| Title | Dealing with Uncertainty in Decision-Making for Drinking Water Supply Systems Exposed to Extreme Events |
| Abstract | The availability and the quality of drinking water are key requirements for the well-being and the safety of a community, both in ordinary conditions and in case of disasters. Providing safe drinking water in emergency contributes to limit the intensity and the duration of crises, and is thus one of the main concerns for decision-makers, who operate under significant uncertainty. The present work proposes a Decision Support System for the emergency management of drinking water supply systems, integrating: i) a vulnerability assessment model based on Bayesian Belief Networks with the related uncertainty assessment model; ii) a model for impact, and related uncertainty assessment, based on Bayesian Belief Networks. The results of these models are jointly analyzed, providing decision-makers with a ranking of the priority of intervention. A GIS interface (G-Net) is developed to manage both input spatial information and results. The methodology is implemented in L'Aquila case study, discussing the potentialities associated to the use of the tool dealing with information and data uncertainty. |
| Source | Water resources management (Dordr., Online) 32 (6), pp. 2131–2145 |
| Keywords | Emergency managementDrinking water supply systemsBayesian belief networksUncertainty analysisDecision support system |
| Journal | Water resources management (Dordr., Online) |
| Editor | Kluwer, Dordrecht, Paesi Bassi |
| Year | 2018 |
| Type | Articolo in rivista |
| DOI | 10.1007/s11269-018-1922-8 |
| Authors | Pagano, Alessandro; Pluchinotta, Irene; Giordano, Raffaele; Petrangeli, Anna Bruna; Fratino, Umberto; Vurro, Michele |
| Text | 396677 2018 10.1007/s11269 018 1922 8 ISI Web of Science WOS 000427995100011 Scopus 2 s2.0 85042113399 Emergency management Drinking water supply systems Bayesian belief networks Uncertainty analysis Decision support system Dealing with Uncertainty in Decision Making for Drinking Water Supply Systems Exposed to Extreme Events Pagano, Alessandro; Pluchinotta, Irene; Giordano, Raffaele; Petrangeli, Anna Bruna; Fratino, Umberto; Vurro, Michele CNR; PSL Res Univ; Politecn Bari The availability and the quality of drinking water are key requirements for the well being and the safety of a community, both in ordinary conditions and in case of disasters. Providing safe drinking water in emergency contributes to limit the intensity and the duration of crises, and is thus one of the main concerns for decision makers, who operate under significant uncertainty. The present work proposes a Decision Support System for the emergency management of drinking water supply systems, integrating i a vulnerability assessment model based on Bayesian Belief Networks with the related uncertainty assessment model; ii a model for impact, and related uncertainty assessment, based on Bayesian Belief Networks. The results of these models are jointly analyzed, providing decision makers with a ranking of the priority of intervention. A GIS interface G Net is developed to manage both input spatial information and results. The methodology is implemented in L Aquila case study, discussing the potentialities associated to the use of the tool dealing with information and data uncertainty. 32 Published version Dealing with Uncertainty in Decision Making for Drinking Water Supply Systems Exposed to Extreme Events Published paper 2018 Pagano et al_WARM.pdf Articolo in rivista Kluwer 1573 1650 Water resources management Dordr., Online Water resources management Dordr., Online Water resour. manag. Dordr., Online Water resources management. Dordr., Online raffaele.giordano GIORDANO RAFFAELE annabruna.petrangeli PETRANGELI ANNA BRUNA alessandro.pagano PAGANO ALESSANDRO michele.vurro VURRO MICHELE |
