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 - <p style="text-align: justify;">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.</p>