TY - GEN
T1 - Leakage Calibration of Water Distribution Systems
AU - Maskit, Matan
AU - Ostfeld, Avi
N1 - Publisher Copyright: © 2014 American Society of Civil Engineers.
PY - 2014
Y1 - 2014
N2 - Water leakages in a water distribution system may vary from 5% to 55% of total supply. Hence, leakage has an important impact on the system operation, where water losses through leakage generally increase with pressure. Several studies modeled the interrelationships between leakage and pressure, where the most common connection is described as qk-leak = βk1kPkαk where P is the pressure in pipe k; 1 is the pipe length; and α, β are the leakage model coefficients. A method is proposed in this study for calibrating the leakage parameters α, β. Previous studies suggested that these parameters could be connected with the pipe age and its material rigidity. For searching the model parameters, the pipes in the network are partitioned according to their properties, and for every group of pipes, the α, β values are searched. Hydraulic parameters as well as the leakage are computed, and the results are compared with experimental data of the network. Through using a genetic algorithm (GA) and EPANET the values of α, β are modified until appropriate calibration matching is attained.
AB - Water leakages in a water distribution system may vary from 5% to 55% of total supply. Hence, leakage has an important impact on the system operation, where water losses through leakage generally increase with pressure. Several studies modeled the interrelationships between leakage and pressure, where the most common connection is described as qk-leak = βk1kPkαk where P is the pressure in pipe k; 1 is the pipe length; and α, β are the leakage model coefficients. A method is proposed in this study for calibrating the leakage parameters α, β. Previous studies suggested that these parameters could be connected with the pipe age and its material rigidity. For searching the model parameters, the pipes in the network are partitioned according to their properties, and for every group of pipes, the α, β values are searched. Hydraulic parameters as well as the leakage are computed, and the results are compared with experimental data of the network. Through using a genetic algorithm (GA) and EPANET the values of α, β are modified until appropriate calibration matching is attained.
UR - http://www.scopus.com/inward/record.url?scp=84935454105&partnerID=8YFLogxK
U2 - https://doi.org/10.1061/9780784413548.045
DO - https://doi.org/10.1061/9780784413548.045
M3 - منشور من مؤتمر
T3 - World Environmental and Water Resources Congress 2014: Water Without Borders - Proceedings of the 2014 World Environmental and Water Resources Congress
SP - 417
EP - 425
BT - World Environmental and Water Resources Congress 2014
A2 - Huber, Wayne C.
T2 - World Environmental and Water Resources Congress 2014: Water Without Borders
Y2 - 1 June 2014 through 5 June 2014
ER -