Climate Impact and Model Approaches of Blue-Green Infrastructure Measures for Neighborhood Planning

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Beier, M.; Gerstendörfer, J.; Mendzigall, K.; Pavlik, D.; Trute, P. et al.: Climate Impact and Model Approaches of Blue-Green Infrastructure Measures for Neighborhood Planning. In: Sustainability 14 (2022), Nr. 11, 6861. DOI: https://doi.org/10.3390/su14116861

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/12722

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Sum total of downloads: 88




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Abstract: 
Nowadays, most cities deal with the problem of “Urban Heat Islands”. Especially existing city districts cannot easily be adapted. In this paper, the effects of blue-green infrastructure elements (BGI) on air and surface temperature in courtyards are examined, based on on-site measurements and simulations. Recognizable effects on the temperature were observed: BGI lower the number of hot days in the courtyard, including a faster air temperature drop at night, but water elements increase the number of tropical nights due to their heat capacity. Model simulations with PALM-4U proved to be useful to analyze the effects of BGI on the microclimate. Besides analyzing existing structures, the effects of planned measures can be quantified by simulation. However, for this application, needs of improvement were recognized to evaluate the influence of BGI on the microclimate more realistically. For decision support, standard indicators such as the number of tropical nights and hot days are not differentiated enough to quantify specific climate stress of urban residents. It is suggested to consider summer days additionally, percentiles could be used instead of fixed thresholds and the entire course of the year should play a role in the evaluation of the elements and urban design.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2022
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 39 44.32%
2 image of flag of United States United States 21 23.86%
3 image of flag of China China 9 10.23%
4 image of flag of Indonesia Indonesia 3 3.41%
5 image of flag of Russian Federation Russian Federation 2 2.27%
6 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 2 2.27%
7 image of flag of Switzerland Switzerland 2 2.27%
8 image of flag of India India 1 1.14%
9 image of flag of Hong Kong Hong Kong 1 1.14%
10 image of flag of Belgium Belgium 1 1.14%
    other countries 7 7.95%

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