A windthrow model for urban trees with application to storm "Xavier"

Download statistics - Document (COUNTER):

Gross, G.: A windthrow model for urban trees with application to storm "Xavier". In: Meteorologische Zeitschrift 27 (2018), Nr. 4, S. 299-308. DOI: https://doi.org/10.1127/metz/2018/0905

Repository version

To cite the version in the repository, please use this identifier: https://doi.org/10.15488/4901

Selected time period:

year: 
month: 

Sum total of downloads: 184




Thumbnail
Abstract: 
A three-dimensional meteorological micro-scale model was combined with a forestry windthrow tool to study the risk of urban trees under stormy conditions. The numerical results for an isolated individual tree are compared to general findings from forestry and pulling experiments in the field. It was found that the model is suitable to capture the critical wind speed in the right order of magnitude which causes strong hazards to trees. The new tool was applied to a limited real city environment during storm "Xavier", where significant and extensive tree damage have been observed. A comparison of the numerical results with the observations demonstrates a very reasonable agreement not only for the onset of windthrow but also for the right areal distribution during different phases of the storm.
License of this version: CC BY-NC 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2018
Appears in Collections:Fakultät für Mathematik und Physik

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 81 44.02%
2 image of flag of United States United States 24 13.04%
3 image of flag of United Kingdom United Kingdom 13 7.07%
4 image of flag of Canada Canada 9 4.89%
5 image of flag of Hong Kong Hong Kong 8 4.35%
6 image of flag of Brazil Brazil 8 4.35%
7 image of flag of China China 7 3.80%
8 image of flag of No geo information available No geo information available 5 2.72%
9 image of flag of Australia Australia 4 2.17%
10 image of flag of Japan Japan 3 1.63%
    other countries 22 11.96%

Further download figures and rankings:


Hinweis

Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.

Search the repository


Browse