Articles | Volume 9, issue 23
https://doi.org/10.5194/acp-9-9209-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-9-9209-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A modelling system for the exhaust emissions of marine traffic and its application in the Baltic Sea area
J.-P. Jalkanen
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
A. Brink
Åbo Akademi, Process Chemistry Center (CMC), Tuomiokirkontori 3, 20500 Turku, Finland
J. Kalli
University of Turku, Centre for Maritime Studies, P.O. Box 181, 28101 Pori, Finland
H. Pettersson
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
J. Kukkonen
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
T. Stipa
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
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- AIS-Based Scenario Simulation for the Control and Improvement of Ship Emissions in Ports S. Kao et al. 10.3390/jmse10020129
- Shipping log data based container ship fuel efficiency modeling Q. Meng et al. 10.1016/j.trb.2015.11.007
- Data analytics for fuel consumption management in maritime transportation: Status and perspectives R. Yan et al. 10.1016/j.tre.2021.102489
- Estimating emissions from fishing vessels: a big Beidou data analytical approach K. Zhang et al. 10.3389/fmars.2024.1418366
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- Single-Vessel Plume Dispersion Simulation: Method and a Case Study Using CALPUFF in the Yantian Port Area, Shenzhen (China) S. Bai et al. 10.3390/ijerph17217831
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- Atmospheric Emissions in Ports Due to Maritime Traffic in Mexico G. Fuentes García et al. 10.3390/jmse9111186
- An AIS-based approach to calculate atmospheric emissions from the UK fishing fleet J. Coello et al. 10.1016/j.atmosenv.2015.05.011
- Health and climate impacts of ocean-going vessels in East Asia H. Liu et al. 10.1038/nclimate3083
- Comparing modelled and measured exhaust gas components from two LNG-powered ships M. Heikkilä et al. 10.1016/j.aeaoa.2024.100275
- Shipping emissions in the Iberian Peninsula and the impacts on air quality R. Nunes et al. 10.5194/acp-20-9473-2020
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- System for Identifying Ships Using High-Sulfur-Content Fuel Oil in Port Waters X. Peng et al. 10.1061/(ASCE)EE.1943-7870.0001755
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- WITHDRAWN: Assessment of COVID-19 pandemic effects on ship pollutant emissions in major international seaports J. Liu et al. 10.1016/j.envres.2021.112246
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- Significant increase of aerosol number concentrations in air masses crossing a densely trafficked sea area S. Kecorius et al. 10.1016/j.oceano.2015.08.001
- Assessment of the impact of ship emissions on air quality based on a complete annual emission inventory using AIS data for the port of Naples D. Toscano et al. 10.1016/j.oceaneng.2021.109166
- Assessment of atmospheric pollutant emissions with maritime energy strategies using bayesian simulations and time series forecasting J. Liu et al. 10.1016/j.envpol.2020.116068
- Characteristics and ship traffic source identification of air pollutants in China's largest port M. Zhao et al. 10.1016/j.atmosenv.2012.10.007
- Global assessment of shipping emissions in 2015 on a high spatial and temporal resolution L. Johansson et al. 10.1016/j.atmosenv.2017.08.042
- A multimodel evaluation of the potential impact of shipping on particle species in the Mediterranean Sea L. Fink et al. 10.5194/acp-23-10163-2023
- Air quality forecasting of along-route ship emissions in realistic meteo-marine scenarios A. Orlandi et al. 10.1016/j.oceaneng.2023.116464
- A review on carbon emissions of global shipping S. Deng & Z. Mi 10.1007/s44312-023-00001-2
- Impact of AIS Data Thinning on Ship Air Pollutant Emissions Inventories Y. Tian et al. 10.3390/atmos13071135
- Air quality and radiative impacts of Arctic shipping emissions in the summertime in northern Norway: from the local to the regional scale L. Marelle et al. 10.5194/acp-16-2359-2016
- Ship carbon dioxide emission estimation in coastal domestic emission control areas using high spatial-temporal resolution data: A China case H. Li et al. 10.1016/j.ocecoaman.2022.106419
- Investigating the Effects of Environmentally Friendly Additives on the Exhaust Gas Composition and Fuel Consumption of an Internal Combustion Engine R. Krakowski & K. Witkowski 10.3390/app14072956
- Spatial and temporal allocation of ship exhaust emissions in Australian coastal waters using AIS data: Analysis and treatment of data gaps B. Goldsworthy 10.1016/j.atmosenv.2017.05.028
- Greenhouse gas emissions from ships in ports – Case studies in four continents L. Styhre et al. 10.1016/j.trd.2017.04.033
- Decadal evolution of ship emissions in China from 2004 to 2013 by using an integrated AIS-based approach and projection to 2040 C. Li et al. 10.5194/acp-18-6075-2018
- Modeling of the Concentrations of Ultrafine Particles in the Plumes of Ships in the Vicinity of Major Harbors M. Karl et al. 10.3390/ijerph17030777
- Data-driven approach to evaluate the impact of hull roughness on main engine load of river-sea ships K. Duan et al. 10.1016/j.oceaneng.2024.119239
- A sampling method for calculating regional ship emission inventories X. Peng et al. 10.1016/j.trd.2020.102617
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- Importance of the Panama canal in the reduction of CO2 emissions from maritime transport L. Carral et al. 10.1080/15568318.2019.1632994
- Carbon footprints: Uncovering multilevel spatiotemporal changes of ship emissions during 2019–2021 in the U.S. N. Mou et al. 10.1016/j.scitotenv.2023.169395
- The contribution of ship emissions to air pollution in the North Sea regions V. Matthias et al. 10.1016/j.envpol.2010.02.013
- Emission inventory for harbour-related activities: comparison of two distinct bottom-up methodologies S. Sorte et al. 10.1007/s11869-021-00982-3
- Ubiquity of hazardous airborne substances on passenger ferries A. Targino et al. 10.1016/j.jhazmat.2021.127133
- A calculation algorithm for ship pollutant gas emissions and diffusions based on real-time meteorological conditions and its application S. He et al. 10.1016/j.oceaneng.2023.115825
- A big data approach to improving the vehicle emission inventory in China F. Deng et al. 10.1038/s41467-020-16579-w
- A near real-time carbon accounting framework for the decarbonization of maritime transport Z. Li et al. 10.1016/j.tre.2024.103724
- Ship emission inventory and its impact on the PM 2.5 air pollution in Qingdao Port, North China D. Chen et al. 10.1016/j.atmosenv.2017.07.021
- Airborne emission measurements of SO<sub>2</sub> , NO<sub>x</sub> and particles from individual ships using a sniffer technique J. Beecken et al. 10.5194/amt-7-1957-2014
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- Estimation and spatio-temporal analysis of ship exhaust emission in a port area L. Huang et al. 10.1016/j.oceaneng.2017.06.015
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- Assessing the costs and environmental benefits of IMO regulations of ship-originated SOx and NOx emissions in the Baltic Sea S. Repka et al. 10.1007/s13280-021-01500-6
- Spatial and Seasonal Dynamics of Ship Emissions over the Yangtze River Delta and East China Sea and Their Potential Environmental Influence Q. Fan et al. 10.1021/acs.est.5b03965
- A ship emission modeling system with scenario capabilities D. Schwarzkopf et al. 10.1016/j.aeaoa.2021.100132
- Underwater Noise Emissions from Ships During 2014-2020 J. Jalkanen et al. 10.2139/ssrn.3951731
- Model for Estimation of Fuel Consumption of Cruise Ships M. Simonsen et al. 10.3390/en11051059
- Shipping Remains a Globally Significant Source of Anthropogenic PN Emissions Even after 2020 Sulfur Regulation N. Kuittinen et al. 10.1021/acs.est.0c03627
- An analysis of an AMSA ship survey and comparison with the Maritime Transport Emission Model (MTEM) R. Smit 10.1016/j.aeaoa.2023.100203
- Emission performance of major ship classes: An estimation based on a new set of emission factors and realistic activity profile data A. Grigoriadis et al. 10.1088/1755-1315/899/1/012005
- Vessel weather routing subject to sulfur emission regulation S. Lee et al. 10.1016/j.tre.2023.103235
- Validation of the estimated ships' emissions through an experimental campaign in port L. Mocerino et al. 10.1016/j.oceaneng.2023.115957
- Compliance and port air quality features with respect to ship fuel switching regulation: a field observation campaign, SEISO-Bohai Y. Zhang et al. 10.5194/acp-19-4899-2019
