Waveform Modeling and Comparisons with Ground Truth Events David Norris BBN Technologies 1300 N. 17...

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Waveform Modeling and Comparisons with Ground Truth Events David Norris BBN Technologies 1300 N. 17 th Street Arlington, VA 22209 [email protected] 703-284-1348 14 Nov 2007

Transcript of Waveform Modeling and Comparisons with Ground Truth Events David Norris BBN Technologies 1300 N. 17...

Waveform Modeling and Comparisons with Ground Truth Events

 

David Norris

BBN Technologies

1300 N. 17th Street

Arlington, VA 22209

[email protected]

703-284-1348

14 Nov 2007

Motivation

• Quantify terrain effects on predicted travel times and waveform parameters

• Provide seamless integration between terrain and atmospheric specifications

• Improve overall propagation modeling capabilities and suite of tools that can be utilized by analysts and researchers

InfraMAP – Infrasonic Modeling of Atmospheric Propagation

Terrain Modeling Approaches

• Goal is to quantify the lower boundary condition for propagation modeling over complex terrain

• General approaches:

• Stair-stepping or Terrain Masking– Terrain realized as a series of stair steps– Results in the terrain being modeled as a series of knife-edge diffractors– All surface reflections approximated by tip diffraction– Assumes perfectly reflecting surface

Terrain Modeling Approaches (Cont.)

• Piecewise Conformal Mapping– Propagation coordinates are transformed into terrain-following arcs– Each arc is applied over a defined piece of the total terrain profile– Helmholtz equation and fundamental form of PE solution do not change– The mapping in implemented by applying a modified index of refraction

over a uniform grid

Terrain Modeling Approaches (Cont.)

• Piecewise Linear Shift Mapping– New coordinate system based on shifting height to follow terrain– Recomputed at each range step – Results in rederivation of Helmholtz equation– Additional terms must be numerically addressed in PE solution

r

z

T(r)

r

U(r) = z – T(r)

Terrain Masking Approach

Range (km)

He

igh

t (km

)

PE with absorption: Amplitude Field (dB re 1 km)

0 50 1000

5

10

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0

Range (km)

He

igh

t (km

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PE with absorption: Amplitude Field (dB re 1 km)

0 50 1000

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0

Range (km)

He

igh

t (km

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PE with absorption: Amplitude Field (dB re 1 km)

0 50 1000

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0

Range (km)

He

igh

t (km

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PE with absorption: Amplitude Field (dB re 1 km)

0 50 1000

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0

Range (km)

He

igh

t (km

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PE with absorption: Amplitude Field (dB re 1 km)

0 50 1000

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Range (km)

He

igh

t (km

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PE with absorption: Amplitude Field (dB re 1 km)

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Mt. Everest

Mt. Fuji

Mt. Everest

Mt. Fuji

• Terrain masking integrated into Parabolic Equation (PE) and Time-Domain Parabolic Equation (TDPE) models

• Test case of PE predictions with 10 km wedge

2.0 Hz 0.2 Hz

Hypothetical Scenario

• Source just East of Mt. Fuji

• 400 km propagation to West

• PE predictions at 2 Hz– Significant interference pattern

near source due to nearby terrain features

– Effects at range not obvious 0 50 100 150 200 250 300 3500

500

1000

1500

2000

2500

Range (km)

Hei

ght (

m)

ETOPO2 Topography

Distance = 400.0 kmBearing = 272.8 deg

Range (km)

He

igh

t (km

)

PE with absorption: Amplitude Field (dB re 1 km)

0 100 200 300 4000

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Range (km)

He

igh

t (km

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PE with absorption: Amplitude Field (dB re 1 km)

0 100 200 300 4000

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0No Terrain Terrain

Hypothetical Scenario (cont.)

