A stochastic model to predict flow, nutrient and temperature changes in a sewer under water conservation scenarios

Olivia Bailey; Ljiljana Zlatanovic; J. P. van der Hoek; Zoran Kapelan; Mirjam Blokker; Tom Arnot; Jan Hofman

doi:10.3390/w12041187

A stochastic model to predict flow, nutrient and temperature changes in a sewer under water conservation scenarios

Olivia Bailey, Ljiljana Zlatanovic, J. P. van der Hoek, Zoran Kapelan, Mirjam Blokker, Tom Arnot, Jan Hofman

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Abstract

Reducing water use could impact existing sewer systems but this is not currently well understood. This work describes a new flow and water quality model developed to investigate this impact. SIMDEUM WW® was used to generate stochastic appliance-specific discharge profiles for wastewater flow and concentration, which were fed into InfoWorks® ICM to quantify the impacts within the sewer network. The model was validated using measured field data from a sewer system in Amsterdam serving 418 households. Wastewater concentrations of TSS, COD, TKN, TPH were sampled on an hourly basis, for one week. The results obtained showed that the InfoWorks® model predicted the mass flow of pollutants well but, due to the current lack of a time-varying solids transport model within InfoWorks®, the prediction for wastewater concentration parameters was less good. Still, the model was deemed capable of analysing the effects of three water conservation strategies (greywater reuse, rainwater harvesting and water-saving appliances) on flow, nutrient concentrations, and temperature in sewer networks. Results show through a 62% reduction in sewer flow, COD, TKN and TPH concentrations increased by up to 111%, 84% and 75% respectively, offering more favourable conditions for nutrient recovery.

Original language	English
Article number	1187
Journal	Water
Volume	12
Issue number	4
DOIs	https://doi.org/10.3390/w12041187
Publication status	Published - 21 Apr 2020

Funding

This study was conducted as part of the Water Informatics Science and Engineering (WISE) Centre for Doctoral Training (CDT), funded by the UK Engineering and Physical Sciences Research Council, Grant No. EP/L016214/1. Olivia Bailey is supported by a research studentship from this CDT. Funding was also obtained from the TopsectorWater & Maritime TKIWatertechnology Program of the Dutch Ministry of Economic Affairs and Climate Change (No. 2016TUD003, project New Urban Water Transport Systems), water utility Waternet, drinking water companies BrabantWater, Limburg and Evides, water authority De Dommel, Amsterdam Institute for Advanced Metropolitan Solutions and Royal Haskoning DHV Consultancy.

Keywords

sewer design
Stochastic sewer modelling
Wastewater quality
Household discharge
Reduced water consumption

ASJC Scopus subject areas

Biochemistry
Geography, Planning and Development
Aquatic Science
Water Science and Technology

Access to Document

10.3390/w12041187Licence: CC BY

Bailey et al - Supplementary InformationLicence: CC BY

1 Finished

NextGen - Towards a next generation of water systems and services for the circular economy
Hofman, J. (PI), Adeyeye, K. (CoI), Durrant, H. (CoI), Hunt, A. (CoI) & Lanham, A. (CoI)
EU - Horizon 2020
1/07/18 → 30/11/22
Project: EU Commission

Tom Arnot
- T.C.Arnotbath.acuk
Person: Research & Teaching, Core staff, Affiliate staff
Jan Hofman
- J.A.H.Hofmanbath.acuk
Person: Research & Teaching, Core staff, Affiliate staff

