"In this paper it is shown that the annual runoff series of those Italian basins, for which the variation in storage volume from one year to the next is negligible are appropriately represented as an essentially uncorrelated white noise process. For basins with non negligible contributions from deep aquifers, a correlated AR(1) component added to the white noise gives an ARMA (1,1) process. The cubic root transformation simulateously achieves normality and constant varince of the series. Therefore for ungauged rivers, to identify the white noise component it is sufficient to estimate the mean annual runoff, while the AR(1) component may be identified from the flow recession curve."
Analysis of annual runoff series
ROSSI, Fabio;
1980-01-01
Abstract
"In this paper it is shown that the annual runoff series of those Italian basins, for which the variation in storage volume from one year to the next is negligible are appropriately represented as an essentially uncorrelated white noise process. For basins with non negligible contributions from deep aquifers, a correlated AR(1) component added to the white noise gives an ARMA (1,1) process. The cubic root transformation simulateously achieves normality and constant varince of the series. Therefore for ungauged rivers, to identify the white noise component it is sufficient to estimate the mean annual runoff, while the AR(1) component may be identified from the flow recession curve."I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
