Stochastic analysis of monthly streamflows

E. M. Lungu, F. T.K. Sefe

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


Monthly runoff sequences from catchments in southeastern Botswana were subjected to stochastic analysis. It was found that the stochastic component accounted for 63-80% of the variance in the log-transformed monthly runoff sequences. The stochastic component behaved as an autoregressive process of order 3, i.e. AR(3) for all the stations and was found to be greatly dominated by first-order persistence trends with the first-order autoregressive parameters ranging from 0.54 to 0.96. The contribution of higher-order persistence terms, by contrast, was found to be fairly uniform for all the stations. Total monthly runoff sequences, on the other hand, behaved as an integrated moving average process (IMA(0,1,2)) for all the stations. This model performed satisfactorily for forecasting total monthly flows for up to 12 months lead time.

Original languageEnglish
Pages (from-to)171-182
Number of pages12
JournalJournal of Hydrology
Issue number3-4
Publication statusPublished - Sept 1991

All Science Journal Classification (ASJC) codes

  • Water Science and Technology


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