4.2.0    Cosolvent Solubilization (Cell f)

The University of Florida, in cooperation with the U.S. EPA, operated the cosolvent solubilization cell. It was the first of the test cells constructed and instrumented.  Some of the procedures and program strategy for the eight other test cells at Hill AFB, OU1 were developed based on information from this test. The cell layout is shown in Figure 4.2.0.1.  The test cell was approximately 4.3 m by 3.5 m with four injection wells, three extraction wells and twelve multilevel samplers. The injection wells were along the south side of the cell and the extraction wells were along the north side of the cell. The well labels match the location information in the database attached in the supporting data section. The elevations indicated are the elevation of the top of the device.

Essentially, seven studies were performed in this test cell. Initially, the formation was sampled by soil coring  during the installation of wells and multilevel samplers.  The core samples were analyzed for a group of chemicals initially believed to be representative of the site and of regulatory concern.  The selected chemicals represented several classes of contaminants. Following the installation of the instrumentation, the formation was allowed to re-equilibrate before any additional measurements were made.  Ground-water samples were collected under both static and dynamic conditions.  Injecting uncontaminated ground-water into the formation simulating a forced gradient flush or water flood created the dynamic flow conditions.  The static samples would be representative of the maximum concentration that would be anticipated in water samples from this location.  Ground-water sampling was followed by a pre-remediation tracer study.  The pre-remediation tracer study was designed to estimate the total mass of NAPL in the formation.  Once the pre-remediation tracer study was completed, the remedial technology was implemented and its performance monitored.  At the termination of the remedial demonstration, the three characterization steps were repeated in reverse order.  Analysis of this data permits an evaluation of the technology.

The cosolvent flush took place over a ten-day period followed by 20 days of flushing with water. The flow rate through the cell was approximately 3 l/min. This was equivalent to pumping approximately one pore volume through the cell per day. This flow rate produced an average hydraulic gradient of 0.05 or 0.2 m across the cell. The properties of the flushing fluid are shown in Table 4.2.0.1. Two different solution compositions were used initially ethanol (72% by volume) was injected for approximately two days by gradually increasing the percentage of remedial fluid over the first 24 hr period in an attempt to minimize the effects of density. After two days of injection the mixture was modified such that it was approximately 70% ethanol, 12% n-pentanol, and 18% water by volume. After approximately 9.5 days, the pentanol was removed from the flushing solution and the original mixture was used to remove the n-pentanol. During the final day of remedial fluid injection, the concentration of water was ramped up to 100% water. The ramping was performed in an effort to minimize the unstable flow conditions generated by the viscosity and fluid density differences.

Table 4.2.0.1 Properties of Cosolvents
Property
Ethanol
n-pentanol
Cosolvent mixture
Density (g/cm3)
0.789
0.811
0.855
Viscosity (cP @ 25oC)
1.0826
3.5128
2.16
Boiling Point (oC)
78.5
137.3
N.D.*
Flash point (oC)
13
38
N.D.
Molecular weight (g/mol)
46.07
85.15
...
Aqueous solubility (wt % @ 25oC)
completely miscible
2.19
completely miscible
* Not determined

 Table 4.2.0.2 Operating conditions for the experiments
Parameter
Activity
Pre-Remediation Tracer Demonstration Post-Remediation Tracer
Average Saturated Thickness (m)  1.5  1.5 1.5 
Average Gradient Across Cell (m/m)  0.05  0.07 0.05 
Average Influent Flow rate (lpm)  3.2  3 3.3 
Average Effluent Flow rate (lpm)  3.2 3.3 

Table 4.2.0.3 Study sequence
Test Activity Fluid Injected  Total Flux Rate (l/m)- Volume (l) Duration
Core and install instrumentation Collect soil samples None    6/29/94 - 7/8/94
Ground-water sampling Collect water samples None    7/8/94
Pre-remediation tracer Establish flow field Water  3.2  9/21/94
  Inject tracer suite 1  Water with tracers  3.2  9/23/94
  Maintain flow field Water  3.2  10/4/94
Remedial technology Establish flow field  Water  3  4/11/95
  Inject remedial fluid  Ethanol-pentanol-water  3  4/12/95-4/23/95
  Remove pentanol  Ethanol-water  3  4/23/95-4/25/95
  Remove ethanol Water  3  4/25/95-5/20/95
Post-remediation tracer Establish flow field  Water 3.3   6/1/95
  Inject tracer suite 2  Water with tracers  3.3  6/2/95
  Maintain flow field  Water  3.3  6/13/95
Ground-water sampling Collect water samples None    6/16/95
Core  Collect soil samples None    6/15/95-6/18/95

