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Volume 5, Issue 1
Space-Time Transfer Function-Noise Modelling of Rainfall-Runoff Process

Kazimierz Adamowski, Fadil B. Mohamed & Nicolas R. Dalezios

J. Comp. Math., 5 (1987), pp. 62-73.

Published online: 1987-05

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  • Abstract

An explanatory model class belonging to the family of Space-Time Transfer Function-Noise (STTFN) process is presented. The paper develops a three-stage iterative procedure for building STTFN models of the rainfall-runoff process. Four precipitation and runoff stations located in a watershed in southern Ontario, Canada, sampled at 15-day intervals are used for the numerical analysis. Three STTF models are identified. The model parameters are estimated by the polytope technique, a nonlinear optimization algorithm. Two of the developed space-time models proved adequate in describing the spatio-temporal characteristics of precipitation and runoff time series.

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@Article{JCM-5-62, author = {Adamowski , KazimierzMohamed , Fadil B. and Dalezios , Nicolas R.}, title = {Space-Time Transfer Function-Noise Modelling of Rainfall-Runoff Process}, journal = {Journal of Computational Mathematics}, year = {1987}, volume = {5}, number = {1}, pages = {62--73}, abstract = {

An explanatory model class belonging to the family of Space-Time Transfer Function-Noise (STTFN) process is presented. The paper develops a three-stage iterative procedure for building STTFN models of the rainfall-runoff process. Four precipitation and runoff stations located in a watershed in southern Ontario, Canada, sampled at 15-day intervals are used for the numerical analysis. Three STTF models are identified. The model parameters are estimated by the polytope technique, a nonlinear optimization algorithm. Two of the developed space-time models proved adequate in describing the spatio-temporal characteristics of precipitation and runoff time series.

}, issn = {1991-7139}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jcm/9532.html} }
TY - JOUR T1 - Space-Time Transfer Function-Noise Modelling of Rainfall-Runoff Process AU - Adamowski , Kazimierz AU - Mohamed , Fadil B. AU - Dalezios , Nicolas R. JO - Journal of Computational Mathematics VL - 1 SP - 62 EP - 73 PY - 1987 DA - 1987/05 SN - 5 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jcm/9532.html KW - AB -

An explanatory model class belonging to the family of Space-Time Transfer Function-Noise (STTFN) process is presented. The paper develops a three-stage iterative procedure for building STTFN models of the rainfall-runoff process. Four precipitation and runoff stations located in a watershed in southern Ontario, Canada, sampled at 15-day intervals are used for the numerical analysis. Three STTF models are identified. The model parameters are estimated by the polytope technique, a nonlinear optimization algorithm. Two of the developed space-time models proved adequate in describing the spatio-temporal characteristics of precipitation and runoff time series.

Adamowski , KazimierzMohamed , Fadil B. and Dalezios , Nicolas R.. (1987). Space-Time Transfer Function-Noise Modelling of Rainfall-Runoff Process. Journal of Computational Mathematics. 5 (1). 62-73. doi:
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