Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/55597
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dc.contributor.authorJirakom Sirisrisakulchaien_US
dc.contributor.authorNapat Harnpornchaien_US
dc.contributor.authorKittawit Autchariyapanitkulen_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.date.accessioned2018-09-05T02:58:19Z-
dc.date.available2018-09-05T02:58:19Z-
dc.date.issued2016-01-01en_US
dc.identifier.issn16113349en_US
dc.identifier.issn03029743en_US
dc.identifier.other2-s2.0-85005938795en_US
dc.identifier.other10.1007/978-3-319-49046-5_12en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85005938795&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/55597-
dc.description.abstract© Springer International Publishing AG 2016. System analysis of network of flows of water is essential for assessing risk of flooding. The flood risk management generally focuses on the meteorological forecasting together with the operation of hydraulic structure while overlooks the flood incurred by inefficient performance of natural instrument in flood mitigation, namely of canal systems. A new methodology for the risk assessment of flood from the prospect of the capacity of canal system is proposed in this paper. The methodology comprises the modeling of a canal system by a flow network in the graph theory, the formulation for the determination of the system capacity in terms of the maximum flow problem, the treatment of uncertainty using copula couple with maximum entropy models, the definition of flood risk event, and the method of risk assessment. The application of the proposed methodology is illustrated through a numerical example.en_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleA flood risk assessment based on maximum flow capacity of canal systemen_US
dc.typeBook Seriesen_US
article.title.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
article.volume9978 LNAIen_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsMaejo Universityen_US
Appears in Collections:CMUL: Journal Articles

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