期刊
WATER
卷 12, 期 4, 页码 -出版社
MDPI
DOI: 10.3390/w12041187
关键词
sewer design; stochastic sewer modelling; wastewater quality; household discharge; reduced water consumption
资金
- UK Engineering and Physical Sciences Research Council [EP/L016214/1]
- CDT
- TopsectorWater & Maritime TKIWatertechnology Program of the Dutch Ministry of Economic Affairs and Climate Change [2016TUD003]
- water utility Waternet
- BrabantWater
- Limburg
- Evides
- water authority De Dommel
- Amsterdam Institute for Advanced Metropolitan Solutions
- Royal Haskoning DHV Consultancy
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 (R) was used to generate stochastic appliance-specific discharge profiles for wastewater flow and concentration, which were fed into InfoWorks (R) 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 (R) 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 (R), 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.
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