Application of Parzen densities to probabilistic rainfall-runoff modelling Application of Parzen densities to probabilistic rainfall-runoff modelling rainfall-runoff modelling

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Title:Application of Parzen densities to probabilistic rainfall-runoff modelling Application of Parzen densities to probabilistic rainfall-runoff modelling rainfall-runoff modelling
Creators:
Wojcik, R.; raf dot wojcik at wur dot nl; Wageningen University, Department of Environmental Science, Sub-Department Water Resources, Nieuve Kanaal II, 6709 PA, Wageningen, The Netherlands.
Torfs, P.
Warmerdam, P.
Journal or Publication Title:
Journal of Hydrology and Hydromechanics, 51, 3, pp. 175-186
Uncontrolled Keywords:Non-Linear Black Box Models, Rainfall-Runoff Process, Parzen Densities, Gaussian Kernels, Time Series Modelling

Abstract

In this paper a new black box approach for rainfall-runoff modelling at a daily scale is presented. The considered black box model is non-linear regression based on Parzen probability density function. When using only measured rainfall as an input to any black box model there is a serious problem with building in the necessary memory. A standard approach to tackle this issue is to force a black box with a large number of rainfall and runoff variables of the past. In practice however, any regression technique, will have difficulties handling so large (possibly dependent) input set. For that reason, a more hydrological approach is proposed. Two linear reservoirs are used to model the memory. The reservoir constants are found by simple piecewise linear regression. An application to the Beerze catchment in the Netherlands is shown. A good correspondence between measured and estimated runoff is achieved.

Official URL: http://147.213.145.2/vc/vc1.asp?Kod=51%2C3&B1=Submit

Title:Application of Parzen densities to probabilistic rainfall-runoff modelling Application of Parzen densities to probabilistic rainfall-runoff modelling rainfall-runoff modelling
Translated title:Aplikácia Parzenových funkcií hustôt rozdelenia pravdepodobnosti v pravdepodobnostnom zrážko-odtokovom modelovaní
Creators:
Wojcik, R.; raf dot wojcik at wur dot nl; Wageningen University, Department of Environmental Science, Sub-Department Water Resources, Nieuve Kanaal II, 6709 PA, Wageningen, The Netherlands.
Torfs, P.
Warmerdam, P.
Uncontrolled Keywords:Non-Linear Black Box Models, Rainfall-Runoff Process, Parzen Densities, Gaussian Kernels, Time Series Modelling
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Mathematics, Physics and Earth Sciences > Institute of Hydrodynamics > Journal of Hydrology and Hydromechanics
Journal or Publication Title:Journal of Hydrology and Hydromechanics
Volume:51
Number:3
Page Range:pp. 175-186
ISSN:0042-790X
Publisher:Institute of Hydrology of the Slovak Academy of Sciences and the Institute of Hydrodynamics of the Academy of Sciences of the Czech Republic
Related URLs:
URLURL Type
http://avi.lib.cas.cz/node/55Publisher
ID Code:4635
Item Type:Article
Deposited On:21 Oct 2009 18:04
Last Modified:21 Oct 2009 16:32

Citation

Wojcik, R.; Torfs, P.; Warmerdam, P. (2003) Application of Parzen densities to probabilistic rainfall-runoff modelling Application of Parzen densities to probabilistic rainfall-runoff modelling rainfall-runoff modelling. Journal of Hydrology and Hydromechanics, 51 (3). pp. 175-186. ISSN 0042-790X

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