4.2.1    Core Analysis

The core analysis for each of the chemicals shows a very high removal of the contaminants from the cell.  The figures plot the concentration of the individual contaminants as a function of depth without regard for spatial location within the test cell.  Black data points represent soil core data collected prior to remediation and the blue data points represent the observations collected after remediation.  The vertical bars are the means for the values over the bars depth zone.  Where possible, 95% confidence limits are plotted and represented by the small + at the center of the bar.  At the top of the figure, several different methods are reported to calculate the total mass in the target zone of the test zone.  The two magenta lines depict the vertical extent of the target zone and the surface area within the cell is printed at the top of the figure.  The remaining contamination appears to be at the very bottom of the cell and within the clay. The target zone is limited to the portion of the aquifer that was solution saturated. The dichlorobenzene data shown in Figure 4.2.1.1 dichlorobenzene suggest that the dichlorobenzene was removed above the target zone. Flow also existed through the capillary fringe and within the unsaturated zone. This may have resulted in removal of the dichlorobenzene in areas not targeted. There is no evidence of removal of dichlorobenzene below the clay interface.  The removal percentage is in the range of 96.2% to 99.3%.  The geostatistical approach gave the lowest removal fraction.  Four out of five methods suggested 99% or greater removal.

The decane removal pattern is quite similar to that for dichlorobenzene (Figure 4.2.1.2  decane). After remediation, decane was present at a couple of locations within the upper portion of the profile but most samples were at or below the detection limits. Again, there was a significant amount of decane left near the bottom of the aquifer. There are two possible explanations for having difficulty in removing contaminants near the clay. The ethanol/pentanol flushing fluid is less dense than water. One potential explanation would be that the remedial fluid was not effectively delivered to the lower portion of the aquifer because of the density. Another explanation would be that undulations in the clay/sand interface created stagnant pools or regions that were not perfused by the remedial fluid. The removal percentage is in the range of 96.1% to 98.8%.  The geostatistical approach gave the lowest removal fraction.  Four out of five methods suggested 98% or greater removal.

Naphthalene was also effectively removed through the majority of the profile (Figure 4.2.1.3  naphthalene). The percentage of samples that were below detection limits and also below the clay interface appeared to increase. However, one should not conclude that this was actual removal because the pattern with the other chemicals would suggest that the remedial fluid did not sweep this volume of the profile. The removal percentage is in the range of 83.4% to 88.2%.  Only two of the samples contained naphthalene in quantifiable concentrations.  The low initial concentration and the way we assumed the concentration was 0.5 times the quantification limit if no quantifiable contaminant was present biases the reporting of removal efficiency for naphthalene.

Only small amounts of 1,1,1-trichloroethane (TCA) were present in the profile initially, as can be seen in Figure 4.2.1.4  1,1,1-trichloroethane. Statistically, one would say that there was good removal. The variation in the numbers plotted is due to the size of the samples used in the analysis. Since none of the samples have quantifiable 1,1,1trichloroethane at the end of the remediation, one might suggest 100% removal.  This is not likely correct, but the amount remaining is very small. Based on detection limits the TCA removal efficiency is probably greater than 99%.

Toluene was not as effectively removed as the other chemicals, as can be seen in Figure 4.2.1.5  toluene. There were several occasions where toluene concentrations in the post-remediation samples were in the same range as the concentrations in the pre-remediation samples. All of the core analyses were performed on the same set of core samples. Toluene should be no more difficult to remove than the other chemicals included in the discussion. No hypothesis is proposed to explain this lower removal efficiency. The observed removal percentage ranges from 94.5% to 99.7%.  The geostatistical approach gave the highest removal fraction.

The only contaminant that quantitatively did not remove 95% was naphthalene and there was not sufficient naphthalene in the system to suggest that 95% had been removed.  Generally the naphthalene was below the quantification limit or there did not appear to be a significant change in the concentration.  This would suggest that where the remedial fluid came in contact with the contamination sufficient remedial fluid was used to remove the NAPL.

