Developing a Stochastic Sewer Input Model to Support Sewer Design Under Water Conservation Measures

Olivia Bailey, Johannes A. M. H. Hofman, Thomas Arnot, Zoran Kapelan, Mirjam Blokker, Jan Vreeberg

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Population growth and climate change place a strain on water resources. There is growing motivation to reduce household water use. UKWIR (2016) have stated the aim to halve water abstraction by 2050. This will significantly reduce inflow to the sewer and drive up wastewater concentration. How will our sewers respond to this and could changes in design lead to a more efficient system in the future? This work presents the development and calibration of a stochastic sewer input model that will predict both hydraulic and pollutant loading for various water saving scenarios. For the first time the stochastic water demand model SIMDEUM® will be integrated with InfoWorks ICM (Sewer Edition), software for hydraulic sewer modelling. This enables accurate time dependent predictions of water, BOD and nitrogen loads from household discharges to the sewer under dry weather conditions. Calibration has been carried out using two sets of sewerage data from small residential catchments in the Wessex Water region of the UK. The model gives an accurate prediction of the diurnal patterns of sewage discharge at a household level. This will be used as an input to future sewer simulation models to accurately predict changes to flow velocity and pollutant concentration as a consequence of water conservation.
Original languageEnglish
Title of host publicationNew Trends in Urban Drainage Modelling
Subtitle of host publicationUDM 2018
EditorsG. Mannina
Place of PublicationCham, Switzerland
PublisherSpringer International Publishing
Pages74-78
Number of pages4
ISBN (Print)9783319998664
DOIs
Publication statusE-pub ahead of print - 1 Sep 2018

Publication series

NameGreen Energy and Technology (GREEN)
ISSN (Print)1865-3529
ISSN (Electronic)1865-3537

Cite this

Bailey, O., Hofman, J. A. M. H., Arnot, T., Kapelan, Z., Blokker, M., & Vreeberg, J. (2018). Developing a Stochastic Sewer Input Model to Support Sewer Design Under Water Conservation Measures. In G. Mannina (Ed.), New Trends in Urban Drainage Modelling: UDM 2018 (pp. 74-78). (Green Energy and Technology (GREEN)). Cham, Switzerland: Springer International Publishing. https://doi.org/10.1007/978-3-319-99867-1_13

Developing a Stochastic Sewer Input Model to Support Sewer Design Under Water Conservation Measures. / Bailey, Olivia; Hofman, Johannes A. M. H.; Arnot, Thomas; Kapelan, Zoran; Blokker, Mirjam; Vreeberg, Jan.

New Trends in Urban Drainage Modelling: UDM 2018. ed. / G. Mannina. Cham, Switzerland : Springer International Publishing, 2018. p. 74-78 (Green Energy and Technology (GREEN)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bailey, O, Hofman, JAMH, Arnot, T, Kapelan, Z, Blokker, M & Vreeberg, J 2018, Developing a Stochastic Sewer Input Model to Support Sewer Design Under Water Conservation Measures. in G Mannina (ed.), New Trends in Urban Drainage Modelling: UDM 2018. Green Energy and Technology (GREEN), Springer International Publishing, Cham, Switzerland, pp. 74-78. https://doi.org/10.1007/978-3-319-99867-1_13
Bailey O, Hofman JAMH, Arnot T, Kapelan Z, Blokker M, Vreeberg J. Developing a Stochastic Sewer Input Model to Support Sewer Design Under Water Conservation Measures. In Mannina G, editor, New Trends in Urban Drainage Modelling: UDM 2018. Cham, Switzerland: Springer International Publishing. 2018. p. 74-78. (Green Energy and Technology (GREEN)). https://doi.org/10.1007/978-3-319-99867-1_13
Bailey, Olivia ; Hofman, Johannes A. M. H. ; Arnot, Thomas ; Kapelan, Zoran ; Blokker, Mirjam ; Vreeberg, Jan. / Developing a Stochastic Sewer Input Model to Support Sewer Design Under Water Conservation Measures. New Trends in Urban Drainage Modelling: UDM 2018. editor / G. Mannina. Cham, Switzerland : Springer International Publishing, 2018. pp. 74-78 (Green Energy and Technology (GREEN)).
@inproceedings{812ab359edf3421184cdf73f724563e5,
title = "Developing a Stochastic Sewer Input Model to Support Sewer Design Under Water Conservation Measures",
abstract = "Population growth and climate change place a strain on water resources. There is growing motivation to reduce household water use. UKWIR (2016) have stated the aim to halve water abstraction by 2050. This will significantly reduce inflow to the sewer and drive up wastewater concentration. How will our sewers respond to this and could changes in design lead to a more efficient system in the future? This work presents the development and calibration of a stochastic sewer input model that will predict both hydraulic and pollutant loading for various water saving scenarios. For the first time the stochastic water demand model SIMDEUM{\circledR} will be integrated with InfoWorks ICM (Sewer Edition), software for hydraulic sewer modelling. This enables accurate time dependent predictions of water, BOD and nitrogen loads from household discharges to the sewer under dry weather conditions. Calibration has been carried out using two sets of sewerage data from small residential catchments in the Wessex Water region of the UK. The model gives an accurate prediction of the diurnal patterns of sewage discharge at a household level. This will be used as an input to future sewer simulation models to accurately predict changes to flow velocity and pollutant concentration as a consequence of water conservation.",
author = "Olivia Bailey and Hofman, {Johannes A. M. H.} and Thomas Arnot and Zoran Kapelan and Mirjam Blokker and Jan Vreeberg",
year = "2018",
month = "9",
day = "1",
doi = "10.1007/978-3-319-99867-1_13",
language = "English",
isbn = "9783319998664",
series = "Green Energy and Technology (GREEN)",
publisher = "Springer International Publishing",
pages = "74--78",
editor = "G. Mannina",
booktitle = "New Trends in Urban Drainage Modelling",
address = "Switzerland",

