Gewählte Master / Diploma Thesis:
Susan Sauerbrey
(2022):
Bindung von Feinstaub in Städten durch grüne Infrastrukturen.
Master / Diploma Thesis - Institut für Ingenieurbiologie und Landschaftsbau (IBLB),
BOKU-Universität für Bodenkultur,
pp 159.
UB BOKU
obvsg
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Data Source: ZID Abstracts
- Abstract:
- Green infrastructures in cities achieve a major contribution to the well-being and health of the population. Green structures can have a significant effect on improving air quality, especially in cities where there is often a high concentration of pollutants. This master’s thesis deals with the effect of green infrastructures for the reduction of particulate matter from the air and the factors that influence the deposition of particles. Several leaf characteristics are analysed which have a positive effect on the deposition of particles. The developed rating matrix connect different effective characteristics. With it the suitability of different plants, in this case Wisteria sinensis can be checked. The basis for writing the master’s thesis was a systematic literature search and a field study. Different factors are decisive for reducing particulate matter from the air. Location, meteorological conditions and the plant selection influence particle deposition. The leaf characteristics show that especially plants with small and rough leaves are very effective. Leaf hairs, waxes and stomatous on the surface also boost the deposition. However, it is difficult to identify a single trait which is the most effective trait. The leaf traits do not only occur individually. In the most cases there are a combination of several traits. The different environmental factors also influence the accumulation of particles. The ability of a plant to enrich particles is a complex interaction of different factors. The data from the field study and the rating matrix show that the plant species Wisteria sinensis is only partially suitable for particle deposition. Nevertheless, each plant can improve the air quality and also impress with other qualities.
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Beurteilende*r:
Pitha Ulrike
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1.Mitwirkender:
Spörl Philipp