- Calculating ships' real emissions of pollutants and greenhouse gases: Towards zero uncertainties J. Moreno-Gutiérrez & V. Durán-Grados 10.1016/j.scitotenv.2020.141471
- Particulate exposure onboard ferryboats and relationships with environmental conditions and engine maintenance P. Krecl et al. 10.1016/j.trd.2020.102602
- Ship emission estimation with high spatial-temporal resolution in the Yangtze River estuary using AIS data J. Weng et al. 10.1016/j.jclepro.2019.119297
- A review of operational, regional-scale, chemical weather forecasting models in Europe J. Kukkonen et al. 10.5194/acp-12-1-2012
- Changes in the SO2 Level and PM2.5 Components in Shanghai Driven by Implementing the Ship Emission Control Policy X. Zhang et al. 10.1021/acs.est.9b03315
- Green shipping: using AIS data to assess global emissions T. Hensel et al. 10.1007/s00550-020-00498-x
- Health Impact of Air Pollution from Shipping in the Baltic Sea: Effects of Different Spatial Resolutions in Sweden N. Mwase et al. 10.3390/ijerph17217963
- Teasing out the detail: How our understanding of marine AIS data can better inform industries, developments, and planning R. Shelmerdine 10.1016/j.marpol.2014.12.010
- Modeling chronic oil pollution from ships S. Liubartseva et al. 10.1016/j.marpolbul.2023.115450
- Quantitative impact of decarbonization options on air pollutants from different ship types A. Grigoriadis et al. 10.1016/j.trd.2024.104316
- Exploring the effectiveness of ECA policies in reducing pollutant emissions from merchant ships in Shanghai port waters K. Shi et al. 10.1016/j.marpolbul.2020.111164
- Cruise ship emissions in Norwegian waters: A geographical analysis M. Simonsen et al. 10.1016/j.jtrangeo.2019.05.014
- Port-city exhaust emission model: An application to cruise and ferry operations in Las Palmas Port M. Tichavska & B. Tovar 10.1016/j.tra.2015.05.021
- Comparison of the Impact of Ship Emissions in Northern Europe and Eastern China D. Schwarzkopf et al. 10.3390/atmos13060894
- Estimation of atmospheric emissions from maritime activity in the Veracruz port, Mexico G. Fuentes García et al. 10.1080/10962247.2021.1902421
- Impact of trajectory simplification methods on modeling carbon dioxide emissions from ships T. Balcer et al. 10.1016/j.oceaneng.2024.117905
- Modelling of ship resistance and power consumption for the global fleet: The MariTEAM model Y. Kim et al. 10.1016/j.oceaneng.2023.114758
- Research on Air Pollution Modeling and Emission Inventory Methodology: A Case Study of Shanghai Yangshan Port W. He et al. 10.1051/e3sconf/202453603005
- Analysis of the Anthropogenic and Biogenic NOx Emissions Over 2008–2017: Assessment of the Trends in the 30 Most Populated Urban Areas in Europe A. Fortems‐Cheiney et al. 10.1029/2020GL092206
- Ice and AIS: ship speed data and sea ice forecasts in the Baltic Sea U. Löptien & L. Axell 10.5194/tc-8-2409-2014
- Assigning machinery power values for estimating ship exhaust emissions: Comparison of auxiliary power schemes B. Goldsworthy & L. Goldsworthy 10.1016/j.scitotenv.2018.12.014
- Review of Top-Down Method to Determine Atmospheric Emissions in Port. Case of Study: Port of Veracruz, Mexico G. Fuentes García et al. 10.3390/jmse10010096
- Effects of the SARS-CoV-2 Pandemic on CO2 Emissions in the Port Areas of the Strait of Messina C. Marino et al. 10.3390/su15129587
- Air emissions from ships in port: Does regulation make a difference? M. Tichavska et al. 10.1016/j.tranpol.2017.03.003
- Field test of available methods to measure remotely SO<sub>x</sub> and NO<sub>x</sub> emissions from ships J. Balzani Lööv et al. 10.5194/amt-7-2597-2014
- A novel scheme for shore power data to enhance containership-at-berth emission estimation J. Wang et al. 10.1016/j.trd.2024.104353
- Monetizing shipping emission reduction: Environmental benefit analysis of domestic emission control areas policy 2.0 in China L. Meng et al. 10.1016/j.scitotenv.2024.174805
- Modelling spatial dispersion of contaminants from shipping lanes in the Baltic Sea I. Maljutenko et al. 10.1016/j.marpolbul.2021.112985
- Estimation of ship size from satellite optical image using elliptic characteristics of ship periphery J. Park et al. 10.1080/01431161.2019.1711246
- Dynamic calculation of ship exhaust emissions based on real-time AIS data L. Huang et al. 10.1016/j.trd.2020.102277
- Estimating ship emissions based on AIS data for port of Tianjin, China D. Chen et al. 10.1016/j.atmosenv.2016.08.086
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- Big data–driven carbon emission traceability list and characteristics of ships in maritime transportation—a case study of Tianjin Port P. Wang et al. 10.1007/s11356-023-27104-z
- Monitoring of compliance with fuel sulfur content regulations through unmanned aerial vehicle (UAV) measurements of ship emissions F. Zhou et al. 10.5194/amt-12-6113-2019
- Technical note: Intermittent reduction of the stratospheric ozone over northern Europe caused by a storm in the Atlantic Ocean M. Sofiev et al. 10.5194/acp-20-1839-2020
- Health risk assessment of engine exhaust emissions within Australian ports: a case study of Port of Brisbane S. Jahangiri et al. 10.1080/14660466.2019.1564427
- Impact of ship-borne nitrogen deposition on the Gulf of Finland ecosystem: an evaluation**The work presented in this study was jointly funded by the European Regional Development Fund, Central Baltic INTERREG IV A Programme within the project SNOOP and the European Union’s Seventh Framework Programme FP/2007–2011 within the projects ECOSUPPORT, grant agreement No. 217246. U. Raudsepp et al. 10.5697/oc.55-4.837
- Estimation of shipping emissions using vessel Long Range Identification and Tracking data A. Alessandrini et al. 10.1080/17445647.2017.1411842
- Perspectives on shipping emissions and their impacts on the surface ocean and lower atmosphere: An environmental-social-economic dimension Z. Shi et al. 10.1525/elementa.2023.00052
- Refinement of a model for evaluating the population exposure in an urban area J. Soares et al. 10.5194/gmd-7-1855-2014
- Improving ship energy efficiency: Models, methods, and applications R. Yan et al. 10.1016/j.apenergy.2024.123132
- Modelling of ships as a source of underwater noise J. Jalkanen et al. 10.5194/os-14-1373-2018
- Effect of Seasonal Flow Field on Inland Ship Emission Assessment: A Case Study of Ferry H. Huang et al. 10.3390/su12187484
- A data-driven study of IMO compliant fuel emissions with consideration of black carbon aerosols C. Ji & M. El-Halwagi 10.1016/j.oceaneng.2020.108241
- A ship emission diffusion model based on translation calculation and its application on Huangpu River in Shanghai S. He et al. 10.1016/j.cie.2022.108569
- Application of AIS data in service vessel activity description in the Gulf of Mexico M. Kaiser & S. Narra 10.1057/mel.2014.25
- Combined machine learning and physics-based models for estimating fuel consumption of cargo ships B. Guo et al. 10.1016/j.oceaneng.2022.111435
- Quantification of lightning-induced nitrogen oxide emissions over Europe J. Arndt et al. 10.1016/j.atmosenv.2018.12.059
- A comprehensive review on the prediction of ship energy consumption and pollution gas emissions K. Wang et al. 10.1016/j.oceaneng.2022.112826
- Estimating the effect of biofouling on ship shaft power based on sensor measurements H. Bakka et al. 10.1080/09377255.2022.2159108
- Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review Y. Yang et al. 10.1016/j.tre.2024.103426
- CO2 emissions in a global container shipping network and policy implications N. Tran & J. Lam 10.1057/s41278-022-00242-w
- The impact of marine shipping and its DECA control on air quality in the Pearl River Delta, China H. Liu et al. 10.1016/j.scitotenv.2018.01.033
- Reduction of CO 2 emissions with automatic mooring systems. The case of the port of Santander A. Ortega Piris et al. 10.1016/j.apr.2017.07.002
- Air pollution emission inventory using national high-resolution spatial parameters for the Nordic countries and analysis of PM2.5 spatial distribution for road transport and machinery and off-road sectors V. Paunu et al. 10.5194/essd-16-1453-2024
- Air quality monitoring in communities of the Canadian Arctic during the high shipping season with a focus on local and marine pollution A. Aliabadi et al. 10.5194/acp-15-2651-2015
- Shipping emissions and their impacts on air quality in China Y. Zhang et al. 10.1016/j.scitotenv.2016.12.098
- Constraints on ship NO<sub>x</sub> emissions in Europe using GEOS-Chem and OMI satellite NO<sub>2</sub> observations G. Vinken et al. 10.5194/acp-14-1353-2014
