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Modeling and Optimization of the Drinking Water Supply Network—A System Case Study from the Czech Republic

doi: 10.3390/su12239984
In this study, we investigated the modelling and optimization of drinking water supply system reliability in the village of Zaben, Czech Republic. An in depth overview of the water supply network in the municipality, passport processing and accident and malfunction recording is provided based on data provided by the owner and operator of the water mains as well as the data collected by our own field survey. Using the data processed from accident and failure reports in addition to water main documentation, the water supply network in Zaben was evaluated according to the failure modes and effects analysis methods. Subsequently, individual water supply lines were classified based on their structural condition. In addition, a proposed plan for financing the reconstruction of the water supply mains in Zaben was created. As such, this study provides an overall assessment of the water supply network in Zaben alongside a proposed plan for the structural restoration of the water supply system, which accounts for the theoretical service life of the system and the financial resources of the owner.
- Vysoká škola báňská-Technická univerzita Ostrava (VŠB Technical University of Ostrava) Czech Republic
- Vysoká škola báňská-Technická univerzita Ostrava (VŠB Technical University of Ostrava) Czech Republic
- Technical University of Ostrava Czech Republic
- Technical University of Ostrava Czech Republic
Environmental effects of industries and plants, TJ807-830, TD194-195, failure modes, Renewable energy sources, Environmental sciences, structural integrity, GE1-350, water pipes
Environmental effects of industries and plants, TJ807-830, TD194-195, failure modes, Renewable energy sources, Environmental sciences, structural integrity, GE1-350, water pipes
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).10 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
