Comparison of Stochasic Models for Monthly Streamflow Sequences
| dc.contributor.advisor | Tessera, Dr. Abebe | |
| dc.contributor.author | Gebreyohannes, Emanuel | |
| dc.date.accessioned | 2022-01-21T12:43:45Z | |
| dc.date.accessioned | 2023-11-09T14:29:21Z | |
| dc.date.available | 2022-01-21T12:43:45Z | |
| dc.date.available | 2023-11-09T14:29:21Z | |
| 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/123456789/29540 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Monthly Streamflow Sequences | en_US |
| dc.title | Comparison of Stochasic Models for Monthly Streamflow Sequences | en_US |
| dc.type | Thesis | en_US |