- Maritime NOx Emissions Over Chinese Seas Derived From Satellite Observations J. Ding et al. 10.1002/2017GL076788
- Measurement and Modeling of Ship-Related Ultrafine Particles and Secondary Organic Aerosols in a Mediterranean Port City M. Karl et al. 10.3390/toxics11090771
- Ship emissions of SO<sub>2</sub> and NO<sub>2</sub>: DOAS measurements from airborne platforms N. Berg et al. 10.5194/amt-5-1085-2012
- Method Study on Establishing of Ship Sewage Pollutants Discharging Inventory Based on AIS R. Chen et al. 10.1088/1755-1315/237/2/022018
- The impact of ship emissions on air quality and human health in the Gothenburg area – Part II: Scenarios for 2040 M. Ramacher et al. 10.5194/acp-20-10667-2020
- A framework for real-time monitoring of energy efficiency of marine vessels H. Chi et al. 10.1016/j.energy.2017.12.088
- Analysis of ship emission characteristics under real-world conditions in China C. Wang et al. 10.1016/j.oceaneng.2019.106615
- Costs of air pollutants from shipping: a meta-regression analysis I. Gren et al. 10.1080/01441647.2020.1723733
- Contribution of ship emissions to the concentration and deposition of air pollutants in Europe S. Aksoyoglu et al. 10.5194/acp-16-1895-2016
- Comparison of large-scale ship exhaust emissions across multiple resolutions: From annual to hourly data B. Goldsworthy et al. 10.1016/j.atmosenv.2019.116829
- Comparative analysis between different methods for calculating on-board ship's emissions and energy consumption based on operational data J. Moreno-Gutiérrez et al. 10.1016/j.scitotenv.2018.09.045
- A bibliometric analysis of scientific research trends in monitoring systems for measuring ship emissions L. Egan et al. 10.1007/s11356-023-26723-w
- Cleaner fuels for ships provide public health benefits with climate tradeoffs M. Sofiev et al. 10.1038/s41467-017-02774-9
- Methods for identifying aged ship plumes and estimating contribution to aerosol exposure downwind of shipping lanes S. Ausmeel et al. 10.5194/amt-12-4479-2019
- Impact of maritime transport emissions on coastal air quality in Europe M. Viana et al. 10.1016/j.atmosenv.2014.03.046
- Methodology to Assess the Technoeconomic Impacts of the EU Fit for 55 Legislation Package in Relation to Shipping G. Mallouppas et al. 10.3390/jmse10081006
- Sea Port SO2 Atmospheric Emissions Influence on Air Quality and Exposure at Veracruz, Mexico G. Fuentes García et al. 10.3390/atmos13121950
- Two-phase optimal solutions for ship speed and trim optimization over a voyage using voyage report data Y. Du et al. 10.1016/j.trb.2019.02.004
- Energy efficiency with the application of Virtual Arrival policy H. Jia et al. 10.1016/j.trd.2017.04.037
- Port-Related Emissions, Environmental Impacts and Their Implication on Green Traffic Policy in Shanghai Y. Zhou et al. 10.3390/su12104162
- Methodology for Predicting Maritime Traffic Ship Emissions Using Automatic Identification System Data J. Ribeiro da Silva et al. 10.3390/jmse12020320
- Policy change driven by an AIS-assisted marine emission inventory in Hong Kong and the Pearl River Delta S. Ng et al. 10.1016/j.atmosenv.2012.07.070
- Source apportionment of PM<sub>2.5</sub> in Cork Harbour, Ireland using a combination of single particle mass spectrometry and quantitative semi-continuous measurements R. Healy et al. 10.5194/acp-10-9593-2010
- How to recognize and measure the economic impacts of environmental regulation: The Sulphur Emission Control Area case A. Lähteenmäki-Uutela et al. 10.1016/j.jclepro.2017.03.224
- Governing shipping externalities: Baltic ports in the process of SOx emission reduction D. Gritsenko & J. Yliskylä-Peuralahti 10.1186/2212-9790-12-10
- A Big-Data-Based Experimental Platform for Green Shipping Monitoring and Its Teaching Application Y. Zhao et al. 10.3390/su15118674
- Impacts of the COVID-19 epidemic on merchant ship activity and pollution emissions in Shanghai port waters K. Shi & J. Weng 10.1016/j.scitotenv.2021.148198
- Estimating air emissions from ships: Meta-analysis of modelling approaches and available data sources A. Miola & B. Ciuffo 10.1016/j.atmosenv.2011.01.046
- Trajectory Data Compression Algorithm Based on Ship Navigation State and Acceleration Variation J. Gao et al. 10.3390/jmse11010216
- Atmospheric emissions of European SECA shipping: long-term projections J. Kalli et al. 10.1007/s13437-013-0050-9
- Costs and benefits of low-sulphur fuel standard for Baltic Sea shipping J. Antturi et al. 10.1016/j.jenvman.2016.09.064
- An improved method for optimizing detection bands of marine exhaust SO2 concentration in ultraviolet dual-band measurements based on signal-to-noise ratio Z. Zhang et al. 10.1016/j.apr.2022.101479
- Dynamic NOx emission factors for main engines of bulk carriers K. Duan et al. 10.1016/j.trd.2022.103290
- Analysis of emission characteristics associated with vessel activities states in port waters X. Gao et al. 10.1016/j.marpolbul.2024.116329
- Microscopic Approach to Evaluate Energy Consumption and Emissions from Ships B. Ciuffo & A. Miola 10.3141/2273-06
- Trends in Vessel Atmospheric Emissions in the Central Mediterranean over the Last 10 Years and during the COVID-19 Outbreak M. Saliba et al. 10.3390/jmse9070762
- A multi-pollutant and multi-sectorial approach to screening the consistency of emission inventories P. Thunis et al. 10.5194/gmd-15-5271-2022
- Observing network effect of shipping emissions from space: A natural experiment in the world’s busiest port S. Liu et al. 10.1093/pnasnexus/pgad391
- Assessing the effects of significant activity changes on urban-scale air quality across three European cities M. Ramacher et al. 10.1016/j.aeaoa.2024.100264
- Bayesian probabilistic forecasting for ship emissions J. Liu & O. Duru 10.1016/j.atmosenv.2020.117540
- Extension of an assessment model of ship traffic exhaust emissions for particulate matter and carbon monoxide J. Jalkanen et al. 10.5194/acp-12-2641-2012
- Underwater noise emissions from ships during 2014–2020 J. Jalkanen et al. 10.1016/j.envpol.2022.119766
- A comprehensive inventory of ship traffic exhaust emissions in the European sea areas in 2011 J. Jalkanen et al. 10.5194/acp-16-71-2016
- Environmental and Economic Evaluation of Dual-Fuel Engine Investment of a Container Ship Ç. Karatuğ et al. 10.1007/s11804-023-00381-3
- Effects of vertical ship exhaust plume distributions on urban pollutant concentration – a sensitivity study with MITRAS v2.0 and EPISODE-CityChem v1.4 R. Badeke et al. 10.5194/gmd-15-4077-2022
- Modeling emissions for three-dimensional atmospheric chemistry transport models V. Matthias et al. 10.1080/10962247.2018.1424057
- Risk assessment of bilge water discharges in two Baltic shipping lanes K. Magnusson et al. 10.1016/j.marpolbul.2017.09.035
- Establishment of Inland Ship Air Pollution Emission Inventory Based on Power Method Correction Model Z. Peng et al. 10.3390/su141811188
- Estimated health impacts from maritime transport in the Mediterranean region and benefits from the use of cleaner fuels M. Viana et al. 10.1016/j.envint.2020.105670
- Airborne nitrogen deposition to the Baltic Sea: Past trends, source allocation and future projections M. Gauss et al. 10.1016/j.atmosenv.2021.118377
- Using the Multicomponent Aerosol FORmation Model (MAFOR) to Determine Improved VOC Emission Factors in Ship Plumes L. Fink et al. 10.3390/toxics12060432
- Challenges of decarbonizing global maritime container shipping toward net-zero emissions B. Lu et al. 10.1038/s44183-023-00018-6
- Human impacts and their interactions in the Baltic Sea region M. Reckermann et al. 10.5194/esd-13-1-2022
- Emissions Assessment of Container Ships Sailing under Off-Design Conditions C. Borén et al. 10.3390/jmse11101983
- The influence of spatiality on shipping emissions, air quality and potential human exposure in the Yangtze River Delta/Shanghai, China J. Feng et al. 10.5194/acp-19-6167-2019
- Calculating a Drop in Carbon Emissions in the Strait of Gibraltar (Spain) from Domestic Shipping Traffic Caused by the COVID-19 Crisis V. Durán-Grados et al. 10.3390/su122410368
- Ship emissions around China under gradually promoted control policies from 2016 to 2019 X. Wang et al. 10.5194/acp-21-13835-2021
- Influence of Ship Emissions on Urban Air Quality: A Comprehensive Study Using Highly Time-Resolved Online Measurements and Numerical Simulation in Shanghai Z. Liu et al. 10.1021/acs.est.6b03834
- An innovative model to design extreme emission control areas (ECAs) by considering ship's evasion strategy L. Li et al. 10.1016/j.ocecoaman.2022.106289
- International maritime regulation decreases sulfur dioxide but increases nitrogen oxide emissions in the North and Baltic Sea W. Van Roy et al. 10.1038/s43247-023-01050-7
