20 research outputs found

    Receptor Modeling Source Apportionment of PM10 and Benzo(a)pyrene in Krakow, Poland

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    The main energy source in Krakow, Poland is coal combustion, which is believed to be the reason for frequent winter episodes of extremely high ambient air concentrations of particulate matter (PM10) and associated benzo(a)pyrene B(a)P. Results are presented on the source apportionment of PM10 and B(a)P during two episodes of thermal inversion (14/1 ; 2/3, 2005) at four different air monitoring stations and four apartments (indoor) in the city of Krakow, The results are compared to the Zakopane mountain site selected due to its prominent domestic coal heating and little traffic. The source apportionment was based on receptor modeling of the total of 72 ambient PM samples and 21 individual PM sources, chemically characterised for a high number of organic and inorganic compounds including polyaromatics (15 PAH and 18 azaarenes) heavy metals and trace elements (28 compounds), major ions, soot and organic carbon. An array of multivariate receptor models was used i.e. chemical mass balance (CMB), constrained matrix factorisation (CMF), constrained physical receptor modelling (COPREM) positive matrix factorization (PMF), principle component analysis with multi-linear regression analysis (PCA-MLRA), edge analysis (UNMIX), cluster analysis (CA), and self organizing maps SOM). The variation in the receptor dataset (55 compounds, 60 outdoor and 12 indoor PM samples) allowed the models of the pure factor analysis type (PMF, UNMIX, PCA-MLRA) to identify 3-5 factors of mixed sources. The interpretation of the factors was not straightforward, but pointed to a dominating primary source contribution from coal combustion (>60%) and a minor contribution from traffic (<10%). The secondary PM sources (20-30%) comprised industry and traffic. The results of cluster analysis and self organizing maps supported these indications. PMF was able to disaggregate the coal combustion into three factors i.e. ~10% related to industrial activities, ~20% related to home heating by stoves (coal) and ~30% related to boilers. The chemical fingerprints of the receptor samples and the main PM sources in Krakow and Zakopane allowed the pure chemical mass balance; type model (EPA-CMB8.2) to estimate the major contributions from two primary source types i.e. residential heating by coal combustion in small stoves and low efficiency boilers (~45%) and boilers with rudimentary PM reductions techniques such as cyclones (~15%), one major secondary source deriving from industrial and traffic emissions of SO2 + NOx + possibly HCl (~20%). Five minor primary sources were also identified i.e. traffic 5%, biomass burning ~5%, coke/fuel combustion ~5%, industrial high efficiency coal combustion 3%, and road/salt/rock re-suspension ~2%. The indoor PM10 and B(a)P were found to have the same sources as outdoor PM10 and B(a)P The results obtained by the models CMF and COPREM - which are hybrids of factor analysis and chemical mass balance generally agreed with the CMB results. However, their source contribution estimates are slightly different: residential heating ~30%, boilers with rudimentary PM reductions techniques such as cyclones ~30%, industrial high efficiency coal combustion ~15% traffic 3-7%, secondary 13-21%, road/salt/rock re-suspension 2-8%. All receptor models calculated residential heating to be the principal PM source in Zakopane (70-80%).JRC.H.4-Transport and air qualit

    What do we really know about the Transatlantic Trade and Investment Partnership: Facts versus myths? Trying to understand social expectations

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    Purpose: The purpose of this work is to confront the social expectations of the TTIP, and how it effects the so-called "expert knowledge". Defining a mismatch between the social expectations and expert knowledge may contribute to better understanding of the controversies related to the TTIP. Using the NAFTA case study, we investigate if there is a significant gap between ex-ante and ex-post analysis of the Free Trade Agreement (FTA). Design/methodology/approach: We rely on Eurobarometer (2014, 2015) and Bertelsmann Foundation (2016) surveys to describe the TTIP-related social expectations. We make a critical overview of the global CGE models, which are the main source of ex-ante estimations of TTIP macro effects. We also use the NAFTA case study as a TTIP reference point that allows for a comparison of ex-ante with ex-post analysis results. Findings: Social expectations regarding the economic effects of the TTIP are ambiguous on both sides of the Atlantic. The CGE models have many limiting assumptions. They are, however, a useful tool for exploring the effects of the TTIP, bearing in mind all restrictions and limitations of ex-ante analyses. The NAFTA case study indicates that most ex-ante models tend to overestimate benefits and underestimate disadvantages arising from free trade. Research limitations/implications: Many such surveys have been conducted recently. The results should be developed upon, for a more detailed, country-specific and time variant understanding of possible sources of social conflicts in the context of the TTIP (or FTA) implementation. Originality/value: The analysis tends to prove the existence of a mismatch between social and expert knowledge on the TTIP, which may result in generating social conflicts. A practical and original outcome of our work is a well-supported recommendation to make the TTIP realistic effects much more transparent to the public, which should be important to those supporting the TTIP (and generally speaking FTA)

    RANTES and Chemotactic Activity in Synovial Fluids From Patients With Rheumatoid Arthritis and Osteoarthritis

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    A massive accumulation of inflammatory cells in synovial tissues is a major pathological feature of rheumatoid arthritis (RA). Neutrophiles dominate synovial fluid while rheumatoid synovium is infiltrated with mononuclear cells. Mechanisms regulating influx of particular subpopulations of leukocytes into articular cavity and synovium compartment are not completely defined. An increasing amount of data supports a crucial role of a C-C chemokine RANTES in the RA pathogenesis. Our objective is to evaluate chemotactic activity for neutrophils (NCA), lymphocytes (LCA), and monocytes (MoCA) in SFs obtained from patients with RA and osteoarthritis (OA). We also aimed to characterise the relation between chemotactic activity, RANTES, and percentage distribution of leukocytes in SF. SFs from 11 patients with RA and 6 with OA were included in the study. Modified microchamber Boyden method was employed to assess chemotactic activity. Cytological and biochemical analysis of SF was performed. RANTES was measured with ELISA. Rheumatoid SFs were rich in cells with predominance of neutrophiles while osteoarthritic fluids were lymphocytic. RA SFs were also characterised by increased lactoferrin level. Both NCA and LCA were higher in SF from patients with RA (62±12 and 24±6 cells/HPF, resp) as compared to patients with OA (23±6; P<.05 and 6±2 cells/HPF; P<0.05). The chemoattractive effect of RA SF was more pronounced on neutrophiles than on lymphocytes. RA SF expressed high RANTES levels (145±36pg/mL), while OA SF was characterised by only trace amount of this chemokine (2±1 pg/mL). We found positive correlation of RANTES with chemotactic activity for mononuclear cells (LCA+MoCA; R=0.61; P<.05). Surprisingly, RANTES correlated also positively with neutrophiles number (R=0.77; P<0.001). Rheumatoid SF possesses strong chemotactic potency for leukocytes. RANTES is overexpressed in RA SF and is a potential mediator influencing intensity and composition of cellular infiltration in joints affected with inflammatory arthritis
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