HYDRAULIC PERFORMANCE ASSESSMENT OF KOFELE TOWN WATER SUPPLY DISTRIBUTION SYSTEM
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Date
2021-08-07
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Hawassa University
Abstract
Knowledge about actual network performance during different operating situations is a key tool
to control and manage the existing water supply systems or design new networks. This study
was conducted in Kofele Town to assess the hydraulic performance of the water supply
distribution system. Both secondary and primary data sources were used for this study. To
analyze the existing water distribution system using Water GEMS V8i software. The model can
be used to identify the zone of higher and lower pressure junctions and velocity through the
pipe. The current total domestic water demand in town was 400 𝑚3
/day, and the average per
capita domestic water consumption was 12.45 lit/person/day. The water flowing from the source
to the system is not enough and low system efficiency was observed to satisfy the user
community. According to simulated results; the maximum and and a minimum pressures were
119m and 2m respectively. The water loss of the town was 31.125% from the total water
production. Hence, the water distribution network was faced frequent pipe bursts and failures
during low demand times and exposed to a large volume of water loss. The average amount of
water, which reached the consumers accounts only 68.875% of the total water produced and
it is less than 75%..Generally the result of the analysis shows that the overall hydraulic
performance of water distribution of the town was poor, which is reflected by low water
production rate, low water consumption, and high level of Non-revenue water, low service
coverage. Therefore, it is significant to rehabilitate and improve the water distribution system
capacities, establishing pressure zone, increase pumping rate and drilling additional borehole.
In addition providing more attention to water losses reduction policies and strategies are vital
for remedial measures.
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Keywords
WaterGEMSV8i, Hydraulic Performance Assessment, Kofele Town Water Supply
