TY  - JOUR
AU  - Blagojević, Borislava
AU  - Mihailović, Vladislava
AU  - Bogojević, Aleksandar
AU  - Plavšić, Jasna
PY  - 2023
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3150
AB  - Changes in the hydrological regime are widely investigated using a variety of approaches. In this study, we assess changes in annual and seasonal flow characteristics based on a probabilistic representation of the seasonal runoff regime at the daily time scale. The probabilistic seasonal runoff pattern is constructed by determining quantiles from marginal distributions of daily flows for each day within the year. By applying Fourier transformation on the statistics of the daily flow partial series, we obtain smooth periodical functions of distribution parameters over the year and consequently of the quantiles. The main findings are based on the comparison of the dry, average, and wet hydrologic condition zones as defined by the daily flow quantiles of selected probabilities. This analysis was conducted for ten catchments in Serbia by considering changes between two 30-year nonoverlapping periods, 1961–1990 and 1991–2020. It was found that the relative change in runoff volume is the most pronounced in the extreme dry condition zone in the winter season (−33% to 34%). The annual time shift is the largest in the dry and average condition zones, ranging from −11 to 12 days. The applied methodology is not only applicable to the detection of hydrologic change, but could also be used in operational hydrology and extreme flow studies via drought indices such as the Standardized Streamflow Index.
T2  - Water, MDPI
T1  - Detecting annual and seasonal hydrological change using marginal distributions of daily flows
SP  - 2919
VL  - 15
DO  - 10.3390/w15162919
ER  - 

@article{
author = "Blagojević, Borislava and Mihailović, Vladislava and Bogojević, Aleksandar and Plavšić, Jasna",
year = "2023",
abstract = "Changes in the hydrological regime are widely investigated using a variety of approaches. In this study, we assess changes in annual and seasonal flow characteristics based on a probabilistic representation of the seasonal runoff regime at the daily time scale. The probabilistic seasonal runoff pattern is constructed by determining quantiles from marginal distributions of daily flows for each day within the year. By applying Fourier transformation on the statistics of the daily flow partial series, we obtain smooth periodical functions of distribution parameters over the year and consequently of the quantiles. The main findings are based on the comparison of the dry, average, and wet hydrologic condition zones as defined by the daily flow quantiles of selected probabilities. This analysis was conducted for ten catchments in Serbia by considering changes between two 30-year nonoverlapping periods, 1961–1990 and 1991–2020. It was found that the relative change in runoff volume is the most pronounced in the extreme dry condition zone in the winter season (−33% to 34%). The annual time shift is the largest in the dry and average condition zones, ranging from −11 to 12 days. The applied methodology is not only applicable to the detection of hydrologic change, but could also be used in operational hydrology and extreme flow studies via drought indices such as the Standardized Streamflow Index.",
journal = "Water, MDPI",
title = "Detecting annual and seasonal hydrological change using marginal distributions of daily flows",
pages = "2919",
volume = "15",
doi = "10.3390/w15162919"
}

Blagojević, B., Mihailović, V., Bogojević, A.,& Plavšić, J.. (2023). Detecting annual and seasonal hydrological change using marginal distributions of daily flows. in Water, MDPI, 15, 2919.
https://doi.org/10.3390/w15162919

Blagojević B, Mihailović V, Bogojević A, Plavšić J. Detecting annual and seasonal hydrological change using marginal distributions of daily flows. in Water, MDPI. 2023;15:2919.
doi:10.3390/w15162919 .

Blagojević, Borislava, Mihailović, Vladislava, Bogojević, Aleksandar, Plavšić, Jasna, "Detecting annual and seasonal hydrological change using marginal distributions of daily flows" in Water, MDPI, 15 (2023):2919,
https://doi.org/10.3390/w15162919 . .