- Speed Profiles for Improvement of Maritime Emission Estimation P. Yau et al. 10.1089/ees.2011.0399
- Diffusion and Superposition of Ship Exhaust Gas in Port Area Based on Gaussian Puff Model: A Case Study on Shenzhen Port L. Gan et al. 10.3390/jmse11020330
- The impact of shipping CO2 emissions from marine traffic in Western Singapore Straits during COVID-19 Y. Ju & C. Hargreaves 10.1016/j.scitotenv.2021.148063
- Operational-based decarbonization of container ports: The case of Ningbo-Zhoushan Port C. Ezeh et al. 10.1080/15568318.2023.2197859
- A numerical approach to assess air pollution by ship engines in manoeuvring mode and fuel switch conditions P. Iodice et al. 10.1177/0958305X17734050
- An improved emission inventory method for estimating engine exhaust emissions from ships S. Jahangiri et al. 10.1016/j.serj.2018.08.005
- Shanghai Port Carbon Emission Measurement Study L. Zhang 10.54097/fbem.v2i1.154
- Decarbonization of Maritime Transport: Is There Light at the End of the Tunnel? H. Psaraftis & C. Kontovas 10.3390/su13010237
- Modelling of discharges from Baltic Sea shipping J. Jalkanen et al. 10.5194/os-17-699-2021
- Environmental cost and eco-efficiency from vessel emissions in Las Palmas Port M. Tichavska & B. Tovar 10.1016/j.tre.2015.09.002
- Framework for the environmental impact assessment of operational shipping J. Moldanová et al. 10.1007/s13280-021-01597-9
- A New Perspective at the Ship-Air-Sea-Interface: The Environmental Impacts of Exhaust Gas Scrubber Discharge S. Endres et al. 10.3389/fmars.2018.00139
- Local Standards, Behavioral Adjustments, and Welfare: Evaluating California’s Ocean-Going Vessel Fuel Rule R. Klotz & J. Berazneva 10.1086/717585
- Quantifying ship-borne emissions in Istanbul Strait with bottom-up and machine-learning approaches C. Ay et al. 10.1016/j.oceaneng.2022.111864
- Use of AIS data for the environmental characterization of world cruise ship traffic I. Vicente-Cera et al. 10.1080/15568318.2019.1575494
- The costs and benefits of sulphur reduction measures: Sulphur scrubbers versus marine gas oil L. Jiang et al. 10.1016/j.trd.2013.12.005
- Atmospheric ship emissions in ports: A review. Correlation with data of ship traffic D. Toscano & F. Murena 10.1016/j.aeaoa.2019.100050
- A genetic algorithm-based grey-box model for ship fuel consumption prediction towards sustainable shipping L. Yang et al. 10.1007/s10479-019-03183-5
- Analyzing cruise ship itineraries patterns and vessels diversity in ports of the European maritime region: A hierarchical clustering approach I. Vicente-Cera et al. 10.1016/j.jtrangeo.2020.102731
- Improving maritime traffic emission estimations on missing data with CRBMs A. Gutierrez-Torre et al. 10.1016/j.engappai.2020.103793
- The significance of incorporating unidentified vessels into AIS-based ship emission inventory Y. Zhang et al. 10.1016/j.atmosenv.2018.12.055
- Assessment of shipping emissions on four ports of Portugal R. Nunes et al. 10.1016/j.envpol.2017.08.112
266 citations as recorded by crossref.
- A comprehensive analysis of strategies for reducing GHG emissions in maritime ports R. Sun et al. 10.1016/j.marpol.2024.106455
- Model calculations of the effects of present and future emissions of air pollutants from shipping in the Baltic Sea and the North Sea J. Jonson et al. 10.5194/acp-15-783-2015
- From Monodisciplinary via Multidisciplinary to an Interdisciplinary Approach Investigating Air-Sea Interactions – a SOLAS Initiative C. Marandino et al. 10.1080/08920753.2020.1773208
- Ship exhaust emission estimation and analysis using Automatic Identification System data: The west area of Shenzhen port, China, as a case study L. Gan et al. 10.1016/j.ocecoaman.2022.106245
- Statistical trajectory-distance metric for nautical route clustering analysis using cross-track distance W. Yoo & T. Kim 10.1093/jcde/qwac024
- A novel method for ship carbon emissions prediction under the influence of emergency events Y. Feng et al. 10.1016/j.trc.2024.104749
- Analysis of the uncertainty of the AIS-based bottom-up approach for estimating ship emissions X. Chen & J. Yang 10.1016/j.marpolbul.2023.115968
- Volatility of a Ship’s Emissions in the Baltic Sea Using Modelling and Measurements in Real-World Conditions O. Kangasniemi et al. 10.3390/atmos14071175
- Effects of ship emissions on air quality in the Baltic Sea region simulated with three different chemistry transport models M. Karl et al. 10.5194/acp-19-7019-2019
- Deep collaborative learning model for port-air pollutants prediction using automatic identification system S. Sim et al. 10.1016/j.trd.2022.103431
- Shipborne nutrient dynamics and impact on the eutrophication in the Baltic Sea U. Raudsepp et al. 10.1016/j.scitotenv.2019.03.264
- Developing a new green ship approach for flue gas emission estimation of bulk carriers L. Bilgili & U. Celebi 10.1016/j.measurement.2018.02.002
- The local ship speed reduction effect on black carbon emissions measured at a remote marine station M. Heikkilä et al. 10.5194/acp-24-8927-2024
- Prediction of harbour vessel emissions based on machine learning approach Z. Chen et al. 10.1016/j.trd.2024.104214
- Projections of shipping emissions and the related impact on air pollution and human health in the Nordic region C. Geels et al. 10.5194/acp-21-12495-2021
- The impact of nitrogen and sulfur emissions from shipping on the exceedance of critical loads in the Baltic Sea region S. Jutterström et al. 10.5194/acp-21-15827-2021
- Establishment of the Sustainable Ecosystem for the Regional Shipping Industry Based on System Dynamics X. Geng et al. 10.3390/su9050742
- Ship’s response strategy to emission control areas: From the perspective of sailing pattern optimization and evasion strategy selection L. Li et al. 10.1016/j.tre.2019.101835
- Future Ship Emission Scenarios with a Focus on Ammonia Fuel D. Schwarzkopf et al. 10.3390/atmos14050879
- Shipping emission inventories in China's Bohai Bay, Yangtze River Delta, and Pearl River Delta in 2018 Z. Wan et al. 10.1016/j.marpolbul.2019.110882
- Ships going slow in reducing their NOx emissions: changes in 2005–2012 ship exhaust inferred from satellite measurements over Europe K. Boersma et al. 10.1088/1748-9326/10/7/074007
- An AIS-based high-resolution ship emission inventory and its uncertainty in Pearl River Delta region, China C. Li et al. 10.1016/j.scitotenv.2016.07.219
- High-spatiotemporal-resolution ship emission inventory of China based on AIS data in 2014 D. Chen et al. 10.1016/j.scitotenv.2017.07.051
- COVID-19 impact on maritime traffic and corresponding pollutant emissions. The case of the Port of Barcelona A. Mujal-Colilles et al. 10.1016/j.jenvman.2022.114787
- Maritime Freight Carbon Emission in the U.S. using AIS data from 2018 to 2022 C. Cheng et al. 10.1038/s41597-024-03391-0
- AIS-Based Estimation of Hydrogen Demand and Self-Sufficient Fuel Supply Systems for RoPax Ferries A. Fitz et al. 10.3390/en15103482
- Spatial-Temporal Ship Pollution Distribution Exploitation and Harbor Environmental Impact Analysis via Large-Scale AIS Data X. Chen et al. 10.3390/jmse12060960
- Urban population exposure to NO<sub><i>x</i></sub> emissions from local shipping in three Baltic Sea harbour cities – a generic approach M. Ramacher et al. 10.5194/acp-19-9153-2019
- Effects of strengthening the Baltic Sea ECA regulations J. Jonson et al. 10.5194/acp-19-13469-2019
- Estimation of exhaust emission from ocean-going vessels in Hong Kong P. Yau et al. 10.1016/j.scitotenv.2012.03.092
- Implementation of different big-leaf canopy reduction functions in the Biogenic Emission Inventory System (BEIS) and their impact on concentrations of oxidized nitrogen species in northern Europe J. Arndt et al. 10.1016/j.atmosenv.2018.07.035
- A spatially explicit data-driven approach to calculating commodity-specific shipping emissions per vessel W. Schim van der Loeff et al. 10.1016/j.jclepro.2018.09.053
- Commuter Exposure to Black Carbon, Fine Particulate Matter and Particle Number Concentration in Ferry and at the Pier in Istanbul B. Onat et al. 10.3390/atmos10080439
- Advances in air quality research – current and emerging challenges R. Sokhi et al. 10.5194/acp-22-4615-2022
- Environmental effects of Maersk Line’s global container shipping operation N. Tran & T. Tran 10.1080/16258312.2022.2159277
- Impact analysis of ECA policies on ship trajectories and emissions J. Weng et al. 10.1016/j.marpolbul.2022.113687
- Carbon footprints: Uncovering spatiotemporal dynamics of global container ship emissions during 2015–2021 H. Yu et al. 10.1016/j.marpolbul.2024.117165
