• dr Katarzyna Dąbrowska-Zapart
Stanowisko: adiunkt
Jednostka: Instytut Nauk o Ziemi
Adres: 41-200 Sosnowiec, ul. Będzińska 60
Piętro: VIII
Numer pokoju: 820
Telefon: (32) 3689 477
E-mail: katarzyna.dabrowska-zapart@us.edu.pl
Spis publikacji: Spis wg CINiBA
Spis publikacji: Spis wg OPUS
Scopus Author ID: 54929817300
Publikacje z bazy Scopus
2023
Dąbrowska-Zapart, K.; Makra, L.; Matyasovszky, I.; Tusnády, G. E.; Ziska, L. H.; Hess, J. J.; Nyúl, L. G.; Chapman, D. S.; Coviello, L.; Gobbi, A.; Jurman, G.; Furlanello, C.; Brunato, M.; Damialis, A.; Charalampopoulos, A.; Müller-Schärer, H.; Schneider, N.; Szabó, B.; Sümeghy, Z.; Páldy, A.; Magyar, D.; Bergmann, K. C.; Deák, J. Á.; Mikó, E.; Thibaudon, M.; Oliver, G.; Albertini, R.; Bonini, M.; Šikoparija, B.; Radišic̈, P.; Josipović, M. M.; Gehrig, R.; Severova, E. E.; Shalaboda, V. L.; Stjepanović, B.; Ianovici, N.; Berger, U.; Seliger, A. K.; Rybnicek, O.; Myszkowska, D.; Majkowska-Wojciechowska, B.; Weryszko-Chmielewska, E.; Grewling, Ł.; Rapiejko, P.; Malkiewicz, M.; Šaulienė, I.; Prykhodo, O.; Maleeva, A.; Rodinkova, V. V.; Palamarchuk, O. O.; Ščevková, J.; Other, Authors.
A temporally and spatially explicit, data-driven estimation of airborne ragweed pollen concentrations across Europe Journal Article
In: Science of the Total Environment, vol. 905, 2023, ISSN: 00489697.
@article{2-s2.0-85173022583,
title = {A temporally and spatially explicit, data-driven estimation of airborne ragweed pollen concentrations across Europe},
author = { K. Dąbrowska-Zapart and L. Makra and I. Matyasovszky and G.E. Tusnády and L.H. Ziska and J.J. Hess and L.G. Nyúl and D.S. Chapman and L. Coviello and A. Gobbi and G. Jurman and C. Furlanello and M. Brunato and A. Damialis and A. Charalampopoulos and H. Müller-Schärer and N. Schneider and B. Szabó and Z. Sümeghy and A. Páldy and D. Magyar and K.C. Bergmann and J.Á. Deák and E. Mikó and M. Thibaudon and G. Oliver and R. Albertini and M. Bonini and B. Šikoparija and P. Radišic̈ and M.M. Josipović and R. Gehrig and E.E. Severova and V.L. Shalaboda and B. Stjepanović and N. Ianovici and U. Berger and A.K. Seliger and O. Rybnicek and D. Myszkowska and B. Majkowska-Wojciechowska and E. Weryszko-Chmielewska and Ł. Grewling and P. Rapiejko and M. Malkiewicz and I. Šaulienė and O. Prykhodo and A. Maleeva and V.V. Rodinkova and O.O. Palamarchuk and J. Ščevková and Authors. Other},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173022583&doi=10.1016%2fj.scitotenv.2023.167095&partnerID=40&md5=44bd53ec898dec5e85fae635add96e7f},
doi = {10.1016/j.scitotenv.2023.167095},
issn = {00489697},
year = {2023},
date = {2023-01-01},
journal = {Science of the Total Environment},
volume = {905},
publisher = {Elsevier B.V.},
abstract = {Ongoing and future climate change driven expansion of aeroallergen-producing plant species comprise a major human health problem across Europe and elsewhere. There is an urgent need to produce accurate, temporally dynamic maps at the continental level, especially in the context of climate uncertainty. This study aimed to restore missing daily ragweed pollen data sets for Europe, to produce phenological maps of ragweed pollen, resulting in the most complete and detailed high-resolution ragweed pollen concentration maps to date. To achieve this, we have developed two statistical procedures, a Gaussian method (GM) and deep learning (DL) for restoring missing daily ragweed pollen data sets, based on the plant's reproductive and growth (phenological; pollen production and frost-related) characteristics. DL model performances were consistently better for estimating seasonal pollen integrals than those of the GM approach. These are the first published modelled maps using altitude correction and flowering phenology to recover missing pollen information. We created a web page (http://euragweedpollen.gmf.u-szeged.hu/), including daily ragweed pollen concentration data sets of the stations examined and their restored daily data, allowing one to upload newly measured or recovered daily data. Generation of these maps provides a means to track pollen impacts in the context of climatic shifts, identify geographical regions with high pollen exposure, determine areas of future vulnerability, apply spatially-explicit mitigation measures and prioritize management interventions. © 2023 The Authors
Authors: Makra, L.; Matyasovszky, I.; Tusnády, G.E.; Ziska, L.H.; Hess, J.J.; Nyúl, L.G.; Chapman, D.S.; Coviello, L.; Gobbi, A.; Jurman, G.; Furlanello, C.; Brunato, M.; Damialis, A.; Charalampopoulos, A.; Müller-Schärer, H.; Schneider, N.; Szabó, B.; Sümeghy, Z.; Páldy, A.; Magyar, D.; Bergmann, K.C.; Deák, J.Á.; Mikó, E.; Thibaudon, M.; Oliver, G.; Albertini, R.; Bonini, M.; Šikoparija, B.; Radišic̈, P.; Josipović, M.M.; Gehrig, R.; Severova, E.E.; Shalaboda, V.L.; Stjepanović, B.; Ianovici, N.; Berger, U.; Seliger, A.K.; Rybnicek, O.; Myszkowska, D.; Dąbrowska-Zapart, K.; Majkowska-Wojciechowska, B.; Weryszko-Chmielewska, E.; Grewling, Ł.; Rapiejko, P.; Malkiewicz, M.; Šaulienė, I.; Prykhodo, O.; Maleeva, A.; Rodinkova, V.V.; Palamarchuk, O.O.; Ščevková, J.; Bullock, J.M.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ongoing and future climate change driven expansion of aeroallergen-producing plant species comprise a major human health problem across Europe and elsewhere. There is an urgent need to produce accurate, temporally dynamic maps at the continental level, especially in the context of climate uncertainty. This study aimed to restore missing daily ragweed pollen data sets for Europe, to produce phenological maps of ragweed pollen, resulting in the most complete and detailed high-resolution ragweed pollen concentration maps to date. To achieve this, we have developed two statistical procedures, a Gaussian method (GM) and deep learning (DL) for restoring missing daily ragweed pollen data sets, based on the plant's reproductive and growth (phenological; pollen production and frost-related) characteristics. DL model performances were consistently better for estimating seasonal pollen integrals than those of the GM approach. These are the first published modelled maps using altitude correction and flowering phenology to recover missing pollen information. We created a web page (http://euragweedpollen.gmf.u-szeged.hu/), including daily ragweed pollen concentration data sets of the stations examined and their restored daily data, allowing one to upload newly measured or recovered daily data. Generation of these maps provides a means to track pollen impacts in the context of climatic shifts, identify geographical regions with high pollen exposure, determine areas of future vulnerability, apply spatially-explicit mitigation measures and prioritize management interventions. © 2023 The Authors
Authors: Makra, L.; Matyasovszky, I.; Tusnády, G.E.; Ziska, L.H.; Hess, J.J.; Nyúl, L.G.; Chapman, D.S.; Coviello, L.; Gobbi, A.; Jurman, G.; Furlanello, C.; Brunato, M.; Damialis, A.; Charalampopoulos, A.; Müller-Schärer, H.; Schneider, N.; Szabó, B.; Sümeghy, Z.; Páldy, A.; Magyar, D.; Bergmann, K.C.; Deák, J.Á.; Mikó, E.; Thibaudon, M.; Oliver, G.; Albertini, R.; Bonini, M.; Šikoparija, B.; Radišic̈, P.; Josipović, M.M.; Gehrig, R.; Severova, E.E.; Shalaboda, V.L.; Stjepanović, B.; Ianovici, N.; Berger, U.; Seliger, A.K.; Rybnicek, O.; Myszkowska, D.; Dąbrowska-Zapart, K.; Majkowska-Wojciechowska, B.; Weryszko-Chmielewska, E.; Grewling, Ł.; Rapiejko, P.; Malkiewicz, M.; Šaulienė, I.; Prykhodo, O.; Maleeva, A.; Rodinkova, V.V.; Palamarchuk, O.O.; Ščevková, J.; Bullock, J.M.
