Determining the Mean Sediment Discharge Using Mathematical Models to Estimate Sediment for Reconstruction of Statistical Defects (Case Study: Neka)
Hydrometer and sediment data is very important in hydrology researches but the existence of statistical defects cause to decrease precision and accuracy of evaluations. Hydrometer station of Neka in sediment measuring has 8 years defects in sediment data from the establishment time until two years a...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | fas |
| Published: |
Razi University
2014-11-01
|
| Series: | جغرافیا و پایداری محیط |
| Subjects: | |
| Online Access: | https://ges.razi.ac.ir/article_246_1b244c419ae522af16c90136d363dc97.pdf?lang=en |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Hydrometer and sediment data is very important in hydrology researches but the existence of statistical defects cause to decrease precision and accuracy of evaluations. Hydrometer station of Neka in sediment measuring has 8 years defects in sediment data from the establishment time until two years ago (1969-2011). In these study three equations of Toffaleti, Bagnold and Brox was used to determine the mean sediment linear equation. Among these three equations Toffaleti, Bagnold and Brox with correlation equation of 0.63, 0.49 and 0.38 respectively and Nash–Sutcliffe coefficient of 0.75, 0.32 and 0.86 were the best sediment estimation method for Neka stream. The best equation were y = 2.4756x – 146.15 forToffaleti y = 1.9555x + 168.78 for Bagnold and y = 1.619x + 269.2 for Brox. Results showed that althoughToffaleti equation uses the different factors in estimation and is more complex and difficult as compared to statistical methods but is more accurate and is the suitable alternative in reconstruction of sediment statistical defects beside the common statistical methods |
|---|---|
| ISSN: | 2322-3197 2676-5683 |