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Robust model for estimating pumping station characteristics and sewer flows from standard pumping station data
M. Fencl, M. Grum, M. Borup, PS. Mikkelsen,
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články
NLK
ProQuest Central
od 1982-01-01 do Před 1 rokem
Health & Medicine (ProQuest)
od 1982-01-01 do Před 1 rokem
PubMed
31241479
DOI
10.2166/wst.2019.176
Knihovny.cz E-zdroje
- MeSH
- odpad tekutý - odstraňování statistika a číselné údaje MeSH
- odpadní vody * MeSH
- statistické modely * MeSH
- voda MeSH
- Publikační typ
- časopisecké články MeSH
Flow data represent crucial input for reliable diagnostics of sewer functions and identification of potential problems such as unwanted inflow and infiltration. Flow estimates from pumping stations, which are an integral part of most separate sewer systems, might help in this regard. A robust model and an associated optimization procedure is proposed for estimating inflow to a pumping station using only registered water levels in the pump sump and power consumption. The model was successfully tested on one month of data from a single upstream station. The model is suitable for identification of pump capacity and volume thresholds for switching the pump on and off. These are parameters which are required for flow estimation during periods with high inflows or during periods with flow conditions triggering pump switching on and off at frequencies close to the temporal resolution of monitored data. The model is, however, sensitive within the transition states between emptying and filling to observation errors in volume and on inflow/outflow variability.
Citace poskytuje Crossref.org
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- $a Fencl, Martin $u Department of Environmental Engineering (DTU Environment), Urban Water Systems Section, Technical University of Denmark, 2800 Kgs., Lyngby, Denmark E-mail: martin.fencl@cvut.cz; Department of Hydraulics and Hydrology, Czech Technical University in Prague, 166 29 Prague 6, Czech Republic.
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- $a Flow data represent crucial input for reliable diagnostics of sewer functions and identification of potential problems such as unwanted inflow and infiltration. Flow estimates from pumping stations, which are an integral part of most separate sewer systems, might help in this regard. A robust model and an associated optimization procedure is proposed for estimating inflow to a pumping station using only registered water levels in the pump sump and power consumption. The model was successfully tested on one month of data from a single upstream station. The model is suitable for identification of pump capacity and volume thresholds for switching the pump on and off. These are parameters which are required for flow estimation during periods with high inflows or during periods with flow conditions triggering pump switching on and off at frequencies close to the temporal resolution of monitored data. The model is, however, sensitive within the transition states between emptying and filling to observation errors in volume and on inflow/outflow variability.
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