Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | A Bayesian vulnerability assessment tool for drinking water mains under extreme events |
| Abstract | Drinking water security is a life safety issue as an adequate supply of safe water is essential for economic, social and sanitary reasons. Damage to any element of a water system, as well as corruption of resource quality, may have significant effects on the population it serves and on all other dependent resources and activities. As well as an analysis of the reliability of water distribution systems in ordinary conditions, it is also crucial to assess system vulnerability in the event of natural disasters and of malicious or accidental anthropogenic acts. The present work summarizes the initial results of research activities that are underway with the intention of developing a vulnerability assessment methodology for drinking water infrastructures subject to hazardous events. The main aim of the work was therefore to provide decision makers with an effective operational tool which could support them mainly to increase risk awareness and preparedness and, possibly, to ease emergency management. The proposed tool is based on Bayesian Belief Networks (BBN), a probabilistic methodology which has demonstrated outstanding potential to integrate a range of sources of knowledge, a great flexibility and the ability to handle in a mathematically sound way uncertainty due to data scarcity and/or limited knowledge of the system to be managed. The tool was implemented to analyze the vulnerability of two of the most important water supply systems in the Apulia region (southern Italy) which have been damaged in the past by natural hazards. As well as being useful for testing and improving the predictive capabilities of the methodology and for possibly modifying its structure and features, the case studies have also helped to underline its strengths and weaknesses. Particularly, the experiences carried out demonstrated how the |
| Source | Natural hazards (Dordr.) 74 (3), pp. 2193–2227 |
| Keywords | Bayesian Belief NetworksDecision Support SystemDrinking water supplyPhysical hazardsVulnerability assessment |
| Journal | Natural hazards (Dordr.) |
| Editor | Kluwer Academic Pubishers, Boston, Paesi Bassi |
| Year | 2014 |
| Type | Articolo in rivista |
| DOI | 10.1007/s11069-014-1302-5 |
| Authors | Pagano A.; Giordano R.; Portoghese I.; Fratino U.; Vurro M. |
| Text | 296638 2014 10.1007/s11069 014 1302 5 Scopus 2 s2.0 84918552622 Bayesian Belief Networks Decision Support System Drinking water supply Physical hazards Vulnerability assessment A Bayesian vulnerability assessment tool for drinking water mains under extreme events Pagano A.; Giordano R.; Portoghese I.; Fratino U.; Vurro M. Istituto di Ricerca Sulle Acque del Consiglio Nazionale delle Ricerche IRSA CNR , Bari, Italy; DICATECh, Politecnico di Bari, Bari, Italy Drinking water security is a life safety issue as an adequate supply of safe water is essential for economic, social and sanitary reasons. Damage to any element of a water system, as well as corruption of resource quality, may have significant effects on the population it serves and on all other dependent resources and activities. As well as an analysis of the reliability of water distribution systems in ordinary conditions, it is also crucial to assess system vulnerability in the event of natural disasters and of malicious or accidental anthropogenic acts. The present work summarizes the initial results of research activities that are underway with the intention of developing a vulnerability assessment methodology for drinking water infrastructures subject to hazardous events. The main aim of the work was therefore to provide decision makers with an effective operational tool which could support them mainly to increase risk awareness and preparedness and, possibly, to ease emergency management. The proposed tool is based on Bayesian Belief Networks BBN , a probabilistic methodology which has demonstrated outstanding potential to integrate a range of sources of knowledge, a great flexibility and the ability to handle in a mathematically sound way uncertainty due to data scarcity and/or limited knowledge of the system to be managed. The tool was implemented to analyze the vulnerability of two of the most important water supply systems in the Apulia region southern Italy which have been damaged in the past by natural hazards. As well as being useful for testing and improving the predictive capabilities of the methodology and for possibly modifying its structure and features, the case studies have also helped to underline its strengths and weaknesses. Particularly, the experiences carried out demonstrated how the 74 http //www.scopus.com/inward/record.url eid=2 s2.0 84918552622 partnerID=q2rCbXpz Articolo in rivista Kluwer Academic Pubishers 0921 030X Natural hazards Dordr. Natural hazards Dordr. Nat. hazards Dordr. Natural hazards. Dordr. alessandro.pagano PAGANO ALESSANDRO raffaele.giordano GIORDANO RAFFAELE ivan.portoghese PORTOGHESE IVAN michele.vurro VURRO MICHELE |