On impact of transport conditions on variability of the seasonal pollen index

Sofiev, M.

doi:10.1007/s10453-016-9459-x

Cited by 46 publications

(47 citation statements)

References 58 publications

(112 reference statements)

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“…However, to date, the results of collected data, gained by automatic real-time devices, differ [10,11,17,18], and these differences may be determined not only by peculiarities of devices but also by conditions of the environment affecting identified pollen [19][20][21][22]. This fact is confirmed by scientific studies that are targeted at long-distance pollen transport analysis [23][24][25][26][27][28][29]. It is assumed that pollen suspended in the air is affected by environmental conditions (air temperature, humidity, radiation, chemical compounds), and the effect may change pollen fluorescence results (intensity, colour, etc.).…”

Section: Introductionmentioning

confidence: 87%

Detection and Microscopy of Alnus glutinosa Pollen Fluorescence Peculiarities

Šaulienė

Šukienė

Daunys

et al. 2019

Forests

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Alnus glutinosa is an important woody plant in Lithuanian forest ecosystems. Knowledge of fluorescence properties of black alder pollen is necessary for scientific and practical purposes. By the results of the study, we aimed to evaluate possibilities of identifying Alnus glutinosa pollen fluorescence properties by modeling ozone effect and applying two different fluorescence-based devices. To implement the experiments, black alder pollen was collected in a typical habitat during the annual flowering period in 2018–2019. There were three groups of experimental variants, which differed in the duration of exposure to ozone, conditions of pollen storage before the start of the experiment, and the exposure time. Data for pollen fluorescence analysis were collected using two methods. The microscopy method was used in order to evaluate the possibility of employing image analysis systems for investigation of pollen fluorescence. The second data collection method is related to an automatic device identifying pollen in real time, which uses the fluorescence method in the pollen recognition process. Data were assessed employing image analysis and principal component analysis (PCA) methods. Digital images of ozone-exposed pollen observed under the fluorescence microscope showed the change of the dominant green colour toward the blue spectrum. Meanwhile, the automatic detector detects more pollen whose fluorescence is at the blue light spectrum. It must be noted that assessing pollen fluorescence several months after exposure to ozone, no effect of ozone on fluorescence remains.

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Section: Introductionmentioning

confidence: 87%

Detection and Microscopy of Alnus glutinosa Pollen Fluorescence Peculiarities

Šaulienė

Šukienė

Daunys

et al. 2019

Forests

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show abstract

“…However, to date, the results of collected data, gained by automatic real-time devices, differ [10][11][17][18], and these differences may be determined not only by peculiarities of devices but also by conditions of the environment affecting identified pollen [19][20][21][22]. This fact is confirmed by scientific studies that are targeted at the long-distance pollen transport analysis [23][24][25][26][27][28][29]. It is assumed that pollen suspending in the air are affected by environmental conditions (air temperature, humidity, radiation, chemical compounds) and the effect may change pollen fluorescence results (intensity, colour, etc.).…”

Section: Introductionmentioning

confidence: 94%

Detection and Microscopy of <em>Alnus glutinosa</em> Pollen Fluorescence Peculiarities

Šaulienė¹,

Šukienė²,

Daunys³

et al. 2019

Preprint

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Alnus glutinosa is important woody plant in Lithuanian forest ecosystems. Knowledge of fluorescence properties of black alder pollen is necessary for scientific and practical purposes. By the results of the study we aimed to evaluate possibilities of identifying Alnus glutinosa pollen fluorescence properties by modeling ozone effect and applying two different fluorescence-based devices. To implement experiments, black alder pollen was collected in a typical habitat during the annual flowering period in 2018-2019. There were three groups of experimental variants, which differed in the duration of exposure to ozone, conditions of pollen storage before the start of the experiment, and the experiment start time. Data for pollen fluorescence analysis were collected using two methods. The microscopy method was used in order to evaluate the possibility of employing image analysis systems for investigation of pollen fluorescence. The second data collection method is related to the automatic device identifying pollen in real-time, which uses the fluorescence method in the pollen recognition process. Data were assessed employing image analysis and principal component analysis (PCA) methods. Digital images of ozone-exposed pollen observed under the fluorescence microscope showed the change of the dominant green colour towards the blue spectrum. Meanwhile, the automatic detector detects more pollen whose fluorescence is at the blue light spectrum. It must be noted that assessing pollen fluorescence several months after exposure to ozone, no effect of ozone on fluorescence remains.

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“…Studies of pollen have focused on those taxa with a high allergenic burden, which differs depending on region. In Europe, birch tree pollen is the major allergen and has been the focus of intense research activity Sofiev et al, 2013;Siljamo et al, 2007;Sofiev et al, 2006). However, birch is not common in Australia.…”

Section: Introductionmentioning

confidence: 99%

Development and evaluation of pollen source methodologies for the Victorian Grass Pollen Emissions Module VGPEM1.0

Emmerson¹,

Silver²,

Newbigin³

et al. 2019

Geosci. Model Dev.

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Abstract. We present the first representation of grass pollen in a 3-D dispersion model in Australia, tested using observations from eight counting sites in Victoria. The region's population has high rates of allergic rhinitis and asthma, and this has been linked to the high incidence of grass pollen allergy. Despite this, grass pollen dispersion in the Australian atmosphere has not been studied previously, and its source strength is untested. We describe 10 pollen emission source methodologies examining the strengths of different immediate and seasonal timing functions, and the spatial distribution of the sources. The timing function assumes a smooth seasonal term, modulated by an hourly meteorological function. A simple Gaussian representation of the pollen season worked well (average r=0.54), but lacked the spatial and temporal variation that the satellite-derived enhanced vegetation index (EVI) can provide. However, poor results were obtained using the EVI gradient (average r=0.35), which provides the timing when grass turns from maximum greenness to a drying and flowering period; this is due to noise in the spatial and temporal variability from this combined spatial and seasonal term. Better results were obtained using statistical methods that combine elements of the EVI dataset, a smooth seasonal term and instantaneous variation based on historical grass pollen observations (average r=0.69). The seasonal magnitude is inferred from the maximum winter-time EVI, whereas the timing of the season peak is based on the day of the year when the EVI falls to 0.05 below its winter maximum. Measurements are vital to monitor changes in the pollen season, and the new pollen measurement sites in the Victorian network should be maintained.

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On impact of transport conditions on variability of the seasonal pollen index

Cited by 46 publications

References 58 publications

Detection and Microscopy of Alnus glutinosa Pollen Fluorescence Peculiarities

Detection and Microscopy of Alnus glutinosa Pollen Fluorescence Peculiarities

Detection and Microscopy of <em>Alnus glutinosa</em> Pollen Fluorescence Peculiarities

Development and evaluation of pollen source methodologies for the Victorian Grass Pollen Emissions Module VGPEM1.0

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