Abstract
Generating pulses and then converting them into flow are two main steps of daily streamflow generation. Three pulse generation models have been proposed on the basis of Markov chains for the purpose of generating daily intermittent streamflow time series in this study. The first one is based on two two-state Markov chains, whereas the second uses a three-state Markov chain. The third model uses harmonic analysis and fits Fourier series to the three-state Markov chain. Results for a daily intermittent streamflow data series show a good performance of the proposed models.
| Original language | English |
|---|---|
| Pages (from-to) | 399-411 |
| Number of pages | 13 |
| Journal | Hydrological Sciences Journal |
| Volume | 49 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Jun 2004 |
Funding
Acknowledgements This study, partially supported by the Research Fund of Istanbul Technical University, is based on the author’s PhD thesis supervised by Prof. M. Bayazit, whom the author sincerely thanks. The author wishes to extend his thanks to the reviewers for their helpful comments.
| Funders | Funder number |
|---|---|
| Istanbul Teknik Üniversitesi |
Keywords
- Daily streamflow
- Fourier series
- Intermittent stream
- Markov chain
- Pulse
- Streamflow generation