The Solubility of Metals and Their Coincident Release ... · The Solubility of Metals and Their...
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The Solubility of Metals and Their Coincident Release
Alamosa River Basin Soils, Colorado
C.G. Rossi, D.M Heil, J.G. Arnold, & R. SrinivasanUSDA ARS, Temple, TX
Colorado School of Mines, Golden, COTexas A&M University
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Introduction
• Several land uses depend on Alamosa River water• Summitville Mine drainage and volcanic geology
contribute to metal and acid contamination• Terrace Reservoir is a sink/source for metals• Alamosa River is contaminated• Irrigation methods may contribute to increased
metal concentrations (4 days)• Mn is above water regulation standards
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Summitville Gold Mine
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Acidic metal-rich puddles, Summitville open pit
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Natural Acidic Iron Spring
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Objectives
• Impact of reduction/pH on the solubility of metals
• Time effect of waterlogged conditions on metal concentrations
• Coincident release of metals • Plan for watershed-scale modeling
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Alamosa River above Terrace Reservoir
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Terrace Reservoir Inlet
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Terrace Reservoir
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Alamosa River below Terrace Reservoir
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Soil Physical CharacteristicsSoilName
pH ECe
(ds m-1)CEC (meq/100g)
Mogote-V 7.9 31.43 26.1
Mogote-A 6.3 2.12 21.4
La Jara-V 6.6 5.26 22.0
La Jara-A 5.1 2.71 16.1
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Redox column
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Nernst (Redox) Equation
Eh (mV) = Eo – (59/n) log [(Red)/(Ox)] + 59 (m/n) pH
Eh=Measure of intensity of reduction or oxidationEo = Standard electrode potential (V or mv)n=# of moles of e- participating in reaction
m=concentration (moles/liter)
Redox and pH impact metal availability
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Initial Eh (mV) Reduced Species AppearOxidized Species
Reduced Species
Initial Eh (mV)
NO3- N2O, N2 (g) +300
MnO2, Mn4+ Mn2+ +200
Fe(OH)3, Fe3+
Fe2+ +100
SO42- S2- -120
CO2 CH4 Below -200
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Results
• pH, EC, and CEC are lowest for soils irrigated with Alamosa River water
• pH strongly impacts metal solubility-Mn2+
remains solubilized at low pH• OM% significantly impacts metal
concentrations• Treated columns: -350 mV to +600 mV• Untreated columns: +50 mV to +600 mV
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Results continued
• 12-36 hours is statistically significant for metal release with waterlogged conditions
• All systems reached a low enough Eh to support Mn reduction
• Mn increased up to 213 times in magnitude under reduced conditions
• No direct correlation of coincident release of Cu, Ni, and Zn but Ni and Zn follow Mn2+ pattern
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1. MnO2 + 4H+ + 2e- = Mn2+ + H2O
2. Log (Mn2+) = 41.4 – 2pE – 4pH
3. Mn2+ + H2CO3 = MnCO3 + 2H+
4. Log (Mn2+) = 8.8 – log (CO2) – 2pH
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pH = 6.0At lower pH, solubility is greater
-7
-6
-5
-4
-3
-2
-1
0
1
0 200 400 600 800
Eh (mV)
log
(Mn2
+ )
MnO2
MnCO3/-3.52
MnCO3/-2.52
MnCO3/-1.52
MnCO3/-.52
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pH = 7.0
-6
-5
-4
-3
-2
-1
0
0 200 400 600 800
Eh (mV)
log
(Mn2
+ )
MnO2
MnCO3/-3.52
MnCO3/-2.52
MnCO3/-1.52
MnCO3/-.52
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Trends in pH
Soil Name Treatment(Dextrose)
Triplicate Response
pH (Hour) Response
Mogote-V Untreated 3/3 12-60Mogote-V Treated 3/3 12-48Mogote-A Untreated 1/3 12-24Mogote-A Treated 3/3 12-36La Jara-V Untreated 3/3 12-36La Jara-V Treated 3/3 12-36La Jara-A Untreated 1/3 12-24La Jara-A Treated 3/3 12-24
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Average + or – Redox Column Metal Concentration in Soil Solution
Soil Name
Treat-ment
Cu ppm
Fe ppm
Mn ppm
Ni ppm
Zn ppm
M-N Yes +4.0 +5.9 +74.6 +9.2 +3.0M-N No +3.7 +39.5 +131 +2.8 +1.5M-A Yes +1.4 +10.0 +213 +4.5 +23.9M-A No +2.2 +45.2 +2.2 +45.2 +183L-N Yes +1.1 +10.8 +44.3 +1.6 +3.5L-N No +1.6 +13.9 +47.2 +2.3 +1.0L-A Yes +1.3 -9.7 +6.3 +1.9 +6.2L-A No +1.4 -13.7 +30.5 +3.0 +6.1
