Airborne Pollen Records in Denmark, 1977–1986

Goldberg, Claus; Buch, Hans; Moseholm, Lars; Weeke, Eva

doi:10.1080/00173138809428928

Cited by 81 publications

(61 citation statements)

References 15 publications

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“…The observations and subsequent laboratory studies reveal that the grass pollen season in 2009 started on 25 May and ended on 29 July, using the 95 % method (Goldberg et al, 1988). Table 1 and Fig.…”

Section: Pollen Countsmentioning

confidence: 99%

Identifying urban sources as cause of elevated grass pollen concentrations using GIS and remote sensing

et al. 2013

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We examine here the hypothesis that during flowering, the grass pollen concentrations at a specific site reflect the distribution of grass pollen sources within a few kilometres of this site. We perform this analysis on data from a measurement campaign in the city of Aarhus (Denmark) using three pollen traps and by comparing these observations with a novel inventory of grass pollen sources. The source inventory is based on a new methodology developed for urban-scale grass pollen sources. The new methodology is believed to be generally applicable for the European area, as it relies on commonly available remote sensing data combined with management information for local grass areas. The inventory has identified a number of grass pollen source areas present within the city domain. The comparison of the measured pollen concentrations with the inventory shows that the atmospheric concentrations of grass pollen in the urban zone reflect the source areas identified in the inventory, and that the pollen sources that are found to affect the pollen levels are located near or within the city domain. The results also show that during days with peak levels of pollen concentrations there is no correlation between the three urban traps and an operational trap located just 60 km away. This finding suggests that during intense flowering, the grass pollen concentration mirrors the local source distribution and is thus a local-scale phenomenon. Model simulations aimed at assessing population exposure to pollen levels are therefore recommended to take into account both local sources and local atmospheric transport, and not to rely only on describing regional to long-range transport of pollen. The derived pollen source inventory can be entered into local-scale atmospheric transport models in combination with other components that simulate pollen release in order to calculate urban-scale variations in the grass pollen load. The gridded inventory with a resolution of 14 m is therefore made available as supplementary material to this paper, and the verifying grass pollen observations are additionally available in tabular form

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Section: Pollen Countsmentioning

confidence: 99%

Identifying urban sources as cause of elevated grass pollen concentrations using GIS and remote sensing

et al. 2013

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“…This threshold is based on reports showing that 90% of patients with identified pollinosis report mild symptoms at this threshold. Start and end dates for each season were calculated using the 95% method as described by Goldberg et al [29]. In this method, the start is defined as the day when 2.5% of the season's total catch has been recorded and the end occurs when 97.5% has been reached.…”

Section: Pollen Data the Monitoring Sites And Statistical Analysismentioning

confidence: 99%

Footprint areas of pollen from alder (Alnus) and birch (Betula) in the UK (Worcester) and Poland (Wrocław) during 2005–2014

et al. 2015

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In this study we analyzed daily pollen concentrations of Alnus spp. and Betula spp. from Worcester, UK and Wrocław, Poland. We analyzed seasonality, annual pollen index and footprint areas for the observed pollen concentrations by using the trajectory model hybrid single particle Lagrangian integrated trajectory (HYSPLIT). We examined 10 years of data during the period 2005-2014 and found substantial differences in the seasonality, pollen indices and footprint areas. For both genera, concentrations in Wrocław are in general much higher, the seasons are shorter and therefore more intense than in Worcester. The reasons appear to be related to the differences in overall climate between the two sites and more abundant sources in Poland than in England. The footprint areas suggest that the source of the pollen grains are mainly local trees but appear to be augmented by remote sources, in particular for Betula spp. but only to a small degree for Alnus spp. For Betula spp., both sites appear to get contributions from areas in Germany, the Netherlands and Belgium, while known Betula spp. rich regions in Russia, Belarus and Scandinavia had a very limited impact on the pollen concentrations in Worcester and Wrocław. Substantial and systematic variations in pollen indices are seen for Betula spp. in Wrocław with high values every second year while a similar pattern is not observed for Worcester. This pattern was not reproduced for Alnus spp.

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“…The aim of the present study was to test these phcnoclimatographic models on the allergenic trces Altiits,, Ultnus and Betitla in order to provide a method to predict the beginning of the pollen season. above ground, on the roof of the Danish hieteorological Institute in Copenhagen (Goldberg et al 1988). As phenologie parameter in the model 14 years of pollen data from the trap were used.…”

Section: 'mentioning

confidence: 99%