SCIPUFF Capabilities and Application SCIPUFF Capabilities and - - PowerPoint PPT Presentation
SCIPUFF Capabilities and Application SCIPUFF Capabilities and - - PowerPoint PPT Presentation
SCIPUFF Capabilities and Application SCIPUFF Capabilities and Application in Hazard Assessment in Hazard Assessment Ian Sykes Sage Management Sage Management Princeton, NJ H13-087 HARMO 13 Paris, France 1-4 June, 2010 Lagrangian Puff
Lagrangian Puff Model Lagrangian Puff Model
- Concentration field - collection of overlapping puffs
with Gaussian distributions
- Solve ODE’s for puff moments
- Arbitrary range of scales without numerical grid and
- Arbitrary range of scales without numerical grid and
associated diffusion errors
- Arbitrary time-dependent, spatially inhomogeneous
conditions
- Multiple sources with arbitrary time-dependence
SCIPUFF Generalized Gaussian SCIPUFF Generalized Gaussian
- Uses full tensor moment representation
– describes shear distortion accurately
- Use turbulence closure to describe diffusion
– relates dispersion directly to velocity statistics – valid over wide range of scales – assumed spectral shape implies time-averaging effects – assumed spectral shape implies time-averaging effects
- consistent with theoretical Taylor (ensemble) and Richardson (relative)
diffusion results
( ) ( ) ( ) ( ) ( ) ( ) i j j i j i ij ik jk k k
x u c x u c u d u dt Q x x
α α α α α α
σ σ σ ′ ′ ′ ′ ′ ′ + ∂ ∂ = + + ∂ ∂
( ) ( ) ( ) 2
;
i j i j i j k k
d Aq x u c Q u u x u c q u u dt
α α α
′ ′ ′ ′ ′ ′ ′ ′ ′ ′ = − = Λ
- Absolute Dispersion
– for steady homogeneous conditions – hence
SCIPUFF Idealized Solutions SCIPUFF Idealized Solutions
2
1
Aqt
y v c v e Q Aq
− Λ
′ ′ ′ ′ Λ = −
2
2 1
L
t yy L L
v t e
τ
σ τ τ
−
′ = − −
- Relative dispersion
– model instantaneous plume/puff scale – use reduced turbulence in diffusivity equation – gives early time t1.5 growth
13
;
c c c
d c q dt
Λ
Λ Λ = Λ ≤ Λ Λ
2 1 3 3 2 c c c
d q y v c Qv A y v c dt Λ Λ ′ ′ ′ ′ ′ ′ ′ = − Λ Λ Λ
Concentration Fluctuation Variance Concentration Fluctuation Variance
- Closure theory provides model for both ensemble
mean and variance (second-order correlation)
– fluctuations are due to turbulent wind fluctuations – pdf shape assumption (clipped normal) gives probability
- Requires puff overlaps since variance is nonlinear
- Efficient overlap calculations enable other nonlinear
effects
– buoyant jet rise dynamics – dense gas effects – liquid-vapor phase transition and associated thermodynamics – nonlinear reactive chemistry
Fackrell & Robins (1982) Fackrell & Robins (1982)
100 1000
SCIPUFF Maximum mean data Ground-level data
4 5 6
SCIPUFF
Concentration fluctuation intensity for different source sizes Mean concentration vs downwind distance
0.1 1 10 10 100 1 x/ H CUH2 Q 10 2 4 6 8 1 2 3 4 x/ H ˆ c cm
Nonlinear SCIPUFF Examples Nonlinear SCIPUFF Examples
Reactive chemistry - ozone formation 2-phase chlorine jet, with flashing thermodynamics and dense effects
Z (m)
Model Model Features Features
- Adaptive Timesteps
– Puffs use appropriate step based on local criteria
- Adaptive Surface Grids
– Integrated Dosage and Deposition fields – Provides high resolution over wide range of scales – Provides high resolution over wide range of scales
- Puff Splitting
– Split puffs to represent inhomogeneous meteorology – Algorithm conserves all moments
- Puff Merging
– Merge overlapping puffs – Efficient search using adaptive grids and linked lists
Model Model Evaluation Datasets Evaluation Datasets
- PGT curves
- Relative dispersion
– Weil et al. (1993) – Mikkelsen et al. (1988)
- Lab dispersion and
- EPRI PMV&D
– tall-stack emissions
- CONFLUX
– short range, fluctuations
- Dugway field tests
- Lab dispersion and
fluctuation data
- Buoyant jet rise data
- ANATEX
– Continental-scale field experiment
- Dugway field tests
– short range, instantaneous – relative and absolute dispersion
- Model Data Archive
– includes Prairie Grass and dense gas cases
- ETEX
– Continental scale
MDA Comparisons MDA Comparisons
ntration (ppm) 10
5
10
6
ntration (ppm) 10
5
10
6
ntration (ppm) 10
5
10
6
ntration (ppm) 10
5
10
6
ntration (ppm) 10
1
10
2
10
3
ntration (ppm) 10
1
10
2
10
3
ntration (ppm) 10
1
10
2
10
3
ntration (ppm) 10
1
10
2
10
3
Passive Passive Tracer Releases Tracer Releases Dense Gas Dense Gas Releases Releases
Predicted Concent Observed Concentration (ppm) 10
2
10
3
10
4
10
2
10
3
10
4
10
5
10
6
Predicted Concent Observed Concentration (ppm) 10
2
10
3
10
4
10
2
10
3
10
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10
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6
Predicted Concent Observed Concentration (ppm) 10
2
10
3
10
4
10
2
10
3
10
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10
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10
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Predicted Concent Observed Concentration (ppm) 10
2
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3
10
4
10
2
10
3
10
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10
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10
6
Predicted Concent Observed Concentration (ppm) 10
- 2
10
- 1
10 10
- 2
10
- 1
10 10
1
10
2
10
3
Predicted Concent Observed Concentration (ppm) 10
- 2
10
- 1
10 10
- 2
10
- 1
10 10
1
10
2
10
3
Predicted Concent Observed Concentration (ppm) 10
- 2
10
- 1
10 10
- 2
10
- 1
10 10
1
10
2
10
3
Predicted Concent Observed Concentration (ppm) 10
- 2
10
- 1
10 10
- 2
10
- 1
10 10
1
10
2
10
3
Hazard Assessment Systems Hazard Assessment Systems
- SCIPUFF is the dispersion model component in two
US DoD systems
- HPAC: Hazard Prediction and Assessment Capability
– sponsored by Defense Threat Reduction Agency
- JEM: Joint Effects Model
– DoD Program of Record, Joint Program Executive Office CDB – sponsored by JPM IS (Information Systems)
Hazard Assessment Systems Hazard Assessment Systems
- HPAC and JEM have similar capabilities
– source term models for various incidents
- weapon deployments
- facilities attacks or explosive events
– human effects models
- chemical/biological effects
- nuclear radiation
- global population database
- casualty estimation
– urban dispersion nested models
- building database
– meteorological data servers
- forecast and observations
- global terrain database