The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu...

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he Ira A. Fulton School of Engineering Arizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental Engineering Ira A. Fulton School of Engineering Site-Specific Modeling in the Context of the OSWER Guidance? OSWER Guidance

Transcript of The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu...

Page 1: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

Paul Johnson, Ph.D. Lilian Abreu Ph.D. CandidateDepartment of Civil and Environmental EngineeringIra A. Fulton School of Engineering

Site-Specific Modeling in the Context of the OSWER Guidance?

OSWER Guidance

Page 2: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

Tier 3: Site-Specific Pathway Assessment“Modeling is considered to be useful for determining which combination of complex factors (e.g., soil type, depth to groundwater, building characteristics, etc.) lead to the greatest impact and, consequently, aid in the selection of buildings to be sampled. It is recommended that sampling of sub-slab or crawlspace vapor concentrations and/or sampling of indoor air concentrations be conducted before a regulator makes a final decision…”

OSWER Guidance (11/29/02)

Page 3: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

Tier 3: Site-Specific Pathway Assessment - Issues

• Why are you limited to near-foundation (e.g., sub-slab) soil gas data in Tier 3, when you can use soil gas data at any depth or groundwater data in Tier 2?

• Why is semi-site-specific J&E modeling used in Tier 2 to assess impacts, but site-specific J&E modeling is not allowed in Tier 3?

• If you allow site-specific modeling to decide on a subset of buildings does not need to be monitored - aren’t you using it to screen out sites?

• If you could do site-specific modeling in Tier 3 - who is qualified to perform it and who is qualified to review the output?

• Future use scenarios/no building currently present?

OSWER Guidance (11/29/02)

Page 4: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

Site-Specific Modeling Options…[What might we do if we ignored the current language in the OSWER guidance?]

1. Site-specific -value determined from “tracer” input

2. Use of J&E model with site-specific inputs

3. Multi-dimensional numerical codes

Page 5: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

Determination of, and use of, a site-specific -value

• measure soil gas and indoor concentration of tracer (a conservative chemical not expected to be confounded by ambient or indoor air background sources; radon, 1,1 DCE, etc.)

• Derive site-specific -value

• Estimation indoor air concentrations for chemicals of concern using that site-specific -value

• measure soil gas and indoor concentration of tracer (a conservative chemical not expected to be confounded by ambient or indoor air background sources; radon, 1,1 DCE, etc.)

• Derive site-specific -value

• Estimation indoor air concentrations for chemicals of concern using that site-specific -value

Option #1

Page 6: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

enclosed space

vapor migration

Diffusion [pseudo-

steady state]

Well-Mixed

Source[steady or transient]

Vapor Source

Use of J&E (1991) model for site-specific assessment

Option #2

Layered settings?

Measured Deff?

Perched water?

Fresh-water lens?

Site-specific =

Qsoil/Qb

Page 7: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

A exp B

exp B A AC

exp B 1

Generalized Sensitivity Assessment of the J&E (1991) Model*

• The output only depends on three parameters (A, B, C)

• If you understand sensitivity to those three parameters, you can quickly assess the sensitivity to any specific input.

P.C. Johnson. 2002. Sensitivity Analysis and Identification of Critical and Non-Critical Parameters for the Johnson and Ettinger (1991) Vapor Intrusion Model. API Technical Bulletin.

A DT

eff

EB (VBAB

) LT

B (QsoilQB

) EB (VBAB

) Lcrack

Dcrackeff

C QsoilQB

Page 8: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

Determine Reasonable Initial Estimates for Primary Inputs{(Qsoil/QB), (VB/AB), , Lcrack, LT, Deff

T, Deffcrack, EB}

Calculate Parameters* {A, B, C}

B<0.1 Other B>3

(AB/C)<0.1

Diffusion is thedominant

mechanism acrossfoundation

Advection is thedominant

mechanism acrossfoundation

Diffusionthrough soilis the over-

all rate-limitingprocess

(AB/C)>10(1+A)Other

Diffusionthrough

foundationis the over-

all rate-limitingprocess

(A/C)<0.1

Diffusionthrough soilis the over-

all rate-limitingprocess

(A/C)>10Other

Advectionthrough

foundation isthe over-allrate-limiting

process

Critical Non-

Critical

(VB/AB) (Qsoil/QB)

LT Lcrack

EB

Critical Non-

Critical

(VB/AB) (Qsoil/QB)

Lcrack LT

EB

Critical Non-

Critical

(VB/AB) (Qsoil/QB)

LT Lcrack

EB

Critical Non-

Critical

(Qsoil/QB) (Qsoil/QB)

