Comparison of Stochstic Models for Monthly Streamelow Sequences
dc.contributor.advisor | Tessera, Abebe(PhD) | |
dc.contributor.author | Gebreyohannes, Emmanuel | |
dc.date.accessioned | 2018-06-25T12:14:15Z | |
dc.date.accessioned | 2023-11-09T14:29:44Z | |
dc.date.available | 2018-06-25T12:14:15Z | |
dc.date.available | 2023-11-09T14:29:44Z | |
dc.date.issued | 1994-06 | |
dc.description.abstract | In 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 recommendations | en_US |
dc.identifier.uri | http://10.90.10.223:4000/handle/123456789/3248 | |
dc.language.iso | en | en_US |
dc.publisher | Addis Abeba university | en_US |
dc.subject | Streamelow | en_US |
dc.title | Comparison of Stochstic Models for Monthly Streamelow Sequences | en_US |
dc.type | Thesis | en_US |