A study of the water supply system failure in terms of the seasonality: analysis by statistical approaches
Among the many factors affecting water supply system failures are the weather conditions that change over the year. Since this is an important research issue, as part of this study, investigation of water supply system failure seasonality by the selected statistical approaches was presented. The bas...
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2021
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oai:doaj.org-article:08c4db0117194fd3bf807f14d1b35fd62021-11-05T17:03:30ZA study of the water supply system failure in terms of the seasonality: analysis by statistical approaches2709-80282709-803610.2166/aqua.2021.151https://doaj.org/article/08c4db0117194fd3bf807f14d1b35fd62021-05-01T00:00:00Zhttp://aqua.iwaponline.com/content/70/3/289https://doaj.org/toc/2709-8028https://doaj.org/toc/2709-8036Among the many factors affecting water supply system failures are the weather conditions that change over the year. Since this is an important research issue, as part of this study, investigation of water supply system failure seasonality by the selected statistical approaches was presented. The basis of the research was monthly number of the pipelines' failures from the multi-year period of 2007–2017 of the municipal water network located in southern Poland. Mann–Kendall test results proved decreasing seasonal trend of the failure rate indexes λ. In turn, the results of the Colwell indexes' calculations allowed it to be stated that seasonal course of the water pipelines' failure events can be relatively easy to predict. As it turned out, it is difficult to determine unambiguously the impact of a given period of the year on the water pipeline failure events' occurrence. However, greater failure-free operation of the water pipelines may be expected in spring and summer months than in autumn and winter months. Because using Colwell indexes for seasonality analysis has no limitations compared to other methods, Colwell indexes may be considered as reliable tools for the assessment of the seasonal course of the water pipelines' failure events. HIGHLIGHTS Statistical analysis of the water supply system failure seasonality.; Using the selected statistical approaches for the analysis of water pipelines failure rate indexes λ.; Seasonal course of the water pipelines failure events can be relatively easy to predict by using the Colwell indexes.; Not clear impact of a given period of the year on water supply system failures was found.;Dariusz MłyńskiTomasz BergelAnna MłyńskaKazimierz KudlikIWA Publishingarticlefailure rate index λseasonalitystatistical analysistrendwater pipelineswater supply systemEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENAqua, Vol 70, Iss 3, Pp 289-302 (2021) |
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failure rate index λ seasonality statistical analysis trend water pipelines water supply system Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 |
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failure rate index λ seasonality statistical analysis trend water pipelines water supply system Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Dariusz Młyński Tomasz Bergel Anna Młyńska Kazimierz Kudlik A study of the water supply system failure in terms of the seasonality: analysis by statistical approaches |
description |
Among the many factors affecting water supply system failures are the weather conditions that change over the year. Since this is an important research issue, as part of this study, investigation of water supply system failure seasonality by the selected statistical approaches was presented. The basis of the research was monthly number of the pipelines' failures from the multi-year period of 2007–2017 of the municipal water network located in southern Poland. Mann–Kendall test results proved decreasing seasonal trend of the failure rate indexes λ. In turn, the results of the Colwell indexes' calculations allowed it to be stated that seasonal course of the water pipelines' failure events can be relatively easy to predict. As it turned out, it is difficult to determine unambiguously the impact of a given period of the year on the water pipeline failure events' occurrence. However, greater failure-free operation of the water pipelines may be expected in spring and summer months than in autumn and winter months. Because using Colwell indexes for seasonality analysis has no limitations compared to other methods, Colwell indexes may be considered as reliable tools for the assessment of the seasonal course of the water pipelines' failure events. HIGHLIGHTS
Statistical analysis of the water supply system failure seasonality.;
Using the selected statistical approaches for the analysis of water pipelines failure rate indexes λ.;
Seasonal course of the water pipelines failure events can be relatively easy to predict by using the Colwell indexes.;
Not clear impact of a given period of the year on water supply system failures was found.; |
format |
article |
author |
Dariusz Młyński Tomasz Bergel Anna Młyńska Kazimierz Kudlik |
author_facet |
Dariusz Młyński Tomasz Bergel Anna Młyńska Kazimierz Kudlik |
author_sort |
Dariusz Młyński |
title |
A study of the water supply system failure in terms of the seasonality: analysis by statistical approaches |
title_short |
A study of the water supply system failure in terms of the seasonality: analysis by statistical approaches |
title_full |
A study of the water supply system failure in terms of the seasonality: analysis by statistical approaches |
title_fullStr |
A study of the water supply system failure in terms of the seasonality: analysis by statistical approaches |
title_full_unstemmed |
A study of the water supply system failure in terms of the seasonality: analysis by statistical approaches |
title_sort |
study of the water supply system failure in terms of the seasonality: analysis by statistical approaches |
publisher |
IWA Publishing |
publishDate |
2021 |
url |
https://doaj.org/article/08c4db0117194fd3bf807f14d1b35fd6 |
work_keys_str_mv |
AT dariuszmłynski astudyofthewatersupplysystemfailureintermsoftheseasonalityanalysisbystatisticalapproaches AT tomaszbergel astudyofthewatersupplysystemfailureintermsoftheseasonalityanalysisbystatisticalapproaches AT annamłynska astudyofthewatersupplysystemfailureintermsoftheseasonalityanalysisbystatisticalapproaches AT kazimierzkudlik astudyofthewatersupplysystemfailureintermsoftheseasonalityanalysisbystatisticalapproaches AT dariuszmłynski studyofthewatersupplysystemfailureintermsoftheseasonalityanalysisbystatisticalapproaches AT tomaszbergel studyofthewatersupplysystemfailureintermsoftheseasonalityanalysisbystatisticalapproaches AT annamłynska studyofthewatersupplysystemfailureintermsoftheseasonalityanalysisbystatisticalapproaches AT kazimierzkudlik studyofthewatersupplysystemfailureintermsoftheseasonalityanalysisbystatisticalapproaches |
_version_ |
1718444081494884352 |