sampling for lead in drinking water: approaches and
TRANSCRIPT
Sampling for Lead in Drinking Water: Approaches and Applications
Casey FormalORAU
Darren A. LytleUS EPA
Water Supply and Water Resources DivisionNational Risk Management Research Laboratory
Office of Research and Development
Lead Sampling of Drinking Water
Regulatory/compliance/treatment sampling Exposure assessment sampling Lead levels are difficult to predict because of
variability within premise plumbing There is no universally applicable sampling
approach for lead in drinking water Different sampling approaches answer
different questions about lead levels
Lead Sampling ConsiderationsSampling Considerations: Volume Number of samples Site choice Stagnation time Sampling frequency
Variables: Flow rate Temperature Particulate release Aerator removal
Lead Sample Types
Purpose ProtocolFirst Draw* -Regulatory (US)
-Treatment assessment
-6+ hour stagnation (16-18h in this study)-Collect first liter
Random Daytime* (RDT)
-Regulatory (UK)-Treatment assessment
-Random samplecollection (variable stagnation times)-Collect first liter
Composite Proportional
-Exposure assessment -Device required-Percentage of every draw from a tap for consumption is collected
Manual Composite*
-Exposure assessment -A fixed amount (60 mL) of water is collected every time tap is used for consumption
Lead Sample Types
Purpose Protocol
Lead Service Line* (LSL) -Lead release from service line
-16-18h stagnation-Sample collected directly from service line
Stagnation Profile*
-Observe rate of lead release from service line-Find equilibrium point
-Multiple stagnation times (15 min-18h)-Collected directly from LSL
Sequential Profile Sampling*
-Lead source assessment
-Defined stagnation time-Collect 10-20 samples of defined volume (125mL, 250mL, 1L etc.)
Lead Sample Types
Purpose Protocol
Fixed Stagnation Time (30MS)
- Regulatory (Ontario)- Treatment assessment
- 2-5 min flush- 30 min stagnation- Collect first two liters
Service Line Sampling (Second Draw)
- Regulatory (US)- Lead source assessment
-6+ hr stagnation-Flush volume between tap and LSL-Collect 1L
Particle Stimulation Sampling - Lead type assessment
- Exposure assessment
-5 min stagnation- Collect first liter and max flow rate, open and close tap 5 times, fill rest of bottle at normal flow rate- Collect third liter the same way as the first
Comparison of Different Sampling Results
Cumulative Volume (L)
0 2 4 6 8 10 12 14 16
Lea
d (µ
g/L
)
0
10
20
30
40
June 2016September 2016June 2017
Flow Meter
Building Cold Water Supply
Lead
Ser
vice
Lin
e
Faucet 4 Faucet 3
Toilet
Faucet 2
Shower
Faucet 1Aci
d Fe
ed
Hot Water Heater: 48.9° C
401” 358” 635” 584”472”519” 612”644” 652”726”
Lead Soldered Joint80
”
*Not to scale
214”
RecirculationPump
Brass Check ValveBrass Ball Valve
Cold Water Line (½ inch Cu, Type M)Hot Water Line (½ inch Cu, Type M)
Lead Service Line
Excavated by Greater Cincinnati Water Works. 80” LSL split into two 40” halves. Conditioned September, 2016 to February, 2017.
Continuously flushed with cold water. Approx. 29,000 gallons over 6 months.
Connected to rest of HPS on February 27th, 2017.
Objectives
Compare the lead levels of samples collected with different approaches.
Use a home plumbing system simulator (HPS) with known lead components and water use to perform sampling comparisons.
Evaluate impacts of water usage on lead release from lead-tin solder, brass, and a lead service line.
Water Usage Patterns
“Normal Use” ≈ 120 gpdSimulated
ActivityHPS
LocationDaily Count
Volume of Water Used per Activity, mL
DurationHot, cold, or
mixComposite
Sample?
Glass of Water Faucet 3 4-6 4-6 200-400 mL NA cold Yes
Cooking Water Faucet 3 1-2 1-2 250-1500 mL NA variable Yes
Kitchen Tap Faucet 3 1-3 1-3 250 mL-35 L median 1L 5 s-10 min, median 20 s variable No
Bathroom Tap Faucet 2 2-6 2-6 250 mL-18 L median 1L 5 s-5 min, median 20 s variable No
2nd Bathroom Tap
Faucet 4 2-5 2-5 250 mL-18 L median 1 L 5 s-5 min, median 20 s variable No
Shower Shower 1-2 1-2 NA 6-10 min mix No
Toilet Toilet 3-6 3-6 5299.574 NA cold No
Washing Machine
Faucet 13-7 per
week136080 Exactly 28 min
cold tap fully open, hot open to marking
No
Dishwasher Faucet 11-3 per
week18927.05 Exactly 1 h
hot tap open to marking,
cold tap closed
No
10a-4p8a-10a
Water Usage PatternsNormal
UseReduced
Normal UseMinimum
UseMinimum
Use x2
Minimum Use and
Toilet
Minimum Use and
Pre-FlushDaily Use, gal 120 60 1.4 2.8 6.5 13
Pattern
A water usage goal was in
place for each day, but
fixtures were flushed on a
random schedule
-”Normal Use” number of
events cut in half
-8 glasses of water a day (200-400mL
each)
-8 glasses of water (400-
800 mL each)
-8 glasses of water (400-
800mL each)-3 toilet flushes
-minimum use protocol
-10 minute cold water
flush prior to stagnation
11/16/17: Begin collecting three composite samples.