TY  - JOUR
AU  - Srejić, Tanja
AU  - Manojlović, Sanja
AU  - Sibinović, Mikica
AU  - Bajat, Branislav
AU  - Novković, Ivan
AU  - Milošević, V.Marko
AU  - Carević, Ivana
AU  - Todosijević, Mirjana
AU  - Sedlak, G.Marko
PY  - 2023
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3079
AB  - The erosion potential model was applied to estimate the soil erosion status of rural settlements during the years 1971 and 2011. We used univariate and bivariate local Moran’s I indices to detect and visualize the spatial clustering of settlements with respect to changes in erosion intensity and agricultural land use, as well as their mutual spatial correlation. The study area was differentiated into four statistically significant clusters using the calculated bivariate local Moran’s I indices. The statistical analysis examined the two largest clusters, i.e., the high–high and low–low clusters, and the results of the research indicate that the first four principal components explained 70.50% and 73.47% of the total variance, respectively. In the high–high cluster, the low rates of erosion reduction (average Index Z = 98) in the most significant types of rural settlements were determined according to demographic indicators (i.e., the higher population vitality and population density, the smaller share of the old population and the lower average age of the population) and the large proportion of arable land and Neogene sediments. In the low–low cluster, high erosion reduction rates were detected (average index Z = 64). In this cluster, the more statistically significant influence of natural conditions in combination with demographic–agrarian processes (i.e., the larger share of the old population, the higher average age of the population, the lower vitality index and deagrarization) were decisive factors in changing erosion intensity.
PB  - MDPI
T2  - Agriculture
T1  - Agricultural Land Use Changes as a Driving Force of Soil Erosion in the Velika Morava River Basin, Serbia
IS  - 4
VL  - 13
DO  - 10.3390/agriculture13040778
ER  - 

@article{
author = "Srejić, Tanja and Manojlović, Sanja and Sibinović, Mikica and Bajat, Branislav and Novković, Ivan and Milošević, V.Marko and Carević, Ivana and Todosijević, Mirjana and Sedlak, G.Marko",
year = "2023",
abstract = "The erosion potential model was applied to estimate the soil erosion status of rural settlements during the years 1971 and 2011. We used univariate and bivariate local Moran’s I indices to detect and visualize the spatial clustering of settlements with respect to changes in erosion intensity and agricultural land use, as well as their mutual spatial correlation. The study area was differentiated into four statistically significant clusters using the calculated bivariate local Moran’s I indices. The statistical analysis examined the two largest clusters, i.e., the high–high and low–low clusters, and the results of the research indicate that the first four principal components explained 70.50% and 73.47% of the total variance, respectively. In the high–high cluster, the low rates of erosion reduction (average Index Z = 98) in the most significant types of rural settlements were determined according to demographic indicators (i.e., the higher population vitality and population density, the smaller share of the old population and the lower average age of the population) and the large proportion of arable land and Neogene sediments. In the low–low cluster, high erosion reduction rates were detected (average index Z = 64). In this cluster, the more statistically significant influence of natural conditions in combination with demographic–agrarian processes (i.e., the larger share of the old population, the higher average age of the population, the lower vitality index and deagrarization) were decisive factors in changing erosion intensity.",
publisher = "MDPI",
journal = "Agriculture",
title = "Agricultural Land Use Changes as a Driving Force of Soil Erosion in the Velika Morava River Basin, Serbia",
number = "4",
volume = "13",
doi = "10.3390/agriculture13040778"
}

Srejić, T., Manojlović, S., Sibinović, M., Bajat, B., Novković, I., Milošević, V.Marko, Carević, I., Todosijević, M.,& Sedlak, G.Marko. (2023). Agricultural Land Use Changes as a Driving Force of Soil Erosion in the Velika Morava River Basin, Serbia. in Agriculture
MDPI., 13(4).
https://doi.org/10.3390/agriculture13040778

Srejić T, Manojlović S, Sibinović M, Bajat B, Novković I, Milošević V, Carević I, Todosijević M, Sedlak G. Agricultural Land Use Changes as a Driving Force of Soil Erosion in the Velika Morava River Basin, Serbia. in Agriculture. 2023;13(4).
doi:10.3390/agriculture13040778 .

Srejić, Tanja, Manojlović, Sanja, Sibinović, Mikica, Bajat, Branislav, Novković, Ivan, Milošević, V.Marko, Carević, Ivana, Todosijević, Mirjana, Sedlak, G.Marko, "Agricultural Land Use Changes as a Driving Force of Soil Erosion in the Velika Morava River Basin, Serbia" in Agriculture, 13, no. 4 (2023),
https://doi.org/10.3390/agriculture13040778 . .