Authors: Makra, L.; Matyasovszky, I.; Tusnády, G.E.; Ziska, L.H.; Hess, J.J.; Nyúl, L.G.; Chapman, D.S.; Coviello, L.; Gobbi, A.; Jurman, G.; Furlanello, C.; Brunato, M.; Damialis, A.; Charalampopoulos, A.; Müller-Schärer, H.; Schneider, N.; Szabó, B.; Sümeghy, Z.; Páldy, A.; Magyar, D.; Bergmann, K.C.; Deák, J.Á.; Mikó, E.; Thibaudon, M.; Oliver, G.; Albertini, R.; Bonini, M.; Šikoparija, B.; Radišic̈, P.; Josipović, M.M.; Gehrig, R.; Severova, E.E.; Shalaboda, V.L.; Stjepanović, B.; Ianovici, N.; Berger, U.; Seliger, A.K.; Rybnicek, O.; Myszkowska, D.; Dąbrowska-Zapart, K.; Majkowska-Wojciechowska, B.; Weryszko-Chmielewska, E.; Grewling, Ł.; Rapiejko, P.; Malkiewicz, M.; Šaulienė, I.; Prykhodo, O.; Maleeva, A.; Rodinkova, V.V.; Palamarchuk, O.O.; Ščevková, J.; Bullock, J.M.
2022
Bilińska-Prałat, D.; Werner, M.; Kryza, M.; Malkiewicz, M.; Rapiejko, P.; Chłopek, K.; Dąbrowska-Zapart, K.; Lipiec, A.; Jurkiewicz, D.; Kalinowska, E.; Majkowska-Wojciechowska, B.; Myszkowska, D.; Piotrowska-Weryszko, K.; Puc, M.; Rapiejko, A.; Siergiejko, G.; Weryszko-Chmielewska, E.; Wieczorkiewicz, A.; Ziemianin, M.
Application of the HYSPLIT model for birch pollen modelling in Poland Journal Article
In: Aerobiologia, vol. 38, no. 1, pp. 103-121, 2022, ISSN: 03935965, (2).
@article{2-s2.0-85123848751,
title = {Application of the HYSPLIT model for birch pollen modelling in Poland},
author = { D. Bilińska-Prałat and M. Werner and M. Kryza and M. Malkiewicz and P. Rapiejko and K. Chłopek and K. Dąbrowska-Zapart and A. Lipiec and D. Jurkiewicz and E. Kalinowska and B. Majkowska-Wojciechowska and D. Myszkowska and K. Piotrowska-Weryszko and M. Puc and A. Rapiejko and G. Siergiejko and E. Weryszko-Chmielewska and A. Wieczorkiewicz and M. Ziemianin},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123848751&doi=10.1007%2fs10453-021-09737-0&partnerID=40&md5=8b1ed2082b2cf8f4a61b35b01fa3a29e},
doi = {10.1007/s10453-021-09737-0},
issn = {03935965},
year = {2022},
date = {2022-01-01},
journal = {Aerobiologia},
volume = {38},
number = {1},
pages = {103-121},
publisher = {Springer Science and Business Media B.V.},
abstract = {In this work, the HYSPLIT model was used to reproduce birch pollen concentrations in Poland for the years 2015 and 2016, where there was significant variation in terms of pollen concentrations and start/end dates of the pollen season. The analysis of pollen observations showed that the seasonal pollen integral (SPIn) was low in 2015 with a shorter season compared to 2016. In 2016, SPIn was unusually high. The HYSPLIT model simulation, with a one-hour temporal resolution, was conducted during the birch pollen season (from March to May) for 2015 and 2016. Meteorological data were obtained from the WRF model. The birch coverage map of the European Forest Institute was used. The emission, introduced to the model, covered Central Europe with a resolution of 0.3° × 0.3°. The results were compared to data from 11 observation stations in Poland. The measured birch pollen concentrations for 2015 were overestimated by HYSPLIT at 8 of the 11 stations (normalized mean bias/NMB from 0.13 to 2.53) and underestimated for three stations (NMB from − 0.44 to − 0.15). For 2016, the model highly underestimated the pollen concentrations, with NMB ranging from − 0.45 to − 0.93. In general, the results show that the model can resolve the main peaks of pollen concentrations, which is a step forward in the application of the HYSPLIT model for birch pollen forecasting over Poland. We suggest the application of methods that can reduce the bias of temperature such as meteorological data assimilation or bias correction, which could improve calculation of the start of emissions and consequently the start of the pollen season as well as pollen concentrations. © 2022, The Author(s).},
note = {2},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In this work, the HYSPLIT model was used to reproduce birch pollen concentrations in Poland for the years 2015 and 2016, where there was significant variation in terms of pollen concentrations and start/end dates of the pollen season. The analysis of pollen observations showed that the seasonal pollen integral (SPIn) was low in 2015 with a shorter season compared to 2016. In 2016, SPIn was unusually high. The HYSPLIT model simulation, with a one-hour temporal resolution, was conducted during the birch pollen season (from March to May) for 2015 and 2016. Meteorological data were obtained from the WRF model. The birch coverage map of the European Forest Institute was used. The emission, introduced to the model, covered Central Europe with a resolution of 0.3° × 0.3°. The results were compared to data from 11 observation stations in Poland. The measured birch pollen concentrations for 2015 were overestimated by HYSPLIT at 8 of the 11 stations (normalized mean bias/NMB from 0.13 to 2.53) and underestimated for three stations (NMB from − 0.44 to − 0.15). For 2016, the model highly underestimated the pollen concentrations, with NMB ranging from − 0.45 to − 0.93. In general, the results show that the model can resolve the main peaks of pollen concentrations, which is a step forward in the application of the HYSPLIT model for birch pollen forecasting over Poland. We suggest the application of methods that can reduce the bias of temperature such as meteorological data assimilation or bias correction, which could improve calculation of the start of emissions and consequently the start of the pollen season as well as pollen concentrations. © 2022, The Author(s).
Dąbrowska-Zapart, K.; Niedźwiedź, T.
The course of birch pollen seasons in Sosnowiec (Southern Poland) in 1997–2020 in relation to meteorological conditions Journal Article
In: Aerobiologia, vol. 38, no. 1, pp. 51-70, 2022, ISSN: 03935965, (1).
