Using TEVA to Assess Impact of Model Skeletonization on Contaminant Consequence Assessment and Sensor Placement Design

Janke, Robert; Murray, Regan; Uber, James G.; Bahadur, Rakesh; Taxon, Tom; Samuels, William B.

doi:10.1061/40927(243)527

Cited by 12 publications

(14 citation statements)

References 6 publications

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“…The models for four systems (2, 3, 6, and 10) are considered to be “all‐pipe” models because of the detail provided for each service connection. Skeletonization can influence estimated impacts …”

Section: Applicationsmentioning

confidence: 99%

A Framework for Estimating the Adverse Health Effects of Contamination Events in Water Distribution Systems and its Application

2013

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Intentional or accidental releases of contaminants into a water distribution system (WDS) have the potential to cause significant adverse health effects among individuals consuming water from the system. A flexible analysis framework is presented here for estimating the magnitude of such potential effects and is applied using network models for 12 actual WDSs of varying sizes. Upper bounds are developed for the magnitude of adverse effects of contamination events in WDSs and evaluated using results from the 12 systems. These bounds can be applied in cases in which little system-specific information is available. The combination of a detailed, network-specific approach and a bounding approach allows consequence assessments to be performed for systems for which varying amounts of information are available and addresses important needs of individual utilities as well as regional or national assessments. The approach used in the analysis framework allows contaminant injections at any or all network nodes and uses models that (1) account for contaminant transport in the systems, including contaminant decay, and (2) provide estimates of ingested contaminant doses for the exposed population. The approach can be easily modified as better transport or exposure models become available. The methods presented here provide the ability to quantify or bound potential adverse effects of contamination events for a wide variety of possible contaminants and WDSs, including systems without a network model.

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Section: Applicationsmentioning

confidence: 99%

A Framework for Estimating the Adverse Health Effects of Contamination Events in Water Distribution Systems and its Application

2013

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“…If possible, models should be calibrated with field data. Because network skeletonization may significantly affect results, greater detail is preferable (Janke et al, 2006). Extended‐period simulations are required for this analysis.…”

Section: The Modeling Processmentioning

confidence: 99%

“…Contaminants behave differently in water distribution systems; some can be modeled as a tracer whereas others require more sophisticated models to reflect reaction with residual disinfectants, attachment to biofilms, or adsorption to pipe walls (Shang et al, 2008). Human health effects are also contaminant‐specific and require assumptions about human consumption patterns, estimations of the spatial and temporal distribution of the people that have been exposed, calculations of the number of people that become ill according to contaminant‐specific dose–response curves, and predictions of the time evolution of health effects (Murray et al, 2006).…”

Section: The Modeling Processmentioning

confidence: 99%

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Sensor network design of contammination warning systems: A decision framework

Murray¹,

Janke²,

Hart³

et al. 2008

Journal AWWA

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Contamination warning systems have been proposed as a promising approach for detecting contaminants in drinking water systems early enough to allow for the effective reduction of public health or economic consequences. A variety of modeling and optimization tools has been developed to support the design of utility‐specific contamination warning systems. However, warning system design is not a straightforward application of a software tool; it requires a series of significant decisions about the warning system—s intended nature, purpose, and use. In this article, the authors describe a decision framework that uses the threat ensemble vulnerability assessment and sensor placement optimization tool (TEVA‐SPOT) to determine sensor placement. The framework allows for the development of multiple sensor network designs that can be compared and evaluated against a standard set of criteria. TEVA‐SPOT and the decision framework have been applied to several large water systems; one of those utility examples is included here.

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“…The underlying assumption is that those portions of the network that are not modeled are accounted for within the parts of the system that are represented by the model. [13] The water distribution application has also been applied to drinking water studies of large buildings and large venues. [14] Wastewater collection: The US wastewater infrastructure is one of America's most valuable assets, valued at more than $2 trillion.…”

Section: Introductionmentioning

confidence: 99%

The Integration of Network-Based Models for Spill Response and Homeland Security

Amstutz¹,

Bahadur²,

Pickus³

et al. 2008

American J. of Environmental Sciences

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The integration of three hydraulic GIS (Geographic Information System) applications is presented which represent the water infrastructures of cities and urban areas and US streams and rivers. The water infrastructures include drinking water distribution systems, wastewater collection systems and source water. The National Research Council^[1]states that problems dealing with the collective behavior of networks such as river systems, water distribution systems and waste water collection systems are complex because they include feedback loops, produce counter-intuitive behaviors and exhibit behaviors that cannot be predicted from the attributes of individual components. A complex system includes all of the above individual components, yet also exhibits emergent collective behavior caused by the interactions among its features. The integration of these applications have been developed for use in planning, response, training and development of monitoring strategies to address potential deliberate or accidental toxic contamination events

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Using TEVA to Assess Impact of Model Skeletonization on Contaminant Consequence Assessment and Sensor Placement Design

Cited by 12 publications

References 6 publications

A Framework for Estimating the Adverse Health Effects of Contamination Events in Water Distribution Systems and its Application

A Framework for Estimating the Adverse Health Effects of Contamination Events in Water Distribution Systems and its Application

Sensor network design of contammination warning systems: A decision framework

The Integration of Network-Based Models for Spill Response and Homeland Security

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