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A principal component regression model to forecast airborne concentration of Cupressaceae pollen in the city of Granada (SE Spain), during 1995–2006

International Journal of Biometeorology volume 57, pages 483–486 (2013)Cite this article

Abstract

The problem of developing a 2-week-on ahead forecast of atmospheric cypress pollen levels is tackled in this paper by developing a principal component multiple regression model involving several climatic variables. The efficacy of the proposed model is validated by means of an application to real data of Cupressaceae pollen concentration in the city of Granada (southeast of Spain). The model was applied to data from 11 consecutive years (1995–2005), with 2006 being used to validate the forecasts. Based on the work of different authors, factors as temperature, humidity, hours of sun and wind speed were incorporated in the model. This methodology explains approximately 75–80% of the variability in the airborne Cupressaceae pollen concentration.

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Acknowledgments

This work was supported partially by projects MTM2010-20502 of Dirección General de Investigación y Gestión del Plan Nacional I+D+I and grants FQM-307 of Consejería de Innovación de la Junta de Andalucía, both in Spain. The authors are grateful to Dra. Consuelo Díaz de la Guardia (Botanic Department of the University of Granada) for providing the data to perform this research.

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Affiliations

  1. Department of Statistics and Operations Research, Faculty of Pharmacy, University of Granada, 18071, Granada, Spain

    Francisco M. Ocaña-Peinado, Mariano J. Valderrama & Paula R. Bouzas

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  1. Francisco M. Ocaña-Peinado
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  2. Mariano J. Valderrama
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  3. Paula R. Bouzas
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Correspondence to Francisco M. Ocaña-Peinado.

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Ocaña-Peinado, F.M., Valderrama, M.J. & Bouzas, P.R. A principal component regression model to forecast airborne concentration of Cupressaceae pollen in the city of Granada (SE Spain), during 1995–2006. Int J Biometeorol 57, 483–486 (2013). https://doi.org/10.1007/s00484-012-0527-9

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  • DOI: https://doi.org/10.1007/s00484-012-0527-9

Keywords

  • Cupressaceae pollen concentration
  • Principal component
  • Karhunen-Loève expansion
  • Regression model