Abstract
Population growth and climate change place a strain on water resources; hence, there are growing initiatives to reduce household water use. UKWIR (2016) have a stated aim to halve water abstraction by 2050. This will significantly reduce inflow to sewer systems and increase wastewater concentration. This work presents a new stochastic sewer model that can be used to predict both hydraulic and pollutant loading for various water saving scenarios. The stochastic sewer model is based on integration of the stochastic water demand model SIMDEUM® with the InfoWorks ICM® (Sewer Edition) hydraulic model and software. This model has been developed using foul sewer networks, i.e. where household discharges are the dominant inflow; however, it could also be used in combined sewage systems where rainwater flows would add to the stochastic dry weather flow (DWF). The stochastic sewer model was tested and validated on several real catchments in the Wessex Water area of the UK. Calibration was carried out using metered consumption data. The stochastic sewer model gives an accurate prediction of the diurnal patterns of sewage discharge at a household level and was validated using real flow measurements within the catchment. The results obtained indicate that this model can be used to accurately predict changes in flow due to water conservation. A preliminary study for the impact of low water use on this validated network model has been conducted and it was found that overnight and daytime flow was reduced by up to 80% whereas evening flows remained largely similar. Extended stagnation times were observed in the street scale pipes (150 mm) in the low water use scenario.
| Language | English |
|---|---|
| Pages | 908-917 |
| Number of pages | 10 |
| Journal | Journal of Hydrology |
| Volume | 573 |
| Early online date | 4 Apr 2019 |
| DOIs | |
| Status | Published - 1 Jun 2019 |
Keywords
- Household discharge
- Reduced water consumption
- Sewer design
- Stochastic sewer modelling
- Wastewater quality
- Water conservation
ASJC Scopus subject areas
- Water Science and Technology
Cite this
Developing a stochastic sewer model to support sewer design under water conservation measures. / Bailey, Olivia; Arnot, Thomas; Blokker, Miriam; Kapelan, Zoran; Vreeburg, Jan; Hofman, Johannes.
In: Journal of Hydrology, Vol. 573, 01.06.2019, p. 908-917.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Developing a stochastic sewer model to support sewer design under water conservation measures
AU - Bailey, Olivia
AU - Arnot, Thomas
AU - Blokker, Miriam
AU - Kapelan, Zoran
AU - Vreeburg, Jan
AU - Hofman, Johannes
PY - 2019/6/1
Y1 - 2019/6/1
N2 - Population growth and climate change place a strain on water resources; hence, there are growing initiatives to reduce household water use. UKWIR (2016) have a stated aim to halve water abstraction by 2050. This will significantly reduce inflow to sewer systems and increase wastewater concentration. This work presents a new stochastic sewer model that can be used to predict both hydraulic and pollutant loading for various water saving scenarios. The stochastic sewer model is based on integration of the stochastic water demand model SIMDEUM® with the InfoWorks ICM® (Sewer Edition) hydraulic model and software. This model has been developed using foul sewer networks, i.e. where household discharges are the dominant inflow; however, it could also be used in combined sewage systems where rainwater flows would add to the stochastic dry weather flow (DWF). The stochastic sewer model was tested and validated on several real catchments in the Wessex Water area of the UK. Calibration was carried out using metered consumption data. The stochastic sewer model gives an accurate prediction of the diurnal patterns of sewage discharge at a household level and was validated using real flow measurements within the catchment. The results obtained indicate that this model can be used to accurately predict changes in flow due to water conservation. A preliminary study for the impact of low water use on this validated network model has been conducted and it was found that overnight and daytime flow was reduced by up to 80% whereas evening flows remained largely similar. Extended stagnation times were observed in the street scale pipes (150 mm) in the low water use scenario.
AB - Population growth and climate change place a strain on water resources; hence, there are growing initiatives to reduce household water use. UKWIR (2016) have a stated aim to halve water abstraction by 2050. This will significantly reduce inflow to sewer systems and increase wastewater concentration. This work presents a new stochastic sewer model that can be used to predict both hydraulic and pollutant loading for various water saving scenarios. The stochastic sewer model is based on integration of the stochastic water demand model SIMDEUM® with the InfoWorks ICM® (Sewer Edition) hydraulic model and software. This model has been developed using foul sewer networks, i.e. where household discharges are the dominant inflow; however, it could also be used in combined sewage systems where rainwater flows would add to the stochastic dry weather flow (DWF). The stochastic sewer model was tested and validated on several real catchments in the Wessex Water area of the UK. Calibration was carried out using metered consumption data. The stochastic sewer model gives an accurate prediction of the diurnal patterns of sewage discharge at a household level and was validated using real flow measurements within the catchment. The results obtained indicate that this model can be used to accurately predict changes in flow due to water conservation. A preliminary study for the impact of low water use on this validated network model has been conducted and it was found that overnight and daytime flow was reduced by up to 80% whereas evening flows remained largely similar. Extended stagnation times were observed in the street scale pipes (150 mm) in the low water use scenario.
KW - Household discharge
KW - Reduced water consumption
KW - Sewer design
KW - Stochastic sewer modelling
KW - Wastewater quality
KW - Water conservation
UR - http://www.scopus.com/inward/record.url?scp=85064256019&partnerID=8YFLogxK
U2 - 10.1016/j.jhydrol.2019.04.013
DO - 10.1016/j.jhydrol.2019.04.013
M3 - Article
VL - 573
SP - 908
EP - 917
JO - Journal of Hydrology
T2 - Journal of Hydrology
JF - Journal of Hydrology
SN - 0022-1694
ER -