Literature DB >> 22410824

A numerical model of birch pollen emission and dispersion in the atmosphere. Description of the emission module.

M Sofiev1, P Siljamo, H Ranta, T Linkosalo, S Jaeger, A Rasmussen, A Rantio-Lehtimaki, E Severova, J Kukkonen.   

Abstract

A birch pollen emission model is described and its main features are discussed. The development of the model is based on a double-threshold temperature sum model that describes the propagation of the flowering season and naturally links to the thermal time models to predict the onset and duration of flowering. For the flowering season, the emission model considers ambient humidity and precipitation rate, both of which suppress the pollen release, as well as wind speed and turbulence intensity, which promote it. These dependencies are qualitatively evaluated using the aerobiological observations. Reflecting the probabilistic character of the flowering of an individual tree in a population, the model introduces relaxation functions at the start and end of the season. The physical basis of the suggested birch pollen emission model is compared with another comprehensive emission module reported in literature. The emission model has been implemented in the SILAM dispersion modelling system, the results of which are evaluated in a companion paper.

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Year:  2012        PMID: 22410824      PMCID: PMC3527742          DOI: 10.1007/s00484-012-0532-z

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  17 in total

1.  A mechanistic modeling system for estimating large scale emissions and transport of pollen and co-allergens.

Authors:  Christos Efstathiou; Sastry Isukapalli; Panos Georgopoulos
Journal:  Atmos Environ (1994)       Date:  2011-04-01       Impact factor: 4.798

2.  Twilight far-red treatment advances leaf bud burst of silver birch (Betula pendula).

Authors:  Tapio Linkosalo; Martin J Lechowicz
Journal:  Tree Physiol       Date:  2006-10       Impact factor: 4.196

3.  Towards numerical forecasting of long-range air transport of birch pollen: theoretical considerations and a feasibility study.

Authors:  M Sofiev; P Siljamo; H Ranta; A Rantio-Lehtimäki
Journal:  Int J Biometeorol       Date:  2006-04-05       Impact factor: 3.787

4.  Copenhagen--a significant source of birch (Betula) pollen?

Authors:  Carsten Ambelas Skjøth; Janne Sommer; Jørgen Brandt; Martin Hvidberg; Camilla Geels; Kaj Mantzius Hansen; Ole Hertel; Lise M Frohn; Jesper H Christensen
Journal:  Int J Biometeorol       Date:  2007-12-20       Impact factor: 3.787

5.  Numerical simulation of birch pollen dispersion with an operational weather forecast system.

Authors:  Heike Vogel; Andreas Pauling; Bernhard Vogel
Journal:  Int J Biometeorol       Date:  2008-07-24       Impact factor: 3.787

6.  POLLEN-STATISTICS: A NEW RESEARCH METHOD IN PALEO-ECOLOGY.

Authors:  G Erdtman
Journal:  Science       Date:  1931-04-10       Impact factor: 47.728

7.  Are the birch trees in Southern England a source of Betula pollen for North London?

Authors:  C A Skjøth; M Smith; J Brandt; J Emberlin
Journal:  Int J Biometeorol       Date:  2008-11-11       Impact factor: 3.787

8.  A numerical model of birch pollen emission and dispersion in the atmosphere. Model evaluation and sensitivity analysis.

Authors:  Pilvi Siljamo; Mikhail Sofiev; Elena Filatova; Łukasz Grewling; Siegfried Jäger; Ekaterina Khoreva; Tapio Linkosalo; Sara Ortega Jimenez; Hanna Ranta; Auli Rantio-Lehtimäki; Anton Svetlov; Laura Veriankaite; Ekaterina Yakovleva; Jaakko Kukkonen
Journal:  Int J Biometeorol       Date:  2012-03-22       Impact factor: 3.787

9.  The seasonal symptoms of hyposensitized and untreated hay fever patients in relation to birch pollen counts: correlations with nasal sensitivity, prick tests and RAST.

Authors:  M Viander; A Koivikko
Journal:  Clin Allergy       Date:  1978-07

10.  Transport of airborne pollen into the city of Thessaloniki: the effects of wind direction, speed and persistence.

Authors:  Athanasios Damialis; Dimitrios Gioulekas; Chariklia Lazopoulou; Christos Balafoutis; Despina Vokou
Journal:  Int J Biometeorol       Date:  2004-10-19       Impact factor: 3.787

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  27 in total

1.  Phenological model of bird cherry Padus racemosa with data assimilation.

Authors:  Andis Kalvāns; Tija Sīle; Gunta Kalvāne
Journal:  Int J Biometeorol       Date:  2017-07-17       Impact factor: 3.787

2.  Atmospheric modelling of grass pollen rupturing mechanisms for thunderstorm asthma prediction.

Authors:  Kathryn M Emmerson; Jeremy D Silver; Marcus Thatcher; Alan Wain; Penelope J Jones; Andrew Dowdy; Edward J Newbigin; Beau W Picking; Jason Choi; Elizabeth Ebert; Tony Bannister
Journal:  PLoS One       Date:  2021-04-14       Impact factor: 3.240

3.  Aerobiology in the International Journal of Biometeorology, 1957-2017.

Authors:  Paul J Beggs; Branko Šikoparija; Matt Smith
Journal:  Int J Biometeorol       Date:  2017-06-12       Impact factor: 3.787

4.  Improvement in the accuracy of back trajectories using WRF to identify pollen sources in southern Iberian Peninsula.

Authors:  M A Hernández-Ceballos; C A Skjøth; H García-Mozo; J P Bolívar; C Galán
Journal:  Int J Biometeorol       Date:  2014-04-05       Impact factor: 3.787

5.  Increasing Juniperus virginiana L. pollen in the Tulsa atmosphere: long-term trends, variability, and influence of meteorological conditions.

Authors:  Michaela Flonard; Esther Lo; Estelle Levetin
Journal:  Int J Biometeorol       Date:  2017-09-15       Impact factor: 3.787

6.  Predicting Onset and Duration of Airborne Allergenic Pollen Season in the United States.

Authors:  Yong Zhang; Leonard Bielory; Ting Cai; Zhongyuan Mi; Panos Georgopoulos
Journal:  Atmos Environ (1994)       Date:  2015-02       Impact factor: 4.798

7.  Development of personal pollen information-the next generation of pollen information and a step forward for hay fever sufferers.

Authors:  Maximilian Kmenta; Katharina Bastl; Siegfried Jäger; Uwe Berger
Journal:  Int J Biometeorol       Date:  2013-12-20       Impact factor: 3.787

8.  Pollen information consumption as an indicator of pollen allergy burden.

Authors:  Maximilian Kmenta; Reinhard Zetter; Uwe Berger; Katharina Bastl
Journal:  Wien Klin Wochenschr       Date:  2015-09-15       Impact factor: 1.704

9.  Forecasting plant phenology: evaluating the phenological models for Betula pendula and Padus racemosa spring phases, Latvia.

Authors:  Andis Kalvāns; Māra Bitāne; Gunta Kalvāne
Journal:  Int J Biometeorol       Date:  2014-05-01       Impact factor: 3.787

10.  Climate change effect on Betula (birch) and Quercus (oak) pollen seasons in the United States.

Authors:  Yong Zhang; Leonard Bielory; Panos G Georgopoulos
Journal:  Int J Biometeorol       Date:  2013-06-21       Impact factor: 3.787

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