SONGHao-jie,KONGXiang-da,HOUBen-wei,et al.Analysis of DMA Water Consumption Characteristics Utilizing Flow Monitoring Data[J].China Water & Wastewater,2025,41(5):44-51.
Analysis of DMA Water Consumption Characteristics Utilizing Flow Monitoring Data
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第41卷
Number:
第5期
Page:
44-51
Column:
Date of publication:
2025-03-01
- Keywords:
- district metered area (DMA); water consumption characteristics; hourly variation pattern; population activity; physical attribute
- Abstract:
- The district metered area (DMA) within the urban water supply network primarily serves residential users, and the flow monitoring data reflects the changes in residential water consumption. Based on the real-time flow data transmitted by the water meters within a DMA in a northern city, abnormal flow data were identified and cleansed. Subsequently, the hourly and daily variation patterns of DMA water consumption were analyzed from three perspectives: the holiday effect, the distribution of peak water consumption periods, and the correlation between population data and water consumption, so as to comprehensively investigate the characteristics of DMA water consumption. The relationships between monthly water consumption and the number of households, pipeline length and floor area in combination with the physical attributes of DMAs were analyzed through fitting. The hourly water consumption of various DMA types exhibited comparable morning and evening peak fluctuations during holidays, while daily water consumption demonstrated a U-shaped fluctuation. Monthly water consumption was found to have an exponential relationship with the three physical attribute factors. The DMA water consumption characteristics analyzed across multiple time dimensions in this study can serve as a foundation for regulating water supply within the pipe network, monitoring and managing DMA water consumption data, and the time-varying population heat value can provide a reference for short-term water consumption forecasting in DMA.
Last Update:
2025-03-01