Titre :
|
Estimation of catchment rainfall uncertainty and its influence on runoff prediction
|
Auteurs :
|
B. Storm ;
K. Jensen ;
TECHNICAL UNIVERSITY OF DENMARK LYNGBY DNK ;
J. Refsgaard
|
Type de document :
|
article/chapitre/communication
|
Année de publication :
|
1989
|
Format :
|
p. 77-88
|
Langues:
|
= Anglais
|
Catégories :
|
HYDROLOGIE ET HYDRAULIQUE
|
Mots-clés:
|
PLUVIOMETRIE
;
PREVISION DES PLUIES
;
PREVISION EN TEMPS REEL
;
ECOULEMENT
;
MODELE PLUIE DEBIT
;
KRIGEAGE
|
Résumé :
|
Interpolation of spatially varying point precipitation depths introduces uncertainties in the estimated mean areal precipitation (MAP). This paper describes a geostatistical approach -the Kriging method- to calculate the daily MAP on real-time basis. The procedure provides a linear unbiased estimate with minimum estimation variance. The structural analysis of the random precipitation field is automatized by relating the time-varying semivariogram model to the sample variance. This is illustrated on data from a Danish IHD catchment. The conceptual rainfall-rainoff model NAM incorporated into a Kalman-filter algorithm is applied to investigate the effects of uncertainties in MAP on the runoff predictions. Measurement and processing errors are not included in the investigation.
|
Source :
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Nordic hydrology, vol. 19
|