Effect of sewage sampling frequency on determination of design parameters for municipal wastewater treatment plants

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 temperat...

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Autores principales: T. Gehring, E. Deineko, I. Hobus, G. Kolisch, M. Lübken, M. Wichern
Formato: article
Lenguaje:EN
Publicado: IWA Publishing 2021
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Acceso en línea:https://doaj.org/article/73a9ec8446b54d71bb7009117ea28fea
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spelling oai:doaj.org-article:73a9ec8446b54d71bb7009117ea28fea2021-11-06T11:13:33ZEffect of sewage sampling frequency on determination of design parameters for municipal wastewater treatment plants0273-12231996-973210.2166/wst.2020.588https://doaj.org/article/73a9ec8446b54d71bb7009117ea28fea2021-07-01T00:00:00Zhttp://wst.iwaponline.com/content/84/2/284https://doaj.org/toc/0273-1223https://doaj.org/toc/1996-9732The 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. HIGHLIGHTS Uncertainty of statistical measures for COD loads relating to sampling frequency.; Determination of yearly 85-percentile values from COD loads with one weekly sample results in an up to ±13% uncertainty.; Calculation of weekly averages of COD loads with four samples per week is associated with an uncertainty of up to ±11%.; Relative influent COD loading decreases with higher temperatures.;T. GehringE. DeinekoI. HobusG. KolischM. LübkenM. WichernIWA Publishingarticlechemical oxygen demandinflow load variationmonte carlo simulationsampling frequencywastewater treatment plant designuncertainty analysisEnvironmental technology. Sanitary engineeringTD1-1066ENWater Science and Technology, Vol 84, Iss 2, Pp 284-292 (2021)
institution DOAJ
collection DOAJ
language EN
topic chemical oxygen demand
inflow load variation
monte carlo simulation
sampling frequency
wastewater treatment plant design
uncertainty analysis
Environmental technology. Sanitary engineering
TD1-1066
spellingShingle chemical oxygen demand
inflow load variation
monte carlo simulation
sampling frequency
wastewater treatment plant design
uncertainty analysis
Environmental technology. Sanitary engineering
TD1-1066
T. Gehring
E. Deineko
I. Hobus
G. Kolisch
M. Lübken
M. Wichern
Effect of sewage sampling frequency on determination of design parameters for municipal wastewater treatment plants
description 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. HIGHLIGHTS Uncertainty of statistical measures for COD loads relating to sampling frequency.; Determination of yearly 85-percentile values from COD loads with one weekly sample results in an up to ±13% uncertainty.; Calculation of weekly averages of COD loads with four samples per week is associated with an uncertainty of up to ±11%.; Relative influent COD loading decreases with higher temperatures.;
format article
author T. Gehring
E. Deineko
I. Hobus
G. Kolisch
M. Lübken
M. Wichern
author_facet T. Gehring
E. Deineko
I. Hobus
G. Kolisch
M. Lübken
M. Wichern
author_sort T. Gehring
title Effect of sewage sampling frequency on determination of design parameters for municipal wastewater treatment plants
title_short Effect of sewage sampling frequency on determination of design parameters for municipal wastewater treatment plants
title_full Effect of sewage sampling frequency on determination of design parameters for municipal wastewater treatment plants
title_fullStr Effect of sewage sampling frequency on determination of design parameters for municipal wastewater treatment plants
title_full_unstemmed Effect of sewage sampling frequency on determination of design parameters for municipal wastewater treatment plants
title_sort effect of sewage sampling frequency on determination of design parameters for municipal wastewater treatment plants
publisher IWA Publishing
publishDate 2021
url https://doaj.org/article/73a9ec8446b54d71bb7009117ea28fea
work_keys_str_mv AT tgehring effectofsewagesamplingfrequencyondeterminationofdesignparametersformunicipalwastewatertreatmentplants
AT edeineko effectofsewagesamplingfrequencyondeterminationofdesignparametersformunicipalwastewatertreatmentplants
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AT gkolisch effectofsewagesamplingfrequencyondeterminationofdesignparametersformunicipalwastewatertreatmentplants
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