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Mogote-Alamosa Flood Untreated
0 12 24 36 48 60 72 84 96 108 120 132
Hours
0.00
0.98
1.96
2.94
3.92
4.90
Mn
ppm
Replicate 1
Replicate 2
Replicate 3
y||=||-0.139+0.0156*x
0.97 R2 Value
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Mogote-Alamosa Flood Treated with Dextrose
0 12 24 36 48 60
Hours
0.03
2.10
4.18
6.25
8.33
10.40
Mn
ppm
Replicate 1
Replicate 2
Replicate 3
y||=||-1.90+0.167*x
0.80 R2 value
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0 12 24 36 48 60 72 84 96 108 120 132
Hours
100
200
300
400
500
600
Eh(
mV
)
0 12 24 36 48 60 72 84 96 108 120 132
Hours
5.50
6.00
6.50
7.00
7.50
8.00
pH
0 12 24 36 48 60 72 84 96 108 120 132
Hours
0.00
0.60
1.70
2.80
3.90
5.00
Mn
ppm
100 200 300 400 500 600
Eh (mV)
0.00
0.60
1.20
1.80
2.407.007.067.12
Mn
ppm
Mogote-Alamosa Flood Untreated
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Mogote-Alamosa Flood Untreated
0 12 24 36 48 60 72 84 96 108 120 132
Hours
100
200
300
400
500
600
Eh(
mV
)
0 12 24 36 48 60 72 84 96 108 120 132
Hours
5.50
6.00
6.50
7.00
7.50
8.00
pH
0 12 24 36 48 60 72 84 96 108120132
Hours
0.00
0.002
0.004
0.006
0.008
0.010
Ni p
pm
100 200 300 400 500 600
Eh (mV)
0.000
0.002
0.004
0.006
0.008
0.010
Ni p
pm
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Mogote-Alamosa Flood Untreated
0 12 24 36 48 60 72 84 96 108 120 132
Hours
100
200
300
400
500
600
Eh(
mV
)
0 12 24 36 48 60 72 84 96 108 120 132
Hours
5.50
6.00
6.50
7.00
7.50
8.00
pH
0 12 24 36 48 60 72 84 96 108 120 132
Hours
0.00
0.10
0.20
0.30
0.40
0.50
0.60
Zn p
pm
100 200 300 400 500 600
Eh (mV)
0.00
0.10
0.20
0.30
0.40
0.50
0.60
Zn p
pm
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0 12 24 36 48 60
Hours
-360
-203
-47
110
267
423
580
Eh
(mV
)
0 12 24 36 48 60
Hours
5.50
5.70
5.90
6.10
6.30
6.50
pH
0 12 24 36 48 60
Hours
0.00
2.10
4.20
6.30
8.40
10.50
Mn
ppm
-350 -164 22 208 394 580
Eh (mV)
0.00
3.00
6.00
9.00
12.00
Mn
ppm
Mogote-Alamosa Flood Treated with Dextrose
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Discussion•Coprecipitation and adsorption mechanisms uncertain-Mn2+ is ionic (availability shifts as pH changes)•Sequential Extraction vs. EPA 3050 (800 ppm)•Eh decreases rapidly because e- acceptors are overwhelmed by microbial activity•Time may be the limiting factor affecting Mn2+
concentrations
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Summary• Mn increases the most compared to Cu, Fe, Ni,
and Zn• Mn release is highest for Alamosa River irrigated
soils• Mn consistently exceeds Colorado Water
Standards• Waterlogged time and organic matter significantly
affect reduced metal concentrations• pH and Eh impact metal behavior
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Conclusions
• Redox processes may be controlled through irrigation management minimizing dissolution of soluble metals
• Limit further degradation of water quality• Laboratory redox simulations are
inconsistent and must be used with caution when results are used for a field environment
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Metal transport in SWAT• Ann: Need to link watershed to in-stream
processes• Jeff: break watershed down to landscape
units/include slope/pedology?• Virginia: Economics of sampling• Karim: Uncertainty/Continent Scale• Armen/Stefan: C addition (based on simplified
pool)• Balaji: sediment particles size: 5 classes• Dr. Thibodeaux: how much stress can system take• EPIC & SWAT
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Pools
Soil Solution
Exchangeable Ions + Surface
Adsorption
Organic Matter + Microorganisms
Nutrient Uptake
by Plants
Manures, Biosolids
(soil amendments)Minerals + Solid
Phases
Plant residues
Air pathways
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Problems/Future • Timestep: sub-hourly • Issues of data collection techniques• Defined transport phases • Define trends re: soil heterogeneity• Sequence of processes• Mineral surfaces are irregular re: chemical rxns & soln• Need extensive database for mechanisms into transport
model • pH needs to be dynamic
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Factors Controlling Rates• Hydrologic Inputs (Tile Drains,
Precipitation Snow, Percolation, Evaporation)
• Soil Erosion (topsoil, slope)• Water Removal (groundwater, deep aquifer,
