1 / 34

Field Verification of Computer Codes for Predicting the Fate and Transport of Salt in Soil and Groundwater

Field Verification of Computer Codes for Predicting the Fate and Transport of Salt in Soil and Groundwater. Malcolm Reeves, Erin McCaig, Andrew Karvonen MDH Engineered Solutions Corp. Tony Knafla Equilibrium Environmental Inc. R & D Providers. Alberta Environment. City of Calgary.

ely
Download Presentation

Field Verification of Computer Codes for Predicting the Fate and Transport of Salt in Soil and Groundwater

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Field Verification of Computer Codes for Predicting the Fate and Transport of Salt in Soil and Groundwater Malcolm Reeves, Erin McCaig, Andrew Karvonen MDH Engineered Solutions Corp. Tony Knafla Equilibrium Environmental Inc.

  2. R & D Providers Alberta Environment City of Calgary Petroleum Technology Alliance of Canada

  3. Significance to Industry • Why model the fate and transport of salt? • to integrate data from diverse sources • to highlight data deficiencies • to test conceptual hypotheses • to quantify “unknowns” • to establish probable history • to predict the future from the past • to assess alternative remedial measures

  4. Project Overview • The project was conducted by MDH Engineered Solutions Corp and involved two successive phases between October 2003 and March 2004 • Field Studies • Collected and supplemented data from four diverse field sites • Numerical Model Studies • Verified ability recommended computer codes to predict the behaviour of salt at four diverse field sites

  5. Sources • Model contaminant sources M(x,t) = Q(x,t).C(x,t) can be entered into models in different ways, for example: • Boundary Conditions • Specified mass flux on a boundary • Specified concentration on a boundary • Initial Conditions • Specified spatial distribution of total mass at some time • Specified spatial distribution of concentration at some time • Observed data can be used to : • specify an initial condition for forward modelling • predict an initial condition by history matching • Help determine (calibrate) material properties • ............... • Ideally, model verification requires sites where material properties and sources are fully known in time and space.

  6. Instantaneous Sources Diffusion Advection & Diffusion/Dispersion t2 to t1 to t1 t2

  7. Ambiguous Sources Same Source Mass Same Source Distribution Different Material Properties Different Diffusion Time to t1 t2 to = Same Concentration Profile

  8. Ambiguous Sources Same Material Properties Same Source Mass Different Source Distribution Different Diffusion Time t1 to to t2 = Same Concentration Profile

  9. Ambiguity Explained s = √ (D/2t) There is an infinity of choices for D and t for the same distribution parameter s sA = √ (D/2tA) • = √ (D/2t) Initial source distribution at time tA with the distribution parameter sA will give distribution parameter s after time (t –tA), identical to a uniform source after time t.

  10. Field Sites • Site A Heavy oil sludge soil augmentation trial • Sandy soil • Deep naturally-attenuated saturated zone plume • Site B Drilling mud disposal trial • Clay soil • Small shallow unsaturated zone plume • Site C Pipeline break • Clay soil • Small shallow unsaturated zone plume • Site D Road salt storage • Silty sand and sandstone bedrock • Shallow unsaturated and deep saturated zone plumes

  11. Numerical Codes • The ability of three public-domain codes to model the four sites was verified • CHEMFLO • Oklahoma Agricultural Experiment Station (OAES) • 1D FDM unsaturated/saturated flow and transport • Sorption reactions • UNSATCHEM • United States Salinity Laboratory (USSL) • 1D FEM unsaturated/saturated flow and transport • Ion exchange, sorption reactions • VS2DTI • United Sates Geological Survey (USGS) • 2D FDM unsaturated/saturated flow and transport • Ion exchange, sorption reactions • Also included for continuity with earlier work • LEACHM • J.Huston (researcher) • 1D FDM unsaturated flow and transport • Ion exchange, sorption reactions

  12. 0 m 100 m Scale 1:1000 Site C: Pipeline Break Site Plan Pipeline Excavation Boundary to 2.0 mbgs BH 5, MW 03-5 MW 02-3A BH 02-1 BH 02-2 BH 6, MW 03-6 BH 1 MW 02-2A (destroyed) BH 8, MW 03-8C BH 8, MW 03-8B BH 8, MW 03-8A Estimated Impact Area BH 02-1A BH 02-1B BH 7, MW 03-7A BH 4, MW 03-4

  13. Clay Till Ks= 3x10-8 m/s Site C: Pipeline Break Problem Infiltration = 2 mm/yr • Models Used: • UNSATCHEM • CHEMFLO • LEACHM 0 mbgs Instantaneous Applied Source = 70 g/L Chloride (1715 kg) Silty Clay Ks= 8x10-8 m/s 2.5 mbgs Sand Ks= 1x10-5 m/s 3.5 mbgs Water Table at 3.6 mbgs 10 mbgs Constant Pressure Head = 6.4 m

  14. Site C: Pipeline Break Results 0 mbgs 17.0 70 g/L Chloride 17.0 Silty Clay 17.2 17.1 2.5 mbgs 11.8 Sand 3.5 mbgs 18 10 5 15 0 Chloride Concentration (g/L) Time = 2002 Clay Till BH1 BH-02-02 LEACHM Result UNSATCHEM Result CHEMFLO Result 10 mbgs

  15. Site C: Pipeline Break Results 0 mbgs 70 g/L Chloride Silty Clay 3.3 3.3 2.5 mbgs 4.4 Sand 3.5 mbgs BH8 UNSATCHEM Result Clay Till CHEMFLO Result 10.0 5.0 2.5 7.5 0 Chloride Concentration (g/L) Time = 2003 10 mbgs

