2010
DOI: 10.2166/aqua.2010.108
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Study on failure rate analysis for water distribution pipelines

Abstract: Many of the waterworks facilities in Japan were constructed during the rapid economic growth period. Today, the deterioration and renovation of these aged facilities have become a pressing issue. There are approximately 600,000 km worth of water pipelines laid out across Japan, accounting for about 70% of the nation's water-related assets (totalling ¥40 trillion). To provide water that is safe to use, it is necessary to improve and innovate water purification technologies; not only that, it is also vital to pr… Show more

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Cited by 13 publications
(5 citation statements)
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“…For each of them, the structure of users was determined, i.e. type of building, standard of sanitary equipment, type and variability of industry, as well as hourly timetable was defi ned accordingly [Romano et al, 2014;Arai et al, 2010].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…For each of them, the structure of users was determined, i.e. type of building, standard of sanitary equipment, type and variability of industry, as well as hourly timetable was defi ned accordingly [Romano et al, 2014;Arai et al, 2010].…”
Section: Methodsmentioning
confidence: 99%
“…ℎ 𝑝𝑝𝑝𝑝𝑝𝑝𝑝𝑝 𝑝𝑝𝑝𝑝 * 𝛥𝛥𝛥𝛥𝑇𝑇𝑇𝑇 𝑝𝑝𝑝𝑝 � Q pmi -average efficiency of the i-th pumping station [m 3 /s]; Q pni -efficiency of the i-th pumping station at the nominal pumping head [m3 /s].The potential of the Pump Station PressureHeight is described by the equation[Knapik, 2020]:…”
mentioning
confidence: 99%
“…[28]. Research carried out so far has taken into account the impact of pressure on the failure frequency of pipes [29], type, diameter, and material of pipes [30][31][32][33], the impact of climatic conditions [34]. Taking into account the appropriate number of variables allows you to properly determine the relationship between the causes and effects of failure.…”
Section: The Methods For Assessing the Water Supply Network Reliabilitymentioning
confidence: 99%
“…However, the quality of modelling in such cases can be lower since the forecasting process is based not on real data (from existing water utilities), but on artificial data. Still the majority of modelling approaches are based on operational information [1,7,22]. Therefore it seems worthwhile to compare the results of modelling with experimental data coming from two Polish water utilities in order to check whether the models proposed in the literature are valid for the water-pipe operating conditions in Poland.…”
Section: Methodsmentioning
confidence: 99%