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Autor(en) / Beteiligte
Titel
Mapping urban cold-air paths in a Central European city using numerical modelling and geospatial analysis
Ist Teil von
  • Urban climate, 2019-09, Vol.29, p.100503, Article 100503
Ort / Verlag
Elsevier B.V
Erscheinungsjahr
2019
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • The positive trend of global urbanization goes along with the conversion of non-urbanized, e.g. natural or agricultural land surfaces, into urbanized surface types, e.g. impervious surfaces. This generally leads to an increased intensity of the urban heat island and calls for mitigation strategies to ensure thermal comfort of the urban residents. In the present study, we introduce a method to identify, map and asses the efficiency of cold-air paths, which are low-roughness open areas that support cold-air drainage or transport from rural into warmer urban areas. We define that cold-air paths connect cold-air reservoir areas (CARA) with cold-air impact regions (CAIR). The approach combines numerical modelling using the cold-air flow model KLAM_21 with geostatistical analysis using GIS. In our study area Braunschweig (Northern Germany, 250,000 inhabitants) eight cold-air paths of different lengths and surface areas were identified. The identified surface area of cold-air paths varies between 1.7 and 18.0 km2, and the respective cold-air volume between 0.04 and 0.53 km3. The efficiency of cold-air paths was classified according to six criteria taking the size, length, and the cold-air volume and dynamics into account. The method shows promising results, is transferable to other urban areas and offers potential to support decision-making in urban and environmental planning. •Method to identify and classify urban cold-air paths•Combination of numerical cold-air drainage model with GIS analysis•Evaluation of cold-air drainage model KLAM_21•Identification of cold air reservoir areas (CARA) and cold air impact regions (CAIR)
Sprache
Englisch
Identifikatoren
ISSN: 2212-0955
eISSN: 2212-0955
DOI: 10.1016/j.uclim.2019.100503
Titel-ID: cdi_crossref_primary_10_1016_j_uclim_2019_100503

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