2. PREDICTING THE OPERATIONAL LIFE
OF ZERO-VALENT IRON DURING
ISCR-ENHANCED BIOREMEDIATION
OF TCE AND TCE DNAPL
James G.D. Peale, RG
Erik I. Bakkom, PE
(Maul Foster & Alongi Inc.)
Josephine Molin
Jim Mueller
Andrzej Przepiora
(FMC Environmental Solutions/Adventus)
May 2012
3. Site Overview
Technology Summary
Problem Statement
Analysis
Results
Summary
Implications
TOPICS
4. Former MGP waste site redeveloped for
manufacturing in 1970s
80+ acres adjacent to Portland Harbor NPL site
TCE or TCE+wastewater released from a recycling
system (1980-1985)
Impacts from release discovered in 2002
Source Zone
Impacts from about 15-34 m bgs
TCE up to 592,000 ug/L (DNAPL levels)
No TCE DNAPL observed
Cis-1,2-DCE up to 90,800 ug/L
Very little VC (< 100 ug/L)
Site Overview
6. Technology Summary
EHC
Powdered blend of zero-valent iron (ZVI) and
hydrophilic organic carbon
Creates strongly reducing conditions in groundwater
for in situ chemical reduction (ISCR)
ISCR results in abiotic dechlorination and supports
anaerobic bacteria
KB-1
Anaerobic consortium of dechlorinating bacteria
Includes dehalococcoides sp.
Requires ORP < -75 mV
7. Technology Summary
EHC+KB-1 Full-Scale Implementation
46 m x 21 m x 3 m PRB – Source area only
Injected from ~12 – 34 m bgs
Supplemental upgradient areas
200+ injection points
~269,400 kg EHC
1,831 L KB-1
Direct-push drilling
23 Performance Monitoring Wells
Group 1 – Upgradient or within injection zone
Group 2 – Downgradient of injection zone
10. Technology Summary
Insert TCE normalized plot?
Subset of wells with pre-injection TCE > 11,000 ug/L
y = 0.1145e-0.011x
R² = 0.5859
y = 0.0352e-0.007x
R² = 0.4188
1.E-06
1.E-05
1.E-04
1.E-03
1.E-02
1.E-01
1.E+00
1.E+01
0 100 200 300 400 500 600 700 800 900
C/C0(ug/L)
Time Following Injection (d)
TCE DNAPL Predicted TCE DNAPL Not Predicted Predicted Wells Not Predicted Wells
11. Problem Statement
Remedial action objective is 11,000 ug/L
Threshold indicator for TCE DNAPL
Achieved in less than 12 months
Mean TCE 3 ug/L
Declining cDCE
Abiotic products confirm ZVI performance
Dhc counts 107 – 108
Question: how long can this continue?
Will we see rebound?
12. Problem Statement
How long can we rely on ZVI for residual
CVOCs?
ZVI Consumers
Corrosion by water
Oxidation by CVOCs
Oxidation by sulfate
Wide range for longevity in experience
and literature
15 years for granular ZVI
7 years for micro-scale ZVI
20-750 years (Henderson et al., 2007)
13. Problem Statement
y = -18.852x + 764496
R² = 0.9788
Predicts ZVI Exhaustion in 16 yrs
y = -1.5096x + 65608
R² = 0.4784
Predict ZVI Exhaustion in 201 yrs
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
9,000
12/18/2008 7/6/2009 1/22/2010 8/10/2010 2/26/2011 9/14/2011 4/1/2012
DissolvedFe(Kg)
Date
Rate 1 Rate 2 Linear Trend Linear Trend
14. Analysis
Literature rates applied using t0 data
10 – 20 yrs
Bulk mass estimates (time-dependent)
3D kriging of total mass of Fe over time
10 – 200 yrs based on regression
Geochemical modeling – PHREEQC
Step 1: Inverse to simulate measured
chemistry assuming batch system
Step 2: 1-D transport model to model flowing
system
15. Analysis - Geochemistry
Data from well WS-32-76
Geochemical trends
Highest concentrations of iron (dissolved and
total)
TOC and CaCO3 indicative of carbon
fermentation from the emplaced EHC
“Worst case” – highest EHC consumption
indicated or inferred
17. Analysis – Input Parameters
Input parameters used in geochemical and
transport model
18. Background conditions (∑Fe=1.3E-3 M,
∑C=1.1E-2 M, and ∑S=4.3E-3 M); Fe(OH)2(a),
amakinite [Fe(OH)2], pyrite (FeS2] and
siderite [FeCO3] were assumed as
equilibrium mineral phases.
Analysis - Geochemistry
5 months after EHC injections
(∑Fe=6.5E-2 M, ∑C=7.2E-2 M, and
∑S=4.3E-3 M). Methane generation
was suppressed for equilibrium
calculations.
20. Results
Difference between Fe(t) and Fe(d) indicates
precipitation
Siderite (supersaturation); Fe-sulfides?
Observed Fe controlled by:
DNAPL/CVOC reduction
Methanogenesis, sulfate reduction
Requires carbon fermentation
“Early” ZVI corrosion rate ~ 19 mmol/kgZVI/day
Higher than expected; worst-case data set
Predicts consumption of ZVI in injection + 10 years
Useful?
21. Results – Rate Comparison
Data Method
Rate
(mmol/kgZVI/day)
ZVI Longevity
(yrs) Comment
EVS Mass
Rate 1 Regression/Slope 3.07 16
May overestimate and be
less useful for decision
making
EVS Mass
Rate 2 Regression/Slope 0.24 201
WS32-Early 1-D PHREEQC 19 3 Conservatively fast; based
on “worst-case” data
WS32-Late 1-D PHREEQC 6.3 8
t0 Data Adventus TN Rates 2.3 21
Assumed constant rate and
site-specific “t0” data
EVS Mass of
Fe
Long-term rate based
on 12.5 : 1 Ratio using
WS32-Early as Rate 1 1.5 32
Incorporates changing rate
and bulk Fe data to reflect
actual conditions and
incorporate variability
22. Summary
Literature range sets boundaries
20 – 750 yrs (latter less useful)
Developing data set
Regression provides simple tool for prediction
Dual rates observed and should be considered
Early consumption followed by equilibrium
Modeling is promising approach
Estimates match lower range of regression
Can provide conservative (short) predictions to
improve site planning/closure
23. Implications
Micro-scale ZVI is extremely durable
Data fit well with other observations
Similarity to presumed P&T timeframes (30 yrs)
How do we manage long-term?
Is monitoring required to demonstrate complete
exhaustion?
How can we extend confidence of this long-term
remedy to support site closure?