TY  - CONF
AU  - Marinković, Snežana
AU  - Ignjatović, Ivan
AU  - Tošić, Nikola
AU  - Dragaš, Jelena
AU  - Carević, Vedran
PY  - 2021
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2436
AB  - During the last decade, a comprehensive experimental and numerical research on various sustainable concrete options for application in concrete structures was performed at the Faculty of Civil Engineering, University of Belgrade. Several types of green concrete mix designs were investigated: recycled aggregate concrete (RAC), high-volume fly ash concrete (HVFAC), alkali activated fly ash concrete (AAFAC) as well as their combinations. Numerous tests on material physical, mechanical and durability related properties were conducted as well as sustainability assessments of the structural use of such concretes. Structural behavior under short and long-term loading was investigated on full-scale reinforced concrete beams and recommendations for the design of structural members including strength, serviceability and durability were proposed. The work carried out by the group formed a significant part of the basis for RAC provisions in the new Eurocode 2-revision and the fib Model Code 2020.
PB  - Departman za građevinarstvo i geodeziju, Fakultet tehničkih nauka, Novi Sad
C3  - 15th international scientific conference INDIS, planning, design, construction and building renewal
T1  - Sustainable solutions for structural concrete – research conducted by Belgrade’s concrete structures research group over the last decade
EP  - 31
SP  - 2
UR  - https://hdl.handle.net/21.15107/rcub_grafar_2436
ER  - 

@conference{
author = "Marinković, Snežana and Ignjatović, Ivan and Tošić, Nikola and Dragaš, Jelena and Carević, Vedran",
year = "2021",
abstract = "During the last decade, a comprehensive experimental and numerical research on various sustainable concrete options for application in concrete structures was performed at the Faculty of Civil Engineering, University of Belgrade. Several types of green concrete mix designs were investigated: recycled aggregate concrete (RAC), high-volume fly ash concrete (HVFAC), alkali activated fly ash concrete (AAFAC) as well as their combinations. Numerous tests on material physical, mechanical and durability related properties were conducted as well as sustainability assessments of the structural use of such concretes. Structural behavior under short and long-term loading was investigated on full-scale reinforced concrete beams and recommendations for the design of structural members including strength, serviceability and durability were proposed. The work carried out by the group formed a significant part of the basis for RAC provisions in the new Eurocode 2-revision and the fib Model Code 2020.",
publisher = "Departman za građevinarstvo i geodeziju, Fakultet tehničkih nauka, Novi Sad",
journal = "15th international scientific conference INDIS, planning, design, construction and building renewal",
title = "Sustainable solutions for structural concrete – research conducted by Belgrade’s concrete structures research group over the last decade",
pages = "31-2",
url = "https://hdl.handle.net/21.15107/rcub_grafar_2436"
}

Marinković, S., Ignjatović, I., Tošić, N., Dragaš, J.,& Carević, V.. (2021). Sustainable solutions for structural concrete – research conducted by Belgrade’s concrete structures research group over the last decade. in 15th international scientific conference INDIS, planning, design, construction and building renewal
Departman za građevinarstvo i geodeziju, Fakultet tehničkih nauka, Novi Sad., 2-31.
https://hdl.handle.net/21.15107/rcub_grafar_2436

Marinković S, Ignjatović I, Tošić N, Dragaš J, Carević V. Sustainable solutions for structural concrete – research conducted by Belgrade’s concrete structures research group over the last decade. in 15th international scientific conference INDIS, planning, design, construction and building renewal. 2021;:2-31.
https://hdl.handle.net/21.15107/rcub_grafar_2436 .

Marinković, Snežana, Ignjatović, Ivan, Tošić, Nikola, Dragaš, Jelena, Carević, Vedran, "Sustainable solutions for structural concrete – research conducted by Belgrade’s concrete structures research group over the last decade" in 15th international scientific conference INDIS, planning, design, construction and building renewal (2021):2-31,
https://hdl.handle.net/21.15107/rcub_grafar_2436 .

