Document Type


Publication Date



The availability of a good hydraulic model increases the reliability of the results of methodologies using it. Thus the calibration of the model is a previous step that has to be done. The most uncertain parameters of the model are demands due to their constant variability. However, calibrating these demands requires a high computational cost that can be reduced by redefining the unknown parameters from demands to demand patterns. Besides, the number and location of the used sensors is highly correlated with the definition of such patterns. This paper presents a methodology for parameterizing and selecting sensors using the information from the singular value decomposition of the water distribution network sensitivity matrix.


Session R50, Water Distribution Networks: Demand Forecasting



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.