U radu je sprovedena analiza prosečnog godišnjeg oticanja za Mali, neizučeni sliv Tulovske reke, u slivu Južne Morave. Primenjene su metoda Turka, metoda Langbajna i regionalni izrazi za dobijanje prosečnog oticaja. Kao ulazni podaci korišćene su srednje temperature, prosečne godišnje padavine na slivu i srednja nadmorska visina sliva. Proračuni su sprovedeni korišćenjem različitih klimatoloških ulaznih podataka, a rezultati su zatim upoređeni. Podaci o padavinama i temperaturi dobijeni su iz digitalnog repozitorijuma projekta CarpatClim u rasterskom formatu, prostorne rezolucije 10 km x 10 km. Korišćene su i vrednosti osmotrene na meteorološkim stanicama RHMZ. Razlike u vrednostima rasterskih i osmotrenih klimatoloških podataka pripisane su uticaju visinske razlike terena, koji rasterski podaci nisu bili u stanju da obuhvate. Analize su pokazale da procenjene vrednosti oticaja mogu da se razlikuju do 50% u zavisnosti od odabira metode i ulaznih podataka.
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 was attributed to the effects of terrain elevation spatial variability, not captured in the raster data. The analyses showed that the predict...ed mean runoff can differ up to 50%, depending on the chosen method and the input data.
Keywords:
srednje vode / rasterski klimatološki podaci / metoda Turka / metoda Langbajna / Mali neizučen slivovi / Turk method / small ungauged basin / raster climatological data / mean annual runoff / Langbein method
Source:
Bulletin of the Serbian Geographical Society, 2020, 100, 2, 45-66
TY - JOUR
AU - Blagojević, Jovan
AU - Blagojević, Borislava
AU - Mihailović, Vladislava
AU - Radivojević, Dragan
PY - 2020
UR - https://omorika.sfb.bg.ac.rs/handle/123456789/1096
AB - U radu je sprovedena analiza prosečnog godišnjeg oticanja za Mali, neizučeni sliv Tulovske reke, u slivu Južne Morave. Primenjene su metoda Turka, metoda Langbajna i regionalni izrazi za dobijanje prosečnog oticaja. Kao ulazni podaci korišćene su srednje temperature, prosečne godišnje padavine na slivu i srednja nadmorska visina sliva. Proračuni su sprovedeni korišćenjem različitih klimatoloških ulaznih podataka, a rezultati su zatim upoređeni. Podaci o padavinama i temperaturi dobijeni su iz digitalnog repozitorijuma projekta CarpatClim u rasterskom formatu, prostorne rezolucije 10 km x 10 km. Korišćene su i vrednosti osmotrene na meteorološkim stanicama RHMZ. Razlike u vrednostima rasterskih i osmotrenih klimatoloških podataka pripisane su uticaju visinske razlike terena, koji rasterski podaci nisu bili u stanju da obuhvate. Analize su pokazale da procenjene vrednosti oticaja mogu da se razlikuju do 50% u zavisnosti od odabira metode i ulaznih podataka.
AB - 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 was 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.
PB - Srpsko geografsko društvo, Beograd
T2 - Bulletin of the Serbian Geographical Society
T1 - Prosečno oticanje sa malog neizučenog sliva korišćenjem rasterskih klimatoloških podataka
T1 - Prediction of mean runoff in a small ungauged basin using raster climatological data
EP - 66
IS - 2
SP - 45
VL - 100
DO - 10.2298/GSGD2002045B
UR - conv_1980
ER -
@article{
author = "Blagojević, Jovan and Blagojević, Borislava and Mihailović, Vladislava and Radivojević, Dragan",
year = "2020",
abstract = "U radu je sprovedena analiza prosečnog godišnjeg oticanja za Mali, neizučeni sliv Tulovske reke, u slivu Južne Morave. Primenjene su metoda Turka, metoda Langbajna i regionalni izrazi za dobijanje prosečnog oticaja. Kao ulazni podaci korišćene su srednje temperature, prosečne godišnje padavine na slivu i srednja nadmorska visina sliva. Proračuni su sprovedeni korišćenjem različitih klimatoloških ulaznih podataka, a rezultati su zatim upoređeni. Podaci o padavinama i temperaturi dobijeni su iz digitalnog repozitorijuma projekta CarpatClim u rasterskom formatu, prostorne rezolucije 10 km x 10 km. Korišćene su i vrednosti osmotrene na meteorološkim stanicama RHMZ. Razlike u vrednostima rasterskih i osmotrenih klimatoloških podataka pripisane su uticaju visinske razlike terena, koji rasterski podaci nisu bili u stanju da obuhvate. Analize su pokazale da procenjene vrednosti oticaja mogu da se razlikuju do 50% u zavisnosti od odabira metode i ulaznih podataka., 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 was 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.",
publisher = "Srpsko geografsko društvo, Beograd",
journal = "Bulletin of the Serbian Geographical Society",
title = "Prosečno oticanje sa malog neizučenog sliva korišćenjem rasterskih klimatoloških podataka, Prediction of mean runoff in a small ungauged basin using raster climatological data",
pages = "66-45",
number = "2",
volume = "100",
doi = "10.2298/GSGD2002045B",
url = "conv_1980"
}
Blagojević, J., Blagojević, B., Mihailović, V.,& Radivojević, D.. (2020). Prosečno oticanje sa malog neizučenog sliva korišćenjem rasterskih klimatoloških podataka. in Bulletin of the Serbian Geographical Society
Srpsko geografsko društvo, Beograd., 100(2), 45-66.
https://doi.org/10.2298/GSGD2002045B
conv_1980
Blagojević J, Blagojević B, Mihailović V, Radivojević D. Prosečno oticanje sa malog neizučenog sliva korišćenjem rasterskih klimatoloških podataka. in Bulletin of the Serbian Geographical Society. 2020;100(2):45-66.
doi:10.2298/GSGD2002045B
conv_1980 .
Blagojević, Jovan, Blagojević, Borislava, Mihailović, Vladislava, Radivojević, Dragan, "Prosečno oticanje sa malog neizučenog sliva korišćenjem rasterskih klimatoloških podataka" in Bulletin of the Serbian Geographical Society, 100, no. 2 (2020):45-66,
https://doi.org/10.2298/GSGD2002045B .,
conv_1980 .
