TY  - JOUR
AU  - Valjarević, Aleksandar
PY  - 2024
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1777
AB  - The use of remote sensing and GIS methodology has accelerated the processing of data on pollution, but has also raised a question about the accuracy of the same. The research focuses on four main air pollutants (CO, NO, SO2, O3), the data on which were obtained from satellite images of Landsat 8 and Landsat 9, for the period 2000-2020. The data on relative cloudiness were obtained from the database CHELSA (Climatologies at high resolution for the earth's land surface areas) for the period 1980-2010. All the data were further processed and analyzed through the procedures of numerical GIS analysis, multi-criteria analysis, supervised and unsupervised satellite classification, and pixel analysis. The results of the analysis of cloud cover in the Balkan region showed that the month with the highest cloud cover in this period was February, with the maximum of (93.18%), whereas the lowest cloud cover was in July (0.19%). The analyzed period (2000 2010) was in the middle range for the pollutants NO and SO2 and in the lower range for CO; O3. In the period 2010-2020, there were high concentrations of NO, SO2, and CO and low concentrations of O3. The most polluted cities in the last twenty years are Ordu (Turkey), Sarajevo (Bosnia and Herzegovina), and Bor (Serbia). Finally, two most extreme air pollutants in the territory of Balkan countries were SO2 and NO (2000-2020).
PB  - Springer Link
T2  - Environmental Science and Pollution Research
T1  - Long-term remote sensing-based methods for monitoring air pollution and cloud cover in the Balkan countries
VL  - 31
IS  - 18
SP  - 27155
EP  - 27171
DO  - 10.1007/s11356-024-32982-y
ER  - 

@article{
author = "Valjarević, Aleksandar",
year = "2024",
abstract = "The use of remote sensing and GIS methodology has accelerated the processing of data on pollution, but has also raised a question about the accuracy of the same. The research focuses on four main air pollutants (CO, NO, SO2, O3), the data on which were obtained from satellite images of Landsat 8 and Landsat 9, for the period 2000-2020. The data on relative cloudiness were obtained from the database CHELSA (Climatologies at high resolution for the earth's land surface areas) for the period 1980-2010. All the data were further processed and analyzed through the procedures of numerical GIS analysis, multi-criteria analysis, supervised and unsupervised satellite classification, and pixel analysis. The results of the analysis of cloud cover in the Balkan region showed that the month with the highest cloud cover in this period was February, with the maximum of (93.18%), whereas the lowest cloud cover was in July (0.19%). The analyzed period (2000 2010) was in the middle range for the pollutants NO and SO2 and in the lower range for CO; O3. In the period 2010-2020, there were high concentrations of NO, SO2, and CO and low concentrations of O3. The most polluted cities in the last twenty years are Ordu (Turkey), Sarajevo (Bosnia and Herzegovina), and Bor (Serbia). Finally, two most extreme air pollutants in the territory of Balkan countries were SO2 and NO (2000-2020).",
publisher = "Springer Link",
journal = "Environmental Science and Pollution Research",
title = "Long-term remote sensing-based methods for monitoring air pollution and cloud cover in the Balkan countries",
volume = "31",
number = "18",
pages = "27155-27171",
doi = "10.1007/s11356-024-32982-y"
}

Valjarević, A.. (2024). Long-term remote sensing-based methods for monitoring air pollution and cloud cover in the Balkan countries. in Environmental Science and Pollution Research
Springer Link., 31(18), 27155-27171.
https://doi.org/10.1007/s11356-024-32982-y

Valjarević A. Long-term remote sensing-based methods for monitoring air pollution and cloud cover in the Balkan countries. in Environmental Science and Pollution Research. 2024;31(18):27155-27171.
doi:10.1007/s11356-024-32982-y .

Valjarević, Aleksandar, "Long-term remote sensing-based methods for monitoring air pollution and cloud cover in the Balkan countries" in Environmental Science and Pollution Research, 31, no. 18 (2024):27155-27171,
https://doi.org/10.1007/s11356-024-32982-y . .

TY  - JOUR
AU  - Komazec, Nenad
AU  - Šoškić, Svetislav
AU  - Milić, Aleksandar
AU  - Štrbac, Katarina
AU  - Valjarević, Aleksandar
PY  - 2024
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1761
AB  - The Danube has a length of 588 km in the Republic of Serbia. The water transport on this river is underused. The hazardous events have a great impact on the traffic on this river, and the understanding of these events is of great importance. This study focuses on hazardous events on the Danube with the main focus on the port of Novi. The hazardous events used in this study are extreme air temperatures, devastating winds, drought, and heavy precipitation. The hazardous events were represented using geographic information systems (GIS), geostatistics, and numerical methods. The potential of the river transport network and the port capacity were analyzed and compared with the hazardous events of the last 30 years. The results showed that three areas of the port are of great importance for port security, and two areas are extremely affected by hazardous events. The distance of the port of Novi Sad from heavy precipitation events is 6.8 km in the southwestern direction. The periods of extremely low precipitation (climatic drought) were in 1994, 2008, 2012, 2015, 2019, and 2021. Extreme average maximum temperatures were in 1995, 2008, 2010, 2013, 2015, and 2019. On the other hand, minimum average temperatures were in 1994, 1996, 1998, 1999, 2017, and 2018, and the strongest winds were in 1995, 1998, 2003, 2009, 2012, and 2014. The methods and techniques of GIS, used in this research, have confirmed new potential geographical positions of the port that can be better adapted to future climate changes. Another main objective of this research is to recommend better spatial planning and construction of new green corridors.
PB  - De Gruyter Open Acces
T2  - Open Geosciences
T1  - Water transportation planning in connection with extreme weather conditions; case study – Port of Novi Sad, Serbia
VL  - 16
IS  - 1
SP  - 20220559
DO  - 10.1515/geo-2022-0559
ER  - 

@article{
author = "Komazec, Nenad and Šoškić, Svetislav and Milić, Aleksandar and Štrbac, Katarina and Valjarević, Aleksandar",
year = "2024",
abstract = "The Danube has a length of 588 km in the Republic of Serbia. The water transport on this river is underused. The hazardous events have a great impact on the traffic on this river, and the understanding of these events is of great importance. This study focuses on hazardous events on the Danube with the main focus on the port of Novi. The hazardous events used in this study are extreme air temperatures, devastating winds, drought, and heavy precipitation. The hazardous events were represented using geographic information systems (GIS), geostatistics, and numerical methods. The potential of the river transport network and the port capacity were analyzed and compared with the hazardous events of the last 30 years. The results showed that three areas of the port are of great importance for port security, and two areas are extremely affected by hazardous events. The distance of the port of Novi Sad from heavy precipitation events is 6.8 km in the southwestern direction. The periods of extremely low precipitation (climatic drought) were in 1994, 2008, 2012, 2015, 2019, and 2021. Extreme average maximum temperatures were in 1995, 2008, 2010, 2013, 2015, and 2019. On the other hand, minimum average temperatures were in 1994, 1996, 1998, 1999, 2017, and 2018, and the strongest winds were in 1995, 1998, 2003, 2009, 2012, and 2014. The methods and techniques of GIS, used in this research, have confirmed new potential geographical positions of the port that can be better adapted to future climate changes. Another main objective of this research is to recommend better spatial planning and construction of new green corridors.",
publisher = "De Gruyter Open Acces",
journal = "Open Geosciences",
title = "Water transportation planning in connection with extreme weather conditions; case study – Port of Novi Sad, Serbia",
volume = "16",
number = "1",
pages = "20220559",
doi = "10.1515/geo-2022-0559"
}

Komazec, N., Šoškić, S., Milić, A., Štrbac, K.,& Valjarević, A.. (2024). Water transportation planning in connection with extreme weather conditions; case study – Port of Novi Sad, Serbia. in Open Geosciences
De Gruyter Open Acces., 16(1), 20220559.
https://doi.org/10.1515/geo-2022-0559

Komazec N, Šoškić S, Milić A, Štrbac K, Valjarević A. Water transportation planning in connection with extreme weather conditions; case study – Port of Novi Sad, Serbia. in Open Geosciences. 2024;16(1):20220559.
doi:10.1515/geo-2022-0559 .

Komazec, Nenad, Šoškić, Svetislav, Milić, Aleksandar, Štrbac, Katarina, Valjarević, Aleksandar, "Water transportation planning in connection with extreme weather conditions; case study – Port of Novi Sad, Serbia" in Open Geosciences, 16, no. 1 (2024):20220559,
https://doi.org/10.1515/geo-2022-0559 . .

TY  - JOUR
AU  - Vujović, Filip
AU  - Valjarević, Aleksandar
AU  - Vila-Subirós, Josep
AU  - Šiljeg, Ante
AU  - Lukić, Tin
PY  - 2024
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1774
AB  - Wildfires pose a significant ecological, environmental, and socioeconomic challenge in southeastern Europe. The preservation of wildlands is not only essential but also a foremost priority for Montenegro, a country recognized as the world’s first ecological state. Consequently, the development of optimal methodologies and models is of paramount importance to enhance fire protection measures. With this objective in mind, this study strives to create a wildfire susceptibility model on a national scale for Montenegro. The study employed seven natural and anthropogenic causative criteria: vegetation type; aspect; slope; elevation; climate classification; distance from road; and population. The modeling process integrates both natural and anthropogenic causal criteria, employing the Fuzzy Analytic Hierarchy Process (F-AHP) and Frequency Ratio (FR) within geoinformatics environment. The outcomes of the F-AHP model reveal that 72.84% of the total area is categorized as having high to very high susceptibility. Conversely, based on the FR model, only 29.07% of the area falls within these susceptibility levels. In terms of validation, the area under curvature values indicates good performance of the F-AHP model. In contrast, the FR model demonstrates poor performance. These novel findings, pertaining to Montenegro at a national scale, offer valuable insights for preemptive wildfire safeguarding efforts. Moreover, the methodologies employed, with necessary modifications, hold potential for application in geographically diverse regions.
PB  - De Gruyter Open Access
T2  - Open Geosciences
T1  - Geospatial modeling of wildfire susceptibility on a national scale in Montenegro: A comparative evaluation of F-AHP and FR methodologie
VL  - 16
IS  - 1
SP  - 20220694
DO  - 10.1515/geo-2022-0694
ER  - 

