| Download | - View accepted manuscript: Investigating evidential reasoning for the interpretation of microbial water quality in a distribution network (PDF, 665 KiB)
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| DOI | Resolve DOI: https://doi.org/10.1007/s00477-006-0044-7 |
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| Author | Search for: Sadiq, R.1; Search for: Najjaran, H.1; Search for: Kleiner, Y.1 |
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| Affiliation | - National Research Council of Canada. NRC Institute for Research in Construction
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| Format | Text, Article |
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| Subject | microbial water quality, data fusion, probabilistic reasoning, rules of combination; Water quality |
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| Abstract | Total coliforms are used as indicators for evaluating microbial water quality in distribution network. However, total coliform provides only a weak 'evidence' of possible fecal contamination because pathogens are subset of total coliform and therefore their presence in drinking water do not necessarily mean fecal contamination. Heterotrophic plate counts, covers even a wider range of organisms and are also used commonly to evaluate microbial water quality in the distribution network. Both of these indicators provide incomplete and highly uncertain evidences individually, but the combination of evidence using data fusion may provide improved insight for interpreting microbial water quality in distribution network. The term data fusion refers to the synergistic aggregation of observations and measurements. Different attributes and inputs (e.g. various water quality indicators) can provide information on various aspects of a system or process by complementing each other. Complementary information and redundant data sets form the basis of data fusion applications in water quality monitoring and for condition assessment of infrastructure systems. |
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| Publication date | 2006-11-01 |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NRC number | NRCC 48316
NRC-IRC-17664 |
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| NPARC number | 20377242 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | b45bf7bf-be84-4007-a3cf-0d9f65c0f180 |
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| Record created | 2012-07-24 |
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| Record modified | 2020-04-22 |
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