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Prof. Dr. Michaël Sicard

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CommSensLab, Dept. of Signal Theory and Communications, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain
Interests: optical remote sensing; remote sensing; lidar; optics; aerosols; mineral dust; pollen; aerosol-cloud interactions; radiative forcing; shortwave; longwave; satellite sensors; transport modeling
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Dr. Jordina Belmonte

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Institut de Ciència i Tecnologia Ambientals, ICTA-UAB and Botany Unit, Department of Animal Biology, Plant Biology and Ecology C Building, C1-219 Office, Universitat Autònoma de Barcelona 08193 Bellaterra (Cerdanyola del Vallès, Barcelona), Spain
Interests: aerobiology; pollen; fungal spores; allergens; allergies; atmospheric transport; climate change; public health; phytopathology

Prof. Dr. Mikhail A. Sofiev

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Finnish Meteorological Institute, Atmospheric Composition Research, Erik Palminen Aukio 1, 00560 Helsinki, Finland
Interests: model development; verification and comparison with measurements; data assimilation; statistical methodology for model validation; analysis of the measurement data; inverse and adjoint dispersion modeling; computer experiments
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Biogenic aerosols play a vital yet poorly understood role in the physical processes of the atmosphere, interactions with clouds, and climate forcing. Pollen and fungus allergenicity has adverse effects on human health and wellness. The transport of biogenic aerosols facilitates gene dispersion and can prove to be a significant factor in vegetation adaptation to climate change. It is thus of great public and scientific interest to increase our knowledge of bioaerosol behaviour in the atmosphere (sources, emissions, the processes involved during transport, etc.). This Special Issue of Remote Sensing on atmospheric bioaerosols should address all topics related to their detection in the atmosphere (from the surface up into the atmospheric column) in order to improve our understanding of the release and dispersion of these aerosol types. Transport and forecast modelling exercises of their dispersion on local and/or large scales, including observations, are also appropriate.

Dr. Michaël Sicard
Dr. Jordina Belmonte
Prof. Mikhail Sofiev
Guest Editors

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Keywords

Remote sensing
Airborne Pollen And Fungi
Atmospheric Release
Atmospheric Dispersion
Forecast
Transport

Published Papers (2 papers)

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Research

29 pages, 10607 KiB

Open AccessArticle

Variability and Geographical Origin of Five Years Airborne Fungal Spore Concentrations Measured at Saclay, France from 2014 to 2018

by Roland Sarda-Estève, Dominique Baisnée, Benjamin Guinot, John Sodeau, David O’Connor, Jordina Belmonte, Jean-Pierre Besancenot, Jean-Eudes Petit, Michel Thibaudon, Gilles Oliver, Charlotte Sindt and Valérie Gros

Remote Sens. 2019, 11(14), 1671; https://doi.org/10.3390/rs11141671 - 13 Jul 2019

Cited by 16 | Viewed by 3440

Abstract

Airborne fungal spores (AFS) represent the major fraction of primary biological aerosol particles (PBAPs), and they are studied worldwide largely due to their important role within the Earth system. They have an impact on climate and human health, and they contribute to the propagation of diseases. As their presence in the air depends largely on studied ecosystems, a spore trap was used to monitor their atmospheric concentrations from 2014 to December 2018 in Saclay, a suburban area in the megacity of Paris. The main objective of this work was: (1) to understand the atmospheric variability of AFS in relation to different variables such as meteorological factors, agricultural practice, and (2) to identify their geographical origin by using a source receptor model. During our period of observation, 30 taxa have been identified under a light microscope. In order of importance, Ascospores, Cladosporium, Basidiospores, Tilletiopsis, Alternaria were found to be the most abundant types respectively (50.8%, 33.6%, 7.6%, 1.8%, and 1.3%) accounting for 95% of the atmospheric concentrations. We observed a general decrease associated with a strong interannual variability. A bimodal seasonal cycle was identified with a first maximum in July and a second in October. The main parameters driving the atmospheric concentration are temperature and precipitation. The daily variability is strongly activated by successive periods of hot weather and rainfall, multiplying the concentration by a factor of 1000 in less than 12 hours. Results from the source receptor model ZeFir point out unambiguous different origins of AFS due to specific sources impacting the observation site. Our study also indicated that a hydrological stress has a direct effect on the daily concentrations. This last point should be taken into account for every stressed ecosystem studied in a global warming context. This is particularly important for Mediterranean areas where water is a key control of the growth and dispersion of fungal spores. Full article

(This article belongs to the Special Issue Atmospheric Pollen/Fungus Remote Sensing)

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23 pages, 12440 KiB

Open AccessArticle

Temporal Variability and Geographical Origins of Airborne Pollen Grains Concentrations from 2015 to 2018 at Saclay, France

by Roland Sarda Estève, Dominique Baisnée, Benjamin Guinot, Jean-Eudes Petit, John Sodeau, David O’Connor, Jean-Pierre Besancenot, Michel Thibaudon and Valérie Gros

Remote Sens. 2018, 10(12), 1932; https://doi.org/10.3390/rs10121932 - 01 Dec 2018

Cited by 12 | Viewed by 3697

Abstract

The study of the origin and dispersion processes associated with airborne pollen grains are important to understand due to their impacts on health. In this context, a Hirst-type spore trap was utilized over the period 2015–2018 to monitor ambient pollen grains at Saclay, France, a receptor site influenced by both clean air masses originating from the Atlantic Ocean and polluted air masses under anticyclonic conditions. The objective of this work was to use ZeFir (a user-friendly, software tool recently-developed to investigate the geographical origin and point sources of atmospheric pollution) as a method to analyse total and allergenic airborne pollen grain concentrations. Strong interannual variability was exhibited for the total pollen grains concentrations and it was determined that this was mainly driven by Betulaceae pollen, with a general increasing trend displayed. The start of the pollen season was seen to be triggered by particular synoptic conditions after a period of dormancy and two maximums were displayed, one in April and a second in June. Results from the ZeFir tool, fed with on-site hourly meteorological and pollen measurements, demonstrate that the dominant pollen grains inputs to Saclay are favoured by non-prevailing winds originating from East and North in association with dry air, moderate winds, mild temperature and enhanced insolation. Full article

(This article belongs to the Special Issue Atmospheric Pollen/Fungus Remote Sensing)

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