ArticleInternational journal of biometeorology2016
Temporal modelling and forecasting of the airborne pollen of Cupressaceae on the southwestern Iberian Peninsula.
Article in International journal of biometeorology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Interactions among Cupressaceae pollen, air pollutants and meteorology in the urban and suburban areas of Beijing, China.Scientific reports · 2025Article
- Comparative modeling approaches for predicting Olea and Quercus pollen seasons in Thessaloniki, Greece.Scientific reports · 2025Article
- Predicting the Olea pollen concentration with a machine learning algorithm ensemble.International journal of biometeorology · 2021Article
- Increasing Juniperus virginiana L. pollen in the Tulsa atmosphere: long-term trends, variability, and influence of meteorological conditions.International journal of biometeorology · 2018Article
- POLLAR: Impact of air POLLution on Asthma and Rhinitis; a European Institute of Innovation and Technology Health (EIT Health) project.Clinical and translational allergy · 2018Review
- Aerobiology in the International Journal of Biometeorology, 1957-2017.International journal of biometeorology · 2017Article
- Modeling pollen time series using seasonal-trend decomposition procedure based on LOESS smoothing.International journal of biometeorology · 2017Article
- Regional forecast model for the Olea pollen season in Extremadura (SW Spain).International journal of biometeorology · 2016Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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