District metered area( DMA) technology and leakage control are important means for water supplyenterprises to reduce the operating costs of water supply networks.DMA partition optimization technology has tosome extent simplified the number of sensor configurations , but research on leak localization methods underextremely simple sensor configuration conditions in DMA is still relatively rare.At the same time , the existingresearch results are rare in the analysis of Confounding of leakage location methods. Therefore , based onsimulation experiments the above two issues of leakage localization are studied. Firstly ,introduce the concept ofwater supply network leakage and the application of DMA technology in water supply networks.Then ,based onthe Netl.inp file included in EPANET Matlab Toolkit 2.1.1,a single inlet node was used to configure waterpressure and flow sensors on the EPANET simulation software platform to simulate independent metering zonesunder limited resource conditions.Next ,run EPANET simulation software to simulate the 24-hour water supplsituation in the independent metering area under ideal conditions and a temporary increase in water demand ata certain water supply node ,and obtain two datasets for the inlet nodes.Finally,a BP neural network predictionmodel program was developed using the MATLAB platform, and the two datasets were trained and tested separately. The results show that under ideal conditions, the BP neural network prediction model has highaccuracy in DMA leakage localization under limited resource conditions ,and the temporary increase in water demand at water supply nodes will increase the model prediction error.