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Estimating inflow to a combined sewer overflow structure with storage tank in real time: Evaluation of different approaches
Unit of Environmental Engineering, Institute for Infrastructure Engineering, University of Innsbruck.ORCID iD: 0000-0003-0367-3449
Department of Civil, Environmental and Land Engineering and Architecture, University of Parma.
Unit of Environmental Engineering, Institute for Infrastructure Engineering, University of Innsbruck.
Unit of Environmental Engineering, Institute for Infrastructure Engineering, University of Innsbruck.
2014 (English)In: Water Science and Technology, ISSN 0273-1223, E-ISSN 1996-9732, Vol. 70, no 7, p. 1143-1151Article in journal (Refereed) Published
Abstract [en]

The performance assessment of storage tanks and combined sewer overflow (CSO) structures in sewer systems requires knowledge of the total inflow from the catchment during rainfall events. Many structures are, however, only equipped with sensors to measure water level and/or outflows. Based on the geometry of the tank, expressed as a level-storage relationship, inflow can be calculated from these data using a simple conceptual storage model. This paper compares a deterministic and a Bayesian approach for estimating the inflow to a CSO structure from measurements of outflows and water level. The Bayesian approach clearly outperforms the deterministic estimation which is very sensitive to measurement errors. Although computationally more demanding, the use of a simple linear storage model allows the online application of the Bayesian approach to repeatedly estimate inflow in short time intervals of a few minutes. The method could thus be used as an online software sensor for inflow to storage structures in sewer systems.

Place, publisher, year, edition, pages
2014. Vol. 70, no 7, p. 1143-1151
Keywords [en]
Bayesian geostatistical approach, BgaPEST, Combined sewer overflow, Reverse level pool routing, Storage structure
National Category
Water Engineering
Research subject
Urban Water Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-7554DOI: 10.2166/wst.2014.331Scopus ID: 2-s2.0-84908613076Local ID: 5f104675-f1b6-40dd-8f38-6994a1099711OAI: oai:DiVA.org:ltu-7554DiVA, id: diva2:980444
Note

Upprättat; 2014; 20160401 (gunleo)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2019-04-30Bibliographically approved

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Leonhardt, G.

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CiteExportLink to record
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  • apa
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  • de-DE
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  • nn-NB
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