• PE predictions 1 km above sea level at 2 Hz

– First arrival with terrain 30 km shorter in range

– First arrival structure more complex with terrain

• TDPE predictions over 1-3 Hz at 207 km range

– Waveform with terrain more disperse than without terrain

– Decrease in peak amplitude in terrain case

Terrain

0 50 100 150 200 250 300 350 400-100

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0

Range (km)

Am

plit

ud

e (

dB

re

1 k

m)

PE with absorption: Amplitude vs. Range, Height: 1 km

terrainno terrain

800 850 900 950 1000 1050 1100-4

-3

-2

-1

0

1

2

3

4

Absolute Travel Time (sec)

Am

plit

ud

e (

Pa

)

Time-domain PE with absorption: Amplitude vs. Time, Height: 1 km

terrainno terrain

Henderson Event

• Two major chemical explosions occurred in Henderson, Nevada on May 4, 1988

• Explosions resulted from plant fire which ignited stores of ammonium perchlorate

• Estimated surface burst yields of 0.7 and 1.8 kT

“Infrasonic Signals from the Henderson, Nevada, Chemical Explosion,” Mutschlecner, J. and R. Whitaker, LA-UR-06-6458, 2006

Henderson Event

Detection at SGAR

• Infrasound detections– St. George, Utah

(SGAR), range 159 km– Los Alamos, New

Mexico (LANL), range 774 km

• SGAR– Both major explosions

observed with similar waveforms

– Two arrivals• First arrival consistent

with surface wave (group velocity 332 m/s)

• Second arrival consistent with stratospheric or thermospheric path (group velocity 275 m/s)

(meters)

-6000

0

6000

longitude (deg)

latit

ud

e (

de

g)

ETOPO2: Topography (meters)

UNITED STATES

S R S

R

-115 -110 -105

32

34

36

38

40

42

0 20 40 60 80 100 120 140 1600

200

400

600

800

1000

1200

1400

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1800

Range (km)

Hei

ght (

m)

ETOPO2 Topography

Distance = 168.6 kmBearing = 49.3 deg

Range (km)

He

igh

t (km

)

0 50 100 1500

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Range (km)

He

igh

t (km

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0 50 100 1500

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0No Terrain Terrain

PE Prediction: 0.2 Hz

• PE prediction at 0.2 Hz through climatology (HWM/MSIS)• No energy predicted to reach SGAR due to lack of stratospheric duct• Terrain results in deeper shadow zone

Small-Scale Atmospheric Variability• Mean Zonal and Meridional Winds specified using NRL-G2S

• Horizontal Wind perturbations specified using Spectral gravity wave model– Range-dependent Horizontal Correlation Length: 50 km

• Total wind field along propagation path realized from sum of mean and perturbed components

NRL-G2S Mean Total RealizationGravity Wave Perturbation

range (km)

he

igh

t (km

)

0 50 100 150 200 2500

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range (km)

he

igh

t (km

)

0 50 100 150 200 2500

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0

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range (km)

He

igh

t (k

m)

0 50 100 150 200 2500

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Wind along propagation Path

Range (km)

He

igh

t (km

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PE with absorption: Amplitude Field (dB re 1 km)

0 50 100 1500

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Range (km)

He

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PE with absorption: Amplitude Field (dB re 1 km)

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No Terrain Terrain

PE Prediction: 0.2 Hz

• PE prediction at 0.2 Hz through climatology (HWM/MSIS)• Horizontal wind perturbations introduced by gravity waves model• Terrain results in more distinct scattering paths

500 550 600 650 700-1

-0.5

0

0.5

1

Absolute Travel Time (sec)

Am

plit

ud

e (

Pa

)

500 550 600 650 700-1

-0.5

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Absolute Travel Time (sec)

Am

plit

ud

e (

Pa

)

Waveform Comparison

• Bandpass filter 1-3 Hz

• Terrain introduces more spreading in waveform arrival -4

-2

0

2

4

Am

plit

ud

e (

Pa

)

No Terrain

Terrain

Data

Interface with Atmospheric Specifications

• How terrain/atmospheric boundary condition is handled may have significant effect on prediction performance

– Masking of atmospheric profiles near terrain

– Mesoscale atmospheric effects over regions such as mountains

Terrain

Flat Earth Assumption

Terrain Blocking Assumption

EffectiveSoundspeed

Terrain matching Assumption

Conclusions and Future Research

• Preliminary Conclusions– Terrain appears to disperse down-range waveforms in cases where

significant terrain features are in proximity of source

• Issues for further research– Comparison of terrain masking, conformal mapping, and linear shift

mapping approaches – Sensitivity to ground impedance specification and its variability over

typical propagation paths– Required Topographic database resolution