seepage, surface runoff)• Saturated/Waterlogged conditions (Redox)• Environmental system equilibrium• Dynamic reactions/metabolic energy
rxns/diffusion gradient
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SWAT Database & Model Parameter Inputs for Consideration
• pH (dependency), adsorption/desorption parameters (hysteresis), Kd
• Soil texture/dominant mineralogy (2:1 clays) has to be included/Transformations
• CEC (# of exchange sites limited), Vp (CO2)• Ionic Strength & correction; activities calc from thermodyn • soil-metal specific eqns & Solubility eqns.—process-based• Solubility Constants/pKa, pKb/fast and slow rxns• Chemical rxn rates; Temperature (lab exp are at 25C)• Chemical residence time: change to dependence on flow
velocity (Ann) vs. concentration at outlet of watershed• water transport is essential (no water = no movement)
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• Where is data available? at/above/below point sources (Forest inlet/outlet; WWTPs; septic systems, urban areas, Reservoirs, CAFOs
• Need to input Fe, Al, Ca for pH range of interest• Processes included: coprecipitation?
Transformations? Sorption to sed? Resuspended sed?
• How much information should be required for input?
• What data is reasonable to expect user to have?• Uncertainty? Repeatability? • Mass balance approach? At WAS scale? Most
results are from lab experiments…
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Phases to Consider/Lump @ Was- scaleLi
ndsa
y, 1
979
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i.e. of Database needs• Need to establish soil-water chemical database• 1. filtered concentration filtered through 0.001-um
pore-size membrane (dissolved species)• 2. colloidal concentration filtered through 0.45-um
pore size membrane (subtract (1))• 3. suspended particulate by unfiltered sample then
subtract #1&2• Need samples from several soil types• compare rates of transport vs. chemical reaction rate• Treatment of metals by wetlands, hyperaccumulators,
etc. • Methods of analysis (EPA 3050 vs. Sequential
Extraction)
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• If want more detail then need a dataset with log K data, corrections if ionic strength changes (Na); Mass action eqns are written in terms of activities to be able to apply to all ionic strengths; ionic strength corrections can use b*1 for ionic strength term or the Davies Debye-Huckel expression (which depends only on the charge of the species) used to calculate activities
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Model databases
• Models: PHREEQC: reaction/transport model—ion association modelling approach
• TRANSPEC (metal fate-TRANsport and SPECiation/complexation model; for surface aquatic systems for cationic metlas
• PHROPITZ: reaction/no transport • MINTEQA2/PRODEFA2: Geochemical
Assessment Model for Environmental Systems; equilibrium speciation model used to calculate equil [] of dilute aq soln in lab or natural systems
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State of the Union:• HAS: SWAT: sub-hourly runoff, plant
uptake and decomposition framework, partitioning coefficient, dynamic OM pool, air pressure, database soil amendments,
• NEEDS: scale, pH range, landscape unit incl. mineralogy (major limitation), soil chemical and physical database (estimation of parameters not in DB); input soil-M eqns @ particular pH and I
• GOAL: metal availability/transformations
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Goal: to provide a method for assessing thefate of heavy metals in soil.
Soillayer
Macroporeflow
Soil-WaterMatrixflow
Homogeneouslylow permeability
pH > 6
pH ≤ 6
High per-meability at some
spots
Large ca-pacity for
adsorption
Small ca-pacity for
adsorption Infiltration rate:≥ 400 mm/y
< 400 mm/y
Distance to water: ≥ 2 m < 2 m
Small ca-pacity for
adsorptionLarge ca-pacity for
adsorption
≥ 2 m < 2 m
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pH 5.5 6 6.5 7 7.5Cd 3.5 4 4.5 5 5.5Cu,Cr 5 5.5 6 6.5 7Pb,Hg 7 8 9 10 11
Retardation Factor
Rf depends on pH, type of metal, content of organic material, MW,
solubility, vapor pressure…
Results
Retardation factor : soil matrix & transport rate
The retardation of heavy metal cations in the soil matrix estimation
013579
3 4 5 6 7 8 9 1011 12.0Retardation Factor
Tran
spor
t rat
e (m
m/y
ear)
FIELD STUDIES
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Colleen H. GreenDepartment of Soil and Crop Sciences
Colorado State University
Discussion/Questions?
