Exploring the Extraction of Knowledge from Previous Lessons and Disruptive Events in Water Distribution Networks
This work explores the various relationships between several parameters in an incident hub of a small real WDN. To facilitate analysis, incident data were previously categorised depending on the nature of the cause of the incident. The data are analysed through spatial analysis, based on the transmi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-09-01
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| Series: | Engineering Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4591/69/1/67 |
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| author | David Ayala-Cabrera Jorge Francés-Chust Mario Castro-Gama Samira Islam |
| author_facet | David Ayala-Cabrera Jorge Francés-Chust Mario Castro-Gama Samira Islam |
| author_sort | David Ayala-Cabrera |
| collection | DOAJ |
| description | This work explores the various relationships between several parameters in an incident hub of a small real WDN. To facilitate analysis, incident data were previously categorised depending on the nature of the cause of the incident. The data are analysed through spatial analysis, based on the transmission of information from the surrounding areas, and are also incorporated to add certain uncertainty to the information. The results of this characterisation are presented and analysed in this contribution. The results are promising in providing water distribution networks with key parameters that promote prediction and classification processes from the lessons learned. |
| format | Article |
| id | doaj-art-2043defbe10e4abeba49b95a95f1a72b |
| institution | Kabale University |
| issn | 2673-4591 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Engineering Proceedings |
| spelling | doaj-art-2043defbe10e4abeba49b95a95f1a72b2025-08-20T03:43:15ZengMDPI AGEngineering Proceedings2673-45912024-09-016916710.3390/engproc2024069067Exploring the Extraction of Knowledge from Previous Lessons and Disruptive Events in Water Distribution NetworksDavid Ayala-Cabrera0Jorge Francés-Chust1Mario Castro-Gama2Samira Islam3CWRR-School of Civil Engineering, University College Dublin, D04 V1W8 Dublin, IrelandAqlara Ciclo Integral del Agua S.A, 46800 Játiva, SpainSpecialist Infrastructure, Water Expertise Center, VITENS N.V., 8001 Zwolle, The NetherlandsCWRR-School of Civil Engineering, University College Dublin, D04 V1W8 Dublin, IrelandThis work explores the various relationships between several parameters in an incident hub of a small real WDN. To facilitate analysis, incident data were previously categorised depending on the nature of the cause of the incident. The data are analysed through spatial analysis, based on the transmission of information from the surrounding areas, and are also incorporated to add certain uncertainty to the information. The results of this characterisation are presented and analysed in this contribution. The results are promising in providing water distribution networks with key parameters that promote prediction and classification processes from the lessons learned.https://www.mdpi.com/2673-4591/69/1/67water distribution networksnetwork preparednesshub of incidentsprotection of critical infrastructureintelligent data analysis |
| spellingShingle | David Ayala-Cabrera Jorge Francés-Chust Mario Castro-Gama Samira Islam Exploring the Extraction of Knowledge from Previous Lessons and Disruptive Events in Water Distribution Networks Engineering Proceedings water distribution networks network preparedness hub of incidents protection of critical infrastructure intelligent data analysis |
| title | Exploring the Extraction of Knowledge from Previous Lessons and Disruptive Events in Water Distribution Networks |
| title_full | Exploring the Extraction of Knowledge from Previous Lessons and Disruptive Events in Water Distribution Networks |
| title_fullStr | Exploring the Extraction of Knowledge from Previous Lessons and Disruptive Events in Water Distribution Networks |
| title_full_unstemmed | Exploring the Extraction of Knowledge from Previous Lessons and Disruptive Events in Water Distribution Networks |
| title_short | Exploring the Extraction of Knowledge from Previous Lessons and Disruptive Events in Water Distribution Networks |
| title_sort | exploring the extraction of knowledge from previous lessons and disruptive events in water distribution networks |
| topic | water distribution networks network preparedness hub of incidents protection of critical infrastructure intelligent data analysis |
| url | https://www.mdpi.com/2673-4591/69/1/67 |
| work_keys_str_mv | AT davidayalacabrera exploringtheextractionofknowledgefrompreviouslessonsanddisruptiveeventsinwaterdistributionnetworks AT jorgefranceschust exploringtheextractionofknowledgefrompreviouslessonsanddisruptiveeventsinwaterdistributionnetworks AT mariocastrogama exploringtheextractionofknowledgefrompreviouslessonsanddisruptiveeventsinwaterdistributionnetworks AT samiraislam exploringtheextractionofknowledgefrompreviouslessonsanddisruptiveeventsinwaterdistributionnetworks |