ArticleInternational journal of biometeorology2015
A note on the evolution of the daily pattern of thermal comfort-related micrometeorological parameters in small urban sites in Athens.
Article in International journal of biometeorology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Human thermal sensation over a mountainous area, revealed by the application of ANNs: the case of Ainos Mt., Kefalonia Island, Greece.International journal of biometeorology · 2020Article
- Seasonal differences in thermal sensation in the outdoor urban environment of Mediterranean climates - the example of Athens, Greece.International journal of biometeorology · 2017Article
- Comparison of selected approaches for urban roughness determination based on voronoi cells.International journal of biometeorology · 2017Article
- Modeling and in situ measurements of biometeorological conditions in microenvironments within the Athens University Campus, Greece.International journal of biometeorology · 2016Article
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Authors and funding
4 authors.
Funding
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Abstract
Studies on human thermal comfort in urban areas typically quantify and assess the influence of the atmospheric parameters studying the values and their patterns of the selected index or parameter. In this paper, the interpretation tools are the first derivative of the selected parameters (∆Parameter/∆t) and the violin plots. Using these tools, the effect of sites' configuration on thermal conditions was investigated. Both derivatives and violin plots indicated the ability of vegetation to act as a buffer to the rapid changes of air temperature, mean radiant temperature, and the physiologically equivalent temperature (PET). The study is focused on the "thermal extreme" seasons of winter (December, January, and February) and summer (June, July, and August) during a 3-year period of measurements in five selected sites under calm wind and sunny conditions. According to the results, the absence of vegetation leads to high derivative values whereas the existence of dense vegetation tends to keep the parameters' values relatively low, especially under hot weather conditions.
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