To effectively control the urban pipeline leakage

the study combines minimum night flow with pressure-driven leakage hydraulic model to calculate the leakage coefficient of network nodes and establish an enhanced hydraulic model considering pressure dependent leakage terms. The model uses the genetic algorithm to solve the problem

taking the minimized pipeline leakage loss as the objective function

the maximum installed number of the pressure reducing valve

the node pressure flow equation

and the maximum allowable leakage rate as the constraint conditions

to find out the installation number and locations of the pressure reducing valves. The one which costs the least is chosen from all the feasibilities as the optimal solution

and HJ area partition is taken as an example to illustrate in detail the calculation procedures of the decision support model. Our study possesses the guiding significance for the control of the actual pipeline leakage.