- Development of exhaust emission factors for vessels: A review and meta-analysis of available data A. Grigoriadis et al. 10.1016/j.aeaoa.2021.100142
- Hierarchical Bayesian propulsion power models — A simplified example with cruise ships A. Solonen et al. 10.1016/j.oceaneng.2023.115226
- Shipping and algae emissions have a major impact on ambient air mixing ratios of non-methane hydrocarbons (NMHCs) and methanethiol on Utö Island in the Baltic Sea H. Hellén et al. 10.5194/acp-24-4717-2024
- Emission factors of SO<sub>2</sub>, NO<sub><i>x</i></sub> and particles from ships in Neva Bay from ground-based and helicopter-borne measurements and AIS-based modeling J. Beecken et al. 10.5194/acp-15-5229-2015
- Natural hazards and extreme events in the Baltic Sea region A. Rutgersson et al. 10.5194/esd-13-251-2022
- Ship emissions reduction using weather ship routing optimisation C. Borén et al. 10.1177/14750902221082901
- Ship emissions and the use of current air cleaning technology: contributions to air pollution and acidification in the Baltic Sea B. Claremar et al. 10.5194/esd-8-901-2017
- Sub-grid Variability and its Impact on Exposure in Regional Scale Air Quality and Integrated Assessment Models: Application of the uEMEP Downscaling Model B. Denby et al. 10.1016/j.atmosenv.2024.120586
- The Future Impact of Shipping Emissions on Air Quality in Europe under Climate Change M. Russo et al. 10.3390/atmos14071126
- Exploring the trends of research: a bibliometric analysis of global ship emission estimation practices K. Mohiuddin et al. 10.1007/s40722-024-00341-1
- Big maritime data for the Baltic Sea with a focus on the winter navigation system M. Lensu & F. Goerlandt 10.1016/j.marpol.2019.02.038
- Air pollutants from shipping: Costs of NOx emissions to the Baltic Sea I. Gren et al. 10.1016/j.jenvman.2021.113824
- Numerical Modeling of Air Pollutants and Greenhouse Gases Emissions in Intermodal Transport Chains M. Ramalho & T. Santos 10.3390/jmse9060679
- Parameterizing the vertical downward dispersion of ship exhaust gas in the near field R. Badeke et al. 10.5194/acp-21-5935-2021
- Impact of Disruption on Ship Emissions in Port: Case of Pandemic in Long Beach Z. He et al. 10.3390/su15097215
- The influence of the waterjet propulsion system on the ships' energy consumption and emissions inventories V. Durán-Grados et al. 10.1016/j.scitotenv.2018.02.291
- Accuracy and applicability of ship's fuel consumption prediction models: A comprehensive comparative analysis X. Luo et al. 10.1016/j.energy.2024.133187
- Mining Channel Water Depth Information From IoT-Based Big Automated Identification System Data for Safe Waterway Navigation Z. He et al. 10.1109/ACCESS.2018.2883421
- A Comprehensive Inventory of the Ship Traffic Exhaust Emissions in the Baltic Sea from 2006 to 2009 J. Jalkanen et al. 10.1007/s13280-013-0389-3
- The Study of Ship Exhaust Emission Monitoring System Based on UAV 晓. 于 10.12677/DSC.2023.121001
- The impact of ship emissions on air quality and human health in the Gothenburg area – Part 1: 2012 emissions L. Tang et al. 10.5194/acp-20-7509-2020
- Methodologies for estimating shipping emissions and energy consumption: A comparative analysis of current methods J. Moreno-Gutiérrez et al. 10.1016/j.energy.2015.04.083
- Significant contribution of inland ships to the total NOx emissions along the Yangtze River X. Zhang et al. 10.5194/acp-23-5587-2023
- Characterization of OMI tropospheric NO<sub>2</sub> over the Baltic Sea region I. Ialongo et al. 10.5194/acp-14-7795-2014
- Impact of the emissions of international sea traffic on airborne deposition to the Baltic Sea and concentrations at the coastline⁎⁎The research has received funding from the European Regional Development Fund, Central Baltic INTERREG IV A programme within the SNOOP project. M. Hongisto 10.5697/oc.56-2.349
- Environmental accounting for Arctic shipping – A framework building on ship tracking data from satellites A. Mjelde et al. 10.1016/j.marpolbul.2014.07.013
- The evolution of shipping emissions and the costs of regulation changes in the northern EU area L. Johansson et al. 10.5194/acp-13-11375-2013
- Modelling of ship engine exhaust emissions in ports and extensive coastal waters based on terrestrial AIS data – An Australian case study L. Goldsworthy & B. Goldsworthy 10.1016/j.envsoft.2014.09.009
- Reducing GHG emissions from ships in port areas H. Winnes et al. 10.1016/j.rtbm.2015.10.008
- AIS-Based Scenario Simulation for the Control and Improvement of Ship Emissions in Ports S. Kao et al. 10.3390/jmse10020129
- Shipping log data based container ship fuel efficiency modeling Q. Meng et al. 10.1016/j.trb.2015.11.007
- Data analytics for fuel consumption management in maritime transportation: Status and perspectives R. Yan et al. 10.1016/j.tre.2021.102489
- Estimating emissions from fishing vessels: a big Beidou data analytical approach K. Zhang et al. 10.3389/fmars.2024.1418366
- Evaluation of emission reduction strategies for berthing containerships: A case study of the Shekou Container Terminal Z. Wan et al. 10.1016/j.jclepro.2021.126820
- AIS in maritime research M. Svanberg et al. 10.1016/j.marpol.2019.103520
- Single-Vessel Plume Dispersion Simulation: Method and a Case Study Using CALPUFF in the Yantian Port Area, Shenzhen (China) S. Bai et al. 10.3390/ijerph17217831
- Effect of ice class to vessel fuel consumption based on real-life MRV data M. Heikkilä et al. 10.1016/j.tranpol.2024.01.014
- Estimation of Vessel Emissions Inventory in Qingdao Port Based on Big data Analysis X. Sun et al. 10.3390/sym10100452
- Atmospheric Emissions in Ports Due to Maritime Traffic in Mexico G. Fuentes García et al. 10.3390/jmse9111186
- An AIS-based approach to calculate atmospheric emissions from the UK fishing fleet J. Coello et al. 10.1016/j.atmosenv.2015.05.011
- Health and climate impacts of ocean-going vessels in East Asia H. Liu et al. 10.1038/nclimate3083
- Comparing modelled and measured exhaust gas components from two LNG-powered ships M. Heikkilä et al. 10.1016/j.aeaoa.2024.100275
- Shipping emissions in the Iberian Peninsula and the impacts on air quality R. Nunes et al. 10.5194/acp-20-9473-2020
- Estimating emissions from tourism activities M. Russo et al. 10.1016/j.atmosenv.2019.117048
- System for Identifying Ships Using High-Sulfur-Content Fuel Oil in Port Waters X. Peng et al. 10.1061/(ASCE)EE.1943-7870.0001755
- The impact of port congestion on shipping emissions in Chinese ports X. Li et al. 10.1016/j.trd.2024.104091
- Insights into the Global Characteristics of Shipping Exhaust Emissions at Berth M. Sha et al. 10.3390/jmse12091527
- Phosphorus flows on ships: Case study from the Baltic Sea M. Wilewska-Bien et al. 10.1177/1475090218761761
- The impact of the Ukraine conflict in internal and external grain transport costs G. Fernandes et al. 10.1016/j.trip.2023.100803
- WITHDRAWN: Assessment of COVID-19 pandemic effects on ship pollutant emissions in major international seaports J. Liu et al. 10.1016/j.envres.2021.112246
- Inland port vessel emissions inventory based on Ship Traffic Emission Assessment Model–Automatic Identification System Y. Zhang et al. 10.1177/1687814017712878
- Potential impact of shipping on air pollution in the Mediterranean region – a multimodel evaluation: comparison of photooxidants NO2 and O3 L. Fink et al. 10.5194/acp-23-1825-2023
- Estimating Costs and Benefits of Sulphur Content Limits in Ship Fuel J. Kalli et al. 10.1080/15568318.2013.808389
- Significant increase of aerosol number concentrations in air masses crossing a densely trafficked sea area S. Kecorius et al. 10.1016/j.oceano.2015.08.001
- Assessment of the impact of ship emissions on air quality based on a complete annual emission inventory using AIS data for the port of Naples D. Toscano et al. 10.1016/j.oceaneng.2021.109166
- Assessment of atmospheric pollutant emissions with maritime energy strategies using bayesian simulations and time series forecasting J. Liu et al. 10.1016/j.envpol.2020.116068
- Characteristics and ship traffic source identification of air pollutants in China's largest port M. Zhao et al. 10.1016/j.atmosenv.2012.10.007
- Global assessment of shipping emissions in 2015 on a high spatial and temporal resolution L. Johansson et al. 10.1016/j.atmosenv.2017.08.042
- A multimodel evaluation of the potential impact of shipping on particle species in the Mediterranean Sea L. Fink et al. 10.5194/acp-23-10163-2023
- Air quality forecasting of along-route ship emissions in realistic meteo-marine scenarios A. Orlandi et al. 10.1016/j.oceaneng.2023.116464