@article{
author = "Vujović, Filip and Valjarević, Aleksandar and Vila-Subirós, Josep and Šiljeg, Ante and Lukić, Tin",
year = "2024",
abstract = "Wildfires pose a significant ecological, environmental, and socioeconomic challenge in southeastern Europe. The preservation of wildlands is not only essential but also a foremost priority for Montenegro, a country recognized as the world’s first ecological state. Consequently, the development of optimal methodologies and models is of paramount importance to enhance fire protection measures. With this objective in mind, this study strives to create a wildfire susceptibility model on a national scale for Montenegro. The study employed seven natural and anthropogenic causative criteria: vegetation type; aspect; slope; elevation; climate classification; distance from road; and population. The modeling process integrates both natural and anthropogenic causal criteria, employing the Fuzzy Analytic Hierarchy Process (F-AHP) and Frequency Ratio (FR) within geoinformatics environment. The outcomes of the F-AHP model reveal that 72.84% of the total area is categorized as having high to very high susceptibility. Conversely, based on the FR model, only 29.07% of the area falls within these susceptibility levels. In terms of validation, the area under curvature values indicates good performance of the F-AHP model. In contrast, the FR model demonstrates poor performance. These novel findings, pertaining to Montenegro at a national scale, offer valuable insights for preemptive wildfire safeguarding efforts. Moreover, the methodologies employed, with necessary modifications, hold potential for application in geographically diverse regions.",
publisher = "De Gruyter Open Access",
journal = "Open Geosciences",
title = "Geospatial modeling of wildfire susceptibility on a national scale in Montenegro: A comparative evaluation of F-AHP and FR methodologie",
volume = "16",
number = "1",
pages = "20220694",
doi = "10.1515/geo-2022-0694"
}

Vujović, F., Valjarević, A., Vila-Subirós, J., Šiljeg, A.,& Lukić, T.. (2024). Geospatial modeling of wildfire susceptibility on a national scale in Montenegro: A comparative evaluation of F-AHP and FR methodologie. in Open Geosciences
De Gruyter Open Access., 16(1), 20220694.
https://doi.org/10.1515/geo-2022-0694

Vujović F, Valjarević A, Vila-Subirós J, Šiljeg A, Lukić T. Geospatial modeling of wildfire susceptibility on a national scale in Montenegro: A comparative evaluation of F-AHP and FR methodologie. in Open Geosciences. 2024;16(1):20220694.
doi:10.1515/geo-2022-0694 .

Vujović, Filip, Valjarević, Aleksandar, Vila-Subirós, Josep, Šiljeg, Ante, Lukić, Tin, "Geospatial modeling of wildfire susceptibility on a national scale in Montenegro: A comparative evaluation of F-AHP and FR methodologie" in Open Geosciences, 16, no. 1 (2024):20220694,
https://doi.org/10.1515/geo-2022-0694 . .

TY  - JOUR
AU  - Valjarević, Aleksandar
PY  - 2024
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1775
AB  - The analysis of climatic drivers is of utmost importance for defining new hydrological parameters. The territory of Serbia covers the area of 88,361 km2 and all its rivers belong to three big basins, the Aegean, the Black sea and the Adriatic. Extreme weather conditions have been determining the properties of drainage basins within the last sixty year (1953–2023). This research, conducted for the first time in the territory of Serbia, has shown comparative data on the changes of drainage basins and the changes in the type of river networks for the period of last sixty years. The research also includes the changes of the topography, the terrain and the surface of the basins. The main methodology is based on GIS methods, geostatistical method and remote sensing. Adjusted Strahler’s order was also used for the purpose of this research. The obtained results on the topology of river networks were classified into six different types, them being parallel, dendritic, mixed, radial, fan-shaped and rectangular. There has been an increase by 8% in parallel, mixed and dendritic type. The most significant changes in the last sixty years were observed within the Aegean and Adriatic sea basin. The surface of the Black sea basin increased by 1.2%, with the addition of a higher number of tributaries, whereas the basins of Adriatic and the Aegean sea had a decrease by 0.3% and 0.9% respectively. The number of tributaries decreased by 5.5% within the Adriatic sea basin, and by 8.8% within the Aegean sea basin.
PB  - Springer
T2  - Water Resources Management
T1  - GIS-Based Methods for Identifying River Networks Types and Changing River Basins
DO  - 10.1007/s11269-024-03916-7
ER  - 

@article{
author = "Valjarević, Aleksandar",
year = "2024",
abstract = "The analysis of climatic drivers is of utmost importance for defining new hydrological parameters. The territory of Serbia covers the area of 88,361 km2 and all its rivers belong to three big basins, the Aegean, the Black sea and the Adriatic. Extreme weather conditions have been determining the properties of drainage basins within the last sixty year (1953–2023). This research, conducted for the first time in the territory of Serbia, has shown comparative data on the changes of drainage basins and the changes in the type of river networks for the period of last sixty years. The research also includes the changes of the topography, the terrain and the surface of the basins. The main methodology is based on GIS methods, geostatistical method and remote sensing. Adjusted Strahler’s order was also used for the purpose of this research. The obtained results on the topology of river networks were classified into six different types, them being parallel, dendritic, mixed, radial, fan-shaped and rectangular. There has been an increase by 8% in parallel, mixed and dendritic type. The most significant changes in the last sixty years were observed within the Aegean and Adriatic sea basin. The surface of the Black sea basin increased by 1.2%, with the addition of a higher number of tributaries, whereas the basins of Adriatic and the Aegean sea had a decrease by 0.3% and 0.9% respectively. The number of tributaries decreased by 5.5% within the Adriatic sea basin, and by 8.8% within the Aegean sea basin.",
publisher = "Springer",
journal = "Water Resources Management",
title = "GIS-Based Methods for Identifying River Networks Types and Changing River Basins",
doi = "10.1007/s11269-024-03916-7"
}

Valjarević, A.. (2024). GIS-Based Methods for Identifying River Networks Types and Changing River Basins. in Water Resources Management
Springer..
https://doi.org/10.1007/s11269-024-03916-7

Valjarević A. GIS-Based Methods for Identifying River Networks Types and Changing River Basins. in Water Resources Management. 2024;.
doi:10.1007/s11269-024-03916-7 .

Valjarević, Aleksandar, "GIS-Based Methods for Identifying River Networks Types and Changing River Basins" in Water Resources Management (2024),
https://doi.org/10.1007/s11269-024-03916-7 . .

TY  - JOUR
AU  - Durlević, Uroš
AU  - Valjarević, Aleksandar
AU  - Novković, Ivan
AU  - Vujović, Filip
AU  - Josifov, Nemanja
AU  - Krušić, Jelka
AU  - Komac, Blaž
AU  - Djekić, Tatjana
AU  - Singh, Sudhir Kumar
AU  - Jović, Goran
AU  - Radojković, Milan
AU  - Ivanović, Marko
PY  - 2024
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1773
AB  - Most high-mountain regions worldwide are susceptible to snow avalanches during the winter or all year round. In this study, a Universal Snow Avalanche Modeling Index is developed, suitable for determining avalanche hazard in mountain regions. The first step in the research is the collection of data in the field and their processing in geographic information systems and remote sensing. In the period 2023–2024, avalanches were mapped in the field, and later, avalanches as points in geographic information systems (GIS) were overlapped with the dominant natural conditions in the study area. The second step involves determining the main criteria (snow cover, terrain slope, and land use) and evaluating the values to obtain the Snow Avalanche Formation Index (SAFI). Thresholds obtained through field research and the formation of avalanche inventory were used to develop the SAFI index. The index is applied with the aim of identifying locations susceptible to avalanche formation (source areas). The values used for the calculation include Normalized Difference Snow Index (NDSI > 0.6), terrain slope (20–60°) and land use (pastures, meadows). The third step presents the analysis of SAFI locations with meteorological conditions (winter precipitation and winter air temperature). The fourth step is the modeling of the propagation (simulation) of other parts of the snow avalanche in the Flow-R software 2.0. The results show that 282.9 km2 of the study area (Šar Mountains, Serbia) is susceptible to snow avalanches, with the thickness of the potentially triggered layer being 50 cm. With a 5 m thick snowpack, 299.9 km2 would be susceptible. The validation using the ROC-AUC method confirms a very high predictive power (0.94). The SAFI–Flow-R approach offers snow avalanche modeling for which no avalanche inventory is available, representing an advance for all mountain areas where historical data do not exist. The results of the study can be used for land use planning, zoning vulnerable areas, and adopting adequate environmental protection measures.
PB  - Basel : MDPI
T2  - ISPRS International Journal of Geo-Information
T1  - Universal Snow Avalanche Modeling Index Based on SAFI–Flow-R Approach in Poorly-Gauged Regions
VL  - 13
IS  - 9
SP  - 315
DO  - 10.3390/ijgi13090315
ER  - 

@article{
author = "Durlević, Uroš and Valjarević, Aleksandar and Novković, Ivan and Vujović, Filip and Josifov, Nemanja and Krušić, Jelka and Komac, Blaž and Djekić, Tatjana and Singh, Sudhir Kumar and Jović, Goran and Radojković, Milan and Ivanović, Marko",
year = "2024",
abstract = "Most high-mountain regions worldwide are susceptible to snow avalanches during the winter or all year round. In this study, a Universal Snow Avalanche Modeling Index is developed, suitable for determining avalanche hazard in mountain regions. The first step in the research is the collection of data in the field and their processing in geographic information systems and remote sensing. In the period 2023–2024, avalanches were mapped in the field, and later, avalanches as points in geographic information systems (GIS) were overlapped with the dominant natural conditions in the study area. The second step involves determining the main criteria (snow cover, terrain slope, and land use) and evaluating the values to obtain the Snow Avalanche Formation Index (SAFI). Thresholds obtained through field research and the formation of avalanche inventory were used to develop the SAFI index. The index is applied with the aim of identifying locations susceptible to avalanche formation (source areas). The values used for the calculation include Normalized Difference Snow Index (NDSI > 0.6), terrain slope (20–60°) and land use (pastures, meadows). The third step presents the analysis of SAFI locations with meteorological conditions (winter precipitation and winter air temperature). The fourth step is the modeling of the propagation (simulation) of other parts of the snow avalanche in the Flow-R software 2.0. The results show that 282.9 km2 of the study area (Šar Mountains, Serbia) is susceptible to snow avalanches, with the thickness of the potentially triggered layer being 50 cm. With a 5 m thick snowpack, 299.9 km2 would be susceptible. The validation using the ROC-AUC method confirms a very high predictive power (0.94). The SAFI–Flow-R approach offers snow avalanche modeling for which no avalanche inventory is available, representing an advance for all mountain areas where historical data do not exist. The results of the study can be used for land use planning, zoning vulnerable areas, and adopting adequate environmental protection measures.",
publisher = "Basel : MDPI",
journal = "ISPRS International Journal of Geo-Information",
title = "Universal Snow Avalanche Modeling Index Based on SAFI–Flow-R Approach in Poorly-Gauged Regions",
volume = "13",
number = "9",
pages = "315",
doi = "10.3390/ijgi13090315"
}

