Investigating evidential reasoning for the interpretation of microbial water quality in a distribution network

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DOIResolve DOI: http://doi.org/10.1007/s00477-006-0044-7
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TypeArticle
Journal titleStochastic Environmental Research and Risk Assessment
Volume21
IssueNovember 1
Pages6373; # of pages: 11
Subjectmicrobial water quality, data fusion, probabilistic reasoning, rules of combination; Water quality
AbstractTotal 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.
Publication date
LanguageEnglish
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number48316
17664
NPARC number20377242
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Record identifierb45bf7bf-be84-4007-a3cf-0d9f65c0f180
Record created2012-07-24
Record modified2016-05-09
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