- A review on carbon emissions of global shipping S. Deng & Z. Mi 10.1007/s44312-023-00001-2
- Impact of AIS Data Thinning on Ship Air Pollutant Emissions Inventories Y. Tian et al. 10.3390/atmos13071135
- Air quality and radiative impacts of Arctic shipping emissions in the summertime in northern Norway: from the local to the regional scale L. Marelle et al. 10.5194/acp-16-2359-2016
- Ship carbon dioxide emission estimation in coastal domestic emission control areas using high spatial-temporal resolution data: A China case H. Li et al. 10.1016/j.ocecoaman.2022.106419
- Investigating the Effects of Environmentally Friendly Additives on the Exhaust Gas Composition and Fuel Consumption of an Internal Combustion Engine R. Krakowski & K. Witkowski 10.3390/app14072956
- Spatial and temporal allocation of ship exhaust emissions in Australian coastal waters using AIS data: Analysis and treatment of data gaps B. Goldsworthy 10.1016/j.atmosenv.2017.05.028
- Greenhouse gas emissions from ships in ports – Case studies in four continents L. Styhre et al. 10.1016/j.trd.2017.04.033
- Decadal evolution of ship emissions in China from 2004 to 2013 by using an integrated AIS-based approach and projection to 2040 C. Li et al. 10.5194/acp-18-6075-2018
- Modeling of the Concentrations of Ultrafine Particles in the Plumes of Ships in the Vicinity of Major Harbors M. Karl et al. 10.3390/ijerph17030777
- Data-driven approach to evaluate the impact of hull roughness on main engine load of river-sea ships K. Duan et al. 10.1016/j.oceaneng.2024.119239
- A sampling method for calculating regional ship emission inventories X. Peng et al. 10.1016/j.trd.2020.102617
- A comprehensive ship weather routing system using CMEMS products and A* algorithm M. Grifoll et al. 10.1016/j.oceaneng.2022.111427
- Importance of the Panama canal in the reduction of CO2 emissions from maritime transport L. Carral et al. 10.1080/15568318.2019.1632994
- Carbon footprints: Uncovering multilevel spatiotemporal changes of ship emissions during 2019–2021 in the U.S. N. Mou et al. 10.1016/j.scitotenv.2023.169395
- The contribution of ship emissions to air pollution in the North Sea regions V. Matthias et al. 10.1016/j.envpol.2010.02.013
- Emission inventory for harbour-related activities: comparison of two distinct bottom-up methodologies S. Sorte et al. 10.1007/s11869-021-00982-3
- Ubiquity of hazardous airborne substances on passenger ferries A. Targino et al. 10.1016/j.jhazmat.2021.127133
- A calculation algorithm for ship pollutant gas emissions and diffusions based on real-time meteorological conditions and its application S. He et al. 10.1016/j.oceaneng.2023.115825
- A big data approach to improving the vehicle emission inventory in China F. Deng et al. 10.1038/s41467-020-16579-w
- A near real-time carbon accounting framework for the decarbonization of maritime transport Z. Li et al. 10.1016/j.tre.2024.103724
- Ship emission inventory and its impact on the PM 2.5 air pollution in Qingdao Port, North China D. Chen et al. 10.1016/j.atmosenv.2017.07.021
- Airborne emission measurements of SO<sub>2</sub> , NO<sub>x</sub> and particles from individual ships using a sniffer technique J. Beecken et al. 10.5194/amt-7-1957-2014
- Performance evaluation of low-carbon development at key nodes in the maritime supply chain W. Chen et al. 10.1080/13675567.2024.2357234
- Estimation and spatio-temporal analysis of ship exhaust emission in a port area L. Huang et al. 10.1016/j.oceaneng.2017.06.015
- Impact of a nitrogen emission control area (NECA) on the future air quality and nitrogen deposition to seawater in the Baltic Sea region M. Karl et al. 10.5194/acp-19-1721-2019
- Ship fuel sulfur content prediction based on convolutional neural network and ultraviolet camera images K. Cao et al. 10.1016/j.envpol.2021.116501
- Assessing the costs and environmental benefits of IMO regulations of ship-originated SOx and NOx emissions in the Baltic Sea S. Repka et al. 10.1007/s13280-021-01500-6
- Spatial and Seasonal Dynamics of Ship Emissions over the Yangtze River Delta and East China Sea and Their Potential Environmental Influence Q. Fan et al. 10.1021/acs.est.5b03965
- A ship emission modeling system with scenario capabilities D. Schwarzkopf et al. 10.1016/j.aeaoa.2021.100132
- Underwater Noise Emissions from Ships During 2014-2020 J. Jalkanen et al. 10.2139/ssrn.3951731
- Model for Estimation of Fuel Consumption of Cruise Ships M. Simonsen et al. 10.3390/en11051059
- Shipping Remains a Globally Significant Source of Anthropogenic PN Emissions Even after 2020 Sulfur Regulation N. Kuittinen et al. 10.1021/acs.est.0c03627
- An analysis of an AMSA ship survey and comparison with the Maritime Transport Emission Model (MTEM) R. Smit 10.1016/j.aeaoa.2023.100203
- Emission performance of major ship classes: An estimation based on a new set of emission factors and realistic activity profile data A. Grigoriadis et al. 10.1088/1755-1315/899/1/012005
- Vessel weather routing subject to sulfur emission regulation S. Lee et al. 10.1016/j.tre.2023.103235
- Validation of the estimated ships' emissions through an experimental campaign in port L. Mocerino et al. 10.1016/j.oceaneng.2023.115957
- Compliance and port air quality features with respect to ship fuel switching regulation: a field observation campaign, SEISO-Bohai Y. Zhang et al. 10.5194/acp-19-4899-2019
- Calculating ships' real emissions of pollutants and greenhouse gases: Towards zero uncertainties J. Moreno-Gutiérrez & V. Durán-Grados 10.1016/j.scitotenv.2020.141471
- Particulate exposure onboard ferryboats and relationships with environmental conditions and engine maintenance P. Krecl et al. 10.1016/j.trd.2020.102602
- Ship emission estimation with high spatial-temporal resolution in the Yangtze River estuary using AIS data J. Weng et al. 10.1016/j.jclepro.2019.119297
- A review of operational, regional-scale, chemical weather forecasting models in Europe J. Kukkonen et al. 10.5194/acp-12-1-2012
- Changes in the SO2 Level and PM2.5 Components in Shanghai Driven by Implementing the Ship Emission Control Policy X. Zhang et al. 10.1021/acs.est.9b03315
- Green shipping: using AIS data to assess global emissions T. Hensel et al. 10.1007/s00550-020-00498-x
- Health Impact of Air Pollution from Shipping in the Baltic Sea: Effects of Different Spatial Resolutions in Sweden N. Mwase et al. 10.3390/ijerph17217963
- Teasing out the detail: How our understanding of marine AIS data can better inform industries, developments, and planning R. Shelmerdine 10.1016/j.marpol.2014.12.010
- Modeling chronic oil pollution from ships S. Liubartseva et al. 10.1016/j.marpolbul.2023.115450
- Quantitative impact of decarbonization options on air pollutants from different ship types A. Grigoriadis et al. 10.1016/j.trd.2024.104316
- Exploring the effectiveness of ECA policies in reducing pollutant emissions from merchant ships in Shanghai port waters K. Shi et al. 10.1016/j.marpolbul.2020.111164
- Cruise ship emissions in Norwegian waters: A geographical analysis M. Simonsen et al. 10.1016/j.jtrangeo.2019.05.014
- Port-city exhaust emission model: An application to cruise and ferry operations in Las Palmas Port M. Tichavska & B. Tovar 10.1016/j.tra.2015.05.021
- Comparison of the Impact of Ship Emissions in Northern Europe and Eastern China D. Schwarzkopf et al. 10.3390/atmos13060894
- Estimation of atmospheric emissions from maritime activity in the Veracruz port, Mexico G. Fuentes García et al. 10.1080/10962247.2021.1902421
- Impact of trajectory simplification methods on modeling carbon dioxide emissions from ships T. Balcer et al. 10.1016/j.oceaneng.2024.117905
- Modelling of ship resistance and power consumption for the global fleet: The MariTEAM model Y. Kim et al. 10.1016/j.oceaneng.2023.114758
- Research on Air Pollution Modeling and Emission Inventory Methodology: A Case Study of Shanghai Yangshan Port W. He et al. 10.1051/e3sconf/202453603005
- Analysis of the Anthropogenic and Biogenic NOx Emissions Over 2008–2017: Assessment of the Trends in the 30 Most Populated Urban Areas in Europe A. Fortems‐Cheiney et al. 10.1029/2020GL092206
- Ice and AIS: ship speed data and sea ice forecasts in the Baltic Sea U. Löptien & L. Axell 10.5194/tc-8-2409-2014
- Assigning machinery power values for estimating ship exhaust emissions: Comparison of auxiliary power schemes B. Goldsworthy & L. Goldsworthy 10.1016/j.scitotenv.2018.12.014
- Review of Top-Down Method to Determine Atmospheric Emissions in Port. Case of Study: Port of Veracruz, Mexico G. Fuentes García et al. 10.3390/jmse10010096