@article{2-s2.0-85121351192,
title = {The course of birch pollen seasons in Sosnowiec (Southern Poland) in 1997–2020 in relation to meteorological conditions},
author = { K. Dąbrowska-Zapart and T. Niedźwiedź},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121351192&doi=10.1007%2fs10453-021-09734-3&partnerID=40&md5=d1a808efb70c5751a5c6133369cb4848},
doi = {10.1007/s10453-021-09734-3},
issn = {03935965},
year = {2022},
date = {2022-01-01},
journal = {Aerobiologia},
volume = {38},
number = {1},
pages = {51-70},
publisher = {Springer Science and Business Media B.V.},
abstract = {The study's main objective was to specify the extent to which weather conditions were related to the course of birch pollen seasons in the years 1997–2020. The impact of atmospheric conditions on the daily concentrations of birch pollen grains, the Annual pollen integral (APIn), and the length of pollen seasons were studied. The dependency between each meteorological condition and various features of the birch pollen season was determined using Spearman’s rho correlation, the Kruskal–Wallis test, and cluster analysis with the k-means method. It has been shown that the duration of sunshine and average air temperature occurring within 14 days preceding the season has the most significant influence on the beginning of a birch pollen season. The value of daily birch pollen concentrations in Sosnowiec showed a statistically significant positive correlation with the duration of sunlight and the average and maximum wind speed. The daily concentration also depended on the synoptic situation: the mass airflow direction, the type of air mass inflow, and the type of weather front. The near-ground temperature influenced the APIn of birch pollen grains during the period of 14 days before the beginning of the season and the meteorological conditions occurring in the summer of the preceding year such as the maximum temperature, duration of sunlight, the maximum and average wind speed, and the relative air humidity. It was concluded that the length of birch pollen seasons decreased year by year. © 2021, The Author(s).},
note = {1},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The study's main objective was to specify the extent to which weather conditions were related to the course of birch pollen seasons in the years 1997–2020. The impact of atmospheric conditions on the daily concentrations of birch pollen grains, the Annual pollen integral (APIn), and the length of pollen seasons were studied. The dependency between each meteorological condition and various features of the birch pollen season was determined using Spearman’s rho correlation, the Kruskal–Wallis test, and cluster analysis with the k-means method. It has been shown that the duration of sunshine and average air temperature occurring within 14 days preceding the season has the most significant influence on the beginning of a birch pollen season. The value of daily birch pollen concentrations in Sosnowiec showed a statistically significant positive correlation with the duration of sunlight and the average and maximum wind speed. The daily concentration also depended on the synoptic situation: the mass airflow direction, the type of air mass inflow, and the type of weather front. The near-ground temperature influenced the APIn of birch pollen grains during the period of 14 days before the beginning of the season and the meteorological conditions occurring in the summer of the preceding year such as the maximum temperature, duration of sunlight, the maximum and average wind speed, and the relative air humidity. It was concluded that the length of birch pollen seasons decreased year by year. © 2021, The Author(s).
Werner, M.; Bilińska-Prałat, D.; Kryza, M.; Guzikowski, J.; Malkiewicz, M.; Rapiejko, P.; Chłopek, K.; Dąbrowska-Zapart, K.; Lipiec, A.; Jurkiewicz, D.; Kalinowska, E.; Majkowska-Wojciechowska, B.; Myszkowska, D.; Piotrowska-Weryszko, K.; Puc, M.; Rapiejko, A.; Siergiejko, G.; Weryszko-Chmielewska, E.; Wieczorkiewicz, A.; Ziemianin, M.
The impact of data assimilation into the meteorological WRF model on birch pollen modelling Journal Article
In: Science of the Total Environment, vol. 807, 2022, ISSN: 00489697.
@article{2-s2.0-85117839943,
title = {The impact of data assimilation into the meteorological WRF model on birch pollen modelling},
author = { M. Werner and D. Bilińska-Prałat and M. Kryza and J. Guzikowski and M. Malkiewicz and P. Rapiejko and K. Chłopek and K. Dąbrowska-Zapart and A. Lipiec and D. Jurkiewicz and E. Kalinowska and B. Majkowska-Wojciechowska and D. Myszkowska and K. Piotrowska-Weryszko and M. Puc and A. Rapiejko and G. Siergiejko and E. Weryszko-Chmielewska and A. Wieczorkiewicz and M. Ziemianin},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117839943&doi=10.1016%2fj.scitotenv.2021.151028&partnerID=40&md5=2d0ff8f59341af1c5052b36faddd6ed7},
doi = {10.1016/j.scitotenv.2021.151028},
issn = {00489697},
year = {2022},
date = {2022-01-01},
journal = {Science of the Total Environment},
volume = {807},
publisher = {Elsevier B.V.},
abstract = {We analyse the impact of ground-based data assimilation to the Weather Research and Forecasting (WRF) meteorological model on parameters relevant for birch pollen emission calculations. Then, we use two different emission databases (BASE – no data assimilation; OBSNUD – data assimilation for the meteorological model) in the chemical transport model and evaluate birch pollen concentrations. Finally, we apply a scaling factor for the emissions (BASE and OBSNUD), based on the ratio between simulated and observed seasonal pollen integral (SPIn) to analyse its impact on birch concentrations over Central Europe. Assimilation of observational data significantly reduces model overestimation of air temperature, which is the main parameter responsible for the start of pollen emission and amount of released pollen. The results also show that a relatively small bias in air temperature from the model can lead to significant differences in heating degree days (HDD) value. This may cause the HDD threshold to be attained several days earlier/later than indicated from observational data which has further impact on the start of pollen emission. Even though the bias for air temperature was reduced for OBSNUD, the model indicates a start for the birch pollen season that is too early compared to observations. The start date of the season was improved at two of the 11 stations in Poland. Data assimilation does not have a significant impact on the season's end or SPIn value. The application of the SPIn factor for the emissions results in a much closer birch pollen concentration level to observations even though the factor does not improve the start or end of the pollen season. The post-processing of modelled meteorological fields, such as the application of bias correction, can be considered as a way to further improve the pollen emission modelling. © 2021 The Authors},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
We analyse the impact of ground-based data assimilation to the Weather Research and Forecasting (WRF) meteorological model on parameters relevant for birch pollen emission calculations. Then, we use two different emission databases (BASE – no data assimilation; OBSNUD – data assimilation for the meteorological model) in the chemical transport model and evaluate birch pollen concentrations. Finally, we apply a scaling factor for the emissions (BASE and OBSNUD), based on the ratio between simulated and observed seasonal pollen integral (SPIn) to analyse its impact on birch concentrations over Central Europe. Assimilation of observational data significantly reduces model overestimation of air temperature, which is the main parameter responsible for the start of pollen emission and amount of released pollen. The results also show that a relatively small bias in air temperature from the model can lead to significant differences in heating degree days (HDD) value. This may cause the HDD threshold to be attained several days earlier/later than indicated from observational data which has further impact on the start of pollen emission. Even though the bias for air temperature was reduced for OBSNUD, the model indicates a start for the birch pollen season that is too early compared to observations. The start date of the season was improved at two of the 11 stations in Poland. Data assimilation does not have a significant impact on the season's end or SPIn value. The application of the SPIn factor for the emissions results in a much closer birch pollen concentration level to observations even though the factor does not improve the start or end of the pollen season. The post-processing of modelled meteorological fields, such as the application of bias correction, can be considered as a way to further improve the pollen emission modelling. © 2021 The Authors
2021
Myszkowska, D.; Piotrowicz, K.; Ziemianin, M.; Bastl, M.; Berger, U.; Dahl, Å.; Dąbrowska-Zapart, K.; Górecki, A.; Lafférsová, J.; Majkowska-Wojciechowska, B.; Malkiewicz, M.; Nowak, M.; Puc, M.; Rybnicek, O.; Saarto, A.; Šaulienė, I.; Ščevková, J.; Seliger, A. Kofol; Šikoparija, B.; Piotrowska-Weryszko, K.; Czarnobilska, E.
In: Aerobiologia, vol. 37, no. 3, pp. 543-559, 2021, ISSN: 03935965, (6).