Table 4.2.1.1 Summary of core data based on boxcar averaged results
Chemical Pre-Remediation Concentration (mg/kg) Post-Remediation Concentration (mg/kg) Fraction Removed
dichlorobenzene 30 1.2 0.96
1,1,1-trichlorethane 0.34 0.000054 0.99+
toluene 1.7 0.15 0.91
o-xylene N.D.* N.D  
m-xylene   N.D.  
naphthalene 2.2 0.25 0.89
trimethylbenzene N.D N.D  
decane 72 2.3 0.97
undecane N.D N.D  
ethylbenzene N.D N.D  
* Not determined
 

4.2.2    Tracer Analysis

A summary of the tracer activities is shown in the following table:

Table 4.2.2.1 Summary of tracer activities
Tracer
Pre-Remediation
Post-Remediation
Concentration (mg/l)
Total Mass Injected (g)
Mass Recovered (g)*
Concentration (mg/l)
Total Mass Injected (g)
Mass Recovered (g)*
Bromide
273
173
180
 266
179 
 
2,2-dimethyl-3-pentanol
878
557
496
 722
470 
 519
n-hexanol
945
600
 
 698
 470
 
n-pentanol
989
632
       
Tracer Volume (l)
634
 673
Injection Time (min)
198
 205

* Based on the  zero moment of extrapolated data.

A suite of chemicals was injected, both pre-remediation and post-remediation, to characterize the mass and distribution of the contaminants. The experimental tracer breakthrough curves (BTCs) collected prior to remediation from the extraction wells are shown in Figures 4.2.2.1 to 4.2.2.12.  Since the partition coefficient for the 2,2-dimethyl-3-pentanol is the largest of the tracers used,  this tracer provides the greatest separation between the retarded and non-retarded tracer and should provide the most reliable data. All of the results are summarized in Table 4.2.2.2 for extraction well 1, Table 4.2.2.3 for extraction well 2, and Table 4.2.2.4 for extraction well 3. The pre-remediation NAPL saturation (volume fraction) based on 2,2-dimethyl-3-pentanol data, ranges from 0.052 to 0.087 for the volume sampled by well 1, 0.069 to 0.121 for well 2, and 0.085 to 0.131 for well 3. Moment analysis consistently gives the lowest saturation of the three methods presented. The one-dimensional-connective-dispersive model (CDM) consistently gave the lowest value. The mean residence time for bromide in extraction well 1 ranged from 1.4 days using the method of moments and the extrapolated data (note: the mean residence time = first moment/zero moment minus 0.5*the pulse duration) to 0.72 days for an unconstrained fit to the CDM.  The modeling results suggest that the residence time for bromide is approximately 1/2 the time suggested by the method of moments.  Post-remediation residence time for methanol was less than the pre-remediation residence time.  It is not reasonable to make conclusions about remediation based on changes in residence times of the non-retarded tracers since minor changes in the flow volume or flow rate could significantly  influence the interpretation.  The modeling estimates of the NAPL saturation are consistent with each other but the pre-remediation data gives a greater estimate of NAPL saturation than the moment method.  Qualitatively looking the fit of the model to the data (Figures 4.2.2.1 and 4.2.2.2) the one-dimensional-convective-dispersive model (CDM) appears to describe the data better than the stochastic model.  The stochastic model suggests an earlier rise in concentration than is predicted by the CDM.  Post-remediation estimates are quite similar, however, the stochastic model still gives a poor fit to the data.  The apparent problem is the assumed distribution function for the flow times.  A single log normal distribution does not appear to be correct.
 

Table 4.2.2.2. Summary of Extraction Well 1 tracer analysis
Extraction Well 1
Pre-remediation
Post-remediation
  conservative (bromide) 2,2-dimethyl 
-3-pentanol
NAPL Saturation conservative (methanol) 2,2-dimethyl 
-3-pentanol
NAPL Saturation
Pulse duration (days)
0.139
0.139
 
0.15
0.15
 
zero moment data
39.40
105.83
 
355.9
99.13
 
zero moment extrapolated
40.31
108.03
 
387
110.49
 
first moment / zero moment data (days)
1.332
1.66
0.035
1.064
1.199
 0.018
first moment extrapolated / zero moment (days)
1.48
1.79
0.030
1.445
1.669
0.022
Convective Dispersive Model    
0.045
   
0.013
dispersivity (m)
1.2
3.034
 
0.493
0.459
 
est. initial conc. (mg/l)
224
694
 
2088
541
 
mean time of travel (days)
0.71
0.953
 
0.665
0.727
 
Stochastic model    
0.064
   
0.016
variance in travel time
0.671
 0.979
 
0.442
0.460
 
travel time (days)
0.73
1.08
 
0.667
0.745
 
est. initial conc. (mg/l)
222
695
 
2057
561
 

Figure 4.2.2.1  Extraction Well 1 Pre-remediation Tracer analysis 2,2-dimethyl-3-pentanol
Figure 4.2.2.1.b  Extraction Well 1 Pre-remediation Tracer analysis 2,2-dimethyl-3-pentanol log
Figure 4.2.2.2  Extraction Well 1 Post-remediation tracer analysis 2,2-dimethyl-3-pentanol
Figure 4.2.2.2.b  Extraction Well 1 Post-remediation tracer analysis 2,2-dimethyl-3-pentanol log
Figure 4.2.2.3  Extraction Well 1 Post-remediation tracer analysis hexanol
Figure 4.2.2.3.b  Extraction Well 1 Post-remediation tracer analysis hexanol log
Figure 4.2.2.4   Extraction Well 1 Post-remediation methylheptanol
Figure 4.2.2.4.b  Extraction Well 1 Post-remediation methylheptanol log
 

