Please use this identifier to cite or link to this item: http://117.252.14.250:8080/jspui/handle/123456789/6386
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dc.contributor.authorSeth, S. M.-
dc.date.accessioned2021-10-12T18:50:53Z-
dc.date.available2021-10-12T18:50:53Z-
dc.date.issued1986-12-
dc.identifier.urihttp://117.252.14.250:8080/jspui/handle/123456789/6386-
dc.description.abstractThe assessment and forecasting of surface water yield using the pattern emerging from past flow observations is based on assumption of stationary time invariant stochastic process. In principle, it is a problem of water balance under effects of land use and management with given or forecasted input precipitation and evapotranspiration demand. The success or otherwise of long term forecasting would depend on the presence of persistence in concerned time series due to carry- over effects of soil moisture, snow, groundwater or surface water. Prior know- ledge of the meteorological conditions increases the accuracy and reliability of forecasts. Inspite of recent developments in numerical weather prediction, operational reliable method for use in hydrological forecasting is yet to be evolved.en_US
dc.language.isoenen_US
dc.publisherNational Institute of Hydrologyen_US
dc.subjectHydrological Forecastingen_US
dc.subjectSurface Wateren_US
dc.title6-Hydrological Forecasting for Surface Water Yield.en_US
dc.typeTechnical Reporten_US
Appears in Collections:2-Jal Vigyan Sameeksha Vol.-1(2)-December-1986

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