Durlević, U., Valjarević, A., Novković, I., Vujović, F., Josifov, N., Krušić, J., Komac, B., Djekić, T., Singh, S. K., Jović, G., Radojković, M.,& Ivanović, M.. (2024). Universal Snow Avalanche Modeling Index Based on SAFI–Flow-R Approach in Poorly-Gauged Regions. in ISPRS International Journal of Geo-Information
Basel : MDPI., 13(9), 315.
https://doi.org/10.3390/ijgi13090315

Durlević U, Valjarević A, Novković I, Vujović F, Josifov N, Krušić J, Komac B, Djekić T, Singh SK, Jović G, Radojković M, Ivanović M. Universal Snow Avalanche Modeling Index Based on SAFI–Flow-R Approach in Poorly-Gauged Regions. in ISPRS International Journal of Geo-Information. 2024;13(9):315.
doi:10.3390/ijgi13090315 .

Durlević, Uroš, Valjarević, Aleksandar, Novković, Ivan, Vujović, Filip, Josifov, Nemanja, Krušić, Jelka, Komac, Blaž, Djekić, Tatjana, Singh, Sudhir Kumar, Jović, Goran, Radojković, Milan, Ivanović, Marko, "Universal Snow Avalanche Modeling Index Based on SAFI–Flow-R Approach in Poorly-Gauged Regions" in ISPRS International Journal of Geo-Information, 13, no. 9 (2024):315,
https://doi.org/10.3390/ijgi13090315 . .

TY  - JOUR
AU  - Vujović, Filip
AU  - Ćulafić, Golub
AU  - Valjarević, Aleksandar
AU  - Brđanin, Eldin
AU  - Durlević, Uroš
PY  - 2024
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1748
AB  - Geomorphometric analysis provides crucial insights into the hydrological characteristics by delineating the land-surface features of a drainage basin. The study focused on analyzing the geomorphometric parameters of the Montenegrin segment of the Ibar River drainage basin using the ALOS Global Digital Surface Model 30 m (AW3D30). Geomorphometric parameters, covering linear and areal parameters, were computed using standard mathematical formulas in LibreOffice Calc software and hydrology tools in commercial GIS software ArcGIS, as well as open-source software QGIS with SAGA GIS modules. Results reveal a dendritic pattern in the stream network, with an inverse relationship between stream length and order, and an elevated bifurcation ratio indicating heightened vulnerability to flooding, influenced by geological, geomorphological, and climatic factors. Furthermore, examination of diverse areal morphometric parameters, such as drainage density, stream frequency, form factor, circularity ratio, and elongation ratio, unveils the hydrological dynamics of the Ibar basin. This characterization illustrates the region as possessing high permeability and dense vegetation cover, suggesting vulnerability to erosion and consequent effects on water and sediment discharge. Additionally, this study underscores the significance of user-defined parameters in geomorphometric modeling, particularly in selecting algorithms within analysis software, which significantly impact drainage basin parameters.
PB  - Podgorica : University of Montenegro - Biotechnical Faculty
T2  - Agriculture & Forestry
T1  - Comparative Geomorphometric Analysis of Drainage Basin Using AW3D30 Model in ArcGIS and QGIS Environment: Case Study of the Ibar River Drainage Basin, Montenegro
VL  - 70
IS  - 1
SP  - 217
EP  - 230
DO  - 10.17707/AgricultForest.70.1.15
ER  - 

@article{
author = "Vujović, Filip and Ćulafić, Golub and Valjarević, Aleksandar and Brđanin, Eldin and Durlević, Uroš",
year = "2024",
abstract = "Geomorphometric analysis provides crucial insights into the hydrological characteristics by delineating the land-surface features of a drainage basin. The study focused on analyzing the geomorphometric parameters of the Montenegrin segment of the Ibar River drainage basin using the ALOS Global Digital Surface Model 30 m (AW3D30). Geomorphometric parameters, covering linear and areal parameters, were computed using standard mathematical formulas in LibreOffice Calc software and hydrology tools in commercial GIS software ArcGIS, as well as open-source software QGIS with SAGA GIS modules. Results reveal a dendritic pattern in the stream network, with an inverse relationship between stream length and order, and an elevated bifurcation ratio indicating heightened vulnerability to flooding, influenced by geological, geomorphological, and climatic factors. Furthermore, examination of diverse areal morphometric parameters, such as drainage density, stream frequency, form factor, circularity ratio, and elongation ratio, unveils the hydrological dynamics of the Ibar basin. This characterization illustrates the region as possessing high permeability and dense vegetation cover, suggesting vulnerability to erosion and consequent effects on water and sediment discharge. Additionally, this study underscores the significance of user-defined parameters in geomorphometric modeling, particularly in selecting algorithms within analysis software, which significantly impact drainage basin parameters.",
publisher = "Podgorica : University of Montenegro - Biotechnical Faculty",
journal = "Agriculture & Forestry",
title = "Comparative Geomorphometric Analysis of Drainage Basin Using AW3D30 Model in ArcGIS and QGIS Environment: Case Study of the Ibar River Drainage Basin, Montenegro",
volume = "70",
number = "1",
pages = "217-230",
doi = "10.17707/AgricultForest.70.1.15"
}

Vujović, F., Ćulafić, G., Valjarević, A., Brđanin, E.,& Durlević, U.. (2024). Comparative Geomorphometric Analysis of Drainage Basin Using AW3D30 Model in ArcGIS and QGIS Environment: Case Study of the Ibar River Drainage Basin, Montenegro. in Agriculture & Forestry
Podgorica : University of Montenegro - Biotechnical Faculty., 70(1), 217-230.
https://doi.org/10.17707/AgricultForest.70.1.15

Vujović F, Ćulafić G, Valjarević A, Brđanin E, Durlević U. Comparative Geomorphometric Analysis of Drainage Basin Using AW3D30 Model in ArcGIS and QGIS Environment: Case Study of the Ibar River Drainage Basin, Montenegro. in Agriculture & Forestry. 2024;70(1):217-230.
doi:10.17707/AgricultForest.70.1.15 .

Vujović, Filip, Ćulafić, Golub, Valjarević, Aleksandar, Brđanin, Eldin, Durlević, Uroš, "Comparative Geomorphometric Analysis of Drainage Basin Using AW3D30 Model in ArcGIS and QGIS Environment: Case Study of the Ibar River Drainage Basin, Montenegro" in Agriculture & Forestry, 70, no. 1 (2024):217-230,
https://doi.org/10.17707/AgricultForest.70.1.15 . .

TY  - CHAP
AU  - Durlević, Uroš
AU  - Novković, Ivan
AU  - Bajić, Senka
AU  - Milinčić, Miroljub
AU  - Valjarević, Aleksandar
AU  - Čegar, Nina
AU  - Lukić, Tin
PY  - 2023
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1460
AB  - Snow avalanches are one of the most frequent natural hazards in high mountain regions. In this study, a map of the susceptibility of the Šar Mountains to snow avalanches was determined. The study area is located in the southern part of Serbia, which has the Status of a National park. Geographic information systems (GIS) and remote sensing are used to analysis and cartographical presentation of nine the most important elements of natural conditions which have an influence on avalanche development. Then, by applying the best-worst method (BWM) for each of the criteria was given a weighting coefficient depending on its importance for the avalanche occurrence. A synthetic map of snow avalanche susceptibility was created by processing geospatial data in the GIS software. The obtained results show that high susceptibility covers 16.9% of the territory, while 10.7% of the total area is very highly susceptible. The final results may be useful to decision-makers, local self-governments, emergency management services, and mountaineering services to mitigate human and material losses from snow avalanches. This study is the first to use the BWM methodology for snow avalanche hazard analysis.
PB  - Springer Nature
T2  - Advances in Best-Worst Method - Proceedings of the Fourth International Workshop on Best-Worst Method (BWM2023)
T1  - Snow Avalanche Hazard Prediction Using the Best-Worst Method—Case Study: The Šar Mountains, Serbia
SP  - 211
EP  - 226
DO  - 10.1007/978-3-031-40328-6_12
ER  - 

@inbook{
author = "Durlević, Uroš and Novković, Ivan and Bajić, Senka and Milinčić, Miroljub and Valjarević, Aleksandar and Čegar, Nina and Lukić, Tin",
year = "2023",
abstract = "Snow avalanches are one of the most frequent natural hazards in high mountain regions. In this study, a map of the susceptibility of the Šar Mountains to snow avalanches was determined. The study area is located in the southern part of Serbia, which has the Status of a National park. Geographic information systems (GIS) and remote sensing are used to analysis and cartographical presentation of nine the most important elements of natural conditions which have an influence on avalanche development. Then, by applying the best-worst method (BWM) for each of the criteria was given a weighting coefficient depending on its importance for the avalanche occurrence. A synthetic map of snow avalanche susceptibility was created by processing geospatial data in the GIS software. The obtained results show that high susceptibility covers 16.9% of the territory, while 10.7% of the total area is very highly susceptible. The final results may be useful to decision-makers, local self-governments, emergency management services, and mountaineering services to mitigate human and material losses from snow avalanches. This study is the first to use the BWM methodology for snow avalanche hazard analysis.",
publisher = "Springer Nature",
journal = "Advances in Best-Worst Method - Proceedings of the Fourth International Workshop on Best-Worst Method (BWM2023)",
booktitle = "Snow Avalanche Hazard Prediction Using the Best-Worst Method—Case Study: The Šar Mountains, Serbia",
pages = "211-226",
doi = "10.1007/978-3-031-40328-6_12"
}

Durlević, U., Novković, I., Bajić, S., Milinčić, M., Valjarević, A., Čegar, N.,& Lukić, T.. (2023). Snow Avalanche Hazard Prediction Using the Best-Worst Method—Case Study: The Šar Mountains, Serbia. in Advances in Best-Worst Method - Proceedings of the Fourth International Workshop on Best-Worst Method (BWM2023)
Springer Nature., 211-226.
https://doi.org/10.1007/978-3-031-40328-6_12

Durlević U, Novković I, Bajić S, Milinčić M, Valjarević A, Čegar N, Lukić T. Snow Avalanche Hazard Prediction Using the Best-Worst Method—Case Study: The Šar Mountains, Serbia. in Advances in Best-Worst Method - Proceedings of the Fourth International Workshop on Best-Worst Method (BWM2023). 2023;:211-226.
doi:10.1007/978-3-031-40328-6_12 .