Lcrack

LT

EB

Critical Non-

Critical

(VB/AB) Lcrack

LT

EB

(Qsoil/QB)

Result varies with changes in all primaryinputs { (VB/AB), Lcrack, LT, Deff

crack, DeffT,

. EB, (Qsoil/QB)}; however is constrainedto be less than A

A

1 A

DTeff

Dcrackeff

DTeff

Dcrackeff

DTeff

Dcrackeff

Dcrackeff

DTeff

Dcrackeff

DTeff

C

B

C

A

1 A

C

A

A DTeff

E B (VBAB

) LT

, B (QsoilQB

) EB (VBAB

) L crack

Dcrackeff

, C QsoilQB

* ParameterEquations:

Generalized Sensitivity Assessment of the J&E (1991) Model

Page 9: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

Generalized Sensitivity Assessment of the J&E (1991) Model

• If your analysis suggests “high” sensitivity to any inputs…you are probably using:

- an inconsistent set of input values, or

- an unreasonable set or unreasonable range of input values

Most of the time critical*, but pretty well-constrained:

[(VB/AB), LT, DTeff, EB]

Sometimes critical, but data hints at their reasonable values:

[(Qs/QB)]

Rarely critical, and any reasonable value works:

[, Lcrack, Dcrackeff]

Most of the time critical*, but pretty well-constrained:

[(VB/AB), LT, DTeff, EB]

Sometimes critical, but data hints at their reasonable values:

[(Qs/QB)]

Rarely critical, and any reasonable value works:

[, Lcrack, Dcrackeff]

Page 10: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

Needed Improvements…

• Confusion stemming from (improper) use of the EPA spreadsheets could be minimized with the following changes:

1) Reformat the calculations in terms of:

[(VB/AB), LT, DTeff, EB, ,

(Qs/QB), Lcrack, and Dcrackeff]

2) Eliminate the Qs calculation and input (Qs/QB) values based on empirical analysis.

3) Input moisture saturations instead of individual moisture contents and total porosities

4) Integrate the spreadsheet with the graphical flowchart for identifying critical parameters

5) Constrain users to reasonable ranges and combinations of inputs…

1) Reformat the calculations in terms of:

[(VB/AB), LT, DTeff, EB, ,

(Qs/QB), Lcrack, and Dcrackeff]

2) Eliminate the Qs calculation and input (Qs/QB) values based on empirical analysis.

3) Input moisture saturations instead of individual moisture contents and total porosities

4) Integrate the spreadsheet with the graphical flowchart for identifying critical parameters

5) Constrain users to reasonable ranges and combinations of inputs…

Page 11: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

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small diameter tubing

In S

itu

Dif

fusi

on C

oeff

. Mea

sure

men

tssyringe

tracer gas tracer gas

tracer gas

sample volume (≈ 9 cm radius)

1-L tedlar bag

Time = 0 Time = t1

Time = t2Time Soil Gas Withdrawn

% M

ass

Rec

over

ed

Johnson et al. ES&T 1998

Page 12: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

Effect of lateral separation between building and vapor

source?

Effect of building construction (slab vs.

basement)?

Sub-foundation vs. near-foundation soil

gas sampling?

Effect of aerobic biodegradation on

?

Near foundation soil characteristics

Variation in withconcentration,

depth and soil type?

Multi-dimensional multi-component numerical code

Option #3Effect of changing

atmospheric conditions and

occupant habits?

Future use scenarios?

Page 13: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

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0 10 20 30 40 50 60 70 80 90 100

x (m)

-8

-6

-4

-2

0

Dep

th B

GS

(m)

Sample details for simulations

Grid spacing is variable - finer detail near cracks, source boundaries, and domain boundaries

10 m x 10m footprint

30 m x 30 m constant source

(200 mg/L-vapor)

Fine to medium sand

5 Pa constant building under-pressurization 1 mm wide full perimeter crack

12/d exchange

rate

Page 14: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

A Sample Pressure Field…

Symmetrical Simulation - cross-section through plane of symmetry

Page 15: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

0 10 20 30 40 50 60 70 80 90 100

x (m )

-8

-6

-4

-2

0

Dep

th B

GS

(m

)

0.0001

0 10 20 30 40 50 60 70 80 90 100

x (m )

0

10

20

30

40

50

60

70

y (m

)

Changes in with Source Position and Depth…

No biodegradation

Alpha=1.2e-3 , Qs=4.1 L/min

Page 16: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

0 10 20 30 40 50 60 70 80 90 100

x (m )

-8

-6

-4

-2

0

Dep

th B

GS

(m

)

0 10 20 30 40 50 60 70 80 90 100

x (m )

0

10

20

30

40

50

60

70

y (m

)

