Evaluation of Statistical Methods for Estimating Missing Daily Streamflow Data
| Autor: | Bihrat Önöz, Mustafa Utku Yilmaz |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
geography
geography.geographical_feature_category Porsuk River Basin Drainage basin Streamflow Estimation İnşaat Mühendisliği Missing data Civil Engineering Regression Standard deviation Missing Data missing data Porsuk River basin regression streamflow estimation Streamflow Statistics Estimation methods Nonlinear regression Mathematics |
| Zdroj: | Volume: 30, Issue: 6 9597-9620 Teknik Dergi |
| ISSN: | 1300-3453 |
| Popis: | In this study, it was aimed to investigate the applicability of various statistical estimation methods for the Porsuk River basin, which has sparse streamflow observations. Estimations were performed using regression analysis (REG), the single donor station based drainage area ratio (DAR), the multiple donor stations based drainage area ratio (MDAR), standardization with mean (SM), standardization with mean and standard deviation (SMS), inverse distance weighted (IDW) methods. Two separate studies were conducted for both partially missing data and completely missing data. In order to estimate streamflow statistics for use in SM and SMS methods, logarithmic regression equations were suggested. The promising results obtained from ensemble approaches will provide a significant hydrological contribution to streamflow estimations. |
| Databáze: | OpenAIRE |
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