TY  - JOUR
AU  - Ivković, Marija
AU  - Todorović, Andrijana
AU  - Plavšić, Jasna
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/935
AB  - Flood forecasting relies on good quality of observed and forecasted rainfall. In Serbia, the recording rain gauge network is sparse and rainfall data mainly come from dense non-recording rain gauges. This is not beneficial for flood forecasting in smaller catchments and short-duration events, when hydrologic models operating on subdaily scale are applied. Moreover, differences in rainfall amounts from two types of gauges can be considerable, which is common in operational hydrological practice. This paper examines the possibility of including daily rainfall data from dense observation networks in flood forecasting based on subdaily data, using the extreme flood event in the Kolubara catchment in May 2014 as a case study. Daily rainfall from a dense observation network is disaggregated to hourly scale using the MuDRain multivariate disaggregation software. The disaggregation procedure results in well-reproduced rainfall dynamics and adjusts rainfall volume to the values from the non-recording gauges. The fully distributed wflow_hbv model, which is under development as a forecasting tool for the Kolubara catchment, is used for flood simulations with two alternative hourly rainfall data. The results show an improvement when the disaggregated rainfall from denser network is used, thus indicating the significance of better representation of rainfall temporal and spatial variability for flood forecasting.
T2  - Journal of Hydroinformatics
T1  - Improved input to distributed hydrologic model in areas with sparse subdaily rainfall data using multivariate daily rainfall disaggregation
EP  - 797
IS  - 4
SP  - 784
VL  - 20
DO  - 10.2166/hydro.2018.053
ER  - 

@article{
author = "Ivković, Marija and Todorović, Andrijana and Plavšić, Jasna",
year = "2018",
abstract = "Flood forecasting relies on good quality of observed and forecasted rainfall. In Serbia, the recording rain gauge network is sparse and rainfall data mainly come from dense non-recording rain gauges. This is not beneficial for flood forecasting in smaller catchments and short-duration events, when hydrologic models operating on subdaily scale are applied. Moreover, differences in rainfall amounts from two types of gauges can be considerable, which is common in operational hydrological practice. This paper examines the possibility of including daily rainfall data from dense observation networks in flood forecasting based on subdaily data, using the extreme flood event in the Kolubara catchment in May 2014 as a case study. Daily rainfall from a dense observation network is disaggregated to hourly scale using the MuDRain multivariate disaggregation software. The disaggregation procedure results in well-reproduced rainfall dynamics and adjusts rainfall volume to the values from the non-recording gauges. The fully distributed wflow_hbv model, which is under development as a forecasting tool for the Kolubara catchment, is used for flood simulations with two alternative hourly rainfall data. The results show an improvement when the disaggregated rainfall from denser network is used, thus indicating the significance of better representation of rainfall temporal and spatial variability for flood forecasting.",
journal = "Journal of Hydroinformatics",
title = "Improved input to distributed hydrologic model in areas with sparse subdaily rainfall data using multivariate daily rainfall disaggregation",
pages = "797-784",
number = "4",
volume = "20",
doi = "10.2166/hydro.2018.053"
}

Ivković, M., Todorović, A.,& Plavšić, J.. (2018). Improved input to distributed hydrologic model in areas with sparse subdaily rainfall data using multivariate daily rainfall disaggregation. in Journal of Hydroinformatics, 20(4), 784-797.
https://doi.org/10.2166/hydro.2018.053

Ivković M, Todorović A, Plavšić J. Improved input to distributed hydrologic model in areas with sparse subdaily rainfall data using multivariate daily rainfall disaggregation. in Journal of Hydroinformatics. 2018;20(4):784-797.
doi:10.2166/hydro.2018.053 .

Ivković, Marija, Todorović, Andrijana, Plavšić, Jasna, "Improved input to distributed hydrologic model in areas with sparse subdaily rainfall data using multivariate daily rainfall disaggregation" in Journal of Hydroinformatics, 20, no. 4 (2018):784-797,
https://doi.org/10.2166/hydro.2018.053 . .

