Artificial neural network model of the relationship between Betula pollen and meteorological factors in Szczecin (Poland)
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Summary
Direct comparison of the observed and calculated values confirmed good performance of the model and its ability to recreate most of the variation and revealed that humidity had a strong negative correlation with Betula pollen concentrations.
- Type
- article
- Published
- 2011-05-15
- Cited by
- 69
- References
- 47
- Access
- Open access
- OpenAlex
- https://openalex.org/W2087264817
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:7664431
Keywords
Pollen, Environmental science, Relative humidity, Humidity, Spearman's rank correlation coefficient
References
- Artificial neural networks as a useful tool to predict the risk level of Betula pollen in the air
- Copenhagen – a significant source of birch (Betula) pollen?
- Betula and Populus pollen counts and meteorological conditions in Szczecin, Poland.
- Airborne birch pollen in Neuchâtel (Switzerland): onset, peak and daily patterns
- Forecasting airborne pollen concentrations: Development of local models
- Introducing neural networks
- UK regional variations in Betula pollen (1993–1997)
- Seasonal variations in the atmospheric Betula pollen count in Gdańsk (southern Baltic coast) in relation to meteorological parameters
- Release of allergen-bearing cytoplasm from hydrated pollen: a mechanism common to a variety of grass (Poaceae) species revealed by electron microscopy.
- Artificial neural network models of relationships between Cladosporium spores and meteorological factors in Szczecin (Poland)
- The use of discriminant analysis and neural networks to forecast the severity of the Poaceae pollen season in a region with a typical Mediterranean climate
- Artificial neural networks as a tool in ecological modelling, an introduction
- Non-native Ambrosia pollen in the atmosphere of Rzeszów (SE Poland); evaluation of the effect of weather conditions on daily concentrations and starting dates of the pollen season
- Betula pollen: One of the most important aeroallergens in Ourense, Spain. Aerobiological studies from 1993 to 2000
- Atmospheric birch (Betula) pollen in Europe: Trends and fluctuations in annual quantities and the starting dates of the seasons
- Responses in the start of Betula (birch) pollen seasons to recent changes in spring temperatures across Europe
- Pollinosis in Europe: New observations and developments
- European allergenic pollen types
- Time series predictions with neural nets: Application to airborne pollen forecasting
- Numerical modelling of pollen dispersion on the regional scale
Cited by
- Temporal and spatiotemporal autocorrelation of daily concentrations of Alnus, Betula, and Corylus pollen in Poland
- Forecasting of the selected features of Poaceae (R. Br.) Barnh., Artemisia L. and Ambrosia L. pollen season in Szczecin, north-western Poland, using Gumbel's distribution.
- The impact of pollen load on quality of life: a questionnaire-based study in Lithuania
- Forecasting methodologies for Ganoderma spore concentration using combined statistical approaches and model evaluations
- Numerical modelling of birch pollen emissions and dispersion on regional and continental scales
- Spatiotemporal models for predicting high pollen concentration level of Corylus, Alnus, and Betula
- THE ADVANCED STATISTICAL METHODS IN AEROBIOLOGICAL STUDIES
- Application of redundancy analysis for aerobiological data
- Pollen grains as allergenic environmental factors--new approach to the forecasting of the pollen concentration during the season.
- Changes in concentration of Alternaria and Cladosporium spores during summer storms
- Year clustering analysis for modelling olive flowering phenology
- Modeling and prediction of CO2 exchange response to environment for small sample size in cucumber
- Meteorological Impact on Daily Concentration of Pollens in Korea
- A model to forecast the risk periods of Plantago pollen allergy by using the ANN methodology
- The patterns of Corylus and Alnus pollen seasons and pollination periods in two Polish cities located in different climatic regions
- Predicting daily ragweed pollen concentrations using Computational Intelligence techniques over two heavily polluted areas in Europe.
- FAGALES POLLEN IN THE ATMOSPHERE OF TIMIŞOARA, ROMANIA (20002007)
- Forecasting model of Corylus, Alnus, and Betula pollen concentration levels using spatiotemporal correlation properties of pollen count
- Fluctuation of birch (Betula L.) pollen seasons in Poland
- Airborne castanea pollen forecasting model for ecological and allergological implementation.
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