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Jellyfish Compliance with SQIDEP · MCU15/0122
Attached to the e-mail MCU15/0122 - Response to Information Request -Stormwater (Jellyfish compliance) Email 3 of 3.
5
Technical Papers
mean CRE percentage for each pollutant,
Table 5. Confidence Levels for TSS, TP Table 6. Minimum number of paired
rather than the influent and effluent and TN about CRE % Removal. samples required to establish CRE%
concentration data. This is due to the at the 95% Confidence Level.
TSS TP TN
fact that justification is required by the TSS TP TN
approving authority for the percentage Sample Set Mean (µ) 91% 63% 51%
removal of the device, rather than the Z-Score (Zα/2) 1.96 1.96 1.96
Z-Score (Zα/2) 1.96 1.96 1.96
justification of influent and effluent COV 0.07 0.44 0.54
concentrations at the testing site, which Std. dev. (σ) 0.07 0.28 0.28
% Removal 91% 63% 51%
can be justified by aligning with referenced Number of Samples (n) 10 10 10
parameters for typical concentration Number of Paired
occurrences in Australia as described Std Error of the Mean Samples Required
4% 17% 17% 0.03 3.46 9.87
in Duncan (1999). Table 5 presents (SE) to Meet 95%
the confidence intervals for the data. Lower Confidence Confidence Interval
87% 46% 34%
Bound
It can be observed that TSS has a much POPULATION VARIABILITY
lower range than TP and TN. This can be Mean 91% 63% 51%
& SAMPLE NUMBER
attributed to the fact that the TSS data is Upper Confidence
more closely correlated and robust than 95% 80% 68% It is clear from Table 6 that the number
Bound
the other two data sets, as a narrower of paired samples required to achieve
confidence interval will indicate a more where the 95% confidence level can vary greatly
precise estimate, while a wider confidence depending on the target pollutant and
interval indicates a less precise estimate the variability of the particular data set.
of the true population mean (Tan and Tan, Next, setting the lower boundary Also, it might appear strange that there
2010). From Table 5 it can be concluded of the influent confidence interval to is less than one paired sample required
that we are 95% confident that the true the upper boundary of the effluent to satisfy the 95% confidence level for
population mean of the per cent removal confidence interval gives: the mean TSS removal figure (91%).
is between the lower and upper limit for Revisiting the TSS baseline data in
each pollutant type. Table 1, however, shows a very consistent
per cent removal rate for each event
MINIMUM NUMBER
regardless of influent concentration.
OF PAIRED SAMPLES The Coefficient of Variation (COV) is
Ensuring sufficient samples are collected then substituted for in the above Contrast this, however, with a different
for any type of field research should be equation using the standard relationship: TSS data set, using more paired samples
considered imperative to ensure that than shown in Table 1, where the results
statistically relevant conclusions can be will be very different. Table 7 is a set of
derived from the results. However, in It is more accurate to make the TSS data from a different site, using a
most stormwater data sets, no statistical assumption that as it is different treatment device to that used
processes are utilised to guide the highly likely that . Substituting for Table 1 data.
minimum sample size, and Burton and and rearranging the above equations and
Pitt (2002) suggest that most follow Table 7. Alternative example
solving for ‘n’ eventually yields: influent and effluent data for TSS for
subjective professional judgement. a different site and different treatment
device to that used in Table 1.
In order to numerically and statistically
show that there are sufficient data Event TSS EMCi TSS EMCe TSS
collected to ensure the required confidence Number (mg/L) (mg/L) CRE (%)
This formula will then calculate the
level, Burton and Pitt (2002) proposed minimum required number of paired 1 247 28 89
the use of a variety of basic equations, samples for a specific confidence level. 2 300 280 7
based on coefficients of variation, Z-scores, The results of this equation for the CRE
sample set means, and standard deviations. 3 233 113 52
test data can be seen in Table 6.
4 21 16 24
The Urban Stormwater BMP It is shown in Table 6 that TSS requires
Performance Monitoring Manual 5 32 23 28
less than one paired sample, TP requires
(Geosyntech, 2009), however, describes just over three paired samples, and TN 6 19 14 26
an equation specifically for sampling requires almost 10 paired samples to 7 55 40 27
stormwater treatment removal rates ensure a 95% confidence level of the
8 27 8 70
around a stormwater treatment device, mean % reductions in concentrations
based on similar methods described from Table 5. Given that there are 9 67 10 85
in Burton and Pitt (2002). The BMP 10 samples in the data set, and the 10 28 20 29
Performance Monitoring Manual minimum number of paired samples
11 70 35 50
(2009) begins with the formula defining required for each pollutant is all less
percentage removal (as a fraction than 10, we conclude this data set will 12 45 14 69
rather than a per cent): achieve statistical significance with a 95% 13 208 156 25
confidence level. Table 6 is a calculation 14 121 114 6
used to inform required sample numbers,
15 38 28 26
rather than an a posteriori calculation.
MAY 2015 WATER
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