Durlević, Uroš, Novković, Ivan, Bajić, Senka, Milinčić, Miroljub, Valjarević, Aleksandar, Čegar, Nina, Lukić, Tin, "Snow Avalanche Hazard Prediction Using the Best-Worst Method—Case Study: The Šar Mountains, Serbia" in Advances in Best-Worst Method - Proceedings of the Fourth International Workshop on Best-Worst Method (BWM2023) (2023):211-226,
https://doi.org/10.1007/978-3-031-40328-6_12 . .

TY  - JOUR
AU  - Durlević, Uroš
AU  - Čegar, Nina
AU  - Dobrić, Milica
AU  - Vukašinović, Sandra
AU  - Lukić, Tin
AU  - Stevanović, Vladica
AU  - Radovanović, Dragan
AU  - Valjarević, Aleksandar
PY  - 2023
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1411
AB  - The development of climate indices and their application can influence the preferences of tourists and the time frame for visiting the locality. This study develops a new Heritage Climate Index (HERCI) that finds its application in assessing climate comfort for visiting geoheritage and cultural heritage objects. The study analyzed the geoheritage site in Western Serbia (Stopića Cave) and the cultural heritage site in Eastern Serbia (Golubac Fortress). The index was developed to represent climatic comfort on a monthly basis and consisted of five climatic elements. The values of the HERCI index were obtained based on the multi-criteria decision-making model—the Best–Worst method (BWM). The results were classified into five classes, depending on the degree of conformity. After a comparative analysis of the index results for four localities and their attendance for the period 2012–2021 and 2019–2022, it was determined that there is a very high level of correlation (>0.9). This is the first study to use the BWM to develop and analyze a climate index. From the aspect of tourism policy, this study significantly contributes to tourism organizations and tourists in better understanding climate comfort and making decisions about the organization’s time frame and realization of the travel.
PB  - Basel : MDPI
T2  - Atmosphere
T1  - The Heritage Climate Index (HERCI): Development, Assessment and Application for Tourism Purposes in Geoheritage and Cultural Heritage Sites
VL  - 14
IS  - 8
SP  - 1265
DO  - 10.3390/atmos14081265
ER  - 

@article{
author = "Durlević, Uroš and Čegar, Nina and Dobrić, Milica and Vukašinović, Sandra and Lukić, Tin and Stevanović, Vladica and Radovanović, Dragan and Valjarević, Aleksandar",
year = "2023",
abstract = "The development of climate indices and their application can influence the preferences of tourists and the time frame for visiting the locality. This study develops a new Heritage Climate Index (HERCI) that finds its application in assessing climate comfort for visiting geoheritage and cultural heritage objects. The study analyzed the geoheritage site in Western Serbia (Stopića Cave) and the cultural heritage site in Eastern Serbia (Golubac Fortress). The index was developed to represent climatic comfort on a monthly basis and consisted of five climatic elements. The values of the HERCI index were obtained based on the multi-criteria decision-making model—the Best–Worst method (BWM). The results were classified into five classes, depending on the degree of conformity. After a comparative analysis of the index results for four localities and their attendance for the period 2012–2021 and 2019–2022, it was determined that there is a very high level of correlation (>0.9). This is the first study to use the BWM to develop and analyze a climate index. From the aspect of tourism policy, this study significantly contributes to tourism organizations and tourists in better understanding climate comfort and making decisions about the organization’s time frame and realization of the travel.",
publisher = "Basel : MDPI",
journal = "Atmosphere",
title = "The Heritage Climate Index (HERCI): Development, Assessment and Application for Tourism Purposes in Geoheritage and Cultural Heritage Sites",
volume = "14",
number = "8",
pages = "1265",
doi = "10.3390/atmos14081265"
}

Durlević, U., Čegar, N., Dobrić, M., Vukašinović, S., Lukić, T., Stevanović, V., Radovanović, D.,& Valjarević, A.. (2023). The Heritage Climate Index (HERCI): Development, Assessment and Application for Tourism Purposes in Geoheritage and Cultural Heritage Sites. in Atmosphere
Basel : MDPI., 14(8), 1265.
https://doi.org/10.3390/atmos14081265

Durlević U, Čegar N, Dobrić M, Vukašinović S, Lukić T, Stevanović V, Radovanović D, Valjarević A. The Heritage Climate Index (HERCI): Development, Assessment and Application for Tourism Purposes in Geoheritage and Cultural Heritage Sites. in Atmosphere. 2023;14(8):1265.
doi:10.3390/atmos14081265 .

Durlević, Uroš, Čegar, Nina, Dobrić, Milica, Vukašinović, Sandra, Lukić, Tin, Stevanović, Vladica, Radovanović, Dragan, Valjarević, Aleksandar, "The Heritage Climate Index (HERCI): Development, Assessment and Application for Tourism Purposes in Geoheritage and Cultural Heritage Sites" in Atmosphere, 14, no. 8 (2023):1265,
https://doi.org/10.3390/atmos14081265 . .

TY  - JOUR
AU  - Batoćanin, Natalija
AU  - Wróblewski, Wojciech
AU  - Carević, Ivana
AU  - Durlević, Uroš
AU  - Gajić, Violeta
AU  - Valjarević, Aleksandar
PY  - 2023
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1187
AB  - Tufa accumulations from the Gostilje River Basin and the Sopotnica River Basin in SW Serbia are represented by both active and fossil tufa precipitates. The aim of this study is to distinguish and describe different tufa facies and to determine the environmental conditions, based on stable isotope data. We also compare our analysis with other tufa deposits in Europe. Four facies are distinguished: moss tufa, algal tufa, stromatolitic laminated tufa, and phytoclastic tufa. The dominant constituent of all tufa samples is low Mg-calcite, whereas the presence of sylvite is noted in two samples from the Gostilje River Basin. The δ18O values range from −9.07‰ to −10.79‰ (mean value: −9.81‰), while the δ13C values range from −6.50‰ to −10.34‰ (mean values −9.01‰). The stable isotope values (δ13C and δ18O) indicate that these tufa deposits were precipitated from cold, ambient water supported by CO2 of an atmospheric origin. We emphasize that this is the first data about stable isotope analyses of tufa deposits from Serbia.
PB  - Basel : MDPI
T2  - Applied Sciences
T1  - Facies and Origin of Tufa Deposits from the Gostilje River Basin and the Sopotnica River Basin (SW Serbia)
VL  - 13
IS  - 5
SP  - 3190
DO  - 10.3390/app13053190
ER  - 

@article{
author = "Batoćanin, Natalija and Wróblewski, Wojciech and Carević, Ivana and Durlević, Uroš and Gajić, Violeta and Valjarević, Aleksandar",
year = "2023",
abstract = "Tufa accumulations from the Gostilje River Basin and the Sopotnica River Basin in SW Serbia are represented by both active and fossil tufa precipitates. The aim of this study is to distinguish and describe different tufa facies and to determine the environmental conditions, based on stable isotope data. We also compare our analysis with other tufa deposits in Europe. Four facies are distinguished: moss tufa, algal tufa, stromatolitic laminated tufa, and phytoclastic tufa. The dominant constituent of all tufa samples is low Mg-calcite, whereas the presence of sylvite is noted in two samples from the Gostilje River Basin. The δ18O values range from −9.07‰ to −10.79‰ (mean value: −9.81‰), while the δ13C values range from −6.50‰ to −10.34‰ (mean values −9.01‰). The stable isotope values (δ13C and δ18O) indicate that these tufa deposits were precipitated from cold, ambient water supported by CO2 of an atmospheric origin. We emphasize that this is the first data about stable isotope analyses of tufa deposits from Serbia.",
publisher = "Basel : MDPI",
journal = "Applied Sciences",
title = "Facies and Origin of Tufa Deposits from the Gostilje River Basin and the Sopotnica River Basin (SW Serbia)",
volume = "13",
number = "5",
pages = "3190",
doi = "10.3390/app13053190"
}

Batoćanin, N., Wróblewski, W., Carević, I., Durlević, U., Gajić, V.,& Valjarević, A.. (2023). Facies and Origin of Tufa Deposits from the Gostilje River Basin and the Sopotnica River Basin (SW Serbia). in Applied Sciences
Basel : MDPI., 13(5), 3190.
https://doi.org/10.3390/app13053190

Batoćanin N, Wróblewski W, Carević I, Durlević U, Gajić V, Valjarević A. Facies and Origin of Tufa Deposits from the Gostilje River Basin and the Sopotnica River Basin (SW Serbia). in Applied Sciences. 2023;13(5):3190.
doi:10.3390/app13053190 .

Batoćanin, Natalija, Wróblewski, Wojciech, Carević, Ivana, Durlević, Uroš, Gajić, Violeta, Valjarević, Aleksandar, "Facies and Origin of Tufa Deposits from the Gostilje River Basin and the Sopotnica River Basin (SW Serbia)" in Applied Sciences, 13, no. 5 (2023):3190,
https://doi.org/10.3390/app13053190 . .

