Abstract
This study examines the influence of the quality of hydraulic model calibration on the accuracy of model-based leak localization. It is based on a real-world case study where pressures were measured at 12 positions for more than 4 months. Fire flow tests were performed to obtain calibration data—artificially generated leaks with different sizes between 0.25 l/s to 1 l/s at 4 different positions served as dataset for model-based leak localization. Three different calibration approaches were applied on an uncalibrated model generated from GIS data: (i) height adjustments of measurement positions through detailed analysis of long term pressure signals in the leak-free system; as well as (ii) manual trial and error calibration; and (iii) automatic calibration with fire flow test data. The height-adjusted model lead to increased leak localization accuracy compared to the uncalibrated GIS model. However, the most significant improvement was achieved through fire flow test based calibration—revealing a partially closed valve in the system. The auto-calibrated model, which simultaneously calibrated roughness and minor loss coefficients, provided the highest leak localization accuracy.
Original language | English |
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Title of host publication | World Environmental and Water Resources Congress 2019 |
Subtitle of host publication | Hydraulics, Waterways, and Water Distribution Systems Analysis - Selected Papers from the World Environmental and Water Resources Congress 2019 |
Editors | Gregory F. Scott, William Hamilton |
Publisher | American Society of Civil Engineers (ASCE) |
Pages | 520-527 |
Number of pages | 8 |
ISBN (Electronic) | 9780784482353 |
Publication status | Published - 2019 |
Event | 19th World Environmental and Water Resources Congress 2019: Hydraulics, Waterways, and Water Distribution Systems Analysis - Pittsburgh, United States Duration: 19 May 2019 → 23 May 2019 |
Conference
Conference | 19th World Environmental and Water Resources Congress 2019: Hydraulics, Waterways, and Water Distribution Systems Analysis |
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Country | United States |
City | Pittsburgh |
Period | 19/05/19 → 23/05/19 |