}

TY - GEN

T1 - Developing a Stochastic Sewer Input Model to Support Sewer Design Under Water Conservation Measures

AU - Bailey, Olivia

AU - Hofman, Johannes A. M. H.

AU - Arnot, Thomas

AU - Kapelan, Zoran

AU - Blokker, Mirjam

AU - Vreeberg, Jan

PY - 2018/9/1

Y1 - 2018/9/1

N2 - Population growth and climate change place a strain on water resources. There is growing motivation to reduce household water use. UKWIR (2016) have stated the aim to halve water abstraction by 2050. This will significantly reduce inflow to the sewer and drive up wastewater concentration. How will our sewers respond to this and could changes in design lead to a more efficient system in the future? This work presents the development and calibration of a stochastic sewer input model that will predict both hydraulic and pollutant loading for various water saving scenarios. For the first time the stochastic water demand model SIMDEUM® will be integrated with InfoWorks ICM (Sewer Edition), software for hydraulic sewer modelling. This enables accurate time dependent predictions of water, BOD and nitrogen loads from household discharges to the sewer under dry weather conditions. Calibration has been carried out using two sets of sewerage data from small residential catchments in the Wessex Water region of the UK. The model gives an accurate prediction of the diurnal patterns of sewage discharge at a household level. This will be used as an input to future sewer simulation models to accurately predict changes to flow velocity and pollutant concentration as a consequence of water conservation.

AB - Population growth and climate change place a strain on water resources. There is growing motivation to reduce household water use. UKWIR (2016) have stated the aim to halve water abstraction by 2050. This will significantly reduce inflow to the sewer and drive up wastewater concentration. How will our sewers respond to this and could changes in design lead to a more efficient system in the future? This work presents the development and calibration of a stochastic sewer input model that will predict both hydraulic and pollutant loading for various water saving scenarios. For the first time the stochastic water demand model SIMDEUM® will be integrated with InfoWorks ICM (Sewer Edition), software for hydraulic sewer modelling. This enables accurate time dependent predictions of water, BOD and nitrogen loads from household discharges to the sewer under dry weather conditions. Calibration has been carried out using two sets of sewerage data from small residential catchments in the Wessex Water region of the UK. The model gives an accurate prediction of the diurnal patterns of sewage discharge at a household level. This will be used as an input to future sewer simulation models to accurately predict changes to flow velocity and pollutant concentration as a consequence of water conservation.

UR - http://www.scopus.com/inward/record.url?scp=85071573438&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-99867-1_13

DO - 10.1007/978-3-319-99867-1_13

M3 - Conference contribution

SN - 9783319998664

T3 - Green Energy and Technology (GREEN)

SP - 74

EP - 78

BT - New Trends in Urban Drainage Modelling

A2 - Mannina, G.

PB - Springer International Publishing

CY - Cham, Switzerland

ER -