Thank You
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Hysteresis
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Materials and Methods
• Soils are from top 12 inches of profile • Two virgin sites-nonirrigated, uncultivated• Two contaminated sites-Alamosa River
water• Redox columns, Pt electrodes, 1% dextrose• Sequential extraction • XRD
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Redox columns using Pt
electrodes
Why different?
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• 1. log K (stability constant) (correct for I; s/b moderate for natural water 1.45 mol/kg(nonsaline)
• 2. dissolved inorganic carbon (CO2, HCO3-, and CO32-)aka Total CO2
• 3. High Ionic Strength and redox reactions i.e. CO2 degassing leads to calcite pcp
• 4. Alkalinity: need to add Ca species and complexes to SWAT
• 5. correct for Eh reference electrode (Ag/AgCl pair)
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• EPA HAWQS: As, Cd, Cu, Fe, Hg, Zn
• Langmuir• C/q = 1/(Kb) + C/b
• Q = moles of species adsorbed per kg soil• K = constant• C = soluble concentration mol L-1• B = adsorption capacity mol kg-1
• If data reaches a plateau at high concentrations then can use Langmuir model (also use Langmuir for pesticides when amount = less than amount of adsorption capacity)
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• Mass action exp for Kd (ml/g)Kd = mass of adsorbate sorbed (Ai) /mass of adsorbate in soln (Ci)
based on A + Ci = Ai
Where A = free or unoccupied surface ads sitesCi = total dissolved adsorbate remaining in soln at equilAi = amount of adsorbate on the solid at equilibrium
Chemical retardation, Rf: Rf = Vp/VcWhere Vp = velocity of water through a control volume
Vc = velocity of contaminant through a control volumeThe Rf term does not equal unity when solute interacts with soil therefore,
Rf > 1 due to solute sorption to soils; if Rf<1 = caused by anion exclusion
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La Jara-Virgin Untreated
0 12 24 36 48 60 72 84 96
Hours
0.01
0.10
0.20
0.30
0.40
0.50
Mn
ppm
Replicate 1
Replicate 2
Replicate 3
y||=||-0.0898+0.00522*x0.83 R2 value
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La Jara-Virgin Treated with Dextrose
0 12 24 36 48
Hours
0.010.110.220.320.430.531.301.662.022.382.743.10
Mn
ppm
y||=||-0.05642+0.00745*x
0.67 R2 valueReplicate 1
Replicate 2
Replicate 3
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La Jara-Alamosa Flood Untreated
0 12 24 36 48 60 72 84 96
Hours
0.01
0.72
1.44
2.16
2.88
3.60
Mn
ppm
Replicate 1
Replicate 2
Replicate 3
y||=||-0.233+0.0394*x
0.98 R2 value
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La Jara-Alamosa Flood Treated with Dextrose
0 12 24 36 48
Hours
0.13
0.42
0.72
1.01
1.31
1.60
Mn
ppm
Replicate 1
Replicate 2
Replicate 3
y||=||0.0676+0.0180*x
0.91 R2
value
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0 12 24 36 48 60 72 84 96 108
Hours
300
360
420
480
540
600
660
Eh
(mV
)
0 12 24 36 48 60 72 84 96 108
Hours
7.00
7.30
7.60
7.90
8.20
8.50
pH
0 12 24 36 48 60 72 84 96 108
Hours
-0.1
0.00
0.30
0.70
1.10
1.50
Mn
ppm
330 386 442 498 554 610
Eh (mV)
0.00
0.30
0.60
0.90
1.20
1.50M
n pp
m
Mogote-Virgin Untreated
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0 12 24 36 48 60
Hours
-380
-184
12
208
404
600
Eh
(mV
)
0 12 24 36 48
Hours
7.00
7.20
7.40
7.60
7.80
8.00
pH
0 12 24 36 48 60
Hours
0.00
1.60
3.70
5.80
7.90
10.00
Mn
ppm
-370 -176 18 212 406 600
Eh (mV)
0.000.751.502.253.007.00
7.35
7.70
Mn
ppm
Mogote-Virgin Treated with Dextrose
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a. b. c.
d. e. f.
a-c. SEM-EDS image of the cross-section of a soil particle saturated with 10 mg P L-1 . D-e. SEM-EDS image of the cross-section of a water treatment residual particle with 1000 mg P L-1. Both individual (a-b and d-e) and joint (c and f) element maps are presented. A map that shows a color that cannot be distinguished into its elemental colors indicates an association between those elements. The lower P concentration is mostly found at the perimeter of the particle while the high P concentration is found at the interior as well as the perimeter of the particle.
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