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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2021
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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) |
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DOAJ |
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EN |
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chemical oxygen demand inflow load variation monte carlo simulation sampling frequency wastewater treatment plant design uncertainty analysis Environmental technology. Sanitary engineering TD1-1066 |
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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 AT ihobus effectofsewagesamplingfrequencyondeterminationofdesignparametersformunicipalwastewatertreatmentplants AT gkolisch effectofsewagesamplingfrequencyondeterminationofdesignparametersformunicipalwastewatertreatmentplants AT mlubken effectofsewagesamplingfrequencyondeterminationofdesignparametersformunicipalwastewatertreatmentplants AT mwichern effectofsewagesamplingfrequencyondeterminationofdesignparametersformunicipalwastewatertreatmentplants |
_version_ |
1718443738798227456 |