how sqid proprietors can exaggerate stormwater treatment ... · 12 29 9 69% 0.040 0.005 88% 0.800...
TRANSCRIPT
www.oceanprotect.com.au
Ocean Protect webinar
19 August 2020
Michael Wicks
How SQID proprietors can exaggerate
stormwater treatment performance claims
via SQIDEP
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Background - SQIDEP
Key issues
Does it really matter?
Where to from here ?
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What is SQIDEP?
The development
The consultation process
More rigorous scientific outcome ?
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❖ http://stormwaterqueensland.asn.au/wp-content/uploads/2020/03/SQ-SQIDEP-Submission-Final.pdf
❖ https://stormwaternsw.asn.au/wp-content/uploads/2019/09/Stormwater-NSW-Comments-and-Advice-on-SQIDEP.pdf
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Key issues:
o No need for non-sequential events,
enabling ‘cherry picking’ of data
o No minimum requirement for dissolved
inorganic nitrogen
o No minimum performance standards
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Key issues (cont’d)
o No minimum performance standard
o Inconsistencies & difficulties with
current practice
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Cherry picking example #1
o One site … two published articles
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2015 Published Data 2018 Published Data
o Same Site
o Same Technology
o Missing and Different Data
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Cherry picking example #2
o Field-scale monitoring
o 26 storm events
o ~2 years
Technology ID & Storm Event Date
Water Quality Results
TSS Total P TN
Influent (mg/L) Effluent (mg/L) CRE (%)Influent (mg/L)
Effluent (mg/L)
CRE (%)Influent (mg/L)
Effluent (mg/L)
CRE (%)
1 36 13 64% 0.080 0.040 50% 1.730 0.860 50%
2 13 2.5 81% 0.060 0.040 33% 1.560 0.300 81%
3 19 8 58% 0.170 0.050 71% 3.330 2.270 32%
4 22 6 73% 0.160 0.070 56% 2.370 1.820 23%
5 60 12 80% 0.130 0.005 96% 2.930 1.330 55%
6 31 10 68% 0.070 0.040 43% 1.510 1.120 26%
7 22 15 32% 0.110 0.070 36% 1.870 2.260 -21%
8 15 2.5 83% 0.070 0.060 14% 1.660 1.160 30%
9 52 10 81% 0.120 0.040 67% 0.900 0.310 66%
10 15 8 47% 0.060 0.020 67% 1.350 1.020 24%
11 51 8 84% 0.190 0.050 74% 1.660 0.920 45%
12 29 9 69% 0.040 0.005 88% 0.800 0.520 35%
13 16 2.5 84% 0.050 0.005 90% 0.850 0.500 41%
14 30 6 80% 0.070 0.010 86% 0.750 0.270 64%
15 26 2.5 90% 0.130 0.020 85% 1.810 0.500 72%
16 36 10 72% 0.060 0.020 67% 1.420 0.600 58%
17 90 2.5 97% 0.120 0.005 96% 0.660 0.290 56%
18 138 41 70% 0.760 0.040 95% 4.180 1.450 65%
19 92 11 88% 0.290 0.050 83% 3.000 2.140 29%
20 98 36 63% 0.160 0.070 56% 1.520 1.140 25%
21 13.75 2.5 82% 0.080 0.067 17% 0.875 0.607 31%
22 37 2.5 93% 0.680 0.040 94% 1.310 2.140 -63%
23 39 2.5 94% 0.150 0.020 87% 0.580 0.390 33%
24 52 8 85% 0.120 0.030 75% 0.940 0.610 35%
25 8 2.5 69% 0.010 0.005 50% 0.260 0.110 58%
26 15 2.5 83% 0.040 0.005 88% 0.860 0.380 56%
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TSS TP TN
All qualifying data for FT study
Number of Storm Events 26 26 26
Mean influent (mg/L) 40.6 0.153 1.565
Mean effluent (mg/L) 9.1 0.034 0.962
Median CRE 80.4% 72.1% 38.1%
ER 77.6% 78.0% 38.5%
SQIDEP V1.3 (including cherry picking of best 15 for TN removal)
Number of Storm Events 15 15 15
Mean influent (mg/L) 43.5 0.132 1.421
Mean effluent (mg/L) 8.8 0.021 0.597
Median CRE 80.8% 84.6% 56.1%
ER 79.8% 83.8% 58.0%
50% increased
efficiency via
SQIDEP
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DIN and The Nitrogen Cycle
❖ Always easier to remove Particulate vs. Soluble
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Dissolved Inorganic
Nitrogen (DIN)
Removal PathwaysCation Exchange Anion
Exchange
De-Nitrification by
Biological Processes
Expensive ca. $45,000/t of media
Time!
Mainly Particulate
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Example ‘real world’ SQID monitoring data
Same filter, same media
ca. 2x Flow Rate 1x Flow Rate
TSS TP TN
All data SF study #1
Number of Storm Events 21 21 21
Mean influent (mg/L) 302.3 0.254 0.921
Mean effluent (mg/L) 34.6 0.058 0.351
Median CRE 90.0% 78.3% 59.2%
TSS TP TN
All data SF study #2
Number of Storm Events 13 11 10
Mean influent (mg/L) 34.6 0.223 1.000
Mean effluent (mg/L) 3.3 0.031 0.440
Median CRE 90.2% 76.1% 36.7%
15% DIN 46% DIN
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Water Quality & Flow Rate
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Example laboratory test to NJCAT
Protocol of a filter
https://www.climateincorp.com/wp-content/uploads/2018/03/Climate-
Hydrosystem-Quality-Assurance-Plan.pdf
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TSS
All Data at 2.25L/s Treatable Flow Rate
Number of Samples 3
Mean influent (mg/L) 188.0
Mean effluent (mg/L) 63.3
Median CRE 65.9%
ER 66.3%
All Data at 1.1L/s Treatable Flow Rate
Number of Samples 10
Mean influent (mg/L) 266.2
Mean effluent (mg/L) 48.2
Median CRE 81.8%
ER 81.9%
19% increased efficiency
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Verification & Governance
Conflicts of interest declaration (& management ?)
Appropriate validation framework
o Scoring/weighting system
o Disclosure of reporting to competitors
o Thorough grievance process
Verification statements
Verification Validity Period and “Grandfathering”
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How SQID proprietors can exaggerate stormwater treatment
performance claims via SQIDEP
‘Cherry pick’ data
o Best 15 events ?
o Non-sequential events
o Low influent DIN
o Exploit lack of minimum standards
Get SQIDEP verification now
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Does it really matter ?
100
63
42
3225
20 1710
45 46 47 48 49 50 51 52 53 54 55
Qu
anti
ty o
f C
artr
idge
s
Total Nitrogen Removal Efficiency in Generic Node (%)
Impact of TN Removal Increase on Cartridge Quantity
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But, really ……
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Where to from here ?
http://stormwaterqueensland.asn.au/way-forward-sqidep/
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But I can’t wait what can I do now?
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Ask for the data (with no distribution
restrictions)
o Storm sequence log
o Individual storm reports
o Chain of custodies
o Lab reports
Ask for conflicts of interest
declarations from all personnel
involved (e.g. peer reviewers)
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Follow one of the leading regulators in the
country for a period of 1-2 years
An interim solution?
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THANK YOU Michael Wicks
0409 361 589
www.oceanprotect.com.au
1300 354 722