sub-project a2: simultaneous removal of inorganic ... · - “mechanisms of fluoride removal:...
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Sub-Project A2: Simultaneous Removal of Inorganic Contaminants, DBP
Precursors, and Particles in Alum and Ferric Coagulation
The University of Texas at Austin Desmond Lawler, Lynn Katz
Isabella Gee, Seulki Yeo and Jon Herrboldt March 21, 2016
Introduction • Brief Description: Use enhanced alum or ferric coagulation for simultaneous inorganic
and natural organic matter removal, and develop a mechanistic understanding of the interrelationships between NOM, inorganic contaminants, and metal precipitation. Inorganic contaminants of interest include:
– Fluoride – Arsenic – Chromium – Manganese
• Anticipated target utility characteristics: - Small water systems using surface waters with elevated inorganic contaminant concentrations that may already be applying alum or ferric coagulation as part of their treatment process • Continuum of technology development:
Outputs and Outreach Completed: - “Mechanisms of fluoride removal: adsorption and co-precipitation with
aluminum hydroxide in the presence and absence of NOM” ACS National Meeting, Denver, March 2015
- “Impact of ligands on co-precipitation and adsorption with aluminum” ACS National Meeting, Boston, March 2016
Scheduled: none Anticipated: White paper for WINSSS website, late Spring 2016. Manuscript for submission to a technical Journal, Fall 2016. WINSSS or US EPA Small Systems Webinar – late 2016 or 2017
Outline
• Alum Coagulation for Fluoride Removal (Isabella Gee) – Bench- Scale Testing
• Synthetic Water • Natural Water
– Pilot Study Testing • MacKenzie Lake, TX • Manitou Springs, CO
• Fe Coagulation for Fluoride Removal (Ki Yeo) – Bench- Scale Testing
• Synthetic Water • Al and Fe Coagulation for Trace Metal Removal (Lynn Katz)
Synthetic Water Tests
Synthetic Water Test Conditions
Three NOM surrogates Pthallic Acid Pyromellitic Acid Salycylic Acid
pH varied Between 4 and 9
Coagulant dose varied Between 20 – 500mg/L
Reagent Quantity Unit Purpose
CaCl2 336 mg Hardness
NaHCO3 504 mg Alkalinity
NaCl Variable mg Ionic Strength
HCl (1N) 6 mL Acidification
H2O 1.994 L Background
Removal of Fluoride & Organic Acids
0
20
40
60
80
100
20 100 200
Fluoride OnlyPhthalic Acid and FluoridePyromellitic Acid and Fluoride
Fluo
ride
Rem
oval
(%)
Alum Dose (mg/L)
0
20
40
60
80
100
20 100 200
Phthalic AcidPyromellitic AcidPhthalic Acid and FluoridePyromellitic Acid and Fluoride
Org
anic
s R
emov
al (%
)
Alum Dose (mg/L)
Aluminum Residuals
SMCL
Natural Water Tests
Natural Water Tests
• Two Waters – MacKenzie Lake, TX – Manitou Springs, CO
• pH controlled
– pH 6.5 – Using Na2CO3, NaOH, and
HCl
• Alum dose varied between each jar – Between 20 – 500mg/L
Natural Water Characteristics
Parameter Natural Waters
TX Water Site
CO Water Site
Water Source SW SW pH 8.60 7.58 [F] (mg/L) 3.04 3.15 DOC (mg/L Carbon) 9.20 1.18 SUVA (L/mg-m) 0.87 1.76 Alkalinity (mg/L CaCO3) 294.6 16.8
Natural Waters from TX and CO - Fluoride and Organic Removal
4/5/2016 12
0
20
40
60
80
100
0 100 200 300 400 500
MMWA, TX pH 6.0MMWA, TX pH 6.5MS, CO pH 6.0MS, CO pH 6.5
Fluo
ride
Rem
oval
(%)
Alum Dose (mg/L)
TX: [F]i = 3.04 mg/L
CO: [F]i = 2.81 mg/L
0
20
40
60
80
100
0 100 200 300 400 500
MMWA, TX pH 6.0MMWA, TX pH 6.5MS, CO pH 6.0MS, CO pH 6.5
Org
anic
UV
-254
nm
Rem
oval
(%)
Alum Dose (mg/L)
TX: [Absorbance]i = 0.080 cm-1
CO: [Absorbance]i = 0.012 cm-1
Aluminum Residuals
SMCL
Pilot Studies
Pilot Studies
MacKenzie Lake, TX – pH varied with alum dose (High Alk water) – Alum dose varied between 100—300 mg/L
Manitou Springs, CO
– pH control required for low Alk water (6.5,7.5) – Alum dose varied between 20 – 300 mg/L
MacKenzie Lake, TX
TX Pilot Studies: Approach to Steady State
0
1
2
3
4
0 60 120 180 240 300
Fluo
ride
Con
c. (m
g/L)
Time (min)
Influent = 3.48 mg/L
Floc.
