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Modeling wind flow over complex urban terrain

Langheinrich, Maximilian and Fischer, Peter and Krauß, Thomas (2017) Modeling wind flow over complex urban terrain. In: 2017 Joint Urban Remote Sensing Event, JURSE 2017, pp. 1-4. JURSE 2017, 6.-8. Mar. 2017, Dubai, UAE.

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The damage done to buildings by meteorologic disturbances and their aftermaths, like wind-storms or flooding, is a major issue regarding entity insurance policies. While the functional model enabling the estimation of floodwater damage is well-known and accurate, an equivalent concerning storms and winter-gales is non-existent. As state-of-the-art scientific findings revealed that the damage caused by intense winds strongly correlates to the local wind speed, the aim of this work is to model wind flow over an urban area to detect peaks concerning wind speed and air pressure gradients. The necessary prerequisites for wind modeling are a) a surface model and b) information about surface roughness. In this experiment this information is derived from data products delivered by remote sensing satellite missions, namely Cartosat-1 and RapidEye. The experiments were carried out for a subset of the city of Gelsenkirchen in Westphalia, Germany, covering 1500*1500 m². The major steps described are a) the mesh generation from DSM, b) enrichment of the DSM with surface roughness Parameters based on landuse data, c) running the modeling for the area of interest and d) analysis of the results. The experiment reveals that the given data sources satisfy the necessary accuracy for modeling channeling and deflection effects in urban environments.

Item URL in elib:https://elib.dlr.de/108095/
Document Type:Conference or Workshop Item (Poster)
Title:Modeling wind flow over complex urban terrain
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Langheinrich, Maximilianmaximilian.langheinrich (at) dlr.deUNSPECIFIED
Fischer, Peterpeter.fischer (at) dlr.deUNSPECIFIED
Krauß, Thomasthomas.krauss (at) dlr.deUNSPECIFIED
Date:March 2017
Journal or Publication Title:2017 Joint Urban Remote Sensing Event, JURSE 2017
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-4
Keywords:Digital Terrain Model, Wind flow, Computational Fluid Dynamics
Event Title:JURSE 2017
Event Location:Dubai, UAE
Event Type:international Conference
Event Dates:6.-8. Mar. 2017
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Fischer, Peter
Deposited On:25 Nov 2016 14:32
Last Modified:08 Feb 2018 13:05

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