Table 4.2.2.3. Summary of Extraction Well 2 tracer analysis
Extraction Well 2
Pre-remediation
Post-remediation
  conservative (bromide) 2,2-dimethyl 
-3-pentanol
NAPL Saturation conservative (methanol) 2,2-dimethyl 
-3-pentanol
NAPL Saturation
Pulse duration (days)
0.139
0.139
 
0.150
0.150
 
zero moment data
37.72
102.36
 
372.13
108.79
 
zero moment extrapolated
38.095
107.15
 
380.03
112.47
 
first moment / zero moment data (days)
0.886
1.226
0.056
0.962
1.143
 0.027
first moment extrapolated / zero moment (days)
0.922
1.387
0.074
1.054
1.285
0.032
Convective Dispersive Model    
0.090
   
0.027
dispersivity (m)
1.75
2.626
 
0.836
0.884
 
est. initial conc. (mg/l)
248
742
 
2377
698
 
mean time of travel (days)
0.554
0.923
 
0.666
0.799
 
Stochastic model    
0.101
   
0.027
variance in travel time
0.779
0.918
 
 0.582
0.593
 
travel time (days)
0.593
1..039
 
0.684
0.818
 
est. initial conc. (mg/l)
250
748
 
2399
700
 

Figure 4.2.2.5  Extraction Well 2 Pre-remediation tracer analysis 2,2-dimethyl-3-pentanol
Figrue 4.2.2.5.b  Extraction Well 2 Pre-remediation tracer analysis 2,2-dimethyl-3-pentanol log
Figure 4.2.2.6  Extraction Well 2 Post-remediation tracer analysis 2,2-dimethyl-3-pentanol
Figure 4.2.2.6.b  Extraction well 2 Post-remediation tracer analysis 2,2-dimethyl-3-pentanol log
Figure 4.2.2.7  Extraction Well 2 Post-remediation tracer analysis hexanol
Figure 4.2.2.7.b  Extraction Well 2 Post-remediation tracer analysis hexanol log
Figure 4.2.2.8  Extraction Well 2 Post-remediation methylheptanol
Figure 4.2.2.8.b  Extraction Well 2 Post-remediation methylheptanol log

Table 4.2.2.4. Summary of Extraction Well 3 tracer analysis
Extraction Well 3
Pre-remediation
Post-remediation
  conservative (bromide) 2,2-dimethyl 
-3-pentanol
NAPL Saturation conservative (methanol) 2,2-dimethyl 
-3-pentanol
NAPL Saturation
Pulse duration (days)
0.139
0.139
 
0.15
0.15
 
zero moment data
36.62
103.84
 
369.7
106.18
 
zero moment extrapolated
37.27
106.53
 
374.3
107.86
 
first moment / zero moment data (days)
0.968
1.521
 0.083
0.886
1.076
 0.032
first moment extrapolated / zero moment (days)
1.048
1.664
0.085
0.942
1.142
0.031
Convective Dispersive Model    
0.092
   
0.034
dispersivity (m)
0.729
1.874
 
0.528
0.670
 
est. initial conc. (mg/l)
214
674
 
2312
666
 
mean time of travel (days)
0.572
0.961
 
0.588
0.737
 
Stochastic model    
0.103
   
0.035
variance in travel time
0.544
0.814
 
0.464
0.522
 
travel time (days)
0.581
1.028
 
0.593
0.747
 
est. initial conc. (mg/l)
215
675
 
2302
665
 

Figure 4.2.2.9  Extraction Well 3 Pre-remediation tracer analysis 2,2-dimethyl-3-pentanol
Figure 4.2.2.9.b  Extraction Well 3 Pre-remediation tracer analysis 2,2-dimethyl-3-pentanol log
Figure 4.2.2.10  Extraction Well 3 Post-remediation tracer analysis 2,2-dimethyl-3-pentanol
Figure 4.2.2.10.b  Extraction Well 3 Post-remediation tracer analysis 2,2-dimethyl-3-pentanol log
Figure 4.2.2.11  Extraction Well 3 Post-remediation tracer analysis hexanol
Figure 4.2.2.11.b  Extraction Well 3 Post-remediation tracer analysis hexanol log
Figure 4.2.2.12 Extraction Well 3 Post-remediation methylheptanol
Figure 4.2.2.12.b  Extracton Well 3 Post-remediation methylheptanol log

