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Uncertainty Quantification in Water Distribution Parameter Estimation

by Jose Araujo, Oklahoma State Univ, Stillwater, United States,
Kevin Lansey, Oklahoma State Univ, Stillwater, United States,



Document Type: Proceeding Paper

Part of: Hydraulic Engineering

Abstract:

Calibration for water distribution system model parameters is usually undertaken with a minimal amount of field measurements so additional pseudomeasurements are assumed. Both the actual field data and pseudo-measurements may have some error associated with them which can cause improper estimates. Several approaches have been reported for parameter identification. Few authors, however, considered errors associated with data and parameters. A methodology for quantifying uncertainties in estimated parameters of a distribution network which considers errors in the measurement data is presented in this paper.

Subject Headings: Water supply systems | Parameters (statistics) | Uncertainty principles | Errors (statistics) | Data analysis | Calibration | Probability distribution

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