Influence of Meteorological Variables and Air Pollutants on Measurements from Automatic Pollen Sampling Devices

21 Pages Posted: 26 Dec 2023

See all articles by Monica Gonzalez-Alonso

Monica Gonzalez-Alonso

Technische Universität München (TUM) - Center of Allergy and Environment (ZAUM)

Jose Oteros

Cordoba University

Magda Widmann

affiliation not provided to SSRN

José M. Maya-Manzano

University of Extremadura

Carsten Ambelas Skjøth

affiliation not provided to SSRN

Dr. Łukasz Grewling

affiliation not provided to SSRN

David O´Connor

affiliation not provided to SSRN

Mikhail Sofiev

Government of the Republic of Finland - Finnish Meteorological Institute

Fiona Tummon

affiliation not provided to SSRN

Benoit Crouzy

affiliation not provided to SSRN

Jeroen Buters

Technische Universität München (TUM) - Center of Allergy and Environment (ZAUM)

Evgeny Kadantsev

Government of the Republic of Finland - Finnish Meteorological Institute

yulia Palamarchuck

Government of the Republic of Finland - Finnish Meteorological Institute

Moisés Martínez-Bracero

Dublin City University

Francis Pope

University of Birmingham

Sophie A. Mills

University of Birmingham

Branko Sikoparija

affiliation not provided to SSRN

Pedrag Matavuli

affiliation not provided to SSRN

Carsten Schmidt-Weber

Technische Universität München (TUM) - Center of Allergy and Environment (ZAUM)

Pia Ørby

affiliation not provided to SSRN

Abstract

This study examines the influence of meteorological factors and air pollutants on the performance of automatic pollen monitoring devices, as part of the EUMETNET Autopollen COST ADOPT-intercomparison campaign held in Munich, Germany, during the 2021 pollen season. The campaign offered a unique opportunity to compare all automatic monitors available at the time, a Plair Rapid-E, a Hund-Wetzlar BAA500, an OPC Alphasense, a KH-3000 Yamatronics, three Swisens Polenos, a PollenSense APS, an IBAC2, a WIBS, a Sextant, and to the average of four manual Hirst traps, under the same environmental conditions. The investigation aimed to elucidate how meteorological factors and air pollution impact particle capture and identification efficiency.The analysis showed coherent results for most devices regarding the correlation between environmental conditions and pollen concentrations. This reflects on one hand, a significant correlation between weather and airborne pollen concentration, and on the other hand the capability of devices to provide meaningful data under the conditions the measurements were taken. However, correlation strength varied among devices, reflecting differences in design, algorithms, or sensors used. Additionally, it was observed that different algorithms applied to the same dataset resulted in different concentration outputs, highlighting the role of algorithm design in these systems (monitor + algorithm).Notably, no significant influence from air pollutants on the pollen concentrations was observed, suggesting that any potential difference in effect on the systems might require higher air pollution concentrations or more complex interactions. However, results from some monitors were affected to a minor degree by specific weather variables.Our findings suggest that the application of real-time devices in urban environments should focus on the associated algorithm that classifies pollen taxa. The impact of air pollution, although not to be excluded, is of secondary concern as long as the pollution levels are similar to a large European city like Munich.

Keywords: automatic pollen sampling, Environmental conditions, air pollutants, weather

Suggested Citation

Gonzalez-Alonso, Monica and Oteros, Jose and Widmann, Magda and Maya-Manzano, José M. and Skjøth, Carsten Ambelas and Grewling, Dr. Łukasz and O´Connor, David and Sofiev, Mikhail and Tummon, Fiona and Crouzy, Benoit and Buters, Jeroen and Kadantsev, Evgeny and Palamarchuck, yulia and Martínez-Bracero, Moisés and Pope, Francis and Mills, Sophie A. and Sikoparija, Branko and Matavuli, Pedrag and Schmidt-Weber, Carsten and Ørby, Pia, Influence of Meteorological Variables and Air Pollutants on Measurements from Automatic Pollen Sampling Devices. Available at SSRN: https://ssrn.com/abstract=4676253 or http://dx.doi.org/10.2139/ssrn.4676253

Monica Gonzalez-Alonso

Technische Universität München (TUM) - Center of Allergy and Environment (ZAUM) ( email )

Jose Oteros

Cordoba University ( email )

Magda Widmann

affiliation not provided to SSRN ( email )

No Address Available

José M. Maya-Manzano

University of Extremadura ( email )

Avda de Elvas s/n
Facultad de Ciencias
Badajoz, Badajoz 06006
Spain

Carsten Ambelas Skjøth

affiliation not provided to SSRN ( email )

No Address Available

Dr. Łukasz Grewling

affiliation not provided to SSRN ( email )

No Address Available

David O´Connor

affiliation not provided to SSRN ( email )

No Address Available

Mikhail Sofiev

Government of the Republic of Finland - Finnish Meteorological Institute ( email )

P.O.Box 503
FIN-00101 Helsinki
Finland

Fiona Tummon

affiliation not provided to SSRN ( email )

No Address Available

Benoit Crouzy

affiliation not provided to SSRN ( email )

No Address Available

Jeroen Buters

Technische Universität München (TUM) - Center of Allergy and Environment (ZAUM) ( email )

Evgeny Kadantsev

Government of the Republic of Finland - Finnish Meteorological Institute ( email )

P.O.Box 503
FIN-00101 Helsinki
Finland

Yulia Palamarchuck

Government of the Republic of Finland - Finnish Meteorological Institute ( email )

P.O.Box 503
FIN-00101 Helsinki
Finland

Moisés Martínez-Bracero

Dublin City University ( email )

Ireland 9
Dublin 9, 9
Ireland

Francis Pope

University of Birmingham ( email )

Edgbaston, B15 2TT
United Kingdom

Sophie A. Mills

University of Birmingham ( email )

Edgbaston, B15 2TT
United Kingdom

Branko Sikoparija

affiliation not provided to SSRN ( email )

No Address Available

Pedrag Matavuli

affiliation not provided to SSRN ( email )

No Address Available

Carsten Schmidt-Weber

Technische Universität München (TUM) - Center of Allergy and Environment (ZAUM) ( email )

Arcisstrasse 21
Munich, 80333
Germany

Pia Ørby (Contact Author)

affiliation not provided to SSRN ( email )

No Address Available

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