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RPIC: Federal Contaminated Sites Workshop
May 2012
Lindsay Smith-Munoz, Ian Hers, Meghan Roushorne,
Jo-Ann Aldridge, Asish Mohapatra
Comparison of Observed Vapour Attenuation versus Model Predicted for Sites
Contaminated with Chlorinated Solvents
Summary
• Goal of study was to compare modeled vapour intrusion attenuation factors to those calculated from site data
• Data was gather from multiple sources, and needed to be filtered to control quality, and the influence of background
• Compared to Health Canada’s vapour intrusion model which is based on the Johnson and Ettinger model
• Model was not found to be consistently conservative, but data issues may be partially responsible
2
Study Description
• Compare model predictions to measured values
• Chlorinated Solvents
• Northern Regions
• Gathered data through informal networks, combined with US EPA database
4
Data Characteristics
• Different countries, years, techniques
• Sites with subsurface and indoor air samples (3 months)
• Important details missing or inferred
Sample depth, soil type, screen intervals etc.
5
Filtering
• Remove Influence of Background Source Strength
Consistency between multiple chemicals
Detection Limit
0.01
0.1
1
10
100
1000
1 100 10000 1000000
Background
No Background
Source Vapour Concentration (ug/m3)
Indo
or A
ir C
once
ntra
tion
Filtering For Source Strength
1.E-07
1.E-06
1.E-05
1.E-04
1.E-03
1.E-02
1.E-01
1.E+00
1.E+00 1.E+02 1.E+04 1.E+06 1.E+08
Att
enua
tion
Fact
or
Soil vapor f rom groundwater (ug/m3)
IA > RLIA < RLRes CG 1mRes CG 30mRes-FG-1mRes FG 30m
G
1.E-07
1.E-06
1.E-05
1.E-04
1.E-03
1.E-02
1.E-01
1.E+00
1.E+00 1.E+01 1.E+02 1.E+03 1.E+04 1.E+05 1.E+06 1.E+07 1.E+08
Att
enu
atio
n F
acto
r
Soil Vapour from Groundwater (ug/m3)
IA > RLIA < RLRes CG 1mRes CG 30mRes-FG-1mRes FG 30m
G
Health Canada’s Vapour Intrusion Model
• Partitioning into soil pore space vapour, diffusive and advective transport into buildings, mixing in building
• Model uses an empirical flow rate into building
• No adjustments to model predictions for partitioning or biodegradation
• More conservative than CCME for BTEX, wanted model to be more widely applicable, and to be applicable at sites where there is not sufficient data to determine if biodegradation is occurring.
9
Results -- Groundwater
1.00E-05
1.00E-04
1.00E-03
1.00E-02
1.00E-01
1.00E+00 Residential
Coarse Residential
Fine Commercial Coarse and
Fine
Predicted Attenuation (1-10m depth) Empirical Attenuation (25-75%iles)
Median
95th Percentile
Atte
nuat
ion
Fact
or
Results - Soil Vapour
1.00E-04
1.00E-03
1.00E-02
1.00E-01
1.00E+00 Residential
Coarse Residential Fine Commercial
Coarse and Fine
Predicted Attenuation (1-10m depth) Empirical Attenuation (25-75%iles)
Median
95th Percentile
Atte
nuat
ion
Fact
or
Results – Subslab Samples
12
1.00E-04
1.00E-03
1.00E-02
1.00E-01
1.00E+00 Subslab Empirical
Attenuation (25-75%iles)
Recommended Subslab Attenuation Factor (0.02)
95th Percentile
Atte
nuat
ion
Fac
tor
Recommendations
• The importance of adequate, good quality data can not be underestimated
• Predict within 10x acceptable risk Review data (2 samples, 2 sides of building, 2 seasons)
Fill data gaps, consider multiple lines of evidence, subslab sampling
For commercial buildings, check building parameters for correspondance with model assumptions (may need DQRA spreadsheet)
Acknowledgements
• Health Canada: Odette Bose, Heather Jones-Otazo, Frederic Valcin, Deborah Schoen, Bertrand Langlet, Michelle Giddings
• Alaska DEC: Todd Blessing, Rich Sundet, Janice Weigers, Ann Farris
• OMOE: Camilo Martinez
• NB Dept of Environment: Michel Poirier
• Golder Associates: Theresa Repaso-Subyang, Lena Torin (Göteborg)
• Department of Defense: Julie Dalgard
• Oasis Environmental: Ben Martich
• US EPA