Probabale maximum flood at Nira-Deoghar dam site in India

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dc.contributor.authorShah, Dhaval
dc.contributor.authorMagar, Rajendra
dc.date.accessioned2016-11-17T17:32:59Z
dc.date.available2016-11-17T17:32:59Z
dc.date.issued2016-10-14
dc.descriptionNational Conference on Water Resources & Flood Management with special reference to Flood Modellingen_US
dc.description.abstractEstimation of inflow design flood i.e. Probable maximum flood (PMF) for major storage reservoirs is most important parameter. The consequences of a failure of the structure due to improper estimation of PMF could be calamitous in terms of loss of human lives and damage to property. PMF which is estimated from probable maximum precipitation (PMP) is used as inflow design flood for major projects. PMP is the greatest depth of precipitation for a given duration which is physically possible for an area. Various methods such as statistical, empirical, storm maximisation and transposition approach, and dynamic approach are used for estimation of PMP. This paper presents unit hydrograph method which reflects all physical characteristics of the catchment for obtaining PMF hydrograph. The study area selected is Nira-Deoghar dam which is located on River Nira in the Krishna basin, Maharashtra, India. The outcome of PMF in Indian scenario is very much important since it is directly related to dam safety.en_US
dc.identifier.citationShah, D.; Magar, R. (2016). Probabale maximum flood at Nira-Deoghar dam site in India, National Conference on Water Resources & Flood Management with special reference to Flood Modelling, Surat, October 14-15, 2016: Sardar Vallabhbhai National Institute of Technology.en_US
dc.identifier.isbn978-81-931162-4-1
dc.identifier.urihttp://www.aiktcdspace.org:8080/jspui/handle/123456789/1844
dc.language.isoen_USen_US
dc.publisherSardar Vallabhbhai National Institute of Technologyen_US
dc.subjectStaff Publication - SoETen_US
dc.subjectStaff Publication - CEen_US
dc.titleProbabale maximum flood at Nira-Deoghar dam site in Indiaen_US
dc.typeArticleen_US
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