Real-time automatic detection of starch particles in ambient air

•Quantification of starch in ambient air by laser spectroscopy bioaerosol monitoring.•Insights into atmospheric processes via high temporal resolution data.•Identification of sources of airborne particles.•Notable amounts of airborne starch are related to cereal grain storage facilities. Considerabl...

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Veröffentlicht in:Agricultural and forest meteorology 2022-08, Vol.323, p.109034-109034, Article 109034
Hauptverfasser: Šikoparija, Branko, Matavulj, Predrag, Mimić, Gordan, Smith, Matt, Grewling, Łukasz, Podraščanin, Zorica
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container_start_page 109034
container_title Agricultural and forest meteorology
container_volume 323
creator Šikoparija, Branko
Matavulj, Predrag
Mimić, Gordan
Smith, Matt
Grewling, Łukasz
Podraščanin, Zorica
description •Quantification of starch in ambient air by laser spectroscopy bioaerosol monitoring.•Insights into atmospheric processes via high temporal resolution data.•Identification of sources of airborne particles.•Notable amounts of airborne starch are related to cereal grain storage facilities. Considerable amounts of starch granules can be present in the atmosphere from both natural and anthropogenic sources. The aim of this study is to investigate the variability and potential origin of starch granules in ambient air recorded at six cities situated in a region with dominantly agricultural land use. This is achieved by using a combination of laser spectroscopy bioaerosol measurements with 1 min temporal resolution, traditional volumetric Hirst type bioaerosol sampling and atmospheric modelling. The analysis of wind roses identified potential sources of airborne starch (i.e., cereal grain storage facilities) in the vicinity of all aerobiological stations analysed in this study. The analysis of the CALPUFF dispersion model confirmed that emission of dust from the location of storage towers situated about 2.5 km north of the aerobiological station in Novi Sad is a plausible source of high airborne concentrations of starch granules. This study is important for environmental health since it contributes body of knowledge about sources, emission, and dispersion of airborne starch, known to be involved in phenomena such as thunderstorm-triggered asthma. The presented approach integrates monitoring and modelling, and provides a roadmap for examining a variety of bioaerosols previously considered to be outside the scope of traditional aerobiological measurements. [Display omitted]
doi_str_mv 10.1016/j.agrformet.2022.109034
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Considerable amounts of starch granules can be present in the atmosphere from both natural and anthropogenic sources. The aim of this study is to investigate the variability and potential origin of starch granules in ambient air recorded at six cities situated in a region with dominantly agricultural land use. This is achieved by using a combination of laser spectroscopy bioaerosol measurements with 1 min temporal resolution, traditional volumetric Hirst type bioaerosol sampling and atmospheric modelling. The analysis of wind roses identified potential sources of airborne starch (i.e., cereal grain storage facilities) in the vicinity of all aerobiological stations analysed in this study. The analysis of the CALPUFF dispersion model confirmed that emission of dust from the location of storage towers situated about 2.5 km north of the aerobiological station in Novi Sad is a plausible source of high airborne concentrations of starch granules. 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source Elsevier ScienceDirect Journals
subjects Aerobiology
agricultural land
air
Airborne starch
asthma
automatic detection
Automatic monitoring
bioaerosols
Dispersion modelling
dust
Emission sources
environmental health
forests
land use
meteorology
spectroscopy
title Real-time automatic detection of starch particles in ambient air
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