@article{2-s2.0-85105018488,
title = {Unusually high birch (Betula spp.) pollen concentrations in Poland in 2016 related to long-range transport (LRT) and the regional pollen occurrence},
author = { D. Myszkowska and K. Piotrowicz and M. Ziemianin and M. Bastl and U. Berger and Å. Dahl and K. Dąbrowska-Zapart and A. Górecki and J. Lafférsová and B. Majkowska-Wojciechowska and M. Malkiewicz and M. Nowak and M. Puc and O. Rybnicek and A. Saarto and I. Šaulienė and J. Ščevková and A. Kofol Seliger and B. Šikoparija and K. Piotrowska-Weryszko and E. Czarnobilska},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105018488&doi=10.1007%2fs10453-021-09703-w&partnerID=40&md5=f83b5931c2b3df1f584a4a334c164d69},
doi = {10.1007/s10453-021-09703-w},
issn = {03935965},
year = {2021},
date = {2021-01-01},
journal = {Aerobiologia},
volume = {37},
number = {3},
pages = {543-559},
publisher = {Springer Science and Business Media B.V.},
abstract = {Abstract: In 2016, the highest birch (Betula spp.) pollen concentrations were recorded in Kraków (Poland) since the beginning of pollen observations in 1991. The aim of this study was to ascertain the reason for this phenomenon, taking the local sources of pollen in Poland and long-range transport (LRT) episodes associated with the pollen influx from other European countries into account. Three periods of higher pollen concentrations in Kraków in 2016 were investigated with the use of pollen data, phenological data, meteorological data and the HYSPLIT numerical model to calculate trajectories up to 4 days back (96 h) at the selected Polish sites. From 5 to 8 April, the birch pollen concentrations increased in Kraków up to 4000 Pollen/m3, although no full flowering of birch trees in the city was observed. The synoptic situation with air masses advection from the South as well as backward trajectories and the general birch pollen occurrence in Europe confirm that pollen was transported mainly from Serbia, Hungary, Austria, the Czech Republic, Slovakia, into Poland. The second analyzed period (13–14 April) was related largely to the local flowering of birches, while the third one in May (6–7 May) mostly resulted from the birch pollen transport from Fennoscandia and the Baltic countries. Unusual high pollen concentrations at the beginning of the pollen season can augment the symptomatic burden of birch pollen allergy sufferers and should be considered during therapy. Such incidents also affect the estimation of pollen seasons timing and severity. Graphical Abstract: [Figure not available: see fulltext.]. © 2021, The Author(s).},
note = {6},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Abstract: In 2016, the highest birch (Betula spp.) pollen concentrations were recorded in Kraków (Poland) since the beginning of pollen observations in 1991. The aim of this study was to ascertain the reason for this phenomenon, taking the local sources of pollen in Poland and long-range transport (LRT) episodes associated with the pollen influx from other European countries into account. Three periods of higher pollen concentrations in Kraków in 2016 were investigated with the use of pollen data, phenological data, meteorological data and the HYSPLIT numerical model to calculate trajectories up to 4 days back (96 h) at the selected Polish sites. From 5 to 8 April, the birch pollen concentrations increased in Kraków up to 4000 Pollen/m3, although no full flowering of birch trees in the city was observed. The synoptic situation with air masses advection from the South as well as backward trajectories and the general birch pollen occurrence in Europe confirm that pollen was transported mainly from Serbia, Hungary, Austria, the Czech Republic, Slovakia, into Poland. The second analyzed period (13–14 April) was related largely to the local flowering of birches, while the third one in May (6–7 May) mostly resulted from the birch pollen transport from Fennoscandia and the Baltic countries. Unusual high pollen concentrations at the beginning of the pollen season can augment the symptomatic burden of birch pollen allergy sufferers and should be considered during therapy. Such incidents also affect the estimation of pollen seasons timing and severity. Graphical Abstract: [Figure not available: see fulltext.]. © 2021, The Author(s).
Werner, M.; Guzikowski, J.; Kryza, M.; Malkiewicz, M.; Bilińska, D.; Skjøth, C. A.; Rapiejko, P.; Chłopek, K.; Dąbrowska-Zapart, K.; Lipiec, A.; Jurkiewicz, D.; Kalinowska, E.; Majkowska-Wojciechowska, B.; Myszkowska, D.; Piotrowska-Weryszko, K.; Puc, M.; Rapiejko, A.; Siergiejko, G.; Weryszko-Chmielewska, E.; Wieczorkiewicz, A.; Ziemianin, M.
Extension of WRF-Chem for birch pollen modelling—a case study for Poland Journal Article
In: International Journal of Biometeorology, vol. 65, no. 4, pp. 513-526, 2021, ISSN: 00207128, (2).
@article{2-s2.0-85096000001,
title = {Extension of WRF-Chem for birch pollen modelling—a case study for Poland},
author = { M. Werner and J. Guzikowski and M. Kryza and M. Malkiewicz and D. Bilińska and C.A. Skjøth and P. Rapiejko and K. Chłopek and K. Dąbrowska-Zapart and A. Lipiec and D. Jurkiewicz and E. Kalinowska and B. Majkowska-Wojciechowska and D. Myszkowska and K. Piotrowska-Weryszko and M. Puc and A. Rapiejko and G. Siergiejko and E. Weryszko-Chmielewska and A. Wieczorkiewicz and M. Ziemianin},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096000001&doi=10.1007%2fs00484-020-02045-1&partnerID=40&md5=2a7aee37b94db3798a8adc608480290b},
doi = {10.1007/s00484-020-02045-1},
issn = {00207128},
year = {2021},
date = {2021-01-01},
journal = {International Journal of Biometeorology},
volume = {65},
number = {4},
pages = {513-526},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {In recent years, allergies due to airborne pollen allergens have shown an increasing trend, along with the severity of allergic symptoms in most industrialized countries, while synergism with other common atmospheric pollutants has also been identified as affecting the overall quality of citizenly life. In this study, we propose the state-of-the-art WRF-Chem model, which is a complex Eulerian meteorological model integrated on-line with atmospheric chemistry. We used a combination of the WRF-Chem extended towards birch pollen, and the emission module based on heating degree days, which has not been tested before. The simulations were run for the moderate season in terms of birch pollen concentrations (year 2015) and high season (year 2016) over Central Europe, which were validated against 11 observational stations located in Poland. The results show that there is a big difference in the model’s performance for the two modelled years. In general, the model overestimates birch pollen concentrations for the moderate season and highly underestimates birch pollen concentrations for the year 2016. The model was able to predict birch pollen concentrations for first allergy symptoms (above 20 pollen m−3) as well as for severe symptoms (above 90 pollen m−3) with probability of detection at 0.78 and 0.68 and success ratio at 0.75 and 0.57, respectively for the year 2015. However, the model failed to reproduce these parameters for the year 2016. The results indicate the potential role of correcting the total seasonal pollen emission in improving the model’s performance, especially for specific years in terms of pollen productivity. The application of chemical transport models such as WRF-Chem for pollen modelling provides a great opportunity for simultaneous simulations of chemical air pollution and allergic pollen with one goal, which is a step forward for studying and understanding the co-exposure of these particles in the air. © 2020, The Author(s).},
note = {2},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In recent years, allergies due to airborne pollen allergens have shown an increasing trend, along with the severity of allergic symptoms in most industrialized countries, while synergism with other common atmospheric pollutants has also been identified as affecting the overall quality of citizenly life. In this study, we propose the state-of-the-art WRF-Chem model, which is a complex Eulerian meteorological model integrated on-line with atmospheric chemistry. We used a combination of the WRF-Chem extended towards birch pollen, and the emission module based on heating degree days, which has not been tested before. The simulations were run for the moderate season in terms of birch pollen concentrations (year 2015) and high season (year 2016) over Central Europe, which were validated against 11 observational stations located in Poland. The results show that there is a big difference in the model’s performance for the two modelled years. In general, the model overestimates birch pollen concentrations for the moderate season and highly underestimates birch pollen concentrations for the year 2016. The model was able to predict birch pollen concentrations for first allergy symptoms (above 20 pollen m−3) as well as for severe symptoms (above 90 pollen m−3) with probability of detection at 0.78 and 0.68 and success ratio at 0.75 and 0.57, respectively for the year 2015. However, the model failed to reproduce these parameters for the year 2016. The results indicate the potential role of correcting the total seasonal pollen emission in improving the model’s performance, especially for specific years in terms of pollen productivity. The application of chemical transport models such as WRF-Chem for pollen modelling provides a great opportunity for simultaneous simulations of chemical air pollution and allergic pollen with one goal, which is a step forward for studying and understanding the co-exposure of these particles in the air. © 2020, The Author(s).