TY  - JOUR
AU  - Ivković, Marija
AU  - Plavšić, Jasna
AU  - Vladiković, Dejan
AU  - Jerinić, Jelena
PY  - 2012
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/477
AB  - The SMHI\HBV model is used for runoff modelling of the Jadar River basin, for the purpose of hydrological forecasting. The Jadar River is the largest Serbian tribu­tary of the Drina River with an area of 959 km2, and is subject to frequent flooding. The HBV model is a semi-distributed conceptual model, able to simulate runoff from snowmelt and rainfall. The paper presents basic concepts of the HBV model and the process of calibra­tion and verification for the basin of the Jadar River at station Lešnica. Model performance is evaluated using the observed runoff. Satisfactory results are achieved having in mind complex topography and small number of stations with available data for realistic spatial repre­sentation of meteorological variables.
AB  - Model SMHI\HBV korišćen je za modeliranje oticaja na slivu reke Jadar radi ispitivanja mogućnosti njegovog korišćenja za prognozu poplavnih talasa. Reka Jadar je najveća pritoka reke Drine na teritoriji Srbije sa površinom od 959 km2, na kojoj postoje česti problemi sa velikim vodama i plavljenjem. Model HBV ima mogućnost modeliranja talasa prouzrokovanih naglim topljenjem snega, kao i intenzivnim kišama. Rad prikazuje osnovne postavke ovog modela, kao i proces kalibracije, verifikacije i ocene rezultata za sliv Jadra do stanice Lešnica. Postignuti su zadovoljavajući rezultati imajući u vidu kompleksnu topografiju sliva i mali broj stanica sa raspoloživim podacima za dobro predstavljanje prostorne neravnomernosti meteoroloških parametara.
PB  - Jugoslovensko društvo za odvodnjavanje i navodnjavanje, Beograd
T2  - Vodoprivreda
T1  - The implementation of the HBV model for flood forecasting in Jadar river basin
T1  - Primena modela HBV za hidrološku prognozu na slivu reke Jadar
EP  - 263
IS  - 4-6
SP  - 257
VL  - 44
UR  - https://hdl.handle.net/21.15107/rcub_grafar_477
ER  - 

@article{
author = "Ivković, Marija and Plavšić, Jasna and Vladiković, Dejan and Jerinić, Jelena",
year = "2012",
abstract = "The SMHI\HBV model is used for runoff modelling of the Jadar River basin, for the purpose of hydrological forecasting. The Jadar River is the largest Serbian tribu­tary of the Drina River with an area of 959 km2, and is subject to frequent flooding. The HBV model is a semi-distributed conceptual model, able to simulate runoff from snowmelt and rainfall. The paper presents basic concepts of the HBV model and the process of calibra­tion and verification for the basin of the Jadar River at station Lešnica. Model performance is evaluated using the observed runoff. Satisfactory results are achieved having in mind complex topography and small number of stations with available data for realistic spatial repre­sentation of meteorological variables., Model SMHI\HBV korišćen je za modeliranje oticaja na slivu reke Jadar radi ispitivanja mogućnosti njegovog korišćenja za prognozu poplavnih talasa. Reka Jadar je najveća pritoka reke Drine na teritoriji Srbije sa površinom od 959 km2, na kojoj postoje česti problemi sa velikim vodama i plavljenjem. Model HBV ima mogućnost modeliranja talasa prouzrokovanih naglim topljenjem snega, kao i intenzivnim kišama. Rad prikazuje osnovne postavke ovog modela, kao i proces kalibracije, verifikacije i ocene rezultata za sliv Jadra do stanice Lešnica. Postignuti su zadovoljavajući rezultati imajući u vidu kompleksnu topografiju sliva i mali broj stanica sa raspoloživim podacima za dobro predstavljanje prostorne neravnomernosti meteoroloških parametara.",
publisher = "Jugoslovensko društvo za odvodnjavanje i navodnjavanje, Beograd",
journal = "Vodoprivreda",
title = "The implementation of the HBV model for flood forecasting in Jadar river basin, Primena modela HBV za hidrološku prognozu na slivu reke Jadar",
pages = "263-257",
number = "4-6",
volume = "44",
url = "https://hdl.handle.net/21.15107/rcub_grafar_477"
}

Ivković, M., Plavšić, J., Vladiković, D.,& Jerinić, J.. (2012). The implementation of the HBV model for flood forecasting in Jadar river basin. in Vodoprivreda
Jugoslovensko društvo za odvodnjavanje i navodnjavanje, Beograd., 44(4-6), 257-263.
https://hdl.handle.net/21.15107/rcub_grafar_477

Ivković M, Plavšić J, Vladiković D, Jerinić J. The implementation of the HBV model for flood forecasting in Jadar river basin. in Vodoprivreda. 2012;44(4-6):257-263.
https://hdl.handle.net/21.15107/rcub_grafar_477 .

Ivković, Marija, Plavšić, Jasna, Vladiković, Dejan, Jerinić, Jelena, "The implementation of the HBV model for flood forecasting in Jadar river basin" in Vodoprivreda, 44, no. 4-6 (2012):257-263,
https://hdl.handle.net/21.15107/rcub_grafar_477 .