Sed.
Alum dose = 200 mg/L
TX – Fluoride Removal
0
1
2
3
4
0 120 240 360 480 600 720 840
Fluo
ride
Con
c. (m
g/L)
Time (min)
Influent = 3.48 mg/L
200 300 20Alum (mg/L)
MMWA, TX Steady State Values in Flocculation Effluent
Alum Dose (mg/L) pH F
(mg/L) %
Removal DOC
(mg/L) %
Removal 20 8.32 3.24 6 8.9 1
50 7.98 3.14 10 8.9 1
100 7.72 2.88 21 8.4 7
150 7.35 2.42 30 8.0 11
200 7.20 1.98 43 7.4 18
300 6.89 1.57 56 6.8 24
Manitou Springs, CO
Colorado Pilot Results
Alum Dose
(mg/L)
F Removal
(%)
Si Removal
(%)
Al Residual (mg/L)
UV-254 Removal
(%)
20 14.3 4.8 0.475 53
50 33.9 11.5 0.229 62
100 52.8 16.7 0.074 65
150 63.6 21.2 0.056 64
200 71.2 27.4 0.038 65 300 79.8 34.0 0.031 66
Effect of pH on Removals
pH F
Removal (%)
UV-254 Removal
(%)
6.5 71 65
7.5 51 54
Fluoride Removals Alum Dose
(mg/L)
Synthetic Water
CO Jar Test
CO Pilot
TX Jar Test
TX Pilot
20 17 12 14 6 6
50 30 34 34 18 10
100 46 48 53 35 21
150 71 74 64 56 30
200 80 81 71 70 43
300 86 87 80 83 56
Conclusions for Al Coagulation • Alum coagulation can be an effective treatment
process for lowering fluoride concentrations to acceptable levels. The optimum pH is 6.5.
• The impact of NOM on F removal is minimal. • Pilot tests of the Colorado Water were consistent with
Jar Tests and Synthetic water tests • Pilot tests for the TX water showed lower removals of F
than Jar tests due to differences in pH • F removal in jar tests with TX water were also lower
than the synthetic water tests due to differences in background water chemistry (e.g. low SUVA, high TOC, high alkalinity)
FeCl3 Coagulation
Objectives
• Quantify Fluoride Removal in iron coagulation systems
• Determine the effect of NOM surrogates on fluoride removal
• Determine the effect of NOM on fluoride removal
• Determine the effect of fluoride on removal of NOM
Bench-Scale Testing
• Synthetic Water • pH varied
– pH 4.0 – 6.5 (ΔpH=0.5) – Using NaOH, and HCl
• FeCl3 dose controlled
= 100mg/L and 200mg/L
• Organic acids - Pyromellitic acid - Phthalic acid - NOM
Comparison of Co-precipitation vs Pre-formed Fe(OH)3(s)
0
10
20
30
40
50
60
3 4 5 6 7
Fluo
ride
Rem
oval
(%)
pH
CPT (FeCl3=100mg/L)
CPT (FeCl3=200mg/L)
PRE (FeCl3=200mg/L)
FeFx Complexation
FeF2+ is a Key Player of Fe Coagulation
F-
FeF2+
FeF2+
Fluoride Removal
0
10
20
30
40
50
60
3 4 5 6 7
Fluo
ride
Rem
oval
(%)
pH
FluoridePhthalic+FluoridePyromellitic+FluorideNOM+Fluoride
Fluoride Removal at pH 4.0 Fluoride Pyromellitic+Fluoride
Phthalic+Fluoride NOM+Fluoride
Organic Removal – Phthalic acid
0
20
40
60
80
100
3 4 5 6 7
Org
anic
Aci
d Re
mov
al (%
)
pH
UV-Vis
PhthalicPhthalic+Fluoride
0
20
40
60
80
100
3 4 5 6 7
Org