2020
Dąbrowska-Zapart, K.; Niedźwiedź, T.
The impact of weather conditions on hazel pollen concentration in Sosnowiec (Poland) in 1997–2019 Journal Article
In: Aerobiologia, vol. 36, no. 4, pp. 697-713, 2020, ISSN: 03935965, (1).
@article{2-s2.0-85092184904,
title = {The impact of weather conditions on hazel pollen concentration in Sosnowiec (Poland) in 1997–2019},
author = { K. Dąbrowska-Zapart and T. Niedźwiedź},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092184904&doi=10.1007%2fs10453-020-09661-9&partnerID=40&md5=ca93ca32e992d1ba460c71799388452a},
doi = {10.1007/s10453-020-09661-9},
issn = {03935965},
year = {2020},
date = {2020-01-01},
journal = {Aerobiologia},
volume = {36},
number = {4},
pages = {697-713},
publisher = {Springer Science and Business Media B.V.},
abstract = {The goal of this study was to compare hazel pollen seasons in Sosnowiec in 1997–2019 and to analyse the impact of weather conditions on these seasons. The measurements were conducted using a volumetric method with a Burkard spore trap. The duration of pollen seasons was determined using the 98% method. SPI (Seasonal Pollen Index) was calculated as the sum of daily pollen concentrations in a given season. The measurements showed that high temperatures in January and February had an impact on the beginning of the hazel pollen season. They revealed that there are positive correlations with temperatures and sunshine hours long before the season, i.e. 210–180 days before. The daily hazel pollen concentration in Sosnowiec showed a positive and statistically significant correlation with air temperature, sunshine hours, and average and maximum wind speed. Negative correlation was demonstrated for snow cover depth and relative humidity of the air. Daily concentration levels depend also on the type of weather front as well as direction of air mass flow and its type. Variance analysis showed that the highest concentrations of hazel pollen grains were recorded when warm air moves from the south and south–western direction, whereas the lowest ones were noted for air moving from the east, south–east, north and north–east directions. Atmospheric precipitation, snow cover depth, and average, maximum, minimum and near-the-ground temperatures in the season also had an impact on the SPI of hazel pollen grains. High positive correlation coefficients were also observed in the case of thermal conditions, sunshine hours, relative humidity and precipitation from July to September in the year preceding a given pollen season. The duration of the hazel pollen season depends on precipitation, snow cover depth and temperature during a given season. © 2020, The Author(s).},
note = {1},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The goal of this study was to compare hazel pollen seasons in Sosnowiec in 1997–2019 and to analyse the impact of weather conditions on these seasons. The measurements were conducted using a volumetric method with a Burkard spore trap. The duration of pollen seasons was determined using the 98% method. SPI (Seasonal Pollen Index) was calculated as the sum of daily pollen concentrations in a given season. The measurements showed that high temperatures in January and February had an impact on the beginning of the hazel pollen season. They revealed that there are positive correlations with temperatures and sunshine hours long before the season, i.e. 210–180 days before. The daily hazel pollen concentration in Sosnowiec showed a positive and statistically significant correlation with air temperature, sunshine hours, and average and maximum wind speed. Negative correlation was demonstrated for snow cover depth and relative humidity of the air. Daily concentration levels depend also on the type of weather front as well as direction of air mass flow and its type. Variance analysis showed that the highest concentrations of hazel pollen grains were recorded when warm air moves from the south and south–western direction, whereas the lowest ones were noted for air moving from the east, south–east, north and north–east directions. Atmospheric precipitation, snow cover depth, and average, maximum, minimum and near-the-ground temperatures in the season also had an impact on the SPI of hazel pollen grains. High positive correlation coefficients were also observed in the case of thermal conditions, sunshine hours, relative humidity and precipitation from July to September in the year preceding a given pollen season. The duration of the hazel pollen season depends on precipitation, snow cover depth and temperature during a given season. © 2020, The Author(s).
Marynowski, L.; Łupikasza, E. B.; Dąbrowska-Zapart, K.; Małarzewski, Ł.; Niedźwiedź, T.; Simoneit, B. R. T.
In: Atmospheric Environment, vol. 242, 2020, ISSN: 13522310, (7).
@article{2-s2.0-85089820782,
title = {Seasonal and vertical variability of saccharides and other organic tracers of PM10 in relation to weather conditions in an urban environment of Upper Silesia, Poland},
author = { L. Marynowski and E.B. Łupikasza and K. Dąbrowska-Zapart and Ł. Małarzewski and T. Niedźwiedź and B.R.T. Simoneit},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089820782&doi=10.1016%2fj.atmosenv.2020.117849&partnerID=40&md5=d0c65b4e064f6a3a076cab7996c52eda},
doi = {10.1016/j.atmosenv.2020.117849},
issn = {13522310},
year = {2020},
date = {2020-01-01},
journal = {Atmospheric Environment},
volume = {242},
publisher = {Elsevier Ltd},
abstract = {PM10 samples collected over one year from the city of Sosnowiec, part of the Upper Silesia metropolis were studied. The locale was a gradient meteorological station, 4 m and 100 m above ground. The dominant compounds identified were anhydro-, mono- and disaccharides which were divided into three groups of organic tracers (OT): biomass burning (BB) including low-rank coal burning, pollen grains (PG) and fungal spores (FS). The BB group included: levoglucosan, mannosan and galactosan, complemented with vanillic and dehydroabietic acids. The PG group included: fructose, glucose and sucrose, supplemented with D-pinitol, and the FS tracers included: arabitol, mannitol and trehalose. Levoglucosan reached 1503 ng/m3 in heating season at 4 m and 983 ng/m3 at 100 m. These values are among the highest mean concentrations of levoglucosan reported in Europe, confirming severe pollution of the Upper Silesian urban environment. We also suggest that the significant levoglucosan levels during the non-heating seasons could be from wind advected polluted soil and dust. All FS tracers correlate well with fungal spore counts, while the correlation of pollen numbers with their typical molecular tracers is statistically less significant. Weather conditions significantly influence the concentration of OT in aerosols. Among these, air temperature is a factor that affects the occurrence/existence of OT in the atmosphere, while temperature inversions are the main phenomenon which determines elevated concentrations of pollutants and their vertical variation in ambient air. For example, the concentration of BB tracers can be twice as high at 4 m as at 100 m under moderate to strong temperature inversions associated with low wind speed. Water vapor pressure and sun irradiation are also important factors controlling OT concentrations. This is one of the first studies of vertical differences in organic tracers which presents the variability and complexity of the processes affecting their concentrations in ambient air. © 2020 Elsevier Ltd},
note = {7},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
PM10 samples collected over one year from the city of Sosnowiec, part of the Upper Silesia metropolis were studied. The locale was a gradient meteorological station, 4 m and 100 m above ground. The dominant compounds identified were anhydro-, mono- and disaccharides which were divided into three groups of organic tracers (OT): biomass burning (BB) including low-rank coal burning, pollen grains (PG) and fungal spores (FS). The BB group included: levoglucosan, mannosan and galactosan, complemented with vanillic and dehydroabietic acids. The PG group included: fructose, glucose and sucrose, supplemented with D-pinitol, and the FS tracers included: arabitol, mannitol and trehalose. Levoglucosan reached 1503 ng/m3 in heating season at 4 m and 983 ng/m3 at 100 m. These values are among the highest mean concentrations of levoglucosan reported in Europe, confirming severe pollution of the Upper Silesian urban environment. We also suggest that the significant levoglucosan levels during the non-heating seasons could be from wind advected polluted soil and dust. All FS tracers correlate well with fungal spore counts, while the correlation of pollen numbers with their typical molecular tracers is statistically less significant. Weather conditions significantly influence the concentration of OT in aerosols. Among these, air temperature is a factor that affects the occurrence/existence of OT in the atmosphere, while temperature inversions are the main phenomenon which determines elevated concentrations of pollutants and their vertical variation in ambient air. For example, the concentration of BB tracers can be twice as high at 4 m as at 100 m under moderate to strong temperature inversions associated with low wind speed. Water vapor pressure and sun irradiation are also important factors controlling OT concentrations. This is one of the first studies of vertical differences in organic tracers which presents the variability and complexity of the processes affecting their concentrations in ambient air. © 2020 Elsevier Ltd
2019
Kubik-Komar, A.; Piotrowska-Weryszko, K.; Weryszko-Chmielewska, E.; Kuna-Broniowska, I.; Chłopek, K.; Myszkowska, D.; Puc, M.; Rapiejko, P.; Ziemianin, M.; Dąbrowska-Zapart, K.; Lipiec, A.
