Project: Funded by: Supervised by:Staff: Maria Kaiser1, Tahoora Sheikhy Narany1, Hai Nguyen3, Johannes Mitterer1, Fabian von

Trentini2, Florian Willkofer2, Tuo Ye1, Karl Broich1, Qing Lin1, Thomas Pflugbeil1

Lead: Maria Kaiser1, Markus Disse1, Ralf Ludwig2, Dieter Kranzlmüller3

1) Technical University of Munich (TUM), Chair of Hydrology and River Basin Management, Arcisstraße 21, 80333 München, Germany

2) Ludwig Maximilian University of Munich (LMU), Department of Geography, Luisenstraße 37, 80333 München, Germany

3) Leibniz Supercomputing Centre (LRZ) of the Bavarian Academy of Sciences and Humanities, Boltzmannstraße 1, 85748 Garching b. München, Germany

City

Catchment

Transfers

Figure 7: Scheme of the discharge transfers at the transition from catchment to

city and the spatially distributed surface runoff (points)

Figure 8: Resolution and gauges of the hydrological model WaSiM (25 m) and

the hydrodynamic model (TELEMAC, approximate 5 m) at two transition gauges

High Performance Computing

Summary and OutlookModel Coupling

Two types of offline, one-way coupling of

hydrological and hydrodynamic models:

Advantages

• Better representation of hydrological

processes (e.g. infiltration and runoff)

• Smaller domain (city area) for the high-

resolution hydrodynamic model saves

computation time and resources.

• Possibility to compare inflows from the

two model types and surface runoff

from the hydrological model

against SCS-CN method (NRCS, 2010).

Figure 5: Topology for HPC-Cluster, each box represents a node/part consisting

of n-cores/ subdomains (n = 28 for SuperMUC at LRZ), N = number of time levels.

Figure 6: Topology for cloud system, VM = virtual machine.

VM 1 VM i VM nTemplate

Input

Output Output Output

Input Cluster Results

Domain A with

parameter set

Domain B with

parameter set

Domain C with

parameter set

Domain D with

parameter setDomain E with

parameter set

1

iN

1

iN

1

iN

1

iN

mxnxN Results A

mxnxN Results B

mxnxN Results C+E

mxnxN Results D

Coupling of WaSiM 25 m

and TELEMAC 5 m

legend

gauge WaSiM (25m)

gauge hydrodynamics

urban area coupling points

scalar flow rate [m³/s]

flow network WaSiM (25m)

0.0 – 0.5

0.6 – 1.5

1.6 – 3.0

3.1 – 4 5

4.6 – 6.5

6.6 – 10.0

10.1 – 17.0

Hydrology

inflow from catchment

areas to the city area

spatially distributed

surface runoff for city

Hydrodynamics

boundary input at

transition points

effective

precipitation input

typ

e 1

typ

e 2

Reference Map for Surface Runoff and Flash FloodsHinweiskarte Oberflächenabfluss und Sturzflut (HiOS)

Development of a GIS tool in ArcGIS Pro,

which queries, links and evaluates the factors

that favor or trigger surface runoff and flash

floods.

GIS-Tool and Reference Map

Figure 2: Presentation of possible influencing factors for the development of

reference maps for flood hazards due to heavy rain.

Core components of the GIS-tool:

• Derivation of influencing factors

Sinks

Geohazards

Overflow & backwater

Log jams

• Municipal hazard zoning

• Map generation

Table 3: Model coupling in the HiOS project.

Table 1: Applied models in the HiOS project.

Applied ModelsThree different kinds of models are used in

the HiOS project:

• GIS-Tools (GIS)

• Hydrological Models (HL)

• Hydrodynamic Models (HD)

GIS

ArcGIS Pro

ArcMap

QGIS

Hydrology

LARSIM

WaSiM

Lumped

models

Hydrodynamics

TELEMAC-2D

Hydro_AS-2D

FloodArea

P-DWave

Figure 4: Flowchart of hydrodynamic modelling in the HiOS project. Input data

from external models are marked green and input data from hydrological models

are marked blue.

Spatial Temporal

GISBavaria

(ca. 70.000 km²)decades

HLCatchment

(ca. 100 – 500 km²)weeks to years

HD City (ca. 10 – 50 km²) hours to days

Table 2: Scales of the applied models.

Simbachca. 210-290 m³/s

The Cooperation Project HiOS

Bayerisches Staatsministerium fürUmwelt und Verbraucherschutz

Bayerisches Landesamtfür Umwelt

Funding Supervision

2017 2018 2019 2020

Duration: 3 years until August 2020

05/30/16 06/01/16 06/02/16 06/03/160

50

Identification

of factors

triggering the

generation of

surface runoff

and flash

floods

Development

of a GIS-

based hazard

classification

for surface

runoff and

flash floods

Hazard studies for

80 Bavarian

municipalities using

coupled modelling

Figure 1: Flash flood in Simbach a. Inn on June 1st 2016.

© pa/dpa/Walter Geiring.

Study on

benefits for

hydrological

and hydro-

dynamic

modelling

from HPC

usage

Generation of a

flash flood

reference map

with different

hazard zones for

Bavarian

municipalities

Goals

Proceedings

Next steps

• Flash flood investigation of 80 Bavarian municipalities• Analysis of the influencing factors by modelling and database evaluation• Generation of a first reference map for surface runoff and flash floods in Bavaria

FL

AS

H F

LO

OD

S

within minutes to hours

flash floods occuranywhere

high destructive potential

excessive hydrodynamic forces

increasing risk of heavy precipitation

globalclimate change

early warningalmost impossible

mitigation for settlements necessary

provides necessary knowledge and tools

hydrologicalmodelling

• Study of two test cases• Comparison of four models

• Concept for model coupling• Tests on HPC systems

• Survey on flash flood issue• Set up of event database• First prototype of GIS-tool

geographicinformationsystem

• Calibration strategy• Simplified GIS model

N100

KOSTRA

2010R

Zones with an increased hazard of surface

runoff and flash floods are classified and

highlighted in the reference map.

N1000

KOSTRA 2010R

and PEN-LAWA

DWD warning

level 4

1h

DWD warning

level 4

6h

Generation of the reference map for four

temporal distributions of heavy

precipitation events:

Cloud

Models calculate the

domain en bloc:

• GIS: virtual machines

(VM) embarrassingly

parallel use.

• LARSIM: using VMs.

Input:

One catchment with n-

parameter sets and m-

load cases.

hydraulic modelling

hydrological modelling

two-dimensional

time-dependent

n x m x tdatasets

output

HPC-Cluster

Models split the domain

in several parts:

• TELEMAC: town

region split

• WaSiM: catchment

split

Input:

One catchment/town

with n parameter sets

and m load cases.

hydraulicmodelling

graphical sources: www.gim-international.com, www.dreamstime.com, www.123rf.com

Figure 3: Flowchart of hydrological modelling in the HiOS project. The scale study

is based on different combinations of spatial and temporal resolutions, where (X)

marks the minimum combinations to be performed. Higher resolutions (O) should

only be tested, if the quality of the model improves significantly.