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1 Gehring, T.; Deineko, E.; Hobus, I.; Kolisch, G.; Lubken, M.; Wichern, M. 2021. Effect of sewage sampling frequency on determination of design parameters for municipal wastewater treatment plants. Water Science and Technology, 84(2):284-292. [doi: https://doi.org/10.2166/wst.2020.588]
Municipal wastewater ; Wastewater treatment plants ; Sewage ; Pollutant load ; Temperature ; Estimation ; Datasets ; Uncertainty / Germany / Switzerland
(Location: IWMI HQ Call no: e-copy only Record No: H050515)
https://iwaponline.com/wst/article-pdf/84/2/284/914986/wst084020284.pdf
https://vlibrary.iwmi.org/pdf/H050515.pdf
https://vlibrary.iwmi.org/pdf/H050515.pdf
(0.59 MB) (600 KB)
The uncertainty associated with the determination of load parameters, which is a key step in the design of wastewater treatment plants (WWTPs), was investigated on the basis of data sets from 58 WWTPs. A further analysed aspect was the organic load variations associated with variable sewage temperatures. Data from 26 WWTPs with a high inflow sampling frequency was used to simulate scenarios to investigate the effect of lower sampling frequencies through a Monte Carlo approach. The calculation of 85-percentile values for chemical oxygen demand (COD) loadings based on only 26 samples per year is associated with a variability of up to ±18%. Approximately 90 samples per year will be necessary to reduce this uncertainty for estimation of COD loadings below 10%. Hence, a low sampling frequency can potentially lead to under- or overestimation of design parameters. Through an analogous approach, it was possible to identify uncertainties of ±11% in COD loading when weekly average data was used with four samples per week. Finally, a tendency to lower COD input loads with increasing temperatures was identified, with a reduction of about 1% of the average loading per degree Celsius.
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