A study on the spatial and temporal variability in airborne Betula pollen concentration in five cities in Poland using multivariate analyses Journal Article
In: Science of the Total Environment, vol. 660, pp. 1070-1078, 2019, ISSN: 00489697, (13).
@article{2-s2.0-85059907505,
title = {A study on the spatial and temporal variability in airborne Betula pollen concentration in five cities in Poland using multivariate analyses},
author = { A. Kubik-Komar and K. Piotrowska-Weryszko and E. Weryszko-Chmielewska and I. Kuna-Broniowska and K. Chłopek and D. Myszkowska and M. Puc and P. Rapiejko and M. Ziemianin and K. Dąbrowska-Zapart and A. Lipiec},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059907505&doi=10.1016%2fj.scitotenv.2019.01.098&partnerID=40&md5=b1edac17e21babc3882dd99b6140302c},
doi = {10.1016/j.scitotenv.2019.01.098},
issn = {00489697},
year = {2019},
date = {2019-01-01},
journal = {Science of the Total Environment},
volume = {660},
pages = {1070-1078},
publisher = {Elsevier B.V.},
abstract = {During the spring period, Betula pollen is the main cause of inhalant allergies in Poland and therefore it is important to monitor and forecast airborne pollen concentrations of this taxon. This study conducted a comparative analysis of the basic characteristics of Betula pollen seasons at the regional scale. The study was carried out from 2001 to 2016 in five cities in Poland: Lublin, Warsaw, Cracow, Sosnowiec, and Szczecin. To find the attributes of birch pollen seasons that mostly differentiated the individual cities, a general discriminant analysis (GDA) was performed, while a principal component analysis (PCA) allowed us to reduce the data space and present a scatterplot of PCA scores in order to compare pollen seasons in the individual cities. The contingency table was also analyzed to check whether there was a significant relationship between pollen counts in the studied years and cities. At most of the sites, biennial cycles of low and high pollen concentrations can be observed. Due to the high variation in seasons in each of these cities, two data groups were distinguished: Group 1 was composed of seasons with high pollen deposition (2001; 2003; 2006; 2008; 2010; 2012; 2014; 2016), and Group 2 comprising the other seasons. Multivariate analyses were performed on both these groups as well as in the entire dataset. End98, Peak Value, and Annual Total had the highest discriminant power. In Group 1, Warsaw and Sosnowiec differed the most in the investigated parameters, while Cracow and Szczecin differed the least. In both groups, most seasons with the highest pollen birch concentration were observed in Lublin, followed by Warsaw, while in Cracow, the number of such seasons was the smallest. © 2019},
note = {13},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
During the spring period, Betula pollen is the main cause of inhalant allergies in Poland and therefore it is important to monitor and forecast airborne pollen concentrations of this taxon. This study conducted a comparative analysis of the basic characteristics of Betula pollen seasons at the regional scale. The study was carried out from 2001 to 2016 in five cities in Poland: Lublin, Warsaw, Cracow, Sosnowiec, and Szczecin. To find the attributes of birch pollen seasons that mostly differentiated the individual cities, a general discriminant analysis (GDA) was performed, while a principal component analysis (PCA) allowed us to reduce the data space and present a scatterplot of PCA scores in order to compare pollen seasons in the individual cities. The contingency table was also analyzed to check whether there was a significant relationship between pollen counts in the studied years and cities. At most of the sites, biennial cycles of low and high pollen concentrations can be observed. Due to the high variation in seasons in each of these cities, two data groups were distinguished: Group 1 was composed of seasons with high pollen deposition (2001; 2003; 2006; 2008; 2010; 2012; 2014; 2016), and Group 2 comprising the other seasons. Multivariate analyses were performed on both these groups as well as in the entire dataset. End98, Peak Value, and Annual Total had the highest discriminant power. In Group 1, Warsaw and Sosnowiec differed the most in the investigated parameters, while Cracow and Szczecin differed the least. In both groups, most seasons with the highest pollen birch concentration were observed in Lublin, followed by Warsaw, while in Cracow, the number of such seasons was the smallest. © 2019
2018
Dąbrowska-Zapart, K.; Chłopek, K.; Niedźwiedź, T.
The impact of meteorological conditions on the concentration of alder pollen in Sosnowiec (Poland) in the years 1997–2017 Journal Article
In: Aerobiologia, vol. 34, no. 4, pp. 469-485, 2018, ISSN: 03935965, (9).
@article{2-s2.0-85048369073,
title = {The impact of meteorological conditions on the concentration of alder pollen in Sosnowiec (Poland) in the years 1997–2017},
author = { K. Dąbrowska-Zapart and K. Chłopek and T. Niedźwiedź},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048369073&doi=10.1007%2fs10453-018-9524-8&partnerID=40&md5=293febc5131ac52cd8982e4e14cb009f},
doi = {10.1007/s10453-018-9524-8},
issn = {03935965},
year = {2018},
date = {2018-01-01},
journal = {Aerobiologia},
volume = {34},
number = {4},
pages = {469-485},
publisher = {Springer Netherlands},
abstract = {The aim of the work was to compare the alder pollen seasons in the years 1997–2017 in Sosnowiec. The measurements of pollen concentration were taken with the volumetric method using Burkard’s apparatus. The impact of atmospheric conditions on the daily alder pollen grain concentration, the annual totals, and the duration of pollen seasons were studied. The dependency between each meteorological condition and different features of the alder pollen season was determined by using Pearson’s correlation coefficients, variance analysis with multiple comparison tests, and the linear regression model using backward elimination. It was proven that the temperatures directly preceding the pollination, i.e. the January and February temperatures as well as those from the period from 210 to 180 days preceding the beginning of the season, have the greatest impact on the beginning of the alder pollen season. The value of the daily alder pollen concentration in Sosnowiec showed a positive statistically significant correlation with the air temperature and sunshine duration and a negative correlation with the thickness of the snow cover and air relative humidity. The daily concentration also depended on the type of the weather front, direction of air mass inflow, and the type of the inflowing air mass. The season temperatures and the thermal conditions which were present in the summer of the preceding year impacted the annual totals (SPI) of the alder pollen grains. © 2018, The Author(s).},
note = {9},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The aim of the work was to compare the alder pollen seasons in the years 1997–2017 in Sosnowiec. The measurements of pollen concentration were taken with the volumetric method using Burkard’s apparatus. The impact of atmospheric conditions on the daily alder pollen grain concentration, the annual totals, and the duration of pollen seasons were studied. The dependency between each meteorological condition and different features of the alder pollen season was determined by using Pearson’s correlation coefficients, variance analysis with multiple comparison tests, and the linear regression model using backward elimination. It was proven that the temperatures directly preceding the pollination, i.e. the January and February temperatures as well as those from the period from 210 to 180 days preceding the beginning of the season, have the greatest impact on the beginning of the alder pollen season. The value of the daily alder pollen concentration in Sosnowiec showed a positive statistically significant correlation with the air temperature and sunshine duration and a negative correlation with the thickness of the snow cover and air relative humidity. The daily concentration also depended on the type of the weather front, direction of air mass inflow, and the type of the inflowing air mass. The season temperatures and the thermal conditions which were present in the summer of the preceding year impacted the annual totals (SPI) of the alder pollen grains. © 2018, The Author(s).
