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What is the best statistical method for quantifying wastewater quality

Water bacteria viruses wastewater statistic

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6 replies to this topic

#1 Osu

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Posted 19 April 2012 - 08:33 AM

• I am about working on the Final effluent of a Waste water treatment plant. I will be collecting samples for a period of 12 months; 1 (one) sample per month. Sample collections will be split between autumn, winter, summer and spring. The physiochemical parameters like Temperature, pH, Electrical conductivity (EC), Turbidity, total dissolved oxygen (TDS) and dissolved oxygen (DO) will be taken along with the microbiological components like bacteria (Feacal coliform , E.coli and Vibrio) and viruses (Enteri virus, Rotavirus, Norovirus and Adenovirus)will also be looked into. The whole data collected is to access the quality of the final effluent wastewater and what interaction exist between the physiochemical components and microbiological components

• I want to know which statistic analysis method best analyse the data collected and why?

• If more than one statistic method can be use, please can all responders be simple and clear about their explanation on their choice of methods. Advices and suggestions will be highly appreciated. Thank you



#2 hobglobin

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Posted 19 April 2012 - 10:02 AM

There's no best method...it depends what you want to find out and also not, because you have different data types such as measured data (e.g. temperature, pH, electrical conductivity) and count data (if the bacteria and viruses are counted, not sure about that).
Anyway you can try to find correlations between different measurements such as DO and temperature or bacteria content and turbidity (though they sound quite commonplace for me).
Do you have any hypotheses for your data you want to prove? (e.g. a season or a certain treatment changes the values somehow or that interactions exist between different parameters....)

and as addendum:
For quality don't you have just to compare your data with threshold values that are given and if values are within the ranges (+/- some error range) it's okay?

Edited by hobglobin, 19 April 2012 - 10:09 AM.

One must presume that long and short arguments contribute to the same end. - Epicurus
...except casandra's that belong to the funniest, most interesting and imaginative (or over-imaginative?) ones, I suppose.

#3 newborn

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Posted 19 April 2012 - 11:45 PM

What is the outcome of quality of waste water? is there any scale for the quality? a list of points? or quality test on fish survival?

If you can find a tool for quality of the waste water, a logistic regression analysis is a nice method.

#4 Osu

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Posted 20 April 2012 - 07:07 AM

There's no best method...it depends what you want to find out and also not, because you have different data types such as measured data (e.g. temperature, pH, electrical conductivity) and count data (if the bacteria and viruses are counted, not sure about that).
Anyway you can try to find correlations between different measurements such as DO and temperature or bacteria content and turbidity (though they sound quite commonplace for me).
Do you have any hypotheses for your data you want to prove? (e.g. a season or a certain treatment changes the values somehow or that interactions exist between different parameters....)

and as addendum:
For quality don't you have just to compare your data with threshold values that are given and if values are within the ranges (+/- some error range) it's okay?



Unfortunately the treatment plant doesn't not have threshold standard they use (which I find unsual). I want to resist the temptation of using other international standard neither by the US, Europe nor WHO.

There is no working hypothesis for the data. Just a general hypothesis and the statistic aspect is just by the way. Any suggestive guide can you ? Thank you

#5 Osu

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Posted 20 April 2012 - 07:14 AM

What is the outcome of quality of waste water? is there any scale for the quality? a list of points? or quality test on fish survival?

If you can find a tool for quality of the waste water, a logistic regression analysis is a nice method.


The research is just about to start, so no outcome yet.. The treatment plant doesn't have scale by which they access their effluent quality. We (I) are to develop one from the outcome of the research. Can please enligten more on the logistic regression method

#6 hobglobin

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Posted 20 April 2012 - 08:37 AM

Unfortunately the treatment plant doesn't not have threshold standard they use (which I find unsual). I want to resist the temptation of using other international standard neither by the US, Europe nor WHO.

There is no working hypothesis for the data. Just a general hypothesis and the statistic aspect is just by the way. Any suggestive guide can you ? Thank you

That surprises me as I thought that there are general laws and regulations/standards every operator of such waste water treatment plant has to follow...From which country are you coming?
Anyway such standards can help you even if your plant ignores them: take them as the aim your plant should follow ideally and try to find out under which circumstances these standards are achieved and when not (i.e. they are within the limits or not)....
Statistics here could be that the deviations from standards are significant or not compared to a clean control sampled under same conditions (if you have this). But surely it's easier to take just given standards. Here modelling might be an option if it's not too difficult...it's then e.g. to predict future deviations from standards and how to avoid them by changing parameters (adding chemicals, increasing oxygen content, reducing waste water input, etc). This goes then to optimisation of the control of bioprocesses and chemical treatments...

But this depends what you want to find out and what the plant wants too finally and if there are such options...
One must presume that long and short arguments contribute to the same end. - Epicurus
...except casandra's that belong to the funniest, most interesting and imaginative (or over-imaginative?) ones, I suppose.

#7 Osu

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Posted 21 April 2012 - 09:32 AM

Thank you all. Will come around again as soon as the numbers starts coming in...God bless





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