Normal Use
Reduced Normal
Use
4/10/18: Correct LCR sampling day.
Minimum Minimum x2
Minimum use and Toilet
Minimum and pre-flush
Sequential profile sampling.
MinimumReduced Normal
Use
6/22/17-6/30/17 Stagnation profile samples from LSL.
End of Study
May, 2017 Aug, 2017 Nov, 2017 Feb, 2018 May, 2018 Aug, 2018 Nov, 2018 Feb, 2019
Feb/17 May/17 Aug/17 Nov/17 Feb/18 May/18 Aug/18 Nov/18 Feb/19
Lea
d, µ
g/L
0
100
200
300
40016-18h Unfiltered16-18h Filtered65h Unfiltered65h Filtered
N
M U
R N M U M U
C
Results: LSL
LSL quickly stabilized after installation.
No significant difference between overnight and weekend stagnation.
89% of total lead is soluble.
Normal Use
Reduced Normal
UseMinimum Minimum
x2
Minimum use and Toilet
Minimum and pre-flush
MinimumReduced Normal
Use
End of Study
Impact of pH on Lead Levels
Soluble lead during peak lead release was 82%.
Soluble lead during lower lead release was 92%.
Relationship between pH and lead solubility is consistent with cerussite and hydrocerussite modeling.
pH
7.0 7.5 8.0 8.5 9.0
Lea
d, µ
g/L
0
100
200
300
400
LSL SamplesDIC 10 mg C/LDIC 25 mg C/LDIC 50 mg C/L
Results: Sequential Profiles LSL contribution decreases
with distance. Lead peaks correlated with
the location of the LSL. Lead levels trailed off after
the peak. Max lead levels measured in
faucets 1,2,3 and 4 were only 17%, 21%, 28%, and 42% of LSL lead levels.
Volume, L
0.0 0.5 1.0 1.5 2.0 2.5 3.0
Lea
d, µ
g/L
0
10
20
30
40
50
60
70
Distance from LSL, in0 200 400 600 800 1000
Faucet 1Faucet 2Faucet 3Faucet 4
38µg
32µg
27µg
27µg
Stagnation Profile
Lead increases logarithmically with stagnation time.
Equilibrium is reached between 7-17h
55% of equilibrium lead is already leached into water after 2 hours. Limitations of lead flushing
programs.
Stagnation Time (Hours)
0 5 10 15 20
Lea
d (µ
g/L
)
0
20
40
60
80
100
120
140
160
180
Total LeadExperimental Modeled Leadr2=0.935
Tap Sample Results
L
ead
Con
cent
ratio
n, µ
g/L
0
5
10
15
20
25
30
35
40
45
50
55
60
65
First-DrawRDTComposite
NormalUse
Reduced Use
MinimumDaily
Minimum2x
Minimum5x
Minimum 5xCorrected
ReducedUse
MinimumCorrected
Minimumand Flush
120 60 1.4 2.8 6.5 6.5 60 1.4 13Minimum
1.4
Results
First-Draw
0 10 20 30 40 50 60
Com
posi
te
0
10
20
30
40
50
60
f(x)= 2.02*xr2=0.68
First-draw
0 10 20 30 40 50 60
RD
T
0
10
20
30
40
50
60
f(x)= 1.72*xr2=0.73
RDT
0 10 20 30 40 50 60
Com
posi
te
0
10
20
30
40
50
60
f(x)=0.97*xr2= 0.71
• Composite and RDT samples are typically higher than first-draw samples collected on the same day.
• Composite and RDT samples collected on the same day show no significant difference.
Conclusions
Water usage, sampling approach, water quality, distance from the service line, and other factors impact lead levels.
Lead levels reach half of the equilibrium concentration after only 2 hours.
Sequential sampling accurately identified the presence and location of the LSL.
First-draw samples were consistently lower than RDT and composite samples, and were less successful at identifying periods of increased lead release.
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NoticeThe U.S. Environmental Protection Agency, through its Office of
Research and Development, funded and managed, or partially funded and collaborated in, the research described herein. It has been
subjected to the Agency’s peer and administrative review and has been approved for external publication. Any opinions expressed in this
paper are those of the author (s) and do not necessarily reflect the views of the Agency, therefore, no official endorsement should be
inferred. Any mention of trade names or commercial products does not constitute endorsement or recommendation for use.