Physically based parameter estimation methods for hydrological models: Revised calibration and application procedures for the Pitman monthly rainfall-runoff model in southern African basins - Couverture souple

Kapangaziwiri, Evison

 
9783844387377: Physically based parameter estimation methods for hydrological models: Revised calibration and application procedures for the Pitman monthly rainfall-runoff model in southern African basins
Couverture souple
ISBN 10 : 3844387374 ISBN 13 : 9783844387377
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

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.

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Présentation de l'éditeur

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.

Biographie de l'auteur

Dr. 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 resources assessments and integrated water resources management. He is currently a researcher with CSIR, South Africa.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3844387374
ISBN 13 
9783844387377
Reliure
Broché
Nombre de pages
188
Coordonnées du fabricant
non disponible
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