Understanding hourly patterns of Olea pollen concentrations as tool for the environmental impact assessment
Autor
Fernández-Rodríguez, Santiago
Maya-Manzano, José María
Monroy-Colín, Alejandro
Pecero-Casimiro, Raúl
Buters, Jeroen
Oteros, José
Editor
ElsevierFecha
2020Materia
Olea pollenHourly data
Aerobiology
Clustering
Neural networks
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Bioinformatics clustering application for mining of a large set of olive pollen aerobiological data to describe the
daily distribution of Olea pollen concentration. The studywas performedwith hourly pollen concentrations measured
during 8 years (2011–2018) in Extremadura (Spain). Olea pollen season by quartiles of the pollen integral
in preseason (Q1: 0%–25%), in-season (Q2 and Q3: 25%–75%) and postseason (Q4: 75%–100%). Days with pollen
concentrations above 100 grains/m3were clustered according to the daily distribution of the concentrations. The
factors affecting the prevalence of the different clusters were analyzed: distance to olive groves and the moment
during the pollen season and the meteorology. During the season, the highest hourly concentrations during the
day where between 12:00 and 14:00, while during the preseason the highest hourly concentrations were detected
in the afternoon and evening hours. In the postseason the pollen concentrations were more homogeneously
distributed during 9-16 h. The representation shows a well-defined hourly pattern during the season,
but a more heterogeneous distribution during the preseason and postseason. The cluster dendrogram shows
that all the days could be clustered in 6 groups: most of the clusters shows the daily peaks between 11:00 and
15:00 with a smooth curve (Cluster 1 and 3) or with a strong peak (2 and 5). Days included in cluster 9 shows
an earlier peak in the morning (before 9:00). On the other hand, cluster 6 shows a peak in the afternoon, after 15:00. Hourly concentrations show a sharper pattern during the season, with the peak during the hours close to
the emission. Out of the season, when pollen is expected to come from farther distances, the hourly peak is located
later from the emission time of the trees. Significant factors for predicting the hourly pattern were wind
speed and direction and the distance to the olive groves.