TY  - JOUR
AU  - Micić Ponjiger, Tanja
AU  - Lukić, Tin
AU  - Wilby, Robert
AU  - Marković, Slobodan
AU  - Valjarević, Aleksandar
AU  - Dragićević, Slavoljub
AU  - Gavrilov, Milivoj
AU  - Ponjiger, Igor
AU  - Durlević, Uroš
AU  - Milanović, Miško
AU  - Basarin, Biljana
AU  - Mlađan, Dragan
AU  - Mitrović, Nikola
AU  - Grama, Vasile
AU  - Morar, Cezar
PY  - 2023
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1315
AB  - The Western Balkans (WB) region is highly prone to water erosion processes, and therefore, the estimation of rainfall erosivity (R-factor) is essential for understanding the complex relationships between hydro-meteorological factors and soil erosion processes. The main objectives of this study are to (1) estimate the spatial-temporal distribution R-factor across the WB region by applying the RUSLE and RUSLE2 methodology with data for the period between 1991 and 2020 and (2) apply cluster analysis to identify places of high erosion risk, and thereby offer a means of targeting suitable mitigation measures. To assess R-factor variability, the ERA5 reanalysis hourly data (0.25° × 0.25° spatial resolution) comprised 390 grid points were used. The calculations were made on a decadal resolution (i.e., for the 1990s, the 2000s, and the 2010s), as well as for the whole study period (1991–2020). In order to reveal spatial patterns of rainfall erosivity, a k-means clustering algorithm was applied. Visualization and mapping were performed in python using the Matplotlib, Seaborn, and Cartopy libraries. Hourly precipitation intensity and monthly precipitation totals exhibited pronounced variability over the study area. High precipitation values were observed in the SW with a >0.3 mm h−1 average, while the least precipitation was seen in the Pannonian Basin and far south (Albanian coast), where the mean intensity was less than an average of 0.1 mm h−1. R-factor variability was very high for both the RUSLE and RUSLE2 methods. The mean R-factor calculated by RUSLE2 was 790 MJ mm ha−1·h−1·yr−1, which is 58% higher than the mean R-factor obtained from RUSLE (330 MJ mm ha−1·h−1·yr−1). The analysis of the R-factor at decadal timescales suggested a rise of 14% in the 2010s. The k-means algorithm for both the RUSLE and RUSLE2 methods implies better spatial distribution in the case of five clusters (K = 5) regarding the R-factor values. The rainfall erosivity maps presented in this research can be seen as useful tools for the assessment of soil erosion intensity and erosion control works, especially for agriculture and land use planning. Since the R-factor is an important part of soil erosion models (RUSLE and RUSLE2), the results of this study can be used as a guide for soil control works, landscape modeling, and suitable mitigation measures on a regional scale.
PB  - Basel : MDPI
T2  - Atmosphere
T1  - Evaluation of Rainfall Erosivity in the Western Balkans by Mapping and Clustering ERA5 Reanalysis Data
VL  - 14
IS  - 1
SP  - 104
DO  - 10.3390/atmos14010104
ER  - 

@article{
author = "Micić Ponjiger, Tanja and Lukić, Tin and Wilby, Robert and Marković, Slobodan and Valjarević, Aleksandar and Dragićević, Slavoljub and Gavrilov, Milivoj and Ponjiger, Igor and Durlević, Uroš and Milanović, Miško and Basarin, Biljana and Mlađan, Dragan and Mitrović, Nikola and Grama, Vasile and Morar, Cezar",
year = "2023",
abstract = "The Western Balkans (WB) region is highly prone to water erosion processes, and therefore, the estimation of rainfall erosivity (R-factor) is essential for understanding the complex relationships between hydro-meteorological factors and soil erosion processes. The main objectives of this study are to (1) estimate the spatial-temporal distribution R-factor across the WB region by applying the RUSLE and RUSLE2 methodology with data for the period between 1991 and 2020 and (2) apply cluster analysis to identify places of high erosion risk, and thereby offer a means of targeting suitable mitigation measures. To assess R-factor variability, the ERA5 reanalysis hourly data (0.25° × 0.25° spatial resolution) comprised 390 grid points were used. The calculations were made on a decadal resolution (i.e., for the 1990s, the 2000s, and the 2010s), as well as for the whole study period (1991–2020). In order to reveal spatial patterns of rainfall erosivity, a k-means clustering algorithm was applied. Visualization and mapping were performed in python using the Matplotlib, Seaborn, and Cartopy libraries. Hourly precipitation intensity and monthly precipitation totals exhibited pronounced variability over the study area. High precipitation values were observed in the SW with a >0.3 mm h−1 average, while the least precipitation was seen in the Pannonian Basin and far south (Albanian coast), where the mean intensity was less than an average of 0.1 mm h−1. R-factor variability was very high for both the RUSLE and RUSLE2 methods. The mean R-factor calculated by RUSLE2 was 790 MJ mm ha−1·h−1·yr−1, which is 58% higher than the mean R-factor obtained from RUSLE (330 MJ mm ha−1·h−1·yr−1). The analysis of the R-factor at decadal timescales suggested a rise of 14% in the 2010s. The k-means algorithm for both the RUSLE and RUSLE2 methods implies better spatial distribution in the case of five clusters (K = 5) regarding the R-factor values. The rainfall erosivity maps presented in this research can be seen as useful tools for the assessment of soil erosion intensity and erosion control works, especially for agriculture and land use planning. Since the R-factor is an important part of soil erosion models (RUSLE and RUSLE2), the results of this study can be used as a guide for soil control works, landscape modeling, and suitable mitigation measures on a regional scale.",
publisher = "Basel : MDPI",
journal = "Atmosphere",
title = "Evaluation of Rainfall Erosivity in the Western Balkans by Mapping and Clustering ERA5 Reanalysis Data",
volume = "14",
number = "1",
pages = "104",
doi = "10.3390/atmos14010104"
}

Micić Ponjiger, T., Lukić, T., Wilby, R., Marković, S., Valjarević, A., Dragićević, S., Gavrilov, M., Ponjiger, I., Durlević, U., Milanović, M., Basarin, B., Mlađan, D., Mitrović, N., Grama, V.,& Morar, C.. (2023). Evaluation of Rainfall Erosivity in the Western Balkans by Mapping and Clustering ERA5 Reanalysis Data. in Atmosphere
Basel : MDPI., 14(1), 104.
https://doi.org/10.3390/atmos14010104

Micić Ponjiger T, Lukić T, Wilby R, Marković S, Valjarević A, Dragićević S, Gavrilov M, Ponjiger I, Durlević U, Milanović M, Basarin B, Mlađan D, Mitrović N, Grama V, Morar C. Evaluation of Rainfall Erosivity in the Western Balkans by Mapping and Clustering ERA5 Reanalysis Data. in Atmosphere. 2023;14(1):104.
doi:10.3390/atmos14010104 .

Micić Ponjiger, Tanja, Lukić, Tin, Wilby, Robert, Marković, Slobodan, Valjarević, Aleksandar, Dragićević, Slavoljub, Gavrilov, Milivoj, Ponjiger, Igor, Durlević, Uroš, Milanović, Miško, Basarin, Biljana, Mlađan, Dragan, Mitrović, Nikola, Grama, Vasile, Morar, Cezar, "Evaluation of Rainfall Erosivity in the Western Balkans by Mapping and Clustering ERA5 Reanalysis Data" in Atmosphere, 14, no. 1 (2023):104,
https://doi.org/10.3390/atmos14010104 . .

TY  - JOUR
AU  - Nikolić, Gojko
AU  - Vujović, Filip
AU  - Golijanin, Jelena
AU  - Šiljeg, Ante
AU  - Valjarević, Aleksandar
PY  - 2023
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1721
AB  - Montenegro has different influences on the weather and climate; in general, according to Köppen’s classification, there are two climate zones: warm temperate (C) and cold temperate (D). The aim of this study is to determine the susceptibility to wildfires in the Montenegrin coastal municipality of Budva and the northern municipality of Rožaje, which are located in different climatic conditions, using multicriteria GIS decision analysis (GIS-MCDA). Nine natural and anthropogenic criteria were used for the analysis. Open geospatial data were used as input data for all criteria. The assignment of weighting coefficients for the criteria in relation to wildfire susceptibility importance was based on the Analytic Hierarchy Process (AHP) and Fuzzy Analytic Hierarchy Process (F-AHP) procedures. The results for the AHP and F-AHP models were obtained using the Weighted Linear Combination (WLC) method. According to the AHP model, the very high and high category covers 80.93% of the total area in Budva and 80.65% in Rožaje. According to the F-AHP model, the very high and high category occupies 80.71% of the total area in Budva and 82.30% in Rožaje. The validation shows that the models of GIS-MCDA perform fair in both climatic zones. The proposed models, especially in the absence of geospatial data, can be a strategic and operational advantage in the development of plans and strategies for protection against wildfires.
PB  - Basel : MDPI
T2  - Atmosphere
T1  - Modelling of Wildfire Susceptibility in Different Climate Zones in Montenegro Using GIS-MCDA
VL  - 14
IS  - 6
SP  - 292
DO  - 10.3390/atmos14060929
ER  - 

@article{
author = "Nikolić, Gojko and Vujović, Filip and Golijanin, Jelena and Šiljeg, Ante and Valjarević, Aleksandar",
year = "2023",
abstract = "Montenegro has different influences on the weather and climate; in general, according to Köppen’s classification, there are two climate zones: warm temperate (C) and cold temperate (D). The aim of this study is to determine the susceptibility to wildfires in the Montenegrin coastal municipality of Budva and the northern municipality of Rožaje, which are located in different climatic conditions, using multicriteria GIS decision analysis (GIS-MCDA). Nine natural and anthropogenic criteria were used for the analysis. Open geospatial data were used as input data for all criteria. The assignment of weighting coefficients for the criteria in relation to wildfire susceptibility importance was based on the Analytic Hierarchy Process (AHP) and Fuzzy Analytic Hierarchy Process (F-AHP) procedures. The results for the AHP and F-AHP models were obtained using the Weighted Linear Combination (WLC) method. According to the AHP model, the very high and high category covers 80.93% of the total area in Budva and 80.65% in Rožaje. According to the F-AHP model, the very high and high category occupies 80.71% of the total area in Budva and 82.30% in Rožaje. The validation shows that the models of GIS-MCDA perform fair in both climatic zones. The proposed models, especially in the absence of geospatial data, can be a strategic and operational advantage in the development of plans and strategies for protection against wildfires.",
publisher = "Basel : MDPI",
journal = "Atmosphere",
title = "Modelling of Wildfire Susceptibility in Different Climate Zones in Montenegro Using GIS-MCDA",
volume = "14",
number = "6",
pages = "292",
doi = "10.3390/atmos14060929"
}

Nikolić, G., Vujović, F., Golijanin, J., Šiljeg, A.,& Valjarević, A.. (2023). Modelling of Wildfire Susceptibility in Different Climate Zones in Montenegro Using GIS-MCDA. in Atmosphere
Basel : MDPI., 14(6), 292.
https://doi.org/10.3390/atmos14060929

Nikolić G, Vujović F, Golijanin J, Šiljeg A, Valjarević A. Modelling of Wildfire Susceptibility in Different Climate Zones in Montenegro Using GIS-MCDA. in Atmosphere. 2023;14(6):292.
doi:10.3390/atmos14060929 .

