- Library Home /
- Search Collections /
- Open Collections /
- Browse Collections /
- UBC Theses and Dissertations /
- Contaminant intrusion in water distribution systems...
Open Collections
UBC Theses and Dissertations
UBC Theses and Dissertations
Contaminant intrusion in water distribution systems : advanced modelling approaches Mansour Rezaei Fumani, Saheb
Abstract
Since exposure to contaminants may have direct adverse impacts on public health, contaminant intrusion has been recognized as one of the top priority in drinking water supply research. Three components must exist to cause contaminant intrusion into a water distribution system. These include the availability of source(s) of contaminant(s) around a water distribution system, the existence of driving forces (low/negative pressure) to make a contaminant enter into a water distribution system, and the presence of pathway(s) through which contaminant(s) intrude into a water distribution system (WDS). Exposure assessment is the most challenging part as location of contaminant intrusion, rate of intrusion, and the fate of contaminants within WDS need to be estimated accurately. In this dissertation, first, common uncertainty analysis techniques are discussed in the context of conservativeness, execution time, ease of formulation, and complexity. Second, a fuzzyrule based model has been developed to identify contaminant intrusion potential in a WDS. The potential of contaminant intrusion has been determined by integrating the potentials for contaminant sources existence, driving forces, and pathways. Third, a novel ingress model has been developed for more realistic estimation of intrusion rate by taking into account the effects of surrounding soil on intrusion rate. Coupled with an Eulerian-based transient hydraulic model, a Lagrangian transient water quality model is developed to predict the fate of the contaminant throughout a WDS. The proposed models are applied to case studies available in the literature to investigate the applicability of the models. The proposed models enhance the reliability and safety of WDSs by improving the prediction ability of the existing modelling tools.
Item Metadata
Title |
Contaminant intrusion in water distribution systems : advanced modelling approaches
|
Creator | |
Publisher |
University of British Columbia
|
Date Issued |
2013
|
Description |
Since exposure to contaminants may have direct adverse impacts on public health,
contaminant intrusion has been recognized as one of the top priority in drinking water supply
research. Three components must exist to cause contaminant intrusion into a water
distribution system. These include the availability of source(s) of contaminant(s) around a
water distribution system, the existence of driving forces (low/negative pressure) to make a
contaminant enter into a water distribution system, and the presence of pathway(s) through
which contaminant(s) intrude into a water distribution system (WDS). Exposure assessment
is the most challenging part as location of contaminant intrusion, rate of intrusion, and the
fate of contaminants within WDS need to be estimated accurately.
In this dissertation, first, common uncertainty analysis techniques are discussed in the context
of conservativeness, execution time, ease of formulation, and complexity. Second, a fuzzyrule
based model has been developed to identify contaminant intrusion potential in a WDS.
The potential of contaminant intrusion has been determined by integrating the potentials for
contaminant sources existence, driving forces, and pathways. Third, a novel ingress model
has been developed for more realistic estimation of intrusion rate by taking into account the
effects of surrounding soil on intrusion rate. Coupled with an Eulerian-based transient
hydraulic model, a Lagrangian transient water quality model is developed to predict the fate
of the contaminant throughout a WDS. The proposed models are applied to case studies
available in the literature to investigate the applicability of the models. The proposed models
enhance the reliability and safety of WDSs by improving the prediction ability of the existing
modelling tools.
|
Genre | |
Type | |
Language |
eng
|
Date Available |
2013-03-20
|
Provider |
Vancouver : University of British Columbia Library
|
Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
|
DOI |
10.14288/1.0073626
|
URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
|
Graduation Date |
2013-05
|
Campus | |
Scholarly Level |
Graduate
|
Rights URI | |
Aggregated Source Repository |
DSpace
|
Item Media
Loading media...
Item Citations and Data
Permanent URL (DOI):
Copied to clipboard.Rights
Attribution-NonCommercial-NoDerivatives 4.0 International