Search results for "meteorological variables"
showing 3 items of 3 documents
Importance of meteorological variables for aeroplankton dispersal in an urban environment
2016
Passive wind dispersal is one of the major mechanisms through which organisms disperse and colonize new areas. The detailed comprehension of which factors affect this process may help to preserve its efficiency for years to come. This is especially important in the current context of climate change, which may seriously alter weather regimes that drive dispersal, and is crucial in urban contexts, where biodiversity is dramatically threatened by pollution and fragmentation of natural patches. Despite its interest, the analysis of factors affecting aeroplankton dispersal in urban environments is rare in literature. We sampled aeroplankton community uninterruptedly every 4 hours from 17th May t…
Analysis of the traffic management policy measures adopted in the central business district of Palermo
2005
his research analyses the effects on air quality produced by the traffic management measures adopted in the Central Business District of Palermo (i.e. park price, the closure to traffic of Maqueda Road, etc.). Weather data series, pollutant concentrations data series (1997-2003) and the traffic data collected in 2003 were analysed by using different regression statistical models, to appraise the effectiveness of the traffic management policies adopted by City Council, understanding also the cause/effect relationships among the pollutant concentrations (CO, NO2, O3, C6H6 and PM10) and the traffic flows variations over time
Optimisation d’un modèle atmosphérique transnational de prédiction de la concentration journalière d’ozone : intégration de paramètres météorologique…
2021
International audience; L'ozone (O3) est un polluant atmosphérique secondaire formé lors de réactions photochimiques, en présence de précurseurs (NOx, COV, CO). L'exposition à l'O3 est délicate à modéliser car ce polluant présente une forte variabilité spatiotemporelle. Le but des présents travaux est d'optimiser l'évaluation des concentrations journalières d'O3 modélisées à échelle kilométrique, à l'aide de modèles MARS et de données météorologiques. La plateforme de modélisation PREVEST a généré une prédiction de concentrations maximales journalières d'O3 pour un maillage de 3km de côté. La station de mesure de la qualité de l'air du réseau ATMO-Bourgogne-Franche-Comté, Besançon-Prévoyanc…