Nowosad, J.; Stach, A.; Kasprzyk, I.; Chłopek, K.; Dąbrowska-Zapart, K.; Grewling, Ł.; Latałowa, M.; Pędziszewska, A.; Majkowska-Wojciechowska, B.; Myszkowska, D.; Piotrowska-Weryszko, K.; Weryszko-Chmielewska, E.; Puc, M.; Rapiejko, P.; Stosik, T.
Statistical techniques for modeling of Corylus, Alnus, and Betula pollen concentration in the air Journal Article
In: Aerobiologia, vol. 34, no. 3, pp. 301-313, 2018, ISSN: 03935965, (9).
@article{2-s2.0-85045463646,
title = {Statistical techniques for modeling of Corylus, Alnus, and Betula pollen concentration in the air},
author = { J. Nowosad and A. Stach and I. Kasprzyk and K. Chłopek and K. Dąbrowska-Zapart and Ł. Grewling and M. Latałowa and A. Pędziszewska and B. Majkowska-Wojciechowska and D. Myszkowska and K. Piotrowska-Weryszko and E. Weryszko-Chmielewska and M. Puc and P. Rapiejko and T. Stosik},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045463646&doi=10.1007%2fs10453-018-9514-x&partnerID=40&md5=6f2ad5a37465bac5fec6c5475192be16},
doi = {10.1007/s10453-018-9514-x},
issn = {03935965},
year = {2018},
date = {2018-01-01},
journal = {Aerobiologia},
volume = {34},
number = {3},
pages = {301-313},
publisher = {Springer Netherlands},
abstract = {Prediction of allergic pollen concentration is one of the most important goals of aerobiology. Past studies have used a broad range of modeling techniques; however, the results cannot be directly compared owing to the use of different datasets, validation methods, and evaluation metrics. The main aim of this study was to compare nine statistical modeling techniques using the same dataset. An additional goal was to assess the importance of predictors for the best model. Aerobiological data for Corylus, Alnus, and Betula pollen counts were obtained from nine cities in Poland and covered between five and 16 years of measurements. Meteorological data from the AGRI4CAST project were used as a predictor variables. The results of 243 final models (3 taxa × 9 cities × 9 techniques) were validated using a repeated k-fold cross-validation and compared using relative and absolute performance statistics. Afterward, the variable importance of predictors in the best models was calculated and compared. Simple models performed poorly. On the other hand, regression trees and rule-based models proved to be the most accurate for all of the taxa. Cumulative growing degree days proved to be the single most important predictor variable in the random forest models of Corylus, Alnus, and Betula. Finally, the study suggested potential improvements in aerobiological modeling, such as the application of robust cross-validation techniques and the use of gridded variables. © 2018, Springer Science+Business Media B.V., part of Springer Nature.},
note = {9},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Prediction of allergic pollen concentration is one of the most important goals of aerobiology. Past studies have used a broad range of modeling techniques; however, the results cannot be directly compared owing to the use of different datasets, validation methods, and evaluation metrics. The main aim of this study was to compare nine statistical modeling techniques using the same dataset. An additional goal was to assess the importance of predictors for the best model. Aerobiological data for Corylus, Alnus, and Betula pollen counts were obtained from nine cities in Poland and covered between five and 16 years of measurements. Meteorological data from the AGRI4CAST project were used as a predictor variables. The results of 243 final models (3 taxa × 9 cities × 9 techniques) were validated using a repeated k-fold cross-validation and compared using relative and absolute performance statistics. Afterward, the variable importance of predictors in the best models was calculated and compared. Simple models performed poorly. On the other hand, regression trees and rule-based models proved to be the most accurate for all of the taxa. Cumulative growing degree days proved to be the single most important predictor variable in the random forest models of Corylus, Alnus, and Betula. Finally, the study suggested potential improvements in aerobiological modeling, such as the application of robust cross-validation techniques and the use of gridded variables. © 2018, Springer Science+Business Media B.V., part of Springer Nature.
2015
Myszkowska, D.; Piotrowicz, K.; Ziemianin, M.; Chłopek, K.; Dąbrowska-Zapart, K.; Kasprzyk, I.; Grewling, Ł.; Majkowska-Wojciechowska, B.; Malkiewicz, M.; Nowak, M.; Piotrowska-Weryszko, K.; Puc, M.; Weryszko-Chmielewska, E.
Grass pollen seasons in Poland against a background of the meteorological conditions Journal Article
In: Acta Agrobotanica, vol. 68, no. 4, pp. 357-365, 2015, ISSN: 00650951, (3).
@article{2-s2.0-84955256858,
title = {Grass pollen seasons in Poland against a background of the meteorological conditions},
author = { D. Myszkowska and K. Piotrowicz and M. Ziemianin and K. Chłopek and K. Dąbrowska-Zapart and I. Kasprzyk and Ł. Grewling and B. Majkowska-Wojciechowska and M. Malkiewicz and M. Nowak and K. Piotrowska-Weryszko and M. Puc and E. Weryszko-Chmielewska},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84955256858&doi=10.5586%2faa.2015.038&partnerID=40&md5=fe3fc50313d642f3b8d4175f70cd305a},
doi = {10.5586/aa.2015.038},
issn = {00650951},
year = {2015},
date = {2015-01-01},
journal = {Acta Agrobotanica},
volume = {68},
number = {4},
pages = {357-365},
publisher = {Polish Botanical Society},
abstract = {The paper refers to the estimation of Poaceae pollen seasons in Poland in selected areas. The aim of the study was to present the long-term variability of the start, end and duration of grass pollen seasons and the seasonal pollen index (SPI) in Poland against a background of the meteorological conditions over pollen seasons. The study was performed in eight Polish cities in 1992-2014 (the common seasons were 2003-2012). Pollen season start was relatively stable in the studied period, the seasons began about the 10th of May, a bit earlier in the south part of Poland. Pollen season ends were more changeable in comparison to the season start and fluctuated from the middle of July to the middle of September. SPI clearly depended on temperature and precipitation in April-August. Daily maximum pollen concentrations were achieved between the end of May and the first decade of July and no evident relationship between this day and weather conditions was found, apart from 2004. © The Author(s) 2015.},
note = {3},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The paper refers to the estimation of Poaceae pollen seasons in Poland in selected areas. The aim of the study was to present the long-term variability of the start, end and duration of grass pollen seasons and the seasonal pollen index (SPI) in Poland against a background of the meteorological conditions over pollen seasons. The study was performed in eight Polish cities in 1992-2014 (the common seasons were 2003-2012). Pollen season start was relatively stable in the studied period, the seasons began about the 10th of May, a bit earlier in the south part of Poland. Pollen season ends were more changeable in comparison to the season start and fluctuated from the middle of July to the middle of September. SPI clearly depended on temperature and precipitation in April-August. Daily maximum pollen concentrations were achieved between the end of May and the first decade of July and no evident relationship between this day and weather conditions was found, apart from 2004. © The Author(s) 2015.
