TY - JOUR AU - Deák, JÁ AU - Makra, László AU - Matyasovszky, István AU - Csépe, Zoltán AU - Muladi, Beáta TI - Climate sensitivity of allergenic taxa in Central Europe associated with new climate change – related forces. JF - SCIENCE OF THE TOTAL ENVIRONMENT J2 - SCI TOTAL ENVIRON VL - 442 PY - 2013 SP - 36 EP - 47 PG - 12 SN - 0048-9697 DO - 10.1016/j.scitotenv.2012.10.067 UR - https://m2.mtmt.hu/api/publication/2110962 ID - 2110962 N1 - Megjegyzés-26315577 Megjegyzés-23484159 FN: Thomson Reuters Web of Knowledge AB - The aim of the study was to analyse trends of the pollen season with its duration, start and end dates, as well as trends of the annual total pollen count and annual peak pollen concentration for the Szeged agglomeration in Southern Hungary. The data set covered an 11-year period (1997-2007) that included eight taxa and seven daily climate variables. Trend analysis was performed on both annual and daily bases. Trend analysis on a daily basis is a new approach that provides information on the annual cycles of the trends. To quantify the strength of the relationship between the annual cycle of the slope of a pollen concentration trend and the annual cycles of the slopes of the climate variable trends, an association measure and a multiple association measure are introduced. Individual taxa were sorted into three categories according to their climate sensitivities. These were compared with two novel climate change-related forces, namely risk potential and expansion potential due to the climate change. The total annual pollen counts indicated significant trends for 4 taxa and 3 of these 4 trends increased on a daily basis. At the same time, significant changes were detected for the pollen season characteristics of three taxa. The association measures performed well when compared to the climate change-related forces. Significant changes in pollen season characteristics were also in accordance with the risk potential and expansion potential due to the climate change. A novel procedure was applied to separate the effects of the past and current weather conditions that influence the current Ambrosia pollen concentrations. The potential effect of land use changes on pollen release of the given taxa was also discussed using the CORINE Land Cover Database. LA - English DB - MTMT ER - TY - GEN AU - Makra, László TI - Különböző taxonok pollenjeinek komplex statisztikai elemzése a meteorológiai elemekkel összefüggésben, különös tekintettel a parlagfű pollenjére. (Complex statistical analysis of pollen of different taxa, with special attention to Ambrosia pollen.) PY - 2013 SP - 1 EP - 120 PG - 120 UR - https://m2.mtmt.hu/api/publication/3245164 ID - 3245164 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Székely J., Gábor AU - Rizzo L, Maria TI - The distance correlation t-test of independence in high dimension JF - JOURNAL OF MULTIVARIATE ANALYSIS J2 - J MULTIVARIATE ANAL VL - 117 PY - 2013 SP - 193 EP - 213 PG - 21 SN - 0047-259X DO - 10.1016/j.jmva.2013.02.012 UR - https://m2.mtmt.hu/api/publication/2307022 ID - 2307022 LA - English DB - MTMT ER - TY - JOUR AU - Makra, László AU - Matyasovszky, István AU - Deák, JÁ TI - Trends in the characteristics of allergenic pollen circulation in Central Europe based on the example of Szeged, Hungary JF - ATMOSPHERIC ENVIRONMENT J2 - ATMOS ENVIRON VL - 45 PY - 2011 IS - 33 SP - 6010 EP - 6018 PG - 9 SN - 1352-2310 DO - 10.1016/j.atmosenv.2011.07.051 UR - https://m2.mtmt.hu/api/publication/1661413 ID - 1661413 AB - The aim of the study is to analyse trends of the pollination season with its start and end dates, as well as trends of the annual total pollen count and annual peak pollen concentration for the Szeged agglomeration in Southern Hungary. The data set covers an 11-year period (1999-2009) and includes one of the largest spectra, with 19 taxa, as well as seven meteorological variables (minimum-, maximum- and mean temperature, total radiation, relative humidity, rainfall and wind speed). For highly skewed data, such as the annual total number of pollen counts or annual peak pollen concentrations, the Mann-Kendall test has a substantially greater predictive power than the t- test. After performing Mann-Kendall tests, the annual cycles of daily slopes of pollen concentration trends and annual cycles of daily slopes of climate variable trends are calculated. This kind of trend analysis is a novel approach as it provides information on annual cycles of trends. In order to represent the strength of their relationships an association measure (AM) and a multiple association measure (MAM) are introduced. Based on climate sensitivity, the individual taxa are sorted into three categories. The results obtained for the pollen quantity and phenological characteristics are compared with two novel climate change related categories, namely risk and expansion potential due to the climate change for each taxon. The total annual pollen count and annual peak pollen concentrations indicate a small number of changes when using ordinary linear trends, while the total annual pollen count calculated via daily linear trends show significant trends (70% of them positive) for almost all taxa. However, except for Poaceae and Urtica, there is no significant change in the duration of the pollination season. The association measure performs well compared to the climate change related forces. Furthermore, remarkable changes in pollen season characteristics are also in accordance with the risk and expansion potential due to climate change. © 2011 Elsevier Ltd. LA - English DB - MTMT ER - TY - JOUR AU - Makra, László AU - Sánta, T AU - Matyasovszky, István AU - Damialis, A AU - Karatzas, K AU - Bergmann, KC AU - Vokou, D TI - Airborne pollen in three European cities: Detection of atmospheric circulation pathways by applying three-dimensional clustering of backward trajectories JF - JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES J2 - J GEOPHYS RES ATMOS VL - 115 PY - 2010 IS - 24 PG - 16 SN - 2169-897X DO - 10.1029/2010JD014743 UR - https://m2.mtmt.hu/api/publication/1658813 ID - 1658813 AB - The long-range transport of particulates can substantially contribute to local air pollution. The importance of airborne pollen has grown due to the recent climate change; the lengthening of the pollen season and rising mean airborne pollen concentrations have increased health risks. Our aim is to identify atmospheric circulation pathways influencing pollen levels in three European cities, namely Thessaloniki, Szeged, and Hamburg. Trajectories were computed using the HYSPLIT model. The 4 day, 6 hourly three-dimensional (3-D) backward trajectories arriving at these locations at 1200 UT are produced for each day over a 5 year period. A k-means clustering algorithm using the Mahalanobis metric was applied in order to develop trajectory types. The delimitation of the clusters performed by the 3-D function "convhull" is a novel approach. The results of the cluster analysis reveal that the main pathways for Thessaloniki contributing substantially to the high mean Urticaceae pollen levels cover western Europe and the Mediterranean. The key pathway patterns for Ambrosia for Szeged are associated with backward trajectories coming from northwestern Europe, northeastern Europe, and northern Europe. A major pollen source identified is a cluster over central Europe, namely the Carpathian basin with peak values in Hungary. The principal patterns for Poaceae for Hamburg include western Europe and the mid-Atlantic region. Locations of the source areas coincide with the main habitat regions of the species in question. Critical daily pollen number exceedances conditioned on the clusters were also evaluated using two statistical indices. An attempt was made to separate medium-and long-range airborne pollen transport. LA - English DB - MTMT ER - TY - JOUR AU - Székely J., Gábor AU - Rizzo, ML AU - Bakirov, NK TI - Measuring and testing dependence by correlation of distances JF - ANNALS OF STATISTICS J2 - ANN STAT VL - 35 PY - 2007 IS - 6 SP - 2769 EP - 2794 PG - 26 SN - 0090-5364 DO - 10.1214/009053607000000505 UR - https://m2.mtmt.hu/api/publication/169085 ID - 169085 LA - English DB - MTMT ER -