Adjoint-Based Probabilistic Characterization of Contaminant Sources in Water Distribution Systems under Transient Flow Conditions
by R. M. Neupauer, (Department of Civil, Environmental, and Architectural Engineering, University of Colorado, UCB 428, Boulder, CO 80309 USA E-mail: neupauer@colorado.edu), M. K. Records, (Department of Civil, Environmental, and Architectural Engineering, University of Colorado, UCB 428, Boulder, CO 80309 USA E-mail: michael.records@colorado.edu), and C. J. Cichowitz, (Department of Applied Mathematics, University of Colorado, UCB 526, Boulder, CO 80309 USA E-mail: cody.cichowitz@colorado.edu)
Section: Water, Wastewater, and Stormwater Council, pp. 4314-4322, (doi: http://dx.doi.org/10.1061/41114(371)438)
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| Document type: |
Conference Proceeding Paper |
| Part of: |
World Environmental and Water Resources Congress 2010: Challenges of Change |
| Abstract: |
If a chemical or biological agent is released into a water distribution system, sensors that are installed in the pipe network may detect the contamination as it travels through the system. We developed an adjoint-based backward modeling approach that uses the collected sensor data to characterize the source of contamination in a probabilistic manner. In prior work, we used a travel time probability density function (PDF) conditioned on the sensor measurements to identify the time of release and node of release for an instantaneous source of contamination in a system with steady demands. In this work, we generalize the approach to characterize sources of contamination that occur over a finite duration under transient flow conditions. We demonstrate the method using a hypothetical water distribution system and a hypothetical release scenario. |
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