Standard

A Stochastic Model to Predict Flow, Nutrient and Temperature Changes in a Sewer under Water Conservation Scenarios. / Bailey, Olivia; Zlatanović, Ljiljana; van der Hoek, Jan Peter; Kapelan, Zoran; Blokker, Mirjam; Arnot, Tom; Hofman, Jan.

In: Water, Vol. 12, No. 4, 1187, 2020, p. 1-20.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

APA

Vancouver

Author

BibTeX

@article{90baaac519c84c2bb470eb74a6ad290a,
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 wastewater 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 total suspended solids (TSS), chemical oxygen demand (COD), total Kjeldahl nitrogen (TKN) and total phosphorus (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 (R-values 0.69, 0.72 and 0.75 for COD, TKN and TPH respectively) but, due to the current lack of a time-varying solids transport model within InfoWorks{\textregistered}, the prediction for wastewater concentration parameters was less reliable. 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 = "Household discharge, Reduced water consumption, Sewer design, Stochastic sewer modelling, Wastewater quality",
author = "Olivia Bailey and Ljiljana Zlatanovi{\'c} and {van der Hoek}, {Jan Peter} and Zoran Kapelan and Mirjam Blokker and Tom Arnot and Jan Hofman",
year = "2020",
doi = "10.3390/w12041187",
language = "English",
volume = "12",
pages = "1--20",
journal = "Water",
issn = "2073-4441",
publisher = "MDPI",
number = "4",

}

RIS

TY - JOUR

T1 - A Stochastic Model to Predict Flow, Nutrient and Temperature Changes in a Sewer under Water Conservation Scenarios

AU - Bailey, Olivia

AU - Zlatanović, Ljiljana

AU - van der Hoek, Jan Peter

AU - Kapelan, Zoran

AU - Blokker, Mirjam

AU - Arnot, Tom

AU - Hofman, Jan

PY - 2020

Y1 - 2020

N2 - Reducing water use could impact existing sewer systems but this is not currently well understood. This work describes a new flow and wastewater 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 total suspended solids (TSS), chemical oxygen demand (COD), total Kjeldahl nitrogen (TKN) and total phosphorus (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 (R-values 0.69, 0.72 and 0.75 for COD, TKN and TPH respectively) but, due to the current lack of a time-varying solids transport model within InfoWorks®, the prediction for wastewater concentration parameters was less reliable. 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 wastewater 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 total suspended solids (TSS), chemical oxygen demand (COD), total Kjeldahl nitrogen (TKN) and total phosphorus (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 (R-values 0.69, 0.72 and 0.75 for COD, TKN and TPH respectively) but, due to the current lack of a time-varying solids transport model within InfoWorks®, the prediction for wastewater concentration parameters was less reliable. 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 - Household discharge

KW - Reduced water consumption

KW - Sewer design

KW - Stochastic sewer modelling

KW - Wastewater quality

UR - http://www.scopus.com/inward/record.url?scp=85085129262&partnerID=8YFLogxK

U2 - 10.3390/w12041187

DO - 10.3390/w12041187

M3 - Article

VL - 12

SP - 1

EP - 20

JO - Water

JF - Water

SN - 2073-4441

IS - 4

M1 - 1187

ER -

ID: 72291958