anic
Aci
d Re
mov
al (%
)
pH
TOC
PhthalicPhthalic+Fluoride
Organic Removal – Pyromellitic acid
0
20
40
60
80
100
3 4 5 6 7
Org
anic
Aci
d Re
mov
al (%
)
pH
TOC
PyromelliticPyromellitic+Fluoride
0
20
40
60
80
100
3 4 5 6 7
Org
anic
Aci
d Re
mov
al (%
)
pH
UV-Vis
PyromelliticPyromellitic+Fluoride
Removal of NOM in Fe Coagulation
0
20
40
60
80
100
3 4 5 6 7
Org
anic
Aci
d Re
mov
al (%
)
pH
TOC
NOMNOM+Fluoride
0
20
40
60
80
100
3 4 5 6 7
Org
anic
Aci
d Re
mov
al (%
)
pH
UV-Vis
NOM
NOM+Fluoride
Conclusions • Fe coagulation
– Fluoride removals up to about 30% were observed. • Max removal at pH 4.5 • No reduction in removal in the presence of organic acids
– Effect of fluoride on organic acid removal is dependent on the organic acid and the pH/
• Compared to Alum coagulation
– More organic removal over the pH range – Max. fluoride removal at lower pH FeCl3=pH 4.5 , Alum=pH 6.5
• Recent report found elevated levels of arsenic throughout Texas drinking water systems
• Chromium-6 Found in Tap Water of 31 U.S. Cities (Dec. 2010)
• Enhanced Coagulation could be applied for Arsenic and Chromium removal
Texas Statesman: Arsenic persists in some Texas water supplies
Removal of Trace Metals in Enhanced Coagulation
Methodology
• Evaluate Removals in Freshly Precipitated and Pre-precipitated Systems in Increasingly Complex Systems – Single-Solute – Bi-Solute – Tri-Solute – Natural Systems
• Assess the Potential of DLM Surface Complexation Model for Predicting Removal
Predictions of Adsorption onto Hydrous Ferric Oxide AsT = 3.3e-6M, CrT = 2e-6M, CO3T = 0.01M
020406080
100
2 4 6 8 10
% A
dsor
bed
pH
Multicomponent Adsorption on Hydrous Ferric Oxide: Diffuse Layer
Model
As Cr CO3 As(SS)
0
0.000002
0.000004
0.000006
2 4 6 8 10M
oles
/L A
dsor
bed
pH
Multicomponent Adsorption on Hydrous Ferric Oxide: Diffuse Layer
Model
As Cr CO3 As(SS)
Single Solute arsenate pH sorption edge surface coverages (µmol/g) corresponding to 100 percent removal from solution
Adsorption Experiments on GFH
Solid (g/L) I.S. (M) Sorbate Max. Γ (μmol/g)
Buffer (M)
As 133 GFH 0.01 0.01 SiO2 111 NaHCO3 0.01
Ca2+ 2495 As 133
GFH 0.01 0.01 SiO2 1113 NaHCO3 0.01 Ca2+ 2495 As 133
E33 0.01 0.01 SiO2 111 NaHCO3 0.01 Ca2+ 2495 As 133
E33 0.01 0.01 SiO2 1113 NaHCO3 0.01 Ca2+ 2495
Estimation of Site Density E33* GFH*
Surface area from surface charge density comparisons (m2/g) 350 600
SSD, tritium exchange (sites/nm2) 2.51 1.43 SSD, anion maximum sorption (sites/nm2) 0.55 1.18
SSD, cation maximum sorption (sites/nm2) 1.90 1.70
log [H+]
-10.5 -10.0 -9.5 -9.0 -8.5 -8.0 -7.5 -7.0
