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Reinhard Hinkelmann

Has grant

Prof. Dr.-Ing

Technische Universität Berlin
Country flagGermany

Research Interests

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Recent Grants

Grant: Close

GRK 2032:  Urban Water Interfaces (UWI)

Open Date: 2015-01-01

Close Date:

Grant: Close

Numerische Simulation von Zweiphasenströmungsprozessen im Untergrund bei Großhangbewegungen

Open Date: 2005-01-01

Close Date: 2013-12-31

Grant: Close

Zentralprojekt

Open Date: 2005-01-01

Close Date: 2015-12-31

Grant: Close

FOR 581:  Coupling of Flow and Deformation Processes for Modelling the Movement of Natural Slopes

Open Date: 2005-01-01

Close Date: 2013-12-31

Grant: Close

Mehrgittermethoden und adaptive Euler-Lagrange-Verfahren zur Simulation von Strömungs- und Transportvorgängen in Kluftaquifersystemen

Open Date: 1999-01-01

Close Date: 2004-12-31

Articles (6)

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

A static flood analysis (SFA) toolset is implemented with the purpose of performing simplified, event-based flood inundation modeling. The simulation process is divided into two steps: a topographic sink analysis of the terrain followed by flow accumulation (FA) of runoff volumes. Both procedures are coupled to account for sink storage effects. The sink analysis procedure determines the morphology of present sinks that are utilized during FA to calculate the sink storage by solving a mass balance, whereby inflows are captured in each sink according to their capacity and overflows are routed further downstream. Each sink is enriched with a set of hydrological attributes such as the total inflow, overflow, and flood depth. The flood depth is then utilized to determine the flood extent and flood depths of each sink. Two main options are made available for the FA procedure: either a single flow direction (SFD) or a novel formulation of the multiple flow direction (MFD) algorithm. Both methods were compared in terms of their accuracy with results from the TELEMAC-2D finite-volume solver for an urban inundation model. Both methods showed good agreement when compared with the validation results, with the MFD method performing marginally better than the SFD method.

Year:

2023

Collaborators (1)

Katharina Teuber

Professor for Urban Water Management

Jade University of Applied Sciences

GERMANY
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