Abstract
Sediment accumulation in a river reservoir is studied by stochastic time series models and analytical approach. The first-order moving average process is found the best for the suspended sediment discharge time series of the Juniata River at Newport, Pennsylvania, USA. Synthetic suspended sediment discharges are first generated with the chosen model after which analytical expressions are derived for the expected value and variance of sediment accumulation in the reservoir. The expected value and variance of the volume of sediment accumulation in the reservoir are calculated from a thousand synthetic time series each 38 years long and compared to the analytical approach. Stochastic and analytical approaches perfectly trace the observation in terms of the expected value and variability. Therefore, it is concluded that the expected value and variance of sediment accumulation in a reservoir could be estimated by analytical expressions without the cost of synthetic data generation mechanisms.
| Original language | English |
|---|---|
| Pages (from-to) | 984-994 |
| Number of pages | 11 |
| Journal | Hydrological Sciences Journal |
| Volume | 65 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 25 Apr 2020 |
Bibliographical note
Publisher Copyright:© 2020, © 2020 IAHS.
Funding
The authors are grateful to the anonymous reviewers and Associate Editor, Dr Jesús Rodrigo-Comino, whose constructive comments improved the paper significantly. The authors thank also Asst. Prof. Halil Ibrahim Burgan, Istanbul Kultur University, and Ms Yonca Cavus, PhD candidate at Istanbul Technical University, for the figures.
| Funders | Funder number |
|---|---|
| T.C. İstanbul Kültür Üniversitesi | |
| Istanbul Teknik Üniversitesi |
Keywords
- Juniata River
- moving average model
- river reservoir
- storage volume
- suspended sediment discharge
