Search: WFRF:(Mark U.)
> (1995-1999) >
Prediction of locat...
Prediction of locations with sediment deposits in sewers
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Mark, O. (author)
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Cerar, U. (author)
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- Perrusquía, Gustavo, 1954 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- IWA Publishing, 1996
- 1996
- English.
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In: Water Science and Technology. - : IWA Publishing. - 0273-1223. ; 33:9, s. 147-154
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Abstract
Subject headings
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- The present paper presents an application of MOUSE ST, a general deterministic sediment transport model for sewer systems. MOUSE ST is used to predict the locations subjected to sedimentation in the sewer system of Ljubljana, Slovenia. The prediction is made by means of a sediment transport model with a movable bed. This model is run in parallel with the hydrodynamic MOUSE model. The results, in terms of locations with sediment deposits, are compared with field data from the sewer system in Ljubljana. Further, the model is used to predict the effect of the removal of the sediment deposits on the combined sewer overflows. The present paper presents an application of MOUSE ST, a general deterministic sediment transport model for sewer systems. MOUSE ST is used to predict the locations subjected to sedimentation in the sewer system of Ljubljana, Slovenia. The prediction is made by means of a sediment transport model with a movable bed. This model is run in parallel with the hydrodynamic MOUSE model. The results, in terms of locations with sediment deposits, are compared with field data from the sewer system in Ljubljana. Further, the model is used to predict the effect of the removal of the sediment deposits on the combined sewer overflows.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering (hsv//eng)
Keyword
- Transport
- Hydraulic capacity
- Storm sewers
- MOUSE ST
- Sediment deposits
- Deposition
- Sewer
- Sediment
- Combined sewer overflow
- Mathematical model
Publication and Content Type
- art (subject category)
- ref (subject category)
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