Applications of water network tool for resilience (WNTR) for metrics and repair strategies of water distribution systems

Chilaka, Neelesh (2021) Applications of water network tool for resilience (WNTR) for metrics and repair strategies of water distribution systems. [Laurea magistrale], Università di Bologna, Corso di Studio in Civil engineering [LM-DM270], Documento ad accesso riservato.
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Abstract

Drinking water systems will always face multiple challenges with respective to aging infrastructure, concerns related to water quality, uncertainty in supply and demand, disruptive events like environmental urgencies, natural disasters, and cyber and terrorist attacks. All of the above-mentioned incidents have the potential to disrupt a large part of a water system or the whole water distribution system either causing the damage to vital parts of infrastructure, affecting the human health, and interrupting service to consumers.Urban or metropolitan communities have experienced loss of infrastructure or its primary functionality in the corollary of the disasters. The coincidence of earthquakes and densely populated cities shall create the potential for increased direct and indirect consequences of seismic events with respective to all infrastructure elements would be at halt until the recovery time they need for full recovery. The resilience of all the communities to disasters is a component of the execution of infrastructure and their functionality is to be analysed. Water supply networks in the corollary of disasters offer primary assistance to enable, safeguard and improve the conditions for time being. Any interruption in these frameworks will cause inconvenience and challenges for the disrupted network community. Providing enough water at acceptable levels of service in disasters is significant. The resilience metrics must be determined for the better outcome of the analysis for a better analogy of the work being done for the research. The resilience of the water supply network would be indeterminable accurately since the real- world parameters change from time to time. This dissertation would be using a Python based tool which is Water Network tool for the resilience metrics determination of the water supply network.

Abstract
Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
Chilaka, Neelesh
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Indirizzo
Infrastructure Design in River Basins
Ordinamento Cds
DM270
Parole chiave
Water distribution network,infrastructure,disasters,resilience metrics,fragility curves,WNTR,EPANET
Data di discussione della Tesi
7 Ottobre 2021
URI

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