Nikolić, Gojko, Vujović, Filip, Golijanin, Jelena, Šiljeg, Ante, Valjarević, Aleksandar, "Modelling of Wildfire Susceptibility in Different Climate Zones in Montenegro Using GIS-MCDA" in Atmosphere, 14, no. 6 (2023):292,
https://doi.org/10.3390/atmos14060929 . .

TY  - JOUR
AU  - Milosavljević, Saša
AU  - Medojević, Jovo
AU  - Valjarević, Aleksandar
PY  - 2023
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1628
AB  - AP Kosovo and Metohija is a unique geographical area in Europe, during which the most complex demographic processes, caused by: political conflicts, the NATO bombing of 1999, and took place during the 20th century and the first decades of the 21st century: killing, ethnic cleansing, persecution and segregation of the population. Since June 1999, about 220,000 people were displaced from Kosovo and Metohija. Most of them were Serbs, followed by non-Albanian populations: Montenegrins, Gorans, Roma and Ashkali. The mass persecution of the Serb and other non-Albanian populations has resulted in tremendous changes in the ethnic structure of the Province. Previously, heterogeneous settlements became ethnically homogeneous with a dominant Albanian population. With 93% of the total population Albanians is dominated, while other ethnic communities have a participation of 7%.
AB  - АП Косово и Метохија је јединственa географскa регија у Европи, у којој су се током ХХ и првих деценија ХХI века одвијали најсложенији демографски процеси изазвани: политичким сукобима, НАТО бомбардовањем 1999. године, етничким чишћењем, прогоном и сегрегацијом становништва. Од јуна 1999. године са Косова и Метохије расељено је око 220.000 становника. Најбројнији су били Срби, а затим идруги неалбански народи: Црногорци, Горанци, Роми и Ашкалије. Масовни прогон српског и другог неалбанског становништва довео је до значајних промена у етничкој структури Покрајине. Раније хетерогена насеља постала су етнички хомогена са доминантним албанским становништвом. Са учешћем од 93% у укупном популацији доминирају Албанци, док остале етничке заједнице имају учешће од 7%.
PB  - Beograd : Srpsko geografsko društvo
T2  - Glasnik Srpskog geografskog drustva
T1  - Changes in the ethnic structure of the population of AP Kosovo and Metohija settlements 1948-2022
T1  - Промене у етничкој структури становништва насеља АП Косово и Метохија у периоду од 1948- 2022. године
VL  - 103
IS  - 1
SP  - 237
EP  - 256
DO  - 10.2298/GSGD2301237M
ER  - 

@article{
author = "Milosavljević, Saša and Medojević, Jovo and Valjarević, Aleksandar",
year = "2023",
abstract = "AP Kosovo and Metohija is a unique geographical area in Europe, during which the most complex demographic processes, caused by: political conflicts, the NATO bombing of 1999, and took place during the 20th century and the first decades of the 21st century: killing, ethnic cleansing, persecution and segregation of the population. Since June 1999, about 220,000 people were displaced from Kosovo and Metohija. Most of them were Serbs, followed by non-Albanian populations: Montenegrins, Gorans, Roma and Ashkali. The mass persecution of the Serb and other non-Albanian populations has resulted in tremendous changes in the ethnic structure of the Province. Previously, heterogeneous settlements became ethnically homogeneous with a dominant Albanian population. With 93% of the total population Albanians is dominated, while other ethnic communities have a participation of 7%., АП Косово и Метохија је јединственa географскa регија у Европи, у којој су се током ХХ и првих деценија ХХI века одвијали најсложенији демографски процеси изазвани: политичким сукобима, НАТО бомбардовањем 1999. године, етничким чишћењем, прогоном и сегрегацијом становништва. Од јуна 1999. године са Косова и Метохије расељено је око 220.000 становника. Најбројнији су били Срби, а затим идруги неалбански народи: Црногорци, Горанци, Роми и Ашкалије. Масовни прогон српског и другог неалбанског становништва довео је до значајних промена у етничкој структури Покрајине. Раније хетерогена насеља постала су етнички хомогена са доминантним албанским становништвом. Са учешћем од 93% у укупном популацији доминирају Албанци, док остале етничке заједнице имају учешће од 7%.",
publisher = "Beograd : Srpsko geografsko društvo",
journal = "Glasnik Srpskog geografskog drustva",
title = "Changes in the ethnic structure of the population of AP Kosovo and Metohija settlements 1948-2022, Промене у етничкој структури становништва насеља АП Косово и Метохија у периоду од 1948- 2022. године",
volume = "103",
number = "1",
pages = "237-256",
doi = "10.2298/GSGD2301237M"
}

Milosavljević, S., Medojević, J.,& Valjarević, A.. (2023). Changes in the ethnic structure of the population of AP Kosovo and Metohija settlements 1948-2022. in Glasnik Srpskog geografskog drustva
Beograd : Srpsko geografsko društvo., 103(1), 237-256.
https://doi.org/10.2298/GSGD2301237M

Milosavljević S, Medojević J, Valjarević A. Changes in the ethnic structure of the population of AP Kosovo and Metohija settlements 1948-2022. in Glasnik Srpskog geografskog drustva. 2023;103(1):237-256.
doi:10.2298/GSGD2301237M .

Milosavljević, Saša, Medojević, Jovo, Valjarević, Aleksandar, "Changes in the ethnic structure of the population of AP Kosovo and Metohija settlements 1948-2022" in Glasnik Srpskog geografskog drustva, 103, no. 1 (2023):237-256,
https://doi.org/10.2298/GSGD2301237M . .

TY  - JOUR
AU  - Lukic, Tin
AU  - Radakovic, Milica G.
AU  - Markovic, Rastko
AU  - Thompson, Warren
AU  - Ponjiger, Tanja Micic
AU  - Basarin, Biljana
AU  - Tomic, Nemanja
AU  - Tomovic, Vladimir M.
AU  - Raljic, Jovanka Popov
AU  - Gavrilov, Milivoj B.
AU  - Valjarevic, Aleksandar
AU  - Sipos, György
AU  - Filipovic, Dejan
AU  - Morar, Cezar
AU  - Markovic, Slobodan B.
PY  - 2023
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1718
AB  - In this study we present an in-depth description of the colorimetric values for the lowest section of the Dukatar Loess Palaeosol Sequence (LPS) pedocomplex S5. Formed during the Marine Isotope Stage (MIS) 13-15, it represents the oldest pedocomplex exposed at the base of the Titel loess plateau (TLP), near the confluence of the Tisa and Danube rivers in Vojvodina (northern Serbia). The results of low-field magnetic susceptibility measurements (χlf) were compared to colour properties (obtained by conventional methods as well as instrumental measuring) and quantified Soil Development Indices (SDI). Of these measurements we found that the Redness Index (RI1) yielded the most useful results, as this index appears most sensitive to lithological changes and soil development intensity. It was also observed that a high level of correlation existed between χlf, and a* chromaticity. The initial results of this study highlight the utility of colorimetric methods as an interdisciplinary tool when evaluating the presence of ferromagnetics, and the application of rock magnetism to the Middle and Upper Pleistocene LPS of the Middle Danube Basin. The presented approach can be used to observe the evolution of climatic and ecological conditions in the given study area, and for establishing correlations between sites extending over the Eurasian LPS provinces. © 2023, Croatian Geological Survey. All rights reserved.
PB  - Croatian Geological Survey
PB  - Croatian Geological Society
T2  - Geologia Croatica
T1  - Initial results of the colorimetric indices of the oldest exposed pedocomplex (Titel loess plateau, Serbia)
VL  - 76
IS  - 2
SP  - 73
EP  - 85
DO  - 10.4154/gc.2023.05
ER  - 

@article{
author = "Lukic, Tin and Radakovic, Milica G. and Markovic, Rastko and Thompson, Warren and Ponjiger, Tanja Micic and Basarin, Biljana and Tomic, Nemanja and Tomovic, Vladimir M. and Raljic, Jovanka Popov and Gavrilov, Milivoj B. and Valjarevic, Aleksandar and Sipos, György and Filipovic, Dejan and Morar, Cezar and Markovic, Slobodan B.",
year = "2023",
abstract = "In this study we present an in-depth description of the colorimetric values for the lowest section of the Dukatar Loess Palaeosol Sequence (LPS) pedocomplex S5. Formed during the Marine Isotope Stage (MIS) 13-15, it represents the oldest pedocomplex exposed at the base of the Titel loess plateau (TLP), near the confluence of the Tisa and Danube rivers in Vojvodina (northern Serbia). The results of low-field magnetic susceptibility measurements (χlf) were compared to colour properties (obtained by conventional methods as well as instrumental measuring) and quantified Soil Development Indices (SDI). Of these measurements we found that the Redness Index (RI1) yielded the most useful results, as this index appears most sensitive to lithological changes and soil development intensity. It was also observed that a high level of correlation existed between χlf, and a* chromaticity. The initial results of this study highlight the utility of colorimetric methods as an interdisciplinary tool when evaluating the presence of ferromagnetics, and the application of rock magnetism to the Middle and Upper Pleistocene LPS of the Middle Danube Basin. The presented approach can be used to observe the evolution of climatic and ecological conditions in the given study area, and for establishing correlations between sites extending over the Eurasian LPS provinces. © 2023, Croatian Geological Survey. All rights reserved.",
publisher = "Croatian Geological Survey, Croatian Geological Society",
journal = "Geologia Croatica",
title = "Initial results of the colorimetric indices of the oldest exposed pedocomplex (Titel loess plateau, Serbia)",
volume = "76",
number = "2",
pages = "73-85",
doi = "10.4154/gc.2023.05"
}

Lukic, T., Radakovic, M. G., Markovic, R., Thompson, W., Ponjiger, T. M., Basarin, B., Tomic, N., Tomovic, V. M., Raljic, J. P., Gavrilov, M. B., Valjarevic, A., Sipos, G., Filipovic, D., Morar, C.,& Markovic, S. B.. (2023). Initial results of the colorimetric indices of the oldest exposed pedocomplex (Titel loess plateau, Serbia). in Geologia Croatica
Croatian Geological Survey., 76(2), 73-85.
https://doi.org/10.4154/gc.2023.05

Lukic T, Radakovic MG, Markovic R, Thompson W, Ponjiger TM, Basarin B, Tomic N, Tomovic VM, Raljic JP, Gavrilov MB, Valjarevic A, Sipos G, Filipovic D, Morar C, Markovic SB. Initial results of the colorimetric indices of the oldest exposed pedocomplex (Titel loess plateau, Serbia). in Geologia Croatica. 2023;76(2):73-85.
doi:10.4154/gc.2023.05 .

