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Water distribution network disruptive events. Generation and exploration of an incident hub to increase the network preparedness

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Water distribution network disruptive events. Generation and exploration of an incident hub to increase the network preparedness

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dc.contributor.author Ayala-Cabrera, David es_ES
dc.contributor.author Francés-Chust, Jorge es_ES
dc.contributor.author Hoseini-Ghafari, Sotudeh es_ES
dc.contributor.author Stanton, Gemma es_ES
dc.contributor.author Izquierdo, Joaquín es_ES
dc.date.accessioned 2024-07-08T07:41:13Z
dc.date.available 2024-07-08T07:41:13Z
dc.date.issued 2024-03-06
dc.identifier.isbn 9788490489826
dc.identifier.uri http://hdl.handle.net/10251/205816
dc.description.abstract [EN] This paper seeks to develop increased knowledge about disruptive events in a water distribution network (WDN) through the experience acquired by previous anomalous events in the system. This work explores the various relationships between several parameters in an incident hub (specifically water loss events) in a Spanish real, small WDN. The incident hub consists of basic elements recorded during an incident (e.g. breakdown, maintenance activity, among others) and the corresponding causes that generated the incident (e.g. breakage due to excess pressure, breakage due to tree roots, etc.), as well as the management times of the incident (e.g. awareness time, isolation, and repair time). The utility collected and stored these data, which were completed with direct interviews with the system operator. Measurements were performed at pressure and flow sensors, which allowed evaluating the effects of both the incident itself and the actions taken to solve it. The records of the incidents are categorised depending on the nature of the data they contain to facilitate mapping their causes and effects. To characterise the disruptive events, a feature extraction process has been proposed using a temporal-spatial approach combined with a migration proposed that describes parameters’ behaviour in the spatial dimension for a certain period of time. The characteristics obtained in the previous lessons of the incidents contained in the incident hub are compared with potential causes obtained with different control parameters. The objective is to determine the potential causal relationship of the incident that allows its characterisation. The results of this characterisation are presented and analysed in this contribution. The outcomes are promising in the sense of a clear ability to provide WDNs with key parameters that foster prediction and classification processes. es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof 2nd International Join Conference on Water Distribution System Analysis (WDSA) & Computing and Control in the Water Industry (CCWI)
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject Hub of incidents es_ES
dc.subject Water distribution networks es_ES
dc.subject Spatial-temporal analysis es_ES
dc.subject Network preparedness es_ES
dc.subject Resilience es_ES
dc.subject Protection of critical infrastructures es_ES
dc.subject Intelligent data analysis es_ES
dc.title Water distribution network disruptive events. Generation and exploration of an incident hub to increase the network preparedness es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/WDSA-CCWI2022.2022.14833
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Ayala-Cabrera, D.; Francés-Chust, J.; Hoseini-Ghafari, S.; Stanton, G.; Izquierdo, J. (2024). Water distribution network disruptive events. Generation and exploration of an incident hub to increase the network preparedness. Editorial Universitat Politècnica de València. https://doi.org/10.4995/WDSA-CCWI2022.2022.14833 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename 2nd WDSA/CCWI Joint Conference es_ES
dc.relation.conferencedate Julio 18-22, 2022 es_ES
dc.relation.conferenceplace Valencia, España es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/WDSA-CCWI/WDSA-CCWI2022/paper/view/14833 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\14833 es_ES


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