  16. Site C: Pipeline Break Discussion • Site C is a shallow site in a clay soil • The source release is recent (4 years) • Little movement has occurred • Model match is precise and easy to obtain • BUT…… • Source term is unconstrained • Solution is highly ambiguous • Any predictions likely of low reliability

  17. Site B: Drilling Mud Site Plan Type of Chloride Application Application Rate (kg/ha) KCl 1 0 2 500 3 1000 4 2000 5 4000 NaCl 6 0 7 350 8 700 9 1400 10 2800 Boreholes used to verify model

  18. Water Table at 16 mbgs Silty Till Ks= 4x10-9 m/s Site B: Drilling Mud Problem Infiltration = 20 mm/yr • Models Used: • UNSATCHEM • CHEMFLO • LEACHM 0 mbgs Applied Source = 9.7 g/L Chloride 3400 kg/ha 20 mbgs Constant Pressure Head = 4.0 m

  19. 290 280 Silty Till Ks= 4x10-9 m/s M413-K M413-J M413-L M413-D UNSATCHEM Result LEACHM Result Site B: Drilling Mud Results 9.7 g/L Chloride 85 270 0 mbgs 370 160 5 mbgs 0 100 200 400 300 10 mbgs Chloride Concentration (mg/L) 15 mbgs 20 mbgs

  20. Site B: Drilling Mud Discussion • Site B is a shallow site in a clay soil • The source release is relatively old (16 years) • Relatively little movement has occurred • Present day data is scattered • Model match is not exact and difficult to obtain • BUT…….. • Source term is reasonably well constrained • Lateral dilution affects 1D models in long term • History match should “over predict” peak concentration • 1D model is inherently conservative over time • Predictions likely upper bound estimates

  21. Site A: Heavy Oil Sludge Site Plan Topographic Low M413-20 To Hwy #16 M413-19 Bush M413-24 M413-16 M413-22 Bush Original Boreholes M413-7 2004 Boreholes M413-2 CC M413-5 FC Fallow Crop CC Continuous Crop M413-15 FC CC M413-1 0 m 100 m Bush Scale 1:3000

  22. Water Table at 3.2 mbgs Sand Till Ks= 8x10-4 m/s Ks= 2x10-8 m/s Site A: Heavy Oil Sludge Problem Applied Source = 220 g/L Chloride for 3 months • Model Used: • VS2DTI Infiltration = 12 mm/y Infiltration = 12 mm/y 0 mbgs Infiltration = 2 mm/y Silt Ks= 1x10-6 m/s Direction of Groundwater Flow Seepage Face 5 mbgs Total Head = - 3.2 m No Flow Boundary 10 mbgs 14 mbgs 680 m No Flow Boundary 0 m

  23. Moisture Content Pressure Head Saturation Darcy Flux Site A: Heavy Oil Sludge Model

  24. 1 year 5 years 10 years 15 years Site A: Heavy Oil Sludge Results

  25. Site A: Heavy Oil Sludge Results Applied Source = 220 g/L Chloride for 3 months 18 years Seepage Face

  26. Site A: Heavy Oil Sludge Discussion • Site A is a relatively deep site in a sandy soil • The source release is relatively old (18 years) • Much movement has occurred • Present day data is ambiguous • 2D saturated/unsaturated model needed • Model match is not exact and difficult to obtain • BUT…….. • Source term is reasonably well constrained • Model simulation is plausible • Results are consistent with site data

  27. 0 m 100 m Scale 1:2000 Site D: Road Salt Storage Site Plan Stockpile Aggregate with NaCl 1 1 2 Silo with Pure NaCl Salt Storage Area 2 117 St NW Main Building Stockpile Aggregate with NaCl & CaCl 3 3 Bus Parking & Storage Area Retention Pond Parking Area Bearspaw Dam Road Infiltration Gallery Canadian Pacific Rail Line Bow River Bushes

  28. Sandstone Shale Ks= 1.25 x10-9m/s Ks= 2.5x10-6 m/s Site D: Road Salt Storage Problem Applied Source = 220 g/L Chloride Annually for 2 months • Model Used: • VS2DTI Pressure Head = 0 m Infiltration = 20 mm/yr 0 mbgs Silty Sand Ks= 5.0 x10-6 m/s Water Table at 6.5 mbgs 8.5 mbgs Pressure Head = 0 m 13.5 mbgs No Flow Boundary Total Head = - 6.5 m 22 mbgs No Flow Boundary 334 m 0 m

  29. Moisture Content Pressure Head Darcy Flux Saturation Site D: Road Salt Storage Results

  30. 5 years 1 year 46 years 19 years Site D: Road Salt Storage Results

  31. Site D: Road Salt Storage Discussion • Site D is a relatively deep site in a sandy soil • The source release is relatively old (25+ years) • Much movement has occurred • Present day data is clear at discharge point • 2D saturated/unsaturated model needed • Model match is not exact and difficult to obtain • BUT…….. • Source term is reasonably well constrained • Model simulation is plausible • Results are consistent with site data

  32. Conclusions • Model results mimic observed data using information from detailed site investigations • CHEMFLO, UNSATCHEM, VS2DTI performed as expected and were verified at three sites • The pipeline-break site could not be used for verification but the modelling helped constrain the probable mass spilled • Recent shallow spills are easy to match with models but predictive capability is likely limited • The verification study suggested that reduced data sets would make model conceptualization much less reliable • Modelling provided a powerful interpretive and predictive tool but is not a substitute for high-quality, site-specific data

  33. Acknowledgements • Alberta Environment • PTAC Soil Salinity Working Group • Special thanks to: • Les Henry, Professor Emeritus, Soil Science, U of S • Dan Bulat, Envirotech Engineering Inc. • Roxanne Pauls, MDH Engineered Solutions Corp

  34. Thank you for your attention March, 2005

More Related