1973
DOI: 10.1016/0005-1098(73)90072-1
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Real time recursive prediction of river flows

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Cited by 38 publications
(4 citation statements)
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“…If hyetographs are significantly different between comparing streams, which is common in a longitudinal study with a relatively short time window, the difference in rainfall pattern should be accounted. TF model has been used for various hydrological analyses including predicting streamflow (Kashyap and Rao, 1973; Jakeman et al , 1990; Mwakalila et al , 2001), salinity (Jakeman et al , 1991) and suspended sediment concentration (Lemke, 1991), characterizing hydrological regimes in various watersheds (Post and Jakeman, 1996; Sefton and Howarth, 1998), and investigating the effect of watershed urbanization on stream hydrology (Farahmand et al , 2007).…”
Section: Methodsmentioning
confidence: 99%
“…If hyetographs are significantly different between comparing streams, which is common in a longitudinal study with a relatively short time window, the difference in rainfall pattern should be accounted. TF model has been used for various hydrological analyses including predicting streamflow (Kashyap and Rao, 1973; Jakeman et al , 1990; Mwakalila et al , 2001), salinity (Jakeman et al , 1991) and suspended sediment concentration (Lemke, 1991), characterizing hydrological regimes in various watersheds (Post and Jakeman, 1996; Sefton and Howarth, 1998), and investigating the effect of watershed urbanization on stream hydrology (Farahmand et al , 2007).…”
Section: Methodsmentioning
confidence: 99%
“…Applications of fore· casting methods to water-pollution research have been described by, for example, Kashyap and Rao (1973) and Beck (1977). In addition, a very thorough account of related modeling aspects has been given by Beck (1978), in which river water quality is specifically discussed.…”
Section: Acknowledgmentsmentioning
confidence: 99%
“…The paramet,ers of the process are, however, seldom known in practice. Prediction of unknown processes is, €or instance, dkcusscd in [:3]- [5] and 171. For unknown processes the parameters can be estimat.ed offline or in real time and then the prediction can be made using the estimated parameters instead of the true ones.…”
Section: T I Introductionmentioning
confidence: 99%