4.2.3    Extraction Analysis

Two alternatives could be utilized to interpret the data in the estimation of overall performance.  If there were a complete analysis of the NAPL, one could estimate the initial mass of a particular contaminant based on tracer data estimates of the NAPL saturation and the mole fraction of the individual contaminant in the NAPL.  Samples of NAPL were collected from several locations around the site and analysis performed.  When a NAPL is sampled in this manner the fraction collected is what is readily mobile.  It is necessary to assume that this NAPL is in equilibrium (i.e., having the same composition as the rest of the NAPL in the immediate area).  If there is a "pitch" portion to the NAPL, this fraction may not be in equilibrium with the energetically free NAPL, creating a potential bias to the results.  Using core data creates a different set of  biases.  The core samples that were analyzed represent only a subsample of the total core removed from the formation.  Much of the formation is occupied by cobbles that were too large to be included in the analysis.  Since a significant portion of the formation was occupied by cobbles, the estimated mass is likely less than the presented value.  This is not a significant problem when comparing core data to core data but may be a significant problem when using core data as an estimate for the starting mass in the individual test cell.  In addition to this problem, the geometry of the test cell creates dead zones or at least zones that are difficult to access.  Thus, the remedial fluid may not have been in contact with all of the contamination.  In the analysis presented here, core data were used as a starting point.

Data collected during the remedial activity included flux through each of the wells and the concentration of the contaminants and precursors  (ethanol and pentanol) in the effluent stream.  This information was used to quantify the mass of contaminant removed from the system.  Six figures are available to display the results (Figures 4.2.3.1 through  Figure 4.2.3.6).  The upper portion of the figure is the concentration versus time for each of the wells for a given chemical.  The lower portion of the figure is the fluid flux passing through the extraction well.  By multiplying the flux by the concentration one can calculate the mass of chemical extracted for each of the wells.  This is printed at the bottom of each of the figures. Figure 4.2.3.1 (Extraction well data for dichlorobenzene) suggests that 1330g of dichlorobenzene were removed during the enhanced extraction process. This can be compared to the mass originally contained in the test cell which ranges, depending on the estimation technique from 1200g to 3300g. The removal fraction using the initial mass based on core data would be 60% to 110%. The inverse distance squared estimate of mass appears to be giving a much greater mass estimate than the other four methods. If this were not included in the estimate, the worst performance would be changed to range from 89% to 110%.

Decane removal is shown in Figure 4.2.3.2 (Extraction well data for n-decane ). The data suggest that 1860 grams of decane were removed. The  core data suggest that originally there was 2800 to 3700 g of decane in the test cell.  This ignores the mass estimated using inverse distance squared, which gives a much higher estimate and does not appear to be consistent with the other estimation methods..  Based on core data for an initial estimate of contaminant mass and elution data for the mass removed, the percentage removal appears to be  50% to 66%.  The volume used to calculate the initial mass of contamination in the cell includes the volume in the irregularities along the cell sides.  This volume was not likely well swept by either the remedial fluid or the tracers.  All of the core samples were collected within the swept volume.  The data could be made to appear better if one only selected a portion of the total volume that was believed to be swept by the remedial fluid.  However, it would be difficult to verify what volume should actually be used since there were no samples taken to evaluate movement at the edge of the test cell.

The remaining figures are presented since the data were collected.  There is no core data collected for the initial soil mass of undecane or trimethylbenzene. The only method for approximating the initial soil mass would have to be based on an estimate based on a ratio of undecane or trimethylbenzene to decane that was quantified using samples of NAPL collected prior to the remediation.  This information is available in Rao et al, 1997. Figure 4.2.3.4 Extraction well data for n-undecane Figure 4.2.3.6 Extraction well data for trimethylbenzenene shows the elution of these two chemicals.

Figure 4.2.3.5 Extraction well data for pentanol and Figure 4.2.3.3 Extraction well data for ethanol allows one to estimate the mass of the remedial fluids collected.

Table 4.2.3.1 Table Summary of the extraction of contaminant from the profile
Chemical Initial mass* (g) Mass extracted (g) Fraction removed
dichlorobenzene 1300 1334 1.03
n-decane 2800 1861 0.66
n-undecane N.D. 3611  - 
trimethylbenzene N.D. 385  - 
pentanol (injected)   3889000  
ethanol (injected)   31991000  

*Initial mass estimate based on geotatistical analysis