- Effects of the SARS-CoV-2 Pandemic on CO2 Emissions in the Port Areas of the Strait of Messina C. Marino et al. 10.3390/su15129587
- Air emissions from ships in port: Does regulation make a difference? M. Tichavska et al. 10.1016/j.tranpol.2017.03.003
- Field test of available methods to measure remotely SO<sub>x</sub> and NO<sub>x</sub> emissions from ships J. Balzani Lööv et al. 10.5194/amt-7-2597-2014
- A novel scheme for shore power data to enhance containership-at-berth emission estimation J. Wang et al. 10.1016/j.trd.2024.104353
- Monetizing shipping emission reduction: Environmental benefit analysis of domestic emission control areas policy 2.0 in China L. Meng et al. 10.1016/j.scitotenv.2024.174805
- Modelling spatial dispersion of contaminants from shipping lanes in the Baltic Sea I. Maljutenko et al. 10.1016/j.marpolbul.2021.112985
- Estimation of ship size from satellite optical image using elliptic characteristics of ship periphery J. Park et al. 10.1080/01431161.2019.1711246
- Dynamic calculation of ship exhaust emissions based on real-time AIS data L. Huang et al. 10.1016/j.trd.2020.102277
- Estimating ship emissions based on AIS data for port of Tianjin, China D. Chen et al. 10.1016/j.atmosenv.2016.08.086
- Measurement report: Characterization of uncertainties in fluxes and fuel sulfur content from ship emissions in the Baltic Sea J. Walden et al. 10.5194/acp-21-18175-2021
- Big data–driven carbon emission traceability list and characteristics of ships in maritime transportation—a case study of Tianjin Port P. Wang et al. 10.1007/s11356-023-27104-z
- Monitoring of compliance with fuel sulfur content regulations through unmanned aerial vehicle (UAV) measurements of ship emissions F. Zhou et al. 10.5194/amt-12-6113-2019
- Technical note: Intermittent reduction of the stratospheric ozone over northern Europe caused by a storm in the Atlantic Ocean M. Sofiev et al. 10.5194/acp-20-1839-2020
- Health risk assessment of engine exhaust emissions within Australian ports: a case study of Port of Brisbane S. Jahangiri et al. 10.1080/14660466.2019.1564427
- Impact of ship-borne nitrogen deposition on the Gulf of Finland ecosystem: an evaluation**The work presented in this study was jointly funded by the European Regional Development Fund, Central Baltic INTERREG IV A Programme within the project SNOOP and the European Union’s Seventh Framework Programme FP/2007–2011 within the projects ECOSUPPORT, grant agreement No. 217246. U. Raudsepp et al. 10.5697/oc.55-4.837
- Estimation of shipping emissions using vessel Long Range Identification and Tracking data A. Alessandrini et al. 10.1080/17445647.2017.1411842
- Perspectives on shipping emissions and their impacts on the surface ocean and lower atmosphere: An environmental-social-economic dimension Z. Shi et al. 10.1525/elementa.2023.00052
- Refinement of a model for evaluating the population exposure in an urban area J. Soares et al. 10.5194/gmd-7-1855-2014
- Improving ship energy efficiency: Models, methods, and applications R. Yan et al. 10.1016/j.apenergy.2024.123132
- Modelling of ships as a source of underwater noise J. Jalkanen et al. 10.5194/os-14-1373-2018
- Effect of Seasonal Flow Field on Inland Ship Emission Assessment: A Case Study of Ferry H. Huang et al. 10.3390/su12187484
- A data-driven study of IMO compliant fuel emissions with consideration of black carbon aerosols C. Ji & M. El-Halwagi 10.1016/j.oceaneng.2020.108241
- A ship emission diffusion model based on translation calculation and its application on Huangpu River in Shanghai S. He et al. 10.1016/j.cie.2022.108569
- Application of AIS data in service vessel activity description in the Gulf of Mexico M. Kaiser & S. Narra 10.1057/mel.2014.25
- Combined machine learning and physics-based models for estimating fuel consumption of cargo ships B. Guo et al. 10.1016/j.oceaneng.2022.111435
- Quantification of lightning-induced nitrogen oxide emissions over Europe J. Arndt et al. 10.1016/j.atmosenv.2018.12.059
- A comprehensive review on the prediction of ship energy consumption and pollution gas emissions K. Wang et al. 10.1016/j.oceaneng.2022.112826
- Estimating the effect of biofouling on ship shaft power based on sensor measurements H. Bakka et al. 10.1080/09377255.2022.2159108
- Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review Y. Yang et al. 10.1016/j.tre.2024.103426
- CO2 emissions in a global container shipping network and policy implications N. Tran & J. Lam 10.1057/s41278-022-00242-w
- The impact of marine shipping and its DECA control on air quality in the Pearl River Delta, China H. Liu et al. 10.1016/j.scitotenv.2018.01.033
- Reduction of CO 2 emissions with automatic mooring systems. The case of the port of Santander A. Ortega Piris et al. 10.1016/j.apr.2017.07.002
- Air pollution emission inventory using national high-resolution spatial parameters for the Nordic countries and analysis of PM2.5 spatial distribution for road transport and machinery and off-road sectors V. Paunu et al. 10.5194/essd-16-1453-2024
- Air quality monitoring in communities of the Canadian Arctic during the high shipping season with a focus on local and marine pollution A. Aliabadi et al. 10.5194/acp-15-2651-2015
- Shipping emissions and their impacts on air quality in China Y. Zhang et al. 10.1016/j.scitotenv.2016.12.098
- Constraints on ship NO<sub>x</sub> emissions in Europe using GEOS-Chem and OMI satellite NO<sub>2</sub> observations G. Vinken et al. 10.5194/acp-14-1353-2014
- Maritime NOx Emissions Over Chinese Seas Derived From Satellite Observations J. Ding et al. 10.1002/2017GL076788
- Measurement and Modeling of Ship-Related Ultrafine Particles and Secondary Organic Aerosols in a Mediterranean Port City M. Karl et al. 10.3390/toxics11090771
- Ship emissions of SO<sub>2</sub> and NO<sub>2</sub>: DOAS measurements from airborne platforms N. Berg et al. 10.5194/amt-5-1085-2012
- Method Study on Establishing of Ship Sewage Pollutants Discharging Inventory Based on AIS R. Chen et al. 10.1088/1755-1315/237/2/022018
- The impact of ship emissions on air quality and human health in the Gothenburg area – Part II: Scenarios for 2040 M. Ramacher et al. 10.5194/acp-20-10667-2020
- A framework for real-time monitoring of energy efficiency of marine vessels H. Chi et al. 10.1016/j.energy.2017.12.088
- Analysis of ship emission characteristics under real-world conditions in China C. Wang et al. 10.1016/j.oceaneng.2019.106615
- Costs of air pollutants from shipping: a meta-regression analysis I. Gren et al. 10.1080/01441647.2020.1723733
- Contribution of ship emissions to the concentration and deposition of air pollutants in Europe S. Aksoyoglu et al. 10.5194/acp-16-1895-2016
- Comparison of large-scale ship exhaust emissions across multiple resolutions: From annual to hourly data B. Goldsworthy et al. 10.1016/j.atmosenv.2019.116829
- Comparative analysis between different methods for calculating on-board ship's emissions and energy consumption based on operational data J. Moreno-Gutiérrez et al. 10.1016/j.scitotenv.2018.09.045
- A bibliometric analysis of scientific research trends in monitoring systems for measuring ship emissions L. Egan et al. 10.1007/s11356-023-26723-w
- Cleaner fuels for ships provide public health benefits with climate tradeoffs M. Sofiev et al. 10.1038/s41467-017-02774-9
- Methods for identifying aged ship plumes and estimating contribution to aerosol exposure downwind of shipping lanes S. Ausmeel et al. 10.5194/amt-12-4479-2019
- Impact of maritime transport emissions on coastal air quality in Europe M. Viana et al. 10.1016/j.atmosenv.2014.03.046
- Methodology to Assess the Technoeconomic Impacts of the EU Fit for 55 Legislation Package in Relation to Shipping G. Mallouppas et al. 10.3390/jmse10081006
- Sea Port SO2 Atmospheric Emissions Influence on Air Quality and Exposure at Veracruz, Mexico G. Fuentes García et al. 10.3390/atmos13121950
- Two-phase optimal solutions for ship speed and trim optimization over a voyage using voyage report data Y. Du et al. 10.1016/j.trb.2019.02.004
- Energy efficiency with the application of Virtual Arrival policy H. Jia et al. 10.1016/j.trd.2017.04.037
- Port-Related Emissions, Environmental Impacts and Their Implication on Green Traffic Policy in Shanghai Y. Zhou et al. 10.3390/su12104162
- Methodology for Predicting Maritime Traffic Ship Emissions Using Automatic Identification System Data J. Ribeiro da Silva et al. 10.3390/jmse12020320
- Policy change driven by an AIS-assisted marine emission inventory in Hong Kong and the Pearl River Delta S. Ng et al. 10.1016/j.atmosenv.2012.07.070
