Estimating risk of contaminant intrusion in water distribution networks using Dempster–Shafer theory of evidence
Authors:
- 1 September 2006
- journal article
- research article
- Published by Taylor & Francis in Civil Engineering and Environmental Systems
- Vol. 23 (3) , 129-141
Abstract
Intrusion of contaminants into water distribution networks requires the simultaneous presence of three elements: contamination source, pathway and driving force. The existence of each of these elements provides ‘partial’ evidence (typically incomplete and non-specific) to the occurrence of contaminant intrusion into distribution networks. Evidential reasoning, also called Dempster–Shafer theory, has proved useful to incorporate both aleatory and epistemic uncertainties in the inference mechanism. The application of evidential reasoning to assess risk of contaminant intrusion is demonstrated with the help of an example of a single pipe. The proposed approach can be extended to full-scale water distribution networks to establish risk-contours of contaminant intrusion. Risk-contours using GIS may help utilities to identify sensitive locations in the water distribution network and prioritize control and preventive strategies.Keywords
This publication has 20 references indexed in Scilit:
- A novel technique of object ranking and classification under ignorance: An application to the corporate failure risk problemEuropean Journal of Operational Research, 2005
- Potential for pathogen intrusion during pressure transientsJournal AWWA, 2003
- Assessing Intrusion Susceptibility in Distribution SystemsJournal AWWA, 2002
- Use of Belief Function in Brownfield Infrastructure Redevelopment Decision MakingJournal of Urban Planning and Development, 2001
- Modeling vague beliefs using fuzzy-valued belief structuresFuzzy Sets and Systems, 2000
- Slope Instability Zonation: a Comparison Between Certainty Factor and Fuzzy Dempster–Shafer ApproachesNatural Hazards, 1998
- Soft computing: the convergence of emerging reasoning technologiesSoft Computing, 1997
- Principles of uncertainty: What are they? Why do we need them?Fuzzy Sets and Systems, 1995
- Application of Dempster‐Shafer Theory for Interpretation of Seismic ParametersJournal of Structural Engineering, 1988
- Upper and Lower Probabilities Induced by a Multivalued MappingThe Annals of Mathematical Statistics, 1967