GIS Based Estimation of Sediment Discharge and Areas of Soil Erosion and Deposition for the Torrential Lukovska River Catchment in Serbia

Đukić, Vesna; Radić, Zoran

doi:10.1007/s11269-014-0751-7

Cited by 11 publications

(3 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By way of comparison, the model developed for the Topčiderska River basin [6], which is hydrologically better studied and gauged and it is situated in peri-urban area (macro region of Serbian capital, Belgrade), the average coefficient of determination for simulated flood events is 0.9. Also, in other studies [13], [15], a high agreement between the modelled and the recorded hydrographs in hydrological simulations is reached.…”

Section: Resultssupporting

confidence: 62%

“…For further development of the watershed Toplica/Magovo model, the input files were supposed to be fed with the specific parameters listed in From the listed parameters, there are parameters which greatly influence the runoff output, so these are taken for the model sensitivity and calibration. According to the previous research [6], [13], [14], the characteristics of runoff hydrographs, i.e. slope of growth and recession branches and peak of hydrograph are very sensitive to the values of the vertical saturated hydraulic conductivity of the subsurface soil (Ks), horizontal saturated hydraulic conductivity in the saturated zone (Kr), the Strickler's coefficients for overland flow for different types of land use (inverse of Manning's roughness coefficient) (So) and the Strickler's coefficients for river network (Sr).…”

Section: Establishment Of the Toplica/magovo Watershed Modelmentioning

confidence: 99%

See 1 more Smart Citation

Hydrological Model of the Toplica Watershed in Addressing New Chaln Lenges in Flood Risk Assessment

Petrović¹,

Đukić²,

Radić³

2021

Proceedings 2021

Self Cite

View full text Add to dashboard Cite

Torrential floods are hydrological natural hazards by nature of their occurrence, but with a high scale of severe damages to the facilities and infrastructure and a high number of casualties in human populated environment, they can become a natural disaster. In addition, they cause more or less significant environmental changes, such as geomorphological damages to river banks and river channels. In enhancing the existing capabilities of flash flood risk management for meso-and small-scale basins, building a hydrological model for a specific watershed is of great significance. In this paper, a hydrological model is created using the Shetran hydrological software for the upper part of the Toplica River basin located on the eastern slopes of Mount Kopaonik in Southern Serbia. The watershed model is based on extreme rainfall events and involves a large dataset of natural characteristics (relief, geological terrain, soil, vegetation and microclimate) and land use factor in the calculation of torrential flood occurrence. Shetran is used to enable the transformation of rainfall in the runoff with the aim of getting simulated flood hydrographs that correspond with the registered hydrographs as much as possible. Model-sensitive parameters are determined and subsequently calibrated and validated. The average coefficient of determination for the watershed model of the Toplica River/ profile Magovo when registered and modelled hourly discharges are compared reaches 0.87, showing a good precision so that it can be useful in torrential flood forecasting.

show abstract

Section: Resultssupporting

confidence: 62%

Section: Establishment Of the Toplica/magovo Watershed Modelmentioning

confidence: 99%

Hydrological Model of the Toplica Watershed in Addressing New Chaln Lenges in Flood Risk Assessment

Petrović¹,

Đukić²,

Radić³

2021

Proceedings 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…Through numerous simulations it was concluded that the Strickler′s coefficients for overland flow and for river flow, the vertical saturated hydraulic conductivity of the subsurface soil and the saturated water content had an important effect on the size of overland flow. It was also concluded that the values of base flow were dependant on the horizontal saturated hydraulic conductivity in the saturated zone (Đukić and Radić, 2014;Đukić and Radić, 2016). The preliminary values of model parameters used in model calibration were determined from the literature (Table 3) and are presented in the Table 1.…”

Section: Calibration and Validation Of The Shetran Modelmentioning

confidence: 99%

Spatio-temporal analysis of remotely sensed and hydrological model soil moisture in the small Jičinka River catchment in Czech Republic

Đukić

Erić

Dumbrovský

et al. 2021

Journal of Hydrology and Hydromechanics

Self Cite

View full text Add to dashboard Cite

The knowledge of spatio-temporal dynamics of soil moisture within the catchment is very important for rainfall–runoff modelling in flood forecasting. In this study the comparison between remotely sensed soil moisture and soil moisture estimated from the SHETRAN hydrological model was performed for small and flashy Jičinka River catchment (75.9 km2) in the Czech Republic. Due to a relatively coarse spatial resolution of satellite data, the satellite soil moisture data were downscaled, by applying the method developed by Qu et al. (2015). The sub-grid variability of soil moisture was estimated on the basis of the mean soil moisture for the grid cell and the known hydraulic soil properties. The SHETRAN model was calibrated and verified to the observed streamflow hydrographs at the catchment outlet. The good correlation between the two different soil moisture information was obtained according to the majority of applied criteria. The results of the evaluation criteria indicate that the downscaled remotely sensed soil moisture data can be used as additional criteria for the calibration and validation of hydrological models for small catchments and can contribute to a better estimation of parameters, to reduce uncertainties of hydrological models and improve runoff simulations.

show abstract

Multitemporal Monitoring of Land Degradation Risk Due to Soil Loss in a Fire-Prone Mediterranean Landscape Using Multi-decadal Landsat Imagery

Mallinis

Gitas

Tasionas

et al. 2016

Water Resour Manage

View full text Add to dashboard Cite

GIS Based Estimation of Sediment Discharge and Areas of Soil Erosion and Deposition for the Torrential Lukovska River Catchment in Serbia

Cited by 11 publications

References 23 publications

Hydrological Model of the Toplica Watershed in Addressing New Chaln Lenges in Flood Risk Assessment

Hydrological Model of the Toplica Watershed in Addressing New Chaln Lenges in Flood Risk Assessment

Spatio-temporal analysis of remotely sensed and hydrological model soil moisture in the small Jičinka River catchment in Czech Republic

Multitemporal Monitoring of Land Degradation Risk Due to Soil Loss in a Fire-Prone Mediterranean Landscape Using Multi-decadal Landsat Imagery

Contact Info

Product

Resources

About