In this paper the problem of the introduction of the nonlinearity, inherent in catchment response to rainfall, in transfer function noise models is dealt. For this purpose the possibility to use, as a further input in the rainfall-runoff process, the intervention variable or the PERLOG function is investigated. Hourly experimental data relative to a part (934 km2) of the Upper Tiber River basin have been used. By comparing the flow forecasts up to 9 hours ahead carried out at a two fixed time origins near the beginning of the hydrograph rising limb, it follows that in these conditions the intervention methodology is a little more reliable than the PERLOG one. However, the intervention methodology does not give an essential improvement as that based only on the cumulated rainfall; instead we have a great sensitivity of the forecast at the time origin in which it is carried out.
Flow forecast by stochastic transfer function noise models with different inputs
CORRADINI, Corrado;
1983
Abstract
In this paper the problem of the introduction of the nonlinearity, inherent in catchment response to rainfall, in transfer function noise models is dealt. For this purpose the possibility to use, as a further input in the rainfall-runoff process, the intervention variable or the PERLOG function is investigated. Hourly experimental data relative to a part (934 km2) of the Upper Tiber River basin have been used. By comparing the flow forecasts up to 9 hours ahead carried out at a two fixed time origins near the beginning of the hydrograph rising limb, it follows that in these conditions the intervention methodology is a little more reliable than the PERLOG one. However, the intervention methodology does not give an essential improvement as that based only on the cumulated rainfall; instead we have a great sensitivity of the forecast at the time origin in which it is carried out.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