- Source apportionment of PM<sub>2.5</sub> in Cork Harbour, Ireland using a combination of single particle mass spectrometry and quantitative semi-continuous measurements R. Healy et al. 10.5194/acp-10-9593-2010
- How to recognize and measure the economic impacts of environmental regulation: The Sulphur Emission Control Area case A. Lähteenmäki-Uutela et al. 10.1016/j.jclepro.2017.03.224
- Governing shipping externalities: Baltic ports in the process of SOx emission reduction D. Gritsenko & J. Yliskylä-Peuralahti 10.1186/2212-9790-12-10
- A Big-Data-Based Experimental Platform for Green Shipping Monitoring and Its Teaching Application Y. Zhao et al. 10.3390/su15118674
- Impacts of the COVID-19 epidemic on merchant ship activity and pollution emissions in Shanghai port waters K. Shi & J. Weng 10.1016/j.scitotenv.2021.148198
- Estimating air emissions from ships: Meta-analysis of modelling approaches and available data sources A. Miola & B. Ciuffo 10.1016/j.atmosenv.2011.01.046
- Trajectory Data Compression Algorithm Based on Ship Navigation State and Acceleration Variation J. Gao et al. 10.3390/jmse11010216
- Atmospheric emissions of European SECA shipping: long-term projections J. Kalli et al. 10.1007/s13437-013-0050-9
- Costs and benefits of low-sulphur fuel standard for Baltic Sea shipping J. Antturi et al. 10.1016/j.jenvman.2016.09.064
- An improved method for optimizing detection bands of marine exhaust SO2 concentration in ultraviolet dual-band measurements based on signal-to-noise ratio Z. Zhang et al. 10.1016/j.apr.2022.101479
- Dynamic NOx emission factors for main engines of bulk carriers K. Duan et al. 10.1016/j.trd.2022.103290
- Analysis of emission characteristics associated with vessel activities states in port waters X. Gao et al. 10.1016/j.marpolbul.2024.116329
- Microscopic Approach to Evaluate Energy Consumption and Emissions from Ships B. Ciuffo & A. Miola 10.3141/2273-06
- Trends in Vessel Atmospheric Emissions in the Central Mediterranean over the Last 10 Years and during the COVID-19 Outbreak M. Saliba et al. 10.3390/jmse9070762
- A multi-pollutant and multi-sectorial approach to screening the consistency of emission inventories P. Thunis et al. 10.5194/gmd-15-5271-2022
- Observing network effect of shipping emissions from space: A natural experiment in the world’s busiest port S. Liu et al. 10.1093/pnasnexus/pgad391
- Assessing the effects of significant activity changes on urban-scale air quality across three European cities M. Ramacher et al. 10.1016/j.aeaoa.2024.100264
- Bayesian probabilistic forecasting for ship emissions J. Liu & O. Duru 10.1016/j.atmosenv.2020.117540
- Extension of an assessment model of ship traffic exhaust emissions for particulate matter and carbon monoxide J. Jalkanen et al. 10.5194/acp-12-2641-2012
- Underwater noise emissions from ships during 2014–2020 J. Jalkanen et al. 10.1016/j.envpol.2022.119766
- A comprehensive inventory of ship traffic exhaust emissions in the European sea areas in 2011 J. Jalkanen et al. 10.5194/acp-16-71-2016
- Environmental and Economic Evaluation of Dual-Fuel Engine Investment of a Container Ship Ç. Karatuğ et al. 10.1007/s11804-023-00381-3
- Effects of vertical ship exhaust plume distributions on urban pollutant concentration – a sensitivity study with MITRAS v2.0 and EPISODE-CityChem v1.4 R. Badeke et al. 10.5194/gmd-15-4077-2022
- Modeling emissions for three-dimensional atmospheric chemistry transport models V. Matthias et al. 10.1080/10962247.2018.1424057
- Risk assessment of bilge water discharges in two Baltic shipping lanes K. Magnusson et al. 10.1016/j.marpolbul.2017.09.035
- Establishment of Inland Ship Air Pollution Emission Inventory Based on Power Method Correction Model Z. Peng et al. 10.3390/su141811188
- Estimated health impacts from maritime transport in the Mediterranean region and benefits from the use of cleaner fuels M. Viana et al. 10.1016/j.envint.2020.105670
- Airborne nitrogen deposition to the Baltic Sea: Past trends, source allocation and future projections M. Gauss et al. 10.1016/j.atmosenv.2021.118377
- Using the Multicomponent Aerosol FORmation Model (MAFOR) to Determine Improved VOC Emission Factors in Ship Plumes L. Fink et al. 10.3390/toxics12060432
- Challenges of decarbonizing global maritime container shipping toward net-zero emissions B. Lu et al. 10.1038/s44183-023-00018-6
- Human impacts and their interactions in the Baltic Sea region M. Reckermann et al. 10.5194/esd-13-1-2022
- Emissions Assessment of Container Ships Sailing under Off-Design Conditions C. Borén et al. 10.3390/jmse11101983
- The influence of spatiality on shipping emissions, air quality and potential human exposure in the Yangtze River Delta/Shanghai, China J. Feng et al. 10.5194/acp-19-6167-2019
- Calculating a Drop in Carbon Emissions in the Strait of Gibraltar (Spain) from Domestic Shipping Traffic Caused by the COVID-19 Crisis V. Durán-Grados et al. 10.3390/su122410368
- Ship emissions around China under gradually promoted control policies from 2016 to 2019 X. Wang et al. 10.5194/acp-21-13835-2021
- Influence of Ship Emissions on Urban Air Quality: A Comprehensive Study Using Highly Time-Resolved Online Measurements and Numerical Simulation in Shanghai Z. Liu et al. 10.1021/acs.est.6b03834
- An innovative model to design extreme emission control areas (ECAs) by considering ship's evasion strategy L. Li et al. 10.1016/j.ocecoaman.2022.106289
- International maritime regulation decreases sulfur dioxide but increases nitrogen oxide emissions in the North and Baltic Sea W. Van Roy et al. 10.1038/s43247-023-01050-7
- Speed Profiles for Improvement of Maritime Emission Estimation P. Yau et al. 10.1089/ees.2011.0399
- Diffusion and Superposition of Ship Exhaust Gas in Port Area Based on Gaussian Puff Model: A Case Study on Shenzhen Port L. Gan et al. 10.3390/jmse11020330
- The impact of shipping CO2 emissions from marine traffic in Western Singapore Straits during COVID-19 Y. Ju & C. Hargreaves 10.1016/j.scitotenv.2021.148063
- Operational-based decarbonization of container ports: The case of Ningbo-Zhoushan Port C. Ezeh et al. 10.1080/15568318.2023.2197859
- A numerical approach to assess air pollution by ship engines in manoeuvring mode and fuel switch conditions P. Iodice et al. 10.1177/0958305X17734050
- An improved emission inventory method for estimating engine exhaust emissions from ships S. Jahangiri et al. 10.1016/j.serj.2018.08.005
- Shanghai Port Carbon Emission Measurement Study L. Zhang 10.54097/fbem.v2i1.154
- Decarbonization of Maritime Transport: Is There Light at the End of the Tunnel? H. Psaraftis & C. Kontovas 10.3390/su13010237
- Modelling of discharges from Baltic Sea shipping J. Jalkanen et al. 10.5194/os-17-699-2021
- Environmental cost and eco-efficiency from vessel emissions in Las Palmas Port M. Tichavska & B. Tovar 10.1016/j.tre.2015.09.002
- Framework for the environmental impact assessment of operational shipping J. Moldanová et al. 10.1007/s13280-021-01597-9
- A New Perspective at the Ship-Air-Sea-Interface: The Environmental Impacts of Exhaust Gas Scrubber Discharge S. Endres et al. 10.3389/fmars.2018.00139
- Local Standards, Behavioral Adjustments, and Welfare: Evaluating California’s Ocean-Going Vessel Fuel Rule R. Klotz & J. Berazneva 10.1086/717585
- Quantifying ship-borne emissions in Istanbul Strait with bottom-up and machine-learning approaches C. Ay et al. 10.1016/j.oceaneng.2022.111864
8 citations as recorded by crossref.
- Use of AIS data for the environmental characterization of world cruise ship traffic I. Vicente-Cera et al. 10.1080/15568318.2019.1575494
- The costs and benefits of sulphur reduction measures: Sulphur scrubbers versus marine gas oil L. Jiang et al. 10.1016/j.trd.2013.12.005
- Atmospheric ship emissions in ports: A review. Correlation with data of ship traffic D. Toscano & F. Murena 10.1016/j.aeaoa.2019.100050
- A genetic algorithm-based grey-box model for ship fuel consumption prediction towards sustainable shipping L. Yang et al. 10.1007/s10479-019-03183-5
- Analyzing cruise ship itineraries patterns and vessels diversity in ports of the European maritime region: A hierarchical clustering approach I. Vicente-Cera et al. 10.1016/j.jtrangeo.2020.102731
- Improving maritime traffic emission estimations on missing data with CRBMs A. Gutierrez-Torre et al. 10.1016/j.engappai.2020.103793
- The significance of incorporating unidentified vessels into AIS-based ship emission inventory Y. Zhang et al. 10.1016/j.atmosenv.2018.12.055
- Assessment of shipping emissions on four ports of Portugal R. Nunes et al. 10.1016/j.envpol.2017.08.112
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