TY  - JOUR
AU  - Polovina, Siniša
AU  - Radić, Boris
AU  - Ristić, Ratko
AU  - Kovačević, Jovan
AU  - Milčanović, Vukašin
AU  - Živanović, Nikola
PY  - 2021
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2357
AB  - Soil erosion is a global problem that negatively affects the quality of the environment, the availability of natural resources, as well as the safety of inhabitants. Soil erosion threatens the functioning of urban areas, which was the reason for choosing the territory of the Master Plan of Belgrade (Serbia) as the research area. The calculation of soil erosion loss was analyzed using the G2 erosion model. The model belongs to a group of empirical models and is based on the synthesis of the equation from the Revised Universal Soil Loss Equation (RUSLE) and the Erosion Potential Method (EPM). The estimation of soil degradation was analyzed in two time periods (2001 and 2019), which represent the time boundaries of the management of the Master Plan of Belgrade. The novel approach used in this research is based on using the land cover inventory as a dynamic indicator of the urbanization process. Land cover was identified using remote sensing, machine learning techniques, and the random forest algorithm applied to multispectral satellite images of the Landsat mission in combination with spectral indices. Climatic parameters were analyzed on the basis of data from meteorological stations (first scenario, i.e., 2001), as well as on simulations of changes based on climate scenario RCP8.5 (representative concentration pathways) concerning the current condition of the land cover (second scenario). A comparative analysis of the two time periods identified a slight reduction in total soil loss. For the first period, the average soil loss value is 4.11 t·ha−1·y−1. The analysis of the second period revealed an average value of 3.63 t·ha−1·y−1. However, the increase in non-porous surfaces has led to a change in the focus of soil degradation. Increased average soil loss as one of the catalysts of torrential flood frequencies registered on natural and semi-natural areas were 43.29% and 16.14%, respectively. These results are a significant contribution to the study of soil erosion in urban conditions under the impact of climate change.
PB  - MDPI
T2  - Applied Sciences
T1  - Soil Erosion Assessment and Prediction in Urban Landscapes: A New G2 Model Approach
IS  - 9
SP  - 4154
VL  - 11
DO  - https://doi.org/10.3390/app11094154
ER  - 

@article{
author = "Polovina, Siniša and Radić, Boris and Ristić, Ratko and Kovačević, Jovan and Milčanović, Vukašin and Živanović, Nikola",
year = "2021",
abstract = "Soil erosion is a global problem that negatively affects the quality of the environment, the availability of natural resources, as well as the safety of inhabitants. Soil erosion threatens the functioning of urban areas, which was the reason for choosing the territory of the Master Plan of Belgrade (Serbia) as the research area. The calculation of soil erosion loss was analyzed using the G2 erosion model. The model belongs to a group of empirical models and is based on the synthesis of the equation from the Revised Universal Soil Loss Equation (RUSLE) and the Erosion Potential Method (EPM). The estimation of soil degradation was analyzed in two time periods (2001 and 2019), which represent the time boundaries of the management of the Master Plan of Belgrade. The novel approach used in this research is based on using the land cover inventory as a dynamic indicator of the urbanization process. Land cover was identified using remote sensing, machine learning techniques, and the random forest algorithm applied to multispectral satellite images of the Landsat mission in combination with spectral indices. Climatic parameters were analyzed on the basis of data from meteorological stations (first scenario, i.e., 2001), as well as on simulations of changes based on climate scenario RCP8.5 (representative concentration pathways) concerning the current condition of the land cover (second scenario). A comparative analysis of the two time periods identified a slight reduction in total soil loss. For the first period, the average soil loss value is 4.11 t·ha−1·y−1. The analysis of the second period revealed an average value of 3.63 t·ha−1·y−1. However, the increase in non-porous surfaces has led to a change in the focus of soil degradation. Increased average soil loss as one of the catalysts of torrential flood frequencies registered on natural and semi-natural areas were 43.29% and 16.14%, respectively. These results are a significant contribution to the study of soil erosion in urban conditions under the impact of climate change.",
publisher = "MDPI",
journal = "Applied Sciences",
title = "Soil Erosion Assessment and Prediction in Urban Landscapes: A New G2 Model Approach",
number = "9",
pages = "4154",
volume = "11",
doi = "https://doi.org/10.3390/app11094154"
}

Polovina, S., Radić, B., Ristić, R., Kovačević, J., Milčanović, V.,& Živanović, N.. (2021). Soil Erosion Assessment and Prediction in Urban Landscapes: A New G2 Model Approach. in Applied Sciences
MDPI., 11(9), 4154.
https://doi.org/https://doi.org/10.3390/app11094154

Polovina S, Radić B, Ristić R, Kovačević J, Milčanović V, Živanović N. Soil Erosion Assessment and Prediction in Urban Landscapes: A New G2 Model Approach. in Applied Sciences. 2021;11(9):4154.
doi:https://doi.org/10.3390/app11094154 .

Polovina, Siniša, Radić, Boris, Ristić, Ratko, Kovačević, Jovan, Milčanović, Vukašin, Živanović, Nikola, "Soil Erosion Assessment and Prediction in Urban Landscapes: A New G2 Model Approach" in Applied Sciences, 11, no. 9 (2021):4154,
https://doi.org/https://doi.org/10.3390/app11094154 . .