dc.contributor.author | Πελεκάνος Νικόλαος | el |
dc.contributor.author | Pelekanos, Nikolaos | en |
dc.date.accessioned | 2020-12-07T15:54:19Z | |
dc.date.available | 2020-12-07T15:54:19Z | |
dc.identifier.uri | https://dspace.lib.ntua.gr/xmlui/handle/123456789/52347 | |
dc.identifier.uri | http://dx.doi.org/10.26240/heal.ntua.20045 | |
dc.rights | Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα | * |
dc.rights | Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα | * |
dc.rights | Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/gr/ | * |
dc.subject | Προσομοίωση | el |
dc.subject | Δίκτυα διανομής νερού | el |
dc.subject | Μόλυνση | el |
dc.subject | Οργανικό φορτίο | el |
dc.subject | Βακτήρια | el |
dc.subject | Simulation | en |
dc.subject | Water distribution systems | en |
dc.subject | Vulnerability | en |
dc.subject | Bacterial regrowth | en |
dc.subject | Contamination events | en |
dc.title | Προσομοίωση και ανάλυση τρωτότητας αστικών δίκτύων διανομής νερού σε επιθέσεις οργανικού φορτίου | el |
dc.title | Simulation and vulnerability assessment of water distribution networks under organic attacks | en |
heal.type | bachelorThesis | |
heal.generalDescription | - | el |
heal.classification | Υδραυλική μηχανική | el |
heal.language | en | |
heal.access | free | |
heal.recordProvider | ntua | el |
heal.publicationDate | 2020-03-09 | |
heal.abstract | This work contributes a modeling framework to characterize the effect of deliberate organic contamination events on water distribution systems (WDSs). A bacterial regrowth model and a first parallel chlorine decay model were combined to describe the kinetics of organic carbon, flowing and attached bacteria, and chlorine during a deliberate contaminant injection consisting of organic (TOC) and bacterial (Heterotrophic Plate Count) load. Realistic network water quality conditions were achieved by a 30-day network operating simulation, mainly aiming in the formation of biofilm to pipe surface. The attack was modeled using EPANET-MSX through EPANET-MATLAB Toolkit, as a steady 30-minute injection delivering 7000 g to a single node of the water distribution system. The same injection was repeated in each node at all nodes of the pipe network. The impact of the attack in each case was quantified by vulnerability indexes measuring the potential exposure of either TOC or bacteria to consumers. Those vulnerability indexes were then used to construct empirical probability mass function (PMF) and cumulative density function (CDF) diagrams in order to interpret the results of total network response due to a contamination event. Two maps were constructed to depict the ability of each node to expose downstream consumers at risk, as well as, the likelihood of every single one of them to be affected by a contaminant injection. In part II of the investigation, a sensitivity analysis was carried out to determine the network’s sensitivity to three dynamic network variables (mass injection, injection duration and organic carbon concertation in water).The three mentioned variables appeared to have a significant impact on bacterial regrowth levels, in contrast to exposure of total population, that was slightly affected. | en |
heal.advisorName | Μακρόπουλος, Χρήστος | el |
heal.committeeMemberName | Μακρόπουλος, Χρήστος | el |
heal.committeeMemberName | Νουτσόπουλος, Κωνσταντίνος | el |
heal.committeeMemberName | Μαμάσης, Νικόλαος | el |
heal.academicPublisher | Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Πολιτικών Μηχανικών. Τομέας Υδατικών Πόρων και Περιβάλλοντος | el |
heal.academicPublisherID | ntua | |
heal.numberOfPages | 151 σ. | el |
heal.fullTextAvailability | false |
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