Physically Based Parameter Estimation by Kapangaziwiri Evison (6 results)

Taschenbuch. Condition: Neu. Physically based parameter estimation methods for hydrological models | Revised calibration and application procedures for the Pitman monthly rainfall-runoff model in southern African basins | Evison Kapangaziwiri | Taschenbuch | 188 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844387377 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Reliable quantification of available water resources is an important prerequisite for sustainable management and development. However, the data required for adequate resource estimation are usually not available due to inadequate and shrinking measurement networks. Hydrologic models are the standard tool used to generate continuous estimates of stream flow and regionalisation has been the traditional approach to model application in poorly gauged basins. The classical approach to regionalization is to calibrate against naturalized observed data, identify hydrologically similar basins, and then transfer calibrated parameter sets to the ungauged basins. One of the problems related to this approach is the relatively few basins for calibration in southern Africa (due to data quality and availability problems), resulting in huge uncertainties in the prediction process. This study proposes an a priori process to directly estimate parameters of the Pitman monthly rainfall runoff model based on physical basin characteristics. The approach is tested on selected basins in southern African. 188 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kapangaziwiri EvisonDr. Evison Kapangaziwiri is a surface water hydrologist with professional experience in diverse aspects of catchment hydrology in particular hydrological and systems modeling, uncertainty analysis in water resourc.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Reliable quantification of available water resources is an important prerequisite for sustainable management and development. However, the data required for adequate resource estimation are usually not available due to inadequate and shrinking measurement networks. Hydrologic models are the standard tool used to generate continuous estimates of stream flow and regionalisation has been the traditional approach to model application in poorly gauged basins. The classical approach to regionalization is to calibrate against naturalized observed data, identify hydrologically similar basins, and then transfer calibrated parameter sets to the ungauged basins. One of the problems related to this approach is the relatively few basins for calibration in southern Africa (due to data quality and availability problems), resulting in huge uncertainties in the prediction process. This study proposes an a priori process to directly estimate parameters of the Pitman monthly rainfall runoff model based on physical basin characteristics. The approach is tested on selected basins in southern African.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 188 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Reliable quantification of available water resources is an important prerequisite for sustainable management and development. However, the data required for adequate resource estimation are usually not available due to inadequate and shrinking measurement networks. Hydrologic models are the standard tool used to generate continuous estimates of stream flow and regionalisation has been the traditional approach to model application in poorly gauged basins. The classical approach to regionalization is to calibrate against naturalized observed data, identify hydrologically similar basins, and then transfer calibrated parameter sets to the ungauged basins. One of the problems related to this approach is the relatively few basins for calibration in southern Africa (due to data quality and availability problems), resulting in huge uncertainties in the prediction process. This study proposes an a priori process to directly estimate parameters of the Pitman monthly rainfall runoff model based on physical basin characteristics. The approach is tested on selected basins in southern African.