Quantification and Relative Comparison of Different Types of Uncertainties in Sewer Water Quality Modeling
Different quantifiable uncertainty sources in sewer water quality modeling and their contribution to the total model output uncertainty are, compared. The sewer and storage sedimentation tank (SST) overflow water quality measurements are more limited. The error distributions for the sewer and SST wa...
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| Published in | Water research (Oxford) Vol. 42; no. 3; p. 3539 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
01.02.2008
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| Online Access | Get full text |
| ISSN | 0043-1354 |
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| Summary: | Different quantifiable uncertainty sources in sewer water quality modeling and their contribution to the total model output uncertainty are, compared. The sewer and storage sedimentation tank (SST) overflow water quality measurements are more limited. The error distributions for the sewer and SST water quality submodels consequently may be subject to important uncertainties. The relative uncertainty contributions, quantified are interpreted in terms of orders of magnitudes. Although the results strongly depend on the water quality variable considered, it is in most general terms concluded that the uncertainty contribution by the water quality submodels is an order of magnitude higher than that for the flow submodels. |
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| Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 content type line 23 ObjectType-Feature-1 |
| ISSN: | 0043-1354 |