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In recent years there has been a lively debate in Finland and Sweden on the climate impact of peat fuel utilization. The aim of this study was to clarify the contradictions between the Finnish and Swedish studies and provide a better basis for energy policy decision-making by summarizing the recent scientific knowledge about the climate impacts of peat fuel utilization chains based on the life cycle assessment (LCA) methodology. A starting point for this study was to carry out a critical review of Finnish and Swedish life cycle studies of the climate impacts of peat fuel utilization chains. The critical review was conducted according to the recommendations of international standards and its aim was to ensure that the methods, data and interpretation of results were carried out in a scientifically and technically valid way. During the review the available data (mostly published) on the greenhouse gas (GHG) balances and the radiative forcing impacts of GHGs were gathered and updated. The re-calculations showed that the climate impact of "Pristine mire – afforestation" utilization chain is similar to the climate impact of coal utilization, whereas the result of the peat utilization chain "Pristine mire – restoration" is slightly worse than for the coal utilization chain. The results were similar in the reviewed studies. The peat utilization chain "Forestry-drained peatlands – afforestration" causes a slightly higher climate impact on average than the coal utilization chain does. From the viewpoint of peat utilization the result was similar to the result of Finnish study. According to the reviewed studies the use of cultivated peatlands causes the lowest climate impact compared to the climate impacts of the other peatlands. However, cultivated peatlands do not play important role as an extraction area for peat utilization. From the viewpoint of peat utilization the result of cultivated peatland was worse compared to the result produced by the Finnish and Swedish studies. The climate impacts of peat fuel utilization chains are mostly caused by the carbon dioxide released by peat combustion. These emissions are known quite well. However, the emission assessments of different peat types include large uncertainty before, during and after peat extraction. In spite of that it can be said that land change options related to peat extraction and after-treatments have very limited effects on the climate impacts of peat utilization chain.

Organic aerosol (OA) is a key component of total submicron particulate matter (PM1), and comprehensive knowledge of OA sources across Europe is crucial to mitigate PM1 levels. Europe has a well-established air quality research infrastructure from which yearlong datasets using 21 aerosol chemical speciation monitors (ACSMs) and 1 aerosol mass spectrometer (AMS) were gathered during 2013–2019. It includes 9 non-urban and 13 urban sites. This study developed a state-of-the-art source apportionment protocol to analyse long-term OA mass spectrum data by applying the most advanced source apportionment strategies (i.e., rolling PMF, ME-2, and bootstrap). This harmonised protocol was followed strictly for all 22 datasets, making the source apportionment results more comparable. In addition, it enables quantification of the most common OA components such as hydrocarbon-like OA (HOA), biomass burning OA (BBOA), cooking-like OA (COA), more oxidised-oxygenated OA (MO-OOA), and less oxidised-oxygenated OA (LO-OOA). Other components such as coal combustion OA (CCOA), solid fuel OA (SFOA: mainly mixture of coal and peat combustion), cigarette smoke OA (CSOA), sea salt (mostly inorganic but part of the OA mass spectrum), coffee OA, and ship industry OA could also be separated at a few specific sites. Oxygenated OA (OOA) components make up most of the submicron OA mass (average = 71.1%, range from 43.7 to 100%). Solid fuel combustion-related OA components (i.e., BBOA, CCOA, and SFOA) are still considerable with in total 16.0% yearly contribution to the OA, yet mainly during winter months (21.4%). Overall, this comprehensive protocol works effectively across all sites governed by different sources and generates robust and consistent source apportionment results. Our work presents a comprehensive overview of OA sources in Europe with a unique combination of high time resolution (30–240 min) and long-term data coverage (9–36 months), providing essential information to improve/validate air quality, health impact, and climate models., Environment International, 166, ISSN:0160-4120, ISSN:1873-6750