Physics · doi:10.5194/acp-16-2359-2016 · Cited by 92
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Metadata
- Authors
- Jalkanen, J.-P., Johansson, L., Kukkonen, J., Brink, A., Kalli, J., & Stipa, T.
- Venue
- Atmospheric Chemistry and Physics
- Publisher
- Copernicus GmbH
- Published
- 2012-03-12
- Volume
- 12
- Issue
- 5
- Pages
- 2641-2659
- ISSN
- 1680-7316 (ISSN-L)
- 1680-7324
- OpenAlex
- W2160591039
- Cited by
- 406
- References
- 21
- FWCI
- 9.44
- Type
- journal article
- Language
- en
- Open access
- gold
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