Lukic, Tin, Radakovic, Milica G., Markovic, Rastko, Thompson, Warren, Ponjiger, Tanja Micic, Basarin, Biljana, Tomic, Nemanja, Tomovic, Vladimir M., Raljic, Jovanka Popov, Gavrilov, Milivoj B., Valjarevic, Aleksandar, Sipos, György, Filipovic, Dejan, Morar, Cezar, Markovic, Slobodan B., "Initial results of the colorimetric indices of the oldest exposed pedocomplex (Titel loess plateau, Serbia)" in Geologia Croatica, 76, no. 2 (2023):73-85,
https://doi.org/10.4154/gc.2023.05 . .

TY  - JOUR
AU  - Valjarević, Aleksandar
AU  - Algarni, Salem
AU  - Morar, Cezar
AU  - Grama, Vasile
AU  - Stupariu, Marius
AU  - Tiba, Alexandru
AU  - Lukić, Tin
PY  - 2023
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1717
AB  - Fog water collection provides a sustainable resource for watering of crops. The Jizan region is one of the smallest states in the Kingdom of Saudi Arabia (KSA) but very rich with unique flora, fauna, landscape diversity, and occurrence of fog. According to satellite data from the period between (1991–2021) the average visibility in this fog belt varied between 5 m and 100 m. Specific relief properties, such as elevation contrast, present rare space for flora preservation and sustainable fog utilization and use in the watering of crops. Some results showed that number of foggy days is not equal and can be divided in three big cycles. It was estimated that 8 × 1013 L, or 80 m3 of fresh water from fog per year, could be used for drinking and partly for farming in Jizan region from settlements Al Araq and Al Gandla, city of Jizan, Al Madaya, Al Mubarakiyah, Muwassam. This amount of water varied through time. The last observational period had large amount of water, 10 × 1013 L or 100 m3. The main methodologies used in this research were advanced GIS (Geographical Information Systems), Remote Sensing (RS), and numerical analysis. Satellite data were downloaded from National Oceanic and Atmospheric Administration (NOAA) and Landsat 8 and 9 satellite missions. This kind of alternative water may produce stability for three main plants in Jizan region, palm, wheat and olive. Typical arid regions in KSA can be transformed by water used from the fog.
PB  - Elsevier
PB  - King Saud University
T2  - Saudi Journal of Biological Sciences
T1  - The coastal fog and ecological balance for plants in the Jizan region, Saudi Arabia
VL  - 30
IS  - 1
SP  - 103494
EP  - 103494
DO  - 10.1016/j.sjbs.2022.103494
ER  - 

@article{
author = "Valjarević, Aleksandar and Algarni, Salem and Morar, Cezar and Grama, Vasile and Stupariu, Marius and Tiba, Alexandru and Lukić, Tin",
year = "2023",
abstract = "Fog water collection provides a sustainable resource for watering of crops. The Jizan region is one of the smallest states in the Kingdom of Saudi Arabia (KSA) but very rich with unique flora, fauna, landscape diversity, and occurrence of fog. According to satellite data from the period between (1991–2021) the average visibility in this fog belt varied between 5 m and 100 m. Specific relief properties, such as elevation contrast, present rare space for flora preservation and sustainable fog utilization and use in the watering of crops. Some results showed that number of foggy days is not equal and can be divided in three big cycles. It was estimated that 8 × 1013 L, or 80 m3 of fresh water from fog per year, could be used for drinking and partly for farming in Jizan region from settlements Al Araq and Al Gandla, city of Jizan, Al Madaya, Al Mubarakiyah, Muwassam. This amount of water varied through time. The last observational period had large amount of water, 10 × 1013 L or 100 m3. The main methodologies used in this research were advanced GIS (Geographical Information Systems), Remote Sensing (RS), and numerical analysis. Satellite data were downloaded from National Oceanic and Atmospheric Administration (NOAA) and Landsat 8 and 9 satellite missions. This kind of alternative water may produce stability for three main plants in Jizan region, palm, wheat and olive. Typical arid regions in KSA can be transformed by water used from the fog.",
publisher = "Elsevier, King Saud University",
journal = "Saudi Journal of Biological Sciences",
title = "The coastal fog and ecological balance for plants in the Jizan region, Saudi Arabia",
volume = "30",
number = "1",
pages = "103494-103494",
doi = "10.1016/j.sjbs.2022.103494"
}

Valjarević, A., Algarni, S., Morar, C., Grama, V., Stupariu, M., Tiba, A.,& Lukić, T.. (2023). The coastal fog and ecological balance for plants in the Jizan region, Saudi Arabia. in Saudi Journal of Biological Sciences
Elsevier., 30(1), 103494-103494.
https://doi.org/10.1016/j.sjbs.2022.103494

Valjarević A, Algarni S, Morar C, Grama V, Stupariu M, Tiba A, Lukić T. The coastal fog and ecological balance for plants in the Jizan region, Saudi Arabia. in Saudi Journal of Biological Sciences. 2023;30(1):103494-103494.
doi:10.1016/j.sjbs.2022.103494 .

Valjarević, Aleksandar, Algarni, Salem, Morar, Cezar, Grama, Vasile, Stupariu, Marius, Tiba, Alexandru, Lukić, Tin, "The coastal fog and ecological balance for plants in the Jizan region, Saudi Arabia" in Saudi Journal of Biological Sciences, 30, no. 1 (2023):103494-103494,
https://doi.org/10.1016/j.sjbs.2022.103494 . .

TY  - JOUR
AU  - Valjarević, Aleksandar
AU  - Milosavljević, Saša
PY  - 2023
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1627
AB  - Human's exploration of space has changed over time, depending on the expansion of the limits of his knowledge. Space is infinite, but it is limited by the possibility of human knowledge. The original man knew very little about the space in which he lived - about its shape, size, content, etc. Over time, the space began to take on the shapes that describe it. Those forms are its dimensions, which increased as knowledge about space increased. Knowledge spread more and more, from the Earth's surface to deep into the cosmos. Time is known to everyone, but it is difficult to define and understand. Science, philosophy, religion, art have different definitions of time, but it can be defined as measuring the progress of events. Space-time convergence explores the changing relationship between space and time. Today it is used to interpret the impact of technological progress on current world processes, especially globalization. The development of computer technology and virtual reality techniques has led to numerous changes in the representation of space. Since the initial development of computer technology, human has tried to create a virtual image of the world that he could experience with all his senses in the same way as the image of the "real" world. GIS displays data in a visual, simple and user-friendly form. The ability to transform spatial data into relevant information represents its basic value and advantage.
PB  - Beograd : Srpsko geografsko društvo
T2  - Glasnik Srpskog geografskog drustva
T1  - Convergence of space and time through GIS
VL  - 103
IS  - 1
SP  - 173
EP  - 182
DO  - 10.2298/GSGD2301173V
ER  - 

@article{
author = "Valjarević, Aleksandar and Milosavljević, Saša",
year = "2023",
abstract = "Human's exploration of space has changed over time, depending on the expansion of the limits of his knowledge. Space is infinite, but it is limited by the possibility of human knowledge. The original man knew very little about the space in which he lived - about its shape, size, content, etc. Over time, the space began to take on the shapes that describe it. Those forms are its dimensions, which increased as knowledge about space increased. Knowledge spread more and more, from the Earth's surface to deep into the cosmos. Time is known to everyone, but it is difficult to define and understand. Science, philosophy, religion, art have different definitions of time, but it can be defined as measuring the progress of events. Space-time convergence explores the changing relationship between space and time. Today it is used to interpret the impact of technological progress on current world processes, especially globalization. The development of computer technology and virtual reality techniques has led to numerous changes in the representation of space. Since the initial development of computer technology, human has tried to create a virtual image of the world that he could experience with all his senses in the same way as the image of the "real" world. GIS displays data in a visual, simple and user-friendly form. The ability to transform spatial data into relevant information represents its basic value and advantage.",
publisher = "Beograd : Srpsko geografsko društvo",
journal = "Glasnik Srpskog geografskog drustva",
title = "Convergence of space and time through GIS",
volume = "103",
number = "1",
pages = "173-182",
doi = "10.2298/GSGD2301173V"
}

Valjarević, A.,& Milosavljević, S.. (2023). Convergence of space and time through GIS. in Glasnik Srpskog geografskog drustva
Beograd : Srpsko geografsko društvo., 103(1), 173-182.
https://doi.org/10.2298/GSGD2301173V

Valjarević A, Milosavljević S. Convergence of space and time through GIS. in Glasnik Srpskog geografskog drustva. 2023;103(1):173-182.
doi:10.2298/GSGD2301173V .

Valjarević, Aleksandar, Milosavljević, Saša, "Convergence of space and time through GIS" in Glasnik Srpskog geografskog drustva, 103, no. 1 (2023):173-182,
https://doi.org/10.2298/GSGD2301173V . .