Cite this

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title = "A stochastic model to predict flow, nutrient and temperature changes in a sewer under water conservation scenarios",

abstract = "Reducing water use could impact existing sewer systems but this is not currently well understood. This work describes a new flow and water quality model developed to investigate this impact. SIMDEUM WW{\textregistered} was used to generate stochastic appliance-specific discharge profiles for wastewater flow and concentration, which were fed into InfoWorks{\textregistered} ICM to quantify the impacts within the sewer network. The model was validated using measured field data from a sewer system in Amsterdam serving 418 households. Wastewater concentrations of TSS, COD, TKN, TPH were sampled on an hourly basis, for one week. The results obtained showed that the InfoWorks{\textregistered} model predicted the mass flow of pollutants well but, due to the current lack of a time-varying solids transport model within InfoWorks{\textregistered}, the prediction for wastewater concentration parameters was less good. Still, the model was deemed capable of analysing the effects of three water conservation strategies (greywater reuse, rainwater harvesting and water-saving appliances) on flow, nutrient concentrations, and temperature in sewer networks. Results show through a 62% reduction in sewer flow, COD, TKN and TPH concentrations increased by up to 111%, 84% and 75% respectively, offering more favourable conditions for nutrient recovery.",

keywords = "sewer design, Stochastic sewer modelling, Wastewater quality, Household discharge, Reduced water consumption",

author = "Olivia Bailey and Ljiljana Zlatanovic and {van der Hoek}, {J. P.} and Zoran Kapelan and Mirjam Blokker and Tom Arnot and Jan Hofman",

year = "2020",

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AU - Bailey, Olivia

AU - Zlatanovic, Ljiljana

AU - van der Hoek, J. P.

AU - Kapelan, Zoran

AU - Blokker, Mirjam

AU - Arnot, Tom

AU - Hofman, Jan

PY - 2020/4/21

Y1 - 2020/4/21

N2 - Reducing water use could impact existing sewer systems but this is not currently well understood. This work describes a new flow and water quality model developed to investigate this impact. SIMDEUM WW® was used to generate stochastic appliance-specific discharge profiles for wastewater flow and concentration, which were fed into InfoWorks® ICM to quantify the impacts within the sewer network. The model was validated using measured field data from a sewer system in Amsterdam serving 418 households. Wastewater concentrations of TSS, COD, TKN, TPH were sampled on an hourly basis, for one week. The results obtained showed that the InfoWorks® model predicted the mass flow of pollutants well but, due to the current lack of a time-varying solids transport model within InfoWorks®, the prediction for wastewater concentration parameters was less good. Still, the model was deemed capable of analysing the effects of three water conservation strategies (greywater reuse, rainwater harvesting and water-saving appliances) on flow, nutrient concentrations, and temperature in sewer networks. Results show through a 62% reduction in sewer flow, COD, TKN and TPH concentrations increased by up to 111%, 84% and 75% respectively, offering more favourable conditions for nutrient recovery.

AB - Reducing water use could impact existing sewer systems but this is not currently well understood. This work describes a new flow and water quality model developed to investigate this impact. SIMDEUM WW® was used to generate stochastic appliance-specific discharge profiles for wastewater flow and concentration, which were fed into InfoWorks® ICM to quantify the impacts within the sewer network. The model was validated using measured field data from a sewer system in Amsterdam serving 418 households. Wastewater concentrations of TSS, COD, TKN, TPH were sampled on an hourly basis, for one week. The results obtained showed that the InfoWorks® model predicted the mass flow of pollutants well but, due to the current lack of a time-varying solids transport model within InfoWorks®, the prediction for wastewater concentration parameters was less good. Still, the model was deemed capable of analysing the effects of three water conservation strategies (greywater reuse, rainwater harvesting and water-saving appliances) on flow, nutrient concentrations, and temperature in sewer networks. Results show through a 62% reduction in sewer flow, COD, TKN and TPH concentrations increased by up to 111%, 84% and 75% respectively, offering more favourable conditions for nutrient recovery.

KW - sewer design

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KW - Household discharge

KW - Reduced water consumption

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DO - 10.3390/w12041187

M3 - Article

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SN - 2073-4441

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JF - Water

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ER -

A stochastic model to predict flow, nutrient and temperature changes in a sewer under water conservation scenarios

Abstract

Funding

Keywords

ASJC Scopus subject areas

Access to Document

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Projects

NextGen - Towards a next generation of water systems and services for the circular economy

Profiles

Tom Arnot

Jan Hofman

Cite this