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Transcript of SABrownfields_VaporIntrusion-20110920-live
Vapor Intrusion AssessmentsGoing Beyond Basics
Kevin L. Long, ENVIRONPresented to the Brownfield Communities Network in associated with the National Association of
Local Government Environmental Professionals
September 20, 2011
Asheville, North Carolina
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Presentation Outline
Conceptual model of vapor intrusion
Basic approaches and pitfalls
Going beyond basics – 3 examples
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Conceptual ModelMain Aspects and Key Factors
Modified from USEPA (2004) User’s Guide for Evaluating Subsurface Vapor Intrusion Into Buildings
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Basic Approaches
Indoor air sampling– Collect indoor air data– Compare to generic risk-based indoor air screening levels
and/or calculate cumulative cancer and noncancer risk
Empirical attenuation factors– Collect soil gas data – Apply attenuation factor defined as:
– USEPA’s 2002 and 2008 databases of empirical attenuation factors
Mathematical modeling– Mechanistic model by Johnson and Ettinger (1991)– USEPA spreadsheets for Johnson and Ettinger model
vapor
bldg
C
C
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Basic ApproachesPitfalls With Indoor Air Sampling
From USEPA (2011) Background Indoor Air Concentrations of Volatile Organic Compounds in North American Residences (1990–2005): A Compilation of Statistics for Assessing Vapor Intrusion
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Basic ApproachesPitfalls With Indoor Air Sampling
Indoor air data typically characterize short-term conditions, but assessments are supposed to be concerned with long-term exposures
From Hubbard and Others (1996) Studies On Temporal Variations Of Radon In Swedish Single-Family Houses. Environment International, vol. 22, Suppl. 1, pp. S715-S722.
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Basic ApproachesPitfalls With Indoor Air Sampling
IA sampling is impractical for assessing sites before new buildings are built
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Basic ApproachesPitfalls With Indoor Air Sampling
Generic IASLs are sometimes inappropriate for exposures in a particular building
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Basic ApproachesPitfalls of Using Empirical Attenuation Factors
USEPA generic attenuation factors: 0.1 for sub-slab; 0.01 for soil gas; 0.001 for groundwater
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Basic ApproachesPitfalls of Using Mathematical Modeling
From USEPA Johnson and Ettinger (1991) Model for Subsurface Vapor Intrusion into Buildings
(http://www.epa.gov/oswer/riskassessment/ airmodel/johnson_ettinger.htm)
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Beyond the BasicsExamples
1. Stop the vapor intrusion assessment from “creating” contaminant mass
2. Use knowledge about the building’s ventilation system to estimate α
3. Use a more realistic model of the soil moisture profile
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Beyond the BasicsMass Balance Check
Cair
(mg/m3)Csoil
(mg/kg)Depth
(m)MassRatio
Benzene 0.016 1 3 1.9Ethylbenzene 4.400 10 3 52.2Toluene 22.000 10 3 261.2Xylenes 0.440 10 3 5.2
Basis:Cair is for commercial/industrial; risk = 1E-5 or HQ = 1Air exchange rate 1 per hrBuilding height 2.44 mExposure duration 25 yrSoil bulk density 1.5 kg/L
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Beyond the BasicsVentilation System Knowledge
We can show (by using mass balance) that an upper-bound α is given by:
The outdoor air flow rate through the building is Qbldg
The soil vapor entry rate Qsoil can be estimated by incorporating knowledge about the indoor-outdoor pressure difference that the ventilation system is designed to maintain
bldg
soil
Q
Q
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Beyond the BasicsVentilation System Knowledge
Building TypeQsoil
(L/min)Ach
(1/hr)Lbldg
(m)Hbldg
(m)Qbldg
(L/min) EPA residential basement 5.00 0.25 10.0 3.66 1525 3.E-03EPA residential slab 5.00 0.25 10.0 2.44 1017 5.E-03MDEQ residential basemt 0.05 1.00 10.6 4.88 9070 5.E-06MDEQ commercial/ind 0.13 2.00 19.3 2.44 30264 4.E-06Positive pressure building 0.00 any reasonable value ~ 0E-00
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Beyond the BasicsSoil Moisture Profile
Soil moisture is the most important factor in determining a rate of diffusion
USEPA’s spreadsheet uses a simplified method that underestimates soil moisture
USEPA guidance allows the use of a more scientific method (the HYDRUS model)
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Beyond the BasicsSoil Moisture Profile
Moisture Profile
Effective Diffusion
Coarse Soil
Fine Soil
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ConclusionKey Points
Generic assessment methods incorporate many conservative, simplifying assumptions, which often grossly overestimate vapor intrusion risk in many situations
Some gross overestimation can be checked by applying fundamental scientific principles, such as the law of mass conservation
Some generic assumptions about building characteristics can be avoided by using site-specific knowledge, such as details of the building’s ventilation system design
Some simplifications are only for convenience (such as USEPA’s JEM spreadsheets), and can be avoided when necessary by using more robust and readily available computational tools
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Kevin L. Long | ManagerENVIRON | www.environcorp.com
214 Carnegie Center, Suite 200 | Princeton, NJ 08540-6284
V: 609.951.9048 | F: 609.452.9310 | [email protected]