Prediction of mean runoff in a small ungauged basin using raster climatological data
An analysis of mean annual runoff was conducted for a small ungauged catchment of the Tulovska River in the South Morava River Basin. Langbein’s method, Turk’s method and regional regression models were applied for obtaining the mean runoff. Long-term mean temperature, annual precipitation...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Serbian Geographical Society
2020-01-01
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| Series: | Glasnik Srpskog Geografskog Društva |
| Subjects: | |
| Online Access: | http://www.doiserbia.nb.rs/img/doi/0350-3593/2020/0350-35932002045B.pdf |
| Summary: | An analysis of mean annual runoff was conducted for a small ungauged
catchment of the Tulovska River in the South Morava River Basin. Langbein’s
method, Turk’s method and regional regression models were applied for
obtaining the mean runoff. Long-term mean temperature, annual precipitation
and the mean catchment elevation are used as input data. The estimations
were conducted using various sources of climatological input data and the
results were then compared. Precipitation and temperature data were derived,
in a 10 km x 10 km resolution raster data format, from the digital data
repository of the CarpatClim project. Point measurements of temperature and
precipitation by the Republic Hydrometeorological Service of Serbia were
also used as input data and compared with the raster data. The difference
between the raster and point meteorological data were attributed to the
effects of terrain elevation spatial variability, not captured in the raster
data. The analyses showed that the predicted mean runoff can differ up to
50%, depending on the chosen method and the input data. |
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| ISSN: | 0350-3593 2406-078X |