0.01 M Ionic Strength0.1 M Ionic Strength0.5 M Ionic Strength0.01 M DLM titration fit0.1 M DLM titration fit0.5 M DLM titration fit
E33T = 10 g/L
NsT = 3.2 x 10-3 M
log [H+]
-11 -10 -9 -8 -7 -6 -5
TOT
H
-0.0020
-0.0015
-0.0010
-0.0005
0.0000
0.0005
0.0010
0.00150.01 M Ionic Strength0.1 M Ionic Strength0.5 M Ionic Strength0.01 MDLM titration fit0.1 MDLM titration fit0.5 MDLM titration fit
GFHT = 2 g/L
NsT = 2.35 x 10-3 M
DLM Fits to Titration Data Surface protolysis:
log K+ = 6.90; log K- = -8.96
pH6 7 8 9 10 11 12
Per
cent
Ca2
+ S
orbe
d0%
20%
40%
60%
80%
100%Ca2+T=1.96 ppm
Ca2+T=11.62 ppm
pH6 7 8 9 10 11 12
Per
cent
As
Sor
bed
0%
20%
40%
60%
80%
100%AsT=106 ppbAsT=518 ppbAsT=1981 ppb
GFHT = 0.01 g/L
I S = 0 02M
pH6 7 8 9 10 11 12
Perc
ent C
a2+
Sorb
ed
0%
20%
40%
60%
80%
100%Ca2+T=1.84 ppm
Ca2+T=11.6 ppm
GFHT = 0.01 g/L
pH4 6 8 10 12
Per
cent
SiO
2 S
orbe
d0%
20%
40%
60%
80%
100%SiO2,T=942 ppb; GFHT=0.1 g/LSiO2,T=1012 ppb; GFHT=0.01 g/LSiO2,T=8.98 ppm; GFHT=0.01 g/L
As(V) Si Ca
pH6 7 8 9 10 11 12
Per
cent
As
Sor
bed
0%
20%
40%
60%
80%
100% AsT = 103 ppbAsT = 522 ppb AsT = 2072 ppb
E33T = 0.01 g/L
GFH
E33
pH4 6 8 10 12
Per
cent
SiO
2 S
orbe
d
0%
20%
40%
60%
80%
100%SiO2,T=939 ppb; E33T=0.1 g/LSiO2,T=704 ppb; E33T=0.01 g/LSiO2,T=6.38 ppm; E33T=0.01 g/L
Bisolute Predictions on E33
pH6 7 8 9 10 11 12
Per
cent
As
Sor
bed
0%
20%
40%
60%
80%
100%E33T = 0.01 g/L
AsT=103 ppbSingle Solute Model AsT=102 ppb As; SIO2,T=696 ppbAsT=106 ppb As; SIO2,T=6.29 ppmBisolute Model Bisolute Model
pH6 7 8 9 10 11 12
Per
cent
As
Sor
bed
0%
20%
40%
60%
80%
100%
AsT=108 ppbSingle Solute Model AsT=111 ppb; Ca2+T=2.06 ppm
AsT=108 ppb; Ca2+T=11.7 ppm
AsT=111 ppb; Ca2+T=2.06 ppm model
AsT=108 ppb; Ca2+T=11.7 ppm model
E33T = 0.01 g/L
As/Si As/Ca
pH6 7 8 9 10 11 12
Per
cent
As
Sor
bed
0%
20%
40%
60%
80%
100%
AsT=103 ppbSingle Solute Model
pH4 6 8 10 12
Per
cent
Ca2
+ S
orbe
d
Ca2+T=1.96 ppmSingle solute model
pH4 6 8 10 12
Perc
ent S
iO2
Sorb
ed
SiO2,T=1012 ppbSingle Solute Model
AsT=113 ppb; Ca2+T=1.42 ppm; SiO2,T=11.5 ppm
AsT=113 ppb; Ca2+T=1.42 ppm; SiO2,T=11.5 ppm
Tri-Solute Predictions on E33
Summary
• Precipitation, complexation and adsorption in alum coagulation are intricately linked
• Most adsorption models examine aged precipitates
• Most precipitation models do not evaluate short term effects of adsorption
• Understanding the mechanisms of these precipitation and adsorption processes will allow better estimation of removals of contaminants in coagulation systems
Extra Slides
Effect of pH on Al Residuals
Fluoride Removal
Organic Removal
Fluoride Removal
Organic Removal
CO Water UV-254 Removal Alum Dose
(mg/L) Removal
(%)
20 33
50 40
100 47
150 50
200 51
300 55