Comparison of Stochstic Models for Monthly Streamelow Sequences

dc.contributor.advisorTessera, Abebe(PhD)
dc.contributor.authorGebreyohannes, Emmanuel
dc.date.accessioned2018-06-25T12:14:15Z
dc.date.accessioned2023-11-09T14:29:44Z
dc.date.available2018-06-25T12:14:15Z
dc.date.available2023-11-09T14:29:44Z
dc.date.issued1994-06
dc.description.abstractIn this research, statistical work in stochastic modelling of hydrologic time series is discussed. The theme is the comparison of stationarity and non-stationarity approaches for stochastic simulation of monthly streamflow sequences. The paper first introduces various concepts related to stochastic modelling; the history of stochastic simulation and applications of stochastic modelling in hydrology; and the step-by-step modelling procedures. Then the paper describes how synthetic streamflow sequences can be generated using these procedures. As a particular case, synthetic streamflow sequences were generated for two streams in Ethiopia using both stationarity and non-stationarity approaches. At last, based on these synthetic flows, an attempt was made to compare the performance of the two approaches with some comments and recommendationsen_US
dc.identifier.urihttp://10.90.10.223:4000/handle/123456789/3248
dc.language.isoenen_US
dc.publisherAddis Abeba universityen_US
dc.subjectStreamelowen_US
dc.titleComparison of Stochstic Models for Monthly Streamelow Sequencesen_US
dc.typeThesisen_US

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