Modeling Stochastic Load Variations in Sewer Systems

Ort, C., Schaffner, C., Giger, W. and Gujer, W. (2005) Modeling Stochastic Load Variations in Sewer Systems. Water Science And Technology, 52 5: 113-122.

Author Ort, C.
Schaffner, C.
Giger, W.
Gujer, W.
Title Modeling Stochastic Load Variations in Sewer Systems
Journal name Water Science And Technology   Check publisher's open access policy
ISSN 0273-1223
Publication date 2005
Year available 2005
Sub-type Article (original research)
Volume 52
Issue 5
Start page 113
End page 122
Total pages 10
Place of publication London, United Kingdom
Publisher IWA Publishing
Collection year 2005
Language eng
Abstract n wastewater treatment and environmental risk assessments increasing attention is paid to the fate of micropollutants. These are time-consuming, expensive and difficult to detect and quantify. If a substance's load or concentration is subject to high dynamic fluctuations, it is demanding to take representative samples, especially when the "variation" is unknown. Therefore, we developed a concept to model stochastic load variations in sewer systems. We gathered readily available information from existing databases (population and consumption data) and combined it with the characteristics of household activities and appliances. We succeeded in predicting realistic short-term variations of benzotriazole (contained in dishwasher detergents) and validated them with a high-frequency measuring campaign. Benzotriazole stands as an example for other household chemicals, which cannot be measured so easily. All required information used within this case study is also available for other substances and catchments. This allows the forecast of stochastic load variations for many chemical compounds of interest. It helps to plan measuring campaigns, to estimate discharged loads from combined sewer overflows and to have a characteristic input for modeling purposes.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
Advanced Water Management Centre Publications
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Citation counts: TR Web of Science Citation Count  Cited 38 times in Thomson Reuters Web of Science Article | Citations
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Created: Mon, 19 Jan 2009, 09:30:05 EST by Maryanne Watson on behalf of Faculty Of Engineering, Architecture & Info Tech