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Analysis of the impact of intermittent distribution by modelling the network-filling process
Author(s) -
Mauro De Marchis,
Chiara Maria Fontanazza,
Gabriele Freni,
Goffredo La Loggia,
Enrico Napoli,
Vincenza Notaro
Publication year - 2010
Publication title -
journal of hydroinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.654
H-Index - 50
eISSN - 1465-1734
pISSN - 1464-7141
DOI - 10.2166/hydro.2010.026
Subject(s) - scarcity , water scarcity , disadvantaged , process (computing) , vulnerability (computing) , competition (biology) , resource (disambiguation) , distribution (mathematics) , service (business) , computer science , order (exchange) , environmental economics , environmental science , economics , business , water resources , microeconomics , mathematics , computer security , marketing , ecology , economic growth , computer network , mathematical analysis , finance , biology , operating system
In many countries, users acquire private tanks to reduce their vulnerability to water scarcity. In such conditions, water managers often apply intermittent distribution in order to reduce the water volumes supplied to the users. This practice modifies the hydraulic behaviour of the network and determines competition among users that need to collect enough water resource for their uses. Intermittent distribution is thus responsible for the inequality that can occur among users: those located in advantaged positions of the network are able to obtain water resources soon after the service period begins, while others have to wait much longer, after the network is full. This paper analyses the inequalities that take part when intermittent distribution is applied in water scarcity scenarios. Considering the complexity of the process, the analysis was performed by means of an unsteady numerical model. The model was applied to a real case study which provided interesting insights into the network filling process, helping to highlight the advantaged and disadvantaged areas of the network in different water scarcity scenarios.

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