Literature DB >> 26092133

Temporal modelling and forecasting of the airborne pollen of Cupressaceae on the southwestern Iberian Peninsula.

Inmaculada Silva-Palacios1, Santiago Fernández-Rodríguez2, Pablo Durán-Barroso3, Rafael Tormo-Molina4, José María Maya-Manzano4, Ángela Gonzalo-Garijo5.   

Abstract

Cupressaceae includes species cultivated as ornamentals in the urban environment. This study aims to investigate airborne pollen data for Cupressaceae on the southwestern Iberian Peninsula over a 21-year period and to analyse the trends in these data and their relationship with meteorological parameters using time series analysis. Aerobiological sampling was conducted from 1993 to 2013 in Badajoz (SW Spain). The main pollen season for Cupressaceae lasted, on average, 58 days, ranging from 55 to 112 days, from 24 January to 22 March. Furthermore, a short-term forecasting model has been developed for daily pollen concentrations. The model proposed to forecast the airborne pollen concentration is described by one equation. This expression is composed of two terms: the first term represents the pollen concentration trend in the air according to the average concentration of the previous 10 days; the second term is obtained from considering the actual pollen concentration value, which is calculated based on the most representative meteorological parameters multiplied by a fitting coefficient. Temperature was the main meteorological factor by its influence over daily pollen forecast, being the rain the second most important factor. This model represents a good approach to a continuous balance model of Cupressaceae pollen concentration and is supported by a close agreement between the observed and predicted mean concentrations. The novelty of the proposed model is the analysis of meteorological parameters that are not frequently used in Aerobiology.

Keywords:  Airborne pollen; Cupressaceae; Forecasting; Temporal modelling; Time series analysis

Mesh:

Substances:

Year:  2015        PMID: 26092133     DOI: 10.1007/s00484-015-1026-6

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


  31 in total

1.  Concentration of airborne pollen from Cupressaceae in Lisbon.

Authors:  A P Ramos; M J Marques; A Fabiao; J Santos-Pereira; A Todo-Bom; L Fontes; N Neuparth; P L da Mata
Journal:  Allerg Immunol (Paris)       Date:  2000-03

2.  Environment and sensitization to cypress in Israel.

Authors:  C Geller-Bernstein; Y Waisel; C Lahoz
Journal:  Allerg Immunol (Paris)       Date:  2000-03

3.  [Cypress: a new plague for the Rhône-Alpes region?].

Authors:  M Calleja; I Farrera
Journal:  Eur Ann Allergy Clin Immunol       Date:  2003-03

4.  The use of a neural network to forecast daily grass pollen concentration in a Mediterranean region: the southern part of the Iberian Peninsula.

Authors:  J A Sánchez-Mesa; C Galan; J A Martínez-Heras; C Hervás-Martínez
Journal:  Clin Exp Allergy       Date:  2002-11       Impact factor: 5.018

5.  Statistical approach to the analysis of olive long-term pollen season trends in southern Spain.

Authors:  H García-Mozo; L Yaezel; J Oteros; C Galán
Journal:  Sci Total Environ       Date:  2013-12-20       Impact factor: 7.963

6.  Models for forecasting airborne Cupressaceae pollen levels in central Spain.

Authors:  Silvia Sabariego; Pedro Cuesta; Federico Fernández-González; Rosa Pérez-Badia
Journal:  Int J Biometeorol       Date:  2011-03-30       Impact factor: 3.787

7.  Heat requirement for the onset of the Olea europaea L. pollen season in several sites in Andalusia and the effect of the expected future climate change.

Authors:  C Galán; H García-Mozo; L Vázquez; L Ruiz; C Díaz de la Guardia; M M Trigo
Journal:  Int J Biometeorol       Date:  2004-07-27       Impact factor: 3.787

8.  Artificial neural networks as a useful tool to predict the risk level of Betula pollen in the air.

Authors:  M Castellano-Méndez; M J Aira; I Iglesias; V Jato; W González-Manteiga
Journal:  Int J Biometeorol       Date:  2005-01-13       Impact factor: 3.787

9.  Evaluation of atmospheric Poaceae pollen concentration using a neural network applied to a coastal Atlantic climate region.

Authors:  F J Rodríguez-Rajo; G Astray; J A Ferreiro-Lage; M J Aira; M V Jato-Rodriguez; J C Mejuto
Journal:  Neural Netw       Date:  2009-06-27

10.  Bayesian Analysis of Climate Change Effects on Observed and Projected Airborne Levels of Birch Pollen.

Authors:  Yong Zhang; Sastry Isukapalli; Leonard Bielory; Panos Georgopoulos
Journal:  Atmos Environ (1994)       Date:  2012-11-12       Impact factor: 4.798

View more
  4 in total

1.  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

2.  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

3.  Regional forecast model for the Olea pollen season in Extremadura (SW Spain).

Authors:  Santiago Fernández-Rodríguez; Pablo Durán-Barroso; Inmaculada Silva-Palacios; Rafael Tormo-Molina; José María Maya-Manzano; Ángela Gonzalo-Garijo
Journal:  Int J Biometeorol       Date:  2016-02-19       Impact factor: 3.787

Review 4.  POLLAR: Impact of air POLLution on Asthma and Rhinitis; a European Institute of Innovation and Technology Health (EIT Health) project.

Authors:  Jean Bousquet; Josep M Anto; Isabella Annesi-Maesano; Toni Dedeu; Eve Dupas; Jean-Louis Pépin; Landry Stephane Zeng Eyindanga; Sylvie Arnavielhe; Julia Ayache; Xavier Basagana; Samuel Benveniste; Nuria Calves Venturos; Hing Kin Chan; Mehdi Cheraitia; Yves Dauvilliers; Judith Garcia-Aymerich; Ingrid Jullian-Desayes; Chitra Dinesh; Daniel Laune; Jade Lu Dac; Ismael Nujurally; Giovanni Pau; Robert Picard; Xavier Rodo; Renaud Tamisier; Michael Bewick; Nils E Billo; Wienczyslawa Czarlewski; Joao Fonseca; Ludger Klimek; Oliver Pfaar; Jean-Marc Bourez
Journal:  Clin Transl Allergy       Date:  2018-09-17       Impact factor: 5.871

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.