Changes in with Source Position and Depth…

No biodegradation

Alpha=9.3e-6 , Qs=4.1 L/min

Page 17: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

No biodegradation

Changes in with Source Position and Depth…

Source no longer under building

Page 18: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

0 2 4 6 8 10 12 14 16 18 20 22 24

x (m )

-8

-6

-4

-2

0

Dep

th B

GS

(m

)

0 . 1

0 . 9

0 2 4 6 8 10 12 14 16 18 20 22 24

x (m )

-8

-6

-4

-2

0

Dep

th B

GS

(m

)

0 . 1

alpha=1.2e-3; Qs=4.0 L/min

alpha=6.1e-4 , Qs=5.1 L/min

Changes in with Building Cons-truction

No biodegradation

Page 19: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

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0 2 4 6 8 10 12 14 16 18 20 22 24

x (m )

-8

-6

-4

-2

0

Dep

th B

GS

(m

)

0 2 4 6 8 10 12 14 16 18 20 22 24

x (m )

-8

-6

-4

-2

0

Dep

th B

GS

(m

)

Near-Foundation vs. Through-the-Foundation Sampling?

alpha=1.4e-4 (w/biodegradation)alpha=1.2e-3 (no bio)

Page 20: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

0 2 4 6 8 10 12 14 16 18 20 22 24

x (m)

-18

-16

-14

-12

-10

-8

-6

-4

-2

0

Dep

th B

GS

(m

)

0 2 4 6 8 10 12 14 16 18 20 22 24

x (m)

-18

-16

-14

-12

-10

-8

-6

-4

-2

0

Dep

th B

GS

(m

)0.001

1E-05

Changes in with Depth with Bio-decay

alpha=1.3e-18 (w/biodegradation)alpha=5.7e-4 (no bio)

Page 21: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

In Progress…1. Manuscript #1 – Model development and application to

study of lateral distance and depths vs. impacts.

2. Manuscript #2 – Effects of aerobic biodegradation on impacts (source strength, depth, distance)

3. Study of role of sub-slab characteristics, pressure fluctuations, wind effects, etc.

4. Use of model to develop nomograph identifying sites where impacts may not be significant, based on

• Building footprint

• Depth to vapor source

• Vapor source strength

Page 22: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

Final Thoughts…1. Draft OSWER Guidance is inconsistent with respect

to the role of modeling for site-specific pathway assessment (and the role of modeling in general..)

2. If the role of site-specific modeling is expanded, then we need to be prepared to address:

• What options are allowed?

• What data is required?

• How to ensure that the use of site-specific modeling is technically credible?

Page 23: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

Discussion

Page 24: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

Groundwater Data Interpretation IssuesWith samples collected across conventional well screen intervals, there are multiple realizations that would correspond to the same depth-averaged groundwater concentration (in other words, the measured concentrations do not correspond to a unique vapor transport scenario)

C1 > C2 C2 > C3

Page 25: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

Input Thoughts Reasonable*H, Dair Tabulated Chemical Properties Actual Value

E 10 - 20 d-1 (energy efficiency studies) 12 d-1

(VB/AB) 2 - 3 m (= ceiling height) 2.5 m

(Qsoil /QB) <0.01 (radon studies and Colorado field data) 0.0001 - 0.01

LT 0.5 - 50 m actual value

(m/T) 10% - 50% (vadose zone + crack) 0.10

Lcapillary 1 - 100 cm 5 cm

(m/T) 90% - 98% (capillary fringe) 0.95

T 0.25 - 0.50 0.35

Lcrack 15 - 60 cm (6 - 24 inches) 15

0.0001 - 0.01 (1=bare dirt floor) 0.001

* reasonable conservative value

Model Inputs - what do we know?

Page 26: The Ira A. Fulton School of EngineeringArizona State University Paul Johnson, Ph.D. Lilian Abreu Ph.D. Candidate Department of Civil and Environmental.

The Ira A. Fulton School of Engineering Arizona State University

1.E-04

1.E-03

1.E-02

1.E-01

1.E+00

0 0.2 0.4 0.6 0.8 1

M /T

T = 0.50

T = 0.35Vadose zone soils

DTeff / Dair

Dw

Dair H i

T 1.33

T 1.33

capi

llar

y zo

ne

Sands/ Gravels

Silts/Clays

Sensitivity of DTeff to Moisture Content..

• DTeff not very sensitive to

reasonable variation in moisture content for a given soil type.

• DTeff more sensitive to

variation across gross changes in soil types (i.e. sands -> clay about 5X change).

• The most significant change occurs between vadose zone and capillary fringe soils **however** the magnitude depends on H (beware at small H!)