Please use this identifier to cite or link to this item: http://117.252.14.250:8080/jspui/handle/123456789/4666
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWagener, Thorsten-
dc.date.accessioned2020-08-18T10:21:05Z-
dc.date.available2020-08-18T10:21:05Z-
dc.date.issued2009-
dc.identifier.urihttp://117.252.14.250:8080/jspui/handle/123456789/4666-
dc.description.abstractCurrent hydrologic predictions are notoriously unreliable if we lack sufficient observations of the hydrologic variable of interest (most often strearnflow). In this paper we show how catchment classification can contribute to increase the reliability of ungauged predictions. The basis for a classification framework relying on catchment similarity with respect to physical characteristics, climatic regime and response behavior is discussed. Response behavior can be quantified through signatures (hydrologic indices) that can be regionalized resulting in constraints on the expected behavior of ungauged catchments. Examples of studies utilizing such regional information for the prediction of continuous streamfiow are provided. Finally, the discussion is extended to include the concept of catchment services to explicitly address the need for improved support of water resource management. Ultimately such an approach will advance our ability to achieve water security for humans and ecosystems through improved predictions.en_US
dc.language.isoenen_US
dc.publisherAllied Publishers Pvt. Ltd., New Delhien_US
dc.subjectWatershed Modelen_US
dc.title62-Catchment Classification and Predictions in Ungauged Basins.en_US
dc.typeOtheren_US
Appears in Collections:Proceedings of the International Conference on Water, Environment, Energy and Society (WEES-2009), 12-16 January 2009 at New Delhi, India, Vol.-1

Files in This Item:
File Description SizeFormat 
62-Catchment Classification and Predictions in Ungauged Basins..pdf2.32 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.