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Distribution of black carbon in Northern Europe and the Arctic, and relations with climate forcing and air quality

Show simple item record 2017-02-27T13:28:52Z und 2017-11-06T11:03:25Z 2017-02-24 fi 2017-02-27T13:28:52Z und 2017-11-06T11:03:25Z 2016-11-28
dc.publisher Helsingin yliopisto fi
dc.publisher Helsingfors universitet sv
dc.publisher University of Helsinki en
dc.title Distribution of black carbon in Northern Europe and the Arctic, and relations with climate forcing and air quality en
ethesis.department Institutionen för fysik sv
ethesis.department Department of Physics en
ethesis.department Fysiikan laitos fi
ethesis.faculty Matematisk-naturvetenskapliga fakulteten sv
ethesis.faculty Matemaattis-luonnontieteellinen tiedekunta fi
ethesis.faculty Faculty of Science en
ethesis.faculty.URI Helsingfors universitet sv University of Helsinki en Helsingin yliopisto fi
dct.creator Gaire, Surakshya
dct.issued 2016
dct.language.ISO639-2 eng
dct.abstract The objective of this master s thesis was to better understand the impact of black carbon and its distribution in Northern Europe and the Arctic. To achieve the goal of the project, information on the observations relevant to black carbon (BC) pollution in Arctic dataset was collected. For the observational data all main BC measurement campaigns along with active satellite operations were collected. In this study, the BC concentration and deposition was estimated by the System Integrated Modelling of Atmospheric coMposition - a chemical transport model (CTM) SILAM. The model was driven with monitoring atmospheric composition and climate (MACCity), emission database for global atmospheric research hemispheric transport of air pollution (EDGAR-HTAP), and evaluating the climate and air quality impacts of short lived pollutants (ECLIPSE) emission inventories. For the computations, the year 2010 was chosen because of a better availability of data during that year. In the literature section, black carbon process in the atmosphere is explained along with its properties and characteristics. Furthermore, data description and data analysis is included which is followed by interpretation of model output on the seasonal deposition and concentration. As shown by the model-measurement comparison, the model basically captured the measured BC and organic carbon (OC) quite well for all emission inventories. However, the correlation coefficient for OC was still weak for most of the stations in Europe. The overall performance of BC for European stations is substantially better than in the Arctic areas. Deposition for BC and OC shows that the seasonal transport of BC from source regions is evident in the Arctic and near Arctic areas. Patterns of dry deposition is higher in winter period than in summer period. The SILAM model suggests winter period concentration of BC by MACCity and ECLIPSE inventory of 0.23 µg/m3 and 0.26 µg/m3 respectively for year 2010. This study provides a best performing setup for BC modeling , transport and deposition of BC in the Northern Europe and the Arctic despite the absence of ageing process. More observational data from Arctic stations would provide better result and model performance. Finally, the study gives an insight of the quality of existing emission inventories and the capabilities of reproducing seasonal deposition and concentration of BC to the Arctic. en
dct.language en
ethesis.language English en
ethesis.language englanti fi
ethesis.language engelska sv
ethesis.supervisor Sofiev, Mikhail
ethesis.supervisor Kulmala, Markku
ethesis.thesistype pro gradu-avhandlingar sv
ethesis.thesistype pro gradu -tutkielmat fi
ethesis.thesistype master's thesis en
ethesis.degreeprogram Atmosphere-Biosphere Studies en
dct.identifier.urn URN:NBN:fi-fe201702271882
dc.type.dcmitype Text
dct.rights This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited. en
dct.rights Publikationen är skyddad av upphovsrätten. Den får läsas och skrivas ut för personligt bruk. Användning i kommersiellt syfte är förbjuden. sv
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