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DatoValore
TitleEmergency Management of Drinking Water Infrastructures Based on a Bayesian Decision Support System
AbstractThe present work summarizes the theoretical development process and the preliminary results of a research activity oriented to the definition of a Decision Support System (DSS) to be used for managing drinking water systems exposed to different hazard classes. The core of such DSS is a probabilistic vulnerability assessment tool based on Bayesian Belief Networks, mainly developed integrating expert knowledge and literature information. This vulnerability assessment tool proved able to define a reliable map of vulnerability levels for complex and interconnected infrastructures, thus helping decision-makers in the selection of the optimal strategies to respond to emergencies. The DSS is based also on the implementation of hydraulic models, both for gravity and pressurized water mains, which should provide information regarding the changes in the hydraulic behavior of the network due to a specific event or an action. A case study is described, confirming the potentialities of the proposed tool.
SourceASCE-ICVRAM-ISUMA 2014, 13/07/2014-16/07/2014
KeywordsDecision Support System; Bayesian Network; Infrastructures Vulnerability;
Year2014
TypeContributo in atti di convegno
DOI10.1061/9780784413609.202
AuthorsPagano A.; Giordano R.; Portoghese I.; Vurro M.; Fratino U.
Text343775 2014 10.1061/9780784413609.202 Scopus 2 s2.0 84933566969 Decision Support System; Bayesian Network; Infrastructures Vulnerability; Emergency Management of Drinking Water Infrastructures Based on a Bayesian Decision Support System Pagano A.; Giordano R.; Portoghese I.; Vurro M.; Fratino U. Istituto di Ricerca Sulle Acque Del Consiglio Nazionale Delle Ricerche, IRSA CNR, Via F. de Blasio 5, Bari, 70132, Italy; DICATECh, Politecnico di Bari, via E. Orabona 4, Bari, 70125, Italy The present work summarizes the theoretical development process and the preliminary results of a research activity oriented to the definition of a Decision Support System DSS to be used for managing drinking water systems exposed to different hazard classes. The core of such DSS is a probabilistic vulnerability assessment tool based on Bayesian Belief Networks, mainly developed integrating expert knowledge and literature information. This vulnerability assessment tool proved able to define a reliable map of vulnerability levels for complex and interconnected infrastructures, thus helping decision makers in the selection of the optimal strategies to respond to emergencies. The DSS is based also on the implementation of hydraulic models, both for gravity and pressurized water mains, which should provide information regarding the changes in the hydraulic behavior of the network due to a specific event or an action. A case study is described, confirming the potentialities of the proposed tool. Published version http //www.scopus.com/inward/record.url eid=2 s2.0 84933566969 partnerID=q2rCbXpz ASCE ICVRAM ISUMA 2014 13/07/2014 16/07/2014 Internazionale Contributo contributo 2014_ICVRAM_Emergency_Management_of_Drinking_Water_Infrastructures_Based_.pdf Contributo in atti di convegno alessandro.pagano PAGANO ALESSANDRO raffaele.giordano GIORDANO RAFFAELE ivan.portoghese PORTOGHESE IVAN michele.vurro VURRO MICHELE TA.P04.005.008 Integrazione di metodologie per il monitoraggio e la modellizzazione per la gestione delle risorse idriche