Puc, M.; Wolski, T.; Camacho, I. C.; Myszkowska, D.; Kasprzyk, I.; Grewling, Ł.; Nowak, M.; Weryszko-Chmielewska, E.; Piotrowska-Weryszko, K.; Chłopek, K.; Dąbrowska-Zapart, K.; Majkowska-Wojciechowska, B.; Balwierz, Z.; Malkiewicz, M.; Grinn-Gofroń, A.; Stacewicz, A.; Kruczek, A.; Borycka, K.
Fluctuation of birch (Betula L.) pollen seasons in Poland Journal Article
In: Acta Agrobotanica, vol. 68, no. 4, pp. 303-313, 2015, ISSN: 00650951, (15).
@article{2-s2.0-84955246690,
title = {Fluctuation of birch (Betula L.) pollen seasons in Poland},
author = { M. Puc and T. Wolski and I.C. Camacho and D. Myszkowska and I. Kasprzyk and Ł. Grewling and M. Nowak and E. Weryszko-Chmielewska and K. Piotrowska-Weryszko and K. Chłopek and K. Dąbrowska-Zapart and B. Majkowska-Wojciechowska and Z. Balwierz and M. Malkiewicz and A. Grinn-Gofroń and A. Stacewicz and A. Kruczek and K. Borycka},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84955246690&doi=10.5586%2faa.2015.041&partnerID=40&md5=707757cc91e3b0add4435aaa8f450884},
doi = {10.5586/aa.2015.041},
issn = {00650951},
year = {2015},
date = {2015-01-01},
journal = {Acta Agrobotanica},
volume = {68},
number = {4},
pages = {303-313},
publisher = {Polish Botanical Society},
abstract = {Birch pollen grains are one of the most important groups of atmospheric biological particles that induce allergic processes. The fluctuation pattern of birch pollen seasons in selected cities of poland is presented. Measurements were performed by the volumetric method (burkard and lanzoni 2000 pollen samplers). The distributions of the data were not normal (shapiro-wilk test) and statistical error risk was estimated at a significance level of α=0.05. pollen season was defined as the period in which 95% of the annual total catch occurred. The linear trend for the selected features of the pollen season, skewness, kurtosis and coefficient of variation (V%) were also analyzed. during the 12-14 years of study, the beginnings of birch pollen seasons were observed 7-14 days earlier, the ends were noted 5-10 days earlier, and the days with maximum values occurred 7-14 days earlier compared to the long-term data. The left-skewed distribution of the pollen season starts in most sampling sites confirms the short-lasting occurrence of pollen in the air. The threat of birch pollen allergens was high during the pollen seasons. If vegetation is highly diverse, flowering and pollen release are extended in time, spread over different weeks and occur at different times of the day. Flowering time and pollen release are affected by insolation, convection currents, wind, and turbulence. therefore, pollen seasons are characterized by great inter-annual variability. © The Author(s) 2015.},
note = {15},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Birch pollen grains are one of the most important groups of atmospheric biological particles that induce allergic processes. The fluctuation pattern of birch pollen seasons in selected cities of poland is presented. Measurements were performed by the volumetric method (burkard and lanzoni 2000 pollen samplers). The distributions of the data were not normal (shapiro-wilk test) and statistical error risk was estimated at a significance level of α=0.05. pollen season was defined as the period in which 95% of the annual total catch occurred. The linear trend for the selected features of the pollen season, skewness, kurtosis and coefficient of variation (V%) were also analyzed. during the 12-14 years of study, the beginnings of birch pollen seasons were observed 7-14 days earlier, the ends were noted 5-10 days earlier, and the days with maximum values occurred 7-14 days earlier compared to the long-term data. The left-skewed distribution of the pollen season starts in most sampling sites confirms the short-lasting occurrence of pollen in the air. The threat of birch pollen allergens was high during the pollen seasons. If vegetation is highly diverse, flowering and pollen release are extended in time, spread over different weeks and occur at different times of the day. Flowering time and pollen release are affected by insolation, convection currents, wind, and turbulence. therefore, pollen seasons are characterized by great inter-annual variability. © The Author(s) 2015.
2011
Chłopek, K.; Dąbrowska-Zapart, K.
Characteristics of grass pollen seasons in Sosnowiec, 1997-2009 [Charakterystyka sezonów pyłkowych traw w Sosnowcu w latach 1997-2009] Journal Article
In: Fragmenta Floristica et Geobotanica Polonica, vol. 18, no. 2, pp. 387-396, 2011, ISSN: 1640629X.
@article{2-s2.0-84856347130,
title = {Characteristics of grass pollen seasons in Sosnowiec, 1997-2009 [Charakterystyka sezonów pyłkowych traw w Sosnowcu w latach 1997-2009]},
author = { K. Chłopek and K. Dąbrowska-Zapart},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84856347130&partnerID=40&md5=805c04ee2668b2af72ea99a98dc30195},
issn = {1640629X},
year = {2011},
date = {2011-01-01},
journal = {Fragmenta Floristica et Geobotanica Polonica},
volume = {18},
number = {2},
pages = {387-396},
abstract = {The paper presents the results of the analysis of grass pollen seasons in Sosnowiec in 1997-2009. The aim of this study was to compare the grass pollen seasons in relation to meteorological conditions. Measurements were performed by means of the volumetric method using a Burkard spore trap. Pollen season was defined as the period in which 98% of the annual total catch occurred. To investigate the influence of meteorological conditions on the different characteristics of the pollen seasons Spearman coefficients were used. The earliest start of the season was recorded in 1999 and 2000 and the latest one in 1997. The beginning of the grass pollen season was influenced by minimum, maximum and mean temperature in March and April. The average length of pollen season was 137 days. The longest pollen seasons, which lasted 154 days were recorded in 1998 and 2001 and the shortest one in 2003 (123 days). Maximum daily pollen concentrations ranged from 101 pollen grains per m -3 air in 1998 to 495 pollen grains per m 3 air in 2000. The concentration of pollen grains showed a positive correlation with air temperature and insolation, and negative with relative humidity and precipitation. Daily pollen concentrations also depended on wind direction.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The paper presents the results of the analysis of grass pollen seasons in Sosnowiec in 1997-2009. The aim of this study was to compare the grass pollen seasons in relation to meteorological conditions. Measurements were performed by means of the volumetric method using a Burkard spore trap. Pollen season was defined as the period in which 98% of the annual total catch occurred. To investigate the influence of meteorological conditions on the different characteristics of the pollen seasons Spearman coefficients were used. The earliest start of the season was recorded in 1999 and 2000 and the latest one in 1997. The beginning of the grass pollen season was influenced by minimum, maximum and mean temperature in March and April. The average length of pollen season was 137 days. The longest pollen seasons, which lasted 154 days were recorded in 1998 and 2001 and the shortest one in 2003 (123 days). Maximum daily pollen concentrations ranged from 101 pollen grains per m -3 air in 1998 to 495 pollen grains per m 3 air in 2000. The concentration of pollen grains showed a positive correlation with air temperature and insolation, and negative with relative humidity and precipitation. Daily pollen concentrations also depended on wind direction.