Please use this identifier to cite or link to this item: http://localhost:8081/jspui/handle/123456789/4146
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dc.contributor.authorSundareshwara, C. S.-
dc.date.accessioned2014-10-05T11:16:45Z-
dc.date.available2014-10-05T11:16:45Z-
dc.date.issued1980-
dc.identifierM.Techen_US
dc.identifier.urihttp://hdl.handle.net/123456789/4146-
dc.guideYoganarasimhan, G. N.-
dc.description.abstractFor most of rivers normally the historical data available Will be of short duration. The Water Resources. Projects based on. such records may not be fully reliable in respect of Planned diversion and storage characteristics. The plans based on the statistical. parameters of long term data is consdered superior to the alternative of depending on the historical sequence. Keeping this in voiw three mathematical models viz. (1) Markovian models both for seasonal and annual flows, (z) Fast Fractional Gaussian Noise models, (3) Broken line model and its modifications.........en_US
dc.language.isoenen_US
dc.subjectWATER RESOURCES DEVELOPMENT AND MANAGEMENTen_US
dc.subjectSEQUENTIAL GENERATIONen_US
dc.subjectHYDROLOGIC DATAen_US
dc.subjectMARKOVIAN MODELSen_US
dc.titleSEQUENTIAL GENERATION OF HYDROLOGIC DATAen_US
dc.typeM.Tech Dessertationen_US
dc.accession.number176177en_US
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