TY - GEN
T1 - The optimal leakage detection model for water distribution systems considering uncertainties in roughness coefficient
AU - Yoon, Jung Soo
AU - Yoo, Do Guen
AU - Kang, Doo Sun
AU - Kim, Joong Hoon
PY - 2012
Y1 - 2012
N2 - More active leakage management is required to take discharge ratio into consideration, regarding its significance in water distribution system operation and management. This study suggests the new leakage detection model, which makes use of the uncertainties in roughness coefficient and optimization methods. This study employs the Semi-Pressure Driven Analysis (Semi-PDA), which enables realistic leakage modelling without the Head Outflow Relationship, (HOR), of which uncertainties are large in conventional hydraulic analysis of the water distribution system. The Beta decrease function and the Latin Hyper Sampling (LHS) are also used to analyse the uncertainties in roughness coefficient. This study develops the Semi-PDA model, employing the Emitter function of the EPANET2, water distribution system analysis program, and locates the leakage by optimizing the Emitter coefficient. The suggested model is proved to be efficient in detecting the location of the leakage, according to the analysis of example network.
AB - More active leakage management is required to take discharge ratio into consideration, regarding its significance in water distribution system operation and management. This study suggests the new leakage detection model, which makes use of the uncertainties in roughness coefficient and optimization methods. This study employs the Semi-Pressure Driven Analysis (Semi-PDA), which enables realistic leakage modelling without the Head Outflow Relationship, (HOR), of which uncertainties are large in conventional hydraulic analysis of the water distribution system. The Beta decrease function and the Latin Hyper Sampling (LHS) are also used to analyse the uncertainties in roughness coefficient. This study develops the Semi-PDA model, employing the Emitter function of the EPANET2, water distribution system analysis program, and locates the leakage by optimizing the Emitter coefficient. The suggested model is proved to be efficient in detecting the location of the leakage, according to the analysis of example network.
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M3 - Conference contribution
AN - SCOPUS:84883097895
SN - 9781627481328
T3 - 14th Water Distribution Systems Analysis Conference 2012, WDSA 2012
SP - 1316
EP - 1323
BT - 14th Water Distribution Systems Analysis Conference 2012, WDSA 2012
T2 - 14th Water Distribution Systems Analysis Conference 2012, WDSA 2012
Y2 - 24 September 2012 through 27 September 2012
ER -