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

Ole Hertel, Carsten Ambelas Skjøth, P.V. Orby, Thomas Becker, Camilla Geels, V. Schlunssen, Torben Sigsgaard, Jakob Bønløkke, J. Sommer, P. Søgaard

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

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 14m is therefore made available as supplementary material to this paper, and the verifying grass pollen observations are additionally available in tabular form.
OriginalsprogEngelsk
TidsskriftBiogeosciences
Vol/bind10
Udgave nummer1
Sider (fra-til)541-554
ISSN1726-4170
DOI
StatusUdgivet - 2013

Citer dette

Hertel, O., Skjøth, C. A., Orby, P. V., Becker, T., Geels, C., Schlunssen, V., ... Søgaard, P. (2013). Identifying urban sources as cause of elevated grass pollen concentrations using GIS and remote sensing. Biogeosciences, 10(1), 541-554. https://doi.org/10.5194/bg-10-541-2013
Hertel, Ole ; Skjøth, Carsten Ambelas ; Orby, P.V. ; Becker, Thomas ; Geels, Camilla ; Schlunssen, V. ; Sigsgaard, Torben ; Bønløkke, Jakob ; Sommer, J. ; Søgaard, P. / Identifying urban sources as cause of elevated grass pollen concentrations using GIS and remote sensing. I: Biogeosciences. 2013 ; Bind 10, Nr. 1. s. 541-554.
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title = "Identifying urban sources as cause of elevated grass pollen concentrations using GIS and remote sensing",
abstract = "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 14m is therefore made available as supplementary material to this paper, and the verifying grass pollen observations are additionally available in tabular form.",
author = "Ole Hertel and Skj{\o}th, {Carsten Ambelas} and P.V. Orby and Thomas Becker and Camilla Geels and V. Schlunssen and Torben Sigsgaard and Jakob B{\o}nl{\o}kke and J. Sommer and P. S{\o}gaard",
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Hertel, O, Skjøth, CA, Orby, PV, Becker, T, Geels, C, Schlunssen, V, Sigsgaard, T, Bønløkke, J, Sommer, J & Søgaard, P 2013, 'Identifying urban sources as cause of elevated grass pollen concentrations using GIS and remote sensing', Biogeosciences, bind 10, nr. 1, s. 541-554. https://doi.org/10.5194/bg-10-541-2013

Identifying urban sources as cause of elevated grass pollen concentrations using GIS and remote sensing. / Hertel, Ole; Skjøth, Carsten Ambelas; Orby, P.V.; Becker, Thomas; Geels, Camilla; Schlunssen, V.; Sigsgaard, Torben; Bønløkke, Jakob; Sommer, J.; Søgaard, P.

I: Biogeosciences, Bind 10, Nr. 1, 2013, s. 541-554.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Identifying urban sources as cause of elevated grass pollen concentrations using GIS and remote sensing

AU - Hertel, Ole

AU - Skjøth, Carsten Ambelas

AU - Orby, P.V.

AU - Becker, Thomas

AU - Geels, Camilla

AU - Schlunssen, V.

AU - Sigsgaard, Torben

AU - Bønløkke, Jakob

AU - Sommer, J.

AU - Søgaard, P.

PY - 2013

Y1 - 2013

N2 - 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 14m is therefore made available as supplementary material to this paper, and the verifying grass pollen observations are additionally available in tabular form.

AB - 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 14m is therefore made available as supplementary material to this paper, and the verifying grass pollen observations are additionally available in tabular form.

U2 - 10.5194/bg-10-541-2013

DO - 10.5194/bg-10-541-2013

M3 - Journal article

VL - 10

SP - 541

EP - 554

JO - Biogeosciences

JF - Biogeosciences

SN - 1726-4170

IS - 1

ER -