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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.
1
Technical Papers
A STATISTICAL APPROACH TO
ASSESS STORMWATER TREATMENT
DEVICE PERFORMANCE DATA
A demonstration of how statistical methods can be
used to gauge whether or not presented data sets
are sufficient to draw reliable conclusions
C Kelly, A Bardak
ABSTRACT There is a range of engineered analysis to be conducted, such as the
stormwater treatment systems to paired t-test, and calculations involving
It has long been established that the pre-
consider. Assessing the performance confidence intervals, and the number of
treatment of stormwater runoff prior to
of hard engineered systems requires paired samples required to achieve a given
reaching its final destination is essential
quantification of inputs and outputs to confidence level. Table 1 displays a data set
for river and catchment health. There is a
receiving environments under a diverse of 10 qualifying events (Kelly and Bardak,
plethora of stormwater runoff treatment
range of event durations, flow rates and 2015), which is used to demonstrate this
devices either available or about to
loads (Herr and Sansalone, 2015). statistical approach for three pollutants:
enter the market. Stormwater Australia
Total Suspended Solids (TSS), Total
has released a consultation draft of its Stormwater Australia has released
Phosphorus (TP) and Total Nitrogen (TN).
Stormwater Quality Improvement Device a consultation draft of its Stormwater
Evaluation Protocol (SQIDEP), which Quality Improvement Device Evaluation The Event Mean Concentration (EMC) is
includes a requirement to undertake Protocol, or SQIDEP (2014), which a flow-weighted concentration parameter
statistical assessment as part of the includes a requirement for statistical derived for each storm. It can be calculated
validation of performance data. assessment to validate the performance as follows (Geosyntec Consultants &
data. There remains an important step Wright Water Engineers, 2009):
This paper uses data from a field- in the further development of SQIDEP,
testing case study of an engineered which is to engage with academia and
treatment technology to demonstrate regulators to reach a consensus on the
how statistical methods can be used to robustness of a statistical approach.
where:
determine whether or not the data sets
being presented are actually sufficient Field-testing data are used in this
paper to illustrate a statistical assessment
to be able to draw reliable conclusions.
process to determine whether or not the
The assessment is conducted for Total
data sets being presented are actually The Concentration Removal Efficiency
Suspended Solids, Total Phosphorus and
sufficient for statistically valid conclusions (CRE) method was used to calculate the
Total Nitrogen data, and shows that the
to be drawn. The paper presents a per cent removal in Kelly and Bardak
required number of paired samples is
worked example of the proposed analysis (2015). It is also used in this paper to
different for each of these parameters
technique using a data set reported in demonstrate the statistical methodology.
and depends on the variability of the
Kelly and Bardak (2015) for a proprietory CRE% was calculated for each event as
data sets. It is necessary to engage
stormwater treatment device (the follows (Geosyntec Consultants & Wright
with academia and regulators to reach
Jellyfish Filter). Details on experimental Water Engineers, 2009):
a consensus on the robustness of a set-up, sampling methods used and
statistical approach, and this paper definitions of qualifying events are
provides an example. reported in Kelly and Bardak (2015).
INTRODUCTION METHOD DETAIL It should be noted that there are
Stormwater runoff transports a range AND RESULTS several recommended methods that can
of pollutants and is a significant non- Initially, potential outliers are identified, be used to calculate the contaminant
point source of urban water pollution. examined and removed (if necessary). removal efficacy, such as CRE, Efficiency
It has long been established that the The data is then tested for normality to Ratio, Mass Reduction Efficiency, etc.
pre-treatment of stormwater runoff identify which statistical methods can Selection of a relevant percentage
prior to reaching its final destination is be used on that set. For cases where removal calculation method is discussed
essential for river and catchment health the raw data is not normally distributed, in SQIDEP (Stormwater Australia, 2014)
(Herr and Sansalone, 2015). Effective but appears to be positively skewed, and Geosyntec Consultants and Wright
treatment requires technologies that are a lognormal transformation may be Water Engineers (2009). The following
appropriate to site constraints, as well as applicable (Singh et al., 1997). Normally statistical assessment approach can be
rainfall and pollutant load characteristics. distributed data allows standard statistical applied to all of these methods.
MAY 2015 WATER
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