Sensor placement in municipal water networks.
Journal Article
·
· Proposed for publication in the Journal of Water Resources Planning and Management.
OSTI ID:951710
- Carnegie Mellon U, Pittsburgh, PA
We present a model for optimizing the placement of sensors in municipal water networks to detect maliciously injected contaminants. An optimal sensor configuration minimizes the expected fraction of the population at risk. We formulate this problem as a mixed-integer program, which can be solved with generally available solvers. We find optimal sensor placements for three test networks with synthetic risk and population data. Our experiments illustrate that this formulation can be solved relatively quickly and that the predicted sensor configuration is relatively insensitive to uncertainties in the data used for prediction.
- Research Organization:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 951710
- Report Number(s):
- SAND2004-5225J; TRN: US200913%%20
- Journal Information:
- Proposed for publication in the Journal of Water Resources Planning and Management., Journal Name: Proposed for publication in the Journal of Water Resources Planning and Management.
- Country of Publication:
- United States
- Language:
- English
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