Lecture given in honour of Ian Castro‘s 65th Birthday ...€¦ · 1 h ≈6 d on a 64 CPU SGI...

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Transcript of Lecture given in honour of Ian Castro‘s 65th Birthday ...€¦ · 1 h ≈6 d on a 64 CPU SGI...

Michael Schatzmann

Title

Lecturegiven in honour

of Ian Castro‘s

65th Birthday

SouthamptonMarch 28/29, 2012

Michael Schatzmann

Title

Michael Schatzmann, Bernd Leitl, Denise Hertwig, Frank HarmsMeteorological Institute, KlimaCampus, University of Hamburg

Susanne Fischer, Peer RechenbachMinistry of the Interior, State of Hamburg

Gopal Patnaik, Jay BorisNaval Research Laboratory, Washington DC

Pilot Project Hamburg, sponsored by the Federal Office of Civil Protection and Disaster Assistance and the Parliament of the State of Hamburg, Germany

LES for Accidental Releases

Michael Schatzmann

‚Urban‘ Roughness 1

Packing density λp = 0.25 Frontal area density λf = 0.25hc = 125mm, w/hc = 1

59 rows with 11 cubes each

x = 0 between rows 46 and 47,

y=0 at center lineof the tunnel

(Schultz, 2008)

Starting Point: Cheng, H. & Castro, I. P. , BLM 104, 2002

Michael Schatzmann

‚Urban‘ Roughness 2

Packing density λp = 0.25 Frontal area density λf = 0.32

X [mm]

-750 -625 -500 -375 -250 -125 0 125 250 375 500

Y[m

m]

-625

-500

-375

-250

-125

0

125

250

375

500

625

Z[m

m]

062.5125

187.5

Y

X

Z

ha = 156.25 mm, w/ha = 0.8

(Schultz, 2008)

Michael Schatzmann

‚Urban‘ Roughness 3

Packing density λp = 0.25 Frontal area density λf = 0.32

X [m m ]

- 7 5 0 - 6 2 5 - 5 0 0 - 3 7 5 - 2 5 0 - 1 2 5 0 1 2 5 2 5 0 3 7 5 5 0 0

Y[m

m]

- 6 2 5

- 5 0 0

- 3 7 5

- 2 5 0

- 1 2 5

0

1 2 5

2 5 0

3 7 5

5 0 0

6 2 5

Z[m

m]

06 2 .51 2 5

1 8 7 .5

Y

X

Z

ha = 156.25 mm, w/ha = 0.8

‚Urban‘ Roughness 4

Michel-Stadt(John Doe‘s Town)

Michael Schatzmann

Motivation

The majority of accidental release models considers mean flow and concentration fields only

Obstacles are not properly taken into account

Transient phenomena like plume meandering are usually neglected

New and innovative approaches are available now. They can significantly improve the situation.

Michael Schatzmann

The New Approach

The US Naval Research Laboratory and Hamburg University developed a new and advanced Emergency management system for the City of Hamburg.

The new emergency management tool is based on two NRL models; (1)a Large Eddy Simulation model and (2)a tool for the rapid display of the results.

Wind tunnel and field experiments were carried out in order to validate the system.

CT-Analyst Presentation

The steps towards realizing the new emergency management tool were:

Features of the New Approach

Michael Schatzmann

Features of the New Approach

1. Select appropriate domains: 16km x 12 km 4km x 4 km

Michael Schatzmann

Features of the New Approach

Geometrical complexity of the 4km x 4 km site

Michael Schatzmann

Features of the New Approach

2. Select an appropriate model and grid:LES –Model “FAST3D-CT”

Domain4km x 4 km with 2.5mresolution

Domain16km x 12 km

with 10mresolution

Michael Schatzmann

Content of the New Approach

3. Do the simulations for x wind directions and y stabilities, scale the results:

Resolution in both cases results in

≈ 210 million cells

≈ 20 GB of memory

time step: ≈ 0.05 s1 h ≈ 6 d

on a 64 CPU

SGI Altix computer

Michael Schatzmann

Features of the New Approach

4. Transfer the results into a data structure which can be read by the display tool “CT – Analyst”:

Data are transferred from FAST3D to CT-Analyst in Form of so-called Nomograf- tables which contain for each grid point the time series of the instantaneous wind vector.

CT-Analyst runs on a LapTop and comes with anuser-friendly interface as common in computer games.

CT-Analyst is fast because it displays pre-computedresults. CT-Analyst only extends these results to all wind directions and wind speeds.

Michael Schatzmann

Content of the New Approach

5. Select a source position. The plume edges are derived from the mean and turbulent flow field as computed by the LES model

6. Assume a plume profile and estimate mean and peak concentrations by applying the mass conservation principle

Michael Schatzmann

Validation of the New Approach

7. Validate the LES-model FAST3D and the emergency management system CT – Analyst:

A: Field Experiments

B: Wind Tunnel Experiments

Validation of the New Approach

Smoke Visualisation and Dispersion Experiments

Michael Schatzmann

Validation of the New Approach

Concentration Measurements:

Measurement Positions

Source

220°

6745 ppt

180 ppt

638 ppt

1716 ppt

73 ppt

501 ppt

591 ppt

Maximal Measured ConcentrationsSF6 Release Rate : 2 g/s

Experiment 2

Michael Schatzmann

Validation of the New Approach

7. Validate the LES-model FAST3D and the emergency management system CT – Analyst:

B: Wind Tunnel Experiments

Michael Schatzmann

Hamburg University‘s Wind Tunnel ‘WOTAN’

Michael Schatzmann

Validation of the New Approach

Wind Tunnel Experiments:

Model Scale: 1:350

Model Size: 1.4km x 3.7km

Wind Direction: 235° (WSW)

Wind Tunnel Measurements:

The Hamburg Radio Transmitter Tower

Time series measured at

different heightsare analysed.

The information is used to generate a proper wind

tunnel boundary layer in the

model scale of 1:350

Michael Schatzmann

Validation of the New Approach

Wind Tunnel Experiments:

Non-intrusivemeasurements of time series

of the wind velocity vector

in a dense array of points

Flow Measurements using LDA:

Release Locations

Wind Tunnel Experiments

Baumwall

z = 3.5m

approach flow

Wind Tunnel Experiments

Ground Level Wind Field within the Canopy Layer

3.5m

approach flow

z = 3.5mAromahaus

Wind Tunnel Experiments

Ground Level Wind Field within the Canopy Layer

Spatial and Temporal Variability of the Wind

2.5m

21m

33m 57m

Wind Tunnel Experiments

Michael Schatzmann

Wind Tunnel Experiments:

Flow visualization and measurement

of concentrationtime series

for many sources at a dense array of receptor points

Concentration Measurements using Fast FID:

Wind Tunnel Experiments

kontinuierliche Freisetzung

Wind Tunnel Experiments

Continuous Release

Wind Tunnel Experiments

Wind Tunnel Experiments

Continuous Release

235°

Gas erreicht Messort nicht

Gas erreicht Messort

Wind Tunnel Experiments

Determination of the Cloud Edges

Instantaneous Release

Wind Tunnel Experiments

Wind Tunnel Experiments

Instantaneous Release

235°Instantaneous Release

Wind Tunnel Experiments

Ian, go on and continue your community-inspiring work