TY  - CONF
AU  - Valjarević, Aleksandar
AU  - Vujović, Filip
AU  - Brđanin, Eldin
AU  - Bojović, Vojkan
AU  - Živković, Jelena
PY  - 2023
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1574
AB  - Turizam je postao važna privredna grana-povećava rast bruto domaćeg proizvoda, izvoz i zaposlenost. Kao heterogena delatnost ima uticaj i na srodne privredne delatnosti-poljoprivredu,trgovinu, građevinarstvo, saobraćaj itd. Veliki broj informacija u okviru  turističkih aktivnosti može se staviti u razne analogne i digitalne formate. Informacione  tehnologije, u sprezi sa informacionim društvom, multiplikuju važnost geoinformacija kao  resursa savremenog digitalnog društva a medijum za prikaz geoprostornih podataka je promenjen. U savremenim geoinformacionim tendencijama predmet, metod i uloga kartografi je  i GIS-a dobija novo, sistemsko i integrativno značenje. Razvojem turističke industrije GIS  dobija važno mesto u distribuciji, marketingu, analizi prometa turista. Statističke i ekonometričke metode zajedno sa GIS-om daju bolju analizu prostornih podataka. Najviše se koristi  u turističkom planiranju, menadžmenta i zaštiti turističkih resursa. Toplica pripada planinsko-kotlinsko-dolinskoj makroregiji Srbije. Raspolaže turističkim potencijalom, koji je samo  delimično iskorišćen: banjski, planinski, lovni, ribolovni itd. Od prirodnih turističkih vrednosti značajne su planine (Kopaonik, Jastrebac, Radan, Vidojeviva, Sokolovica i Pasjača),  termomineralne vode (Prolom, Lukovska, Kuršumlijska banja), jezera (Oblačinsko), reke  (klisura Toplice). Posebnu turističku vrednost predstavljaju; Đavolja varoš, Brankova kula, pećina Treskavica, vodopad u Dobrotiću.
PB  - Beograd : Asocijacija prostornih planera Srbije
PB  - Beograd : Univerzitet u Beogradu - Geografski fakultet
C3  - Zbornik radova Dvanaestog naučno-stručnog skupa sa međunarodnim učešćem "Planska i normativna zaštita prostora i životne sredine", Novi Pazar
T1  - Implementacija GIS-a u turistički razvoj zaštićenih područja Toplice
SP  - 247
EP  - 251
UR  - https://hdl.handle.net/21.15107/rcub_gery_1574
ER  - 

@conference{
author = "Valjarević, Aleksandar and Vujović, Filip and Brđanin, Eldin and Bojović, Vojkan and Živković, Jelena",
year = "2023",
abstract = "Turizam je postao važna privredna grana-povećava rast bruto domaćeg proizvoda, izvoz i zaposlenost. Kao heterogena delatnost ima uticaj i na srodne privredne delatnosti-poljoprivredu,trgovinu, građevinarstvo, saobraćaj itd. Veliki broj informacija u okviru  turističkih aktivnosti može se staviti u razne analogne i digitalne formate. Informacione  tehnologije, u sprezi sa informacionim društvom, multiplikuju važnost geoinformacija kao  resursa savremenog digitalnog društva a medijum za prikaz geoprostornih podataka je promenjen. U savremenim geoinformacionim tendencijama predmet, metod i uloga kartografi je  i GIS-a dobija novo, sistemsko i integrativno značenje. Razvojem turističke industrije GIS  dobija važno mesto u distribuciji, marketingu, analizi prometa turista. Statističke i ekonometričke metode zajedno sa GIS-om daju bolju analizu prostornih podataka. Najviše se koristi  u turističkom planiranju, menadžmenta i zaštiti turističkih resursa. Toplica pripada planinsko-kotlinsko-dolinskoj makroregiji Srbije. Raspolaže turističkim potencijalom, koji je samo  delimično iskorišćen: banjski, planinski, lovni, ribolovni itd. Od prirodnih turističkih vrednosti značajne su planine (Kopaonik, Jastrebac, Radan, Vidojeviva, Sokolovica i Pasjača),  termomineralne vode (Prolom, Lukovska, Kuršumlijska banja), jezera (Oblačinsko), reke  (klisura Toplice). Posebnu turističku vrednost predstavljaju; Đavolja varoš, Brankova kula, pećina Treskavica, vodopad u Dobrotiću.",
publisher = "Beograd : Asocijacija prostornih planera Srbije, Beograd : Univerzitet u Beogradu - Geografski fakultet",
journal = "Zbornik radova Dvanaestog naučno-stručnog skupa sa međunarodnim učešćem "Planska i normativna zaštita prostora i životne sredine", Novi Pazar",
title = "Implementacija GIS-a u turistički razvoj zaštićenih područja Toplice",
pages = "247-251",
url = "https://hdl.handle.net/21.15107/rcub_gery_1574"
}

Valjarević, A., Vujović, F., Brđanin, E., Bojović, V.,& Živković, J.. (2023). Implementacija GIS-a u turistički razvoj zaštićenih područja Toplice. in Zbornik radova Dvanaestog naučno-stručnog skupa sa međunarodnim učešćem "Planska i normativna zaštita prostora i životne sredine", Novi Pazar
Beograd : Asocijacija prostornih planera Srbije., 247-251.
https://hdl.handle.net/21.15107/rcub_gery_1574

Valjarević A, Vujović F, Brđanin E, Bojović V, Živković J. Implementacija GIS-a u turistički razvoj zaštićenih područja Toplice. in Zbornik radova Dvanaestog naučno-stručnog skupa sa međunarodnim učešćem "Planska i normativna zaštita prostora i životne sredine", Novi Pazar. 2023;:247-251.
https://hdl.handle.net/21.15107/rcub_gery_1574 .

Valjarević, Aleksandar, Vujović, Filip, Brđanin, Eldin, Bojović, Vojkan, Živković, Jelena, "Implementacija GIS-a u turistički razvoj zaštićenih područja Toplice" in Zbornik radova Dvanaestog naučno-stručnog skupa sa međunarodnim učešćem "Planska i normativna zaštita prostora i životne sredine", Novi Pazar (2023):247-251,
https://hdl.handle.net/21.15107/rcub_gery_1574 .

TY  - JOUR
AU  - Valjarević, Aleksandar
AU  - Popovici, Cristina
AU  - Štilić, Anđelka
AU  - Radojković, Milan
PY  - 2022
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1778
AB  - Clouds play an important role in maintaining the balance in the environment. Cloudiness can influence numerous important ecological drivers, including growth, survival and distribution of plants. The cloud cover dynamics and distribution may provide key information for delineating various types of plant and species distribution. During a year, different types of clouds on a territory can influence the distribution of plants and potential of cloud seeding. New properties of cloudiness may be important for new ecological patterns and new adapted values of ecological drivers. In the territory of the Republic of Moldova, 30 years of cloudiness were taken to show new distribution of clouds properties and their influence on sunflower (Helianthus annus L.) and grapes (Vitis vinifera). The main result of this research is the first established map with the location of water derived from cloud seeding. In the last decade (2010–2020), the cloudiness increased by more than 15%. Another important focus of this research is the possibility of cloud seeding in line with recent deficit of precipitation, especially in dry areas. The territory of Moldova has 37% of semiarid and 6% of arid zones. The distribution and the potential of cloud seeding has been analyzed by means of Remote Sensing and GIS techniques and methodology, along with the Moderate Resolution Imaging Spectroradiometer. Satellite data in the resolution of 1 km2 were downloaded for the period between 1990 and 2020. The exact distribution of clouds helped to determine the belts for the potential irrigation of crops. Extremely low cloudiness and a long period of drought may jeopardize the agricultural sector in the Republic of Moldova, and therefore, the irrigation from alternative water sources is of utmost importance.
PB  - Springer Link
T2  - Applied Water Science
T1  - Cloudiness and water from cloud seeding in connection with plants distribution in the Republic of Moldov
VL  - 12
IS  - 12
SP  - 262
DO  - 10.1007/s13201-022-01784-3
ER  - 

@article{
author = "Valjarević, Aleksandar and Popovici, Cristina and Štilić, Anđelka and Radojković, Milan",
year = "2022",
abstract = "Clouds play an important role in maintaining the balance in the environment. Cloudiness can influence numerous important ecological drivers, including growth, survival and distribution of plants. The cloud cover dynamics and distribution may provide key information for delineating various types of plant and species distribution. During a year, different types of clouds on a territory can influence the distribution of plants and potential of cloud seeding. New properties of cloudiness may be important for new ecological patterns and new adapted values of ecological drivers. In the territory of the Republic of Moldova, 30 years of cloudiness were taken to show new distribution of clouds properties and their influence on sunflower (Helianthus annus L.) and grapes (Vitis vinifera). The main result of this research is the first established map with the location of water derived from cloud seeding. In the last decade (2010–2020), the cloudiness increased by more than 15%. Another important focus of this research is the possibility of cloud seeding in line with recent deficit of precipitation, especially in dry areas. The territory of Moldova has 37% of semiarid and 6% of arid zones. The distribution and the potential of cloud seeding has been analyzed by means of Remote Sensing and GIS techniques and methodology, along with the Moderate Resolution Imaging Spectroradiometer. Satellite data in the resolution of 1 km2 were downloaded for the period between 1990 and 2020. The exact distribution of clouds helped to determine the belts for the potential irrigation of crops. Extremely low cloudiness and a long period of drought may jeopardize the agricultural sector in the Republic of Moldova, and therefore, the irrigation from alternative water sources is of utmost importance.",
publisher = "Springer Link",
journal = "Applied Water Science",
title = "Cloudiness and water from cloud seeding in connection with plants distribution in the Republic of Moldov",
volume = "12",
number = "12",
pages = "262",
doi = "10.1007/s13201-022-01784-3"
}

Valjarević, A., Popovici, C., Štilić, A.,& Radojković, M.. (2022). Cloudiness and water from cloud seeding in connection with plants distribution in the Republic of Moldov. in Applied Water Science
Springer Link., 12(12), 262.
https://doi.org/10.1007/s13201-022-01784-3

Valjarević A, Popovici C, Štilić A, Radojković M. Cloudiness and water from cloud seeding in connection with plants distribution in the Republic of Moldov. in Applied Water Science. 2022;12(12):262.
doi:10.1007/s13201-022-01784-3 .

Valjarević, Aleksandar, Popovici, Cristina, Štilić, Anđelka, Radojković, Milan, "Cloudiness and water from cloud seeding in connection with plants distribution in the Republic of Moldov" in Applied Water Science, 12, no. 12 (2022):262,
https://doi.org/10.1007/s13201-022-01784-3 . .

TY  - JOUR
AU  - Valjarević, Aleksandar
AU  - Popovici, Cristina
AU  - Djekić, Tatjana
AU  - Morar, Cezar
AU  - Filipović, Dejan
AU  - Lukić, Tin
PY  - 2022
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1779
AB  - The investigation of weather properties and clouds distribution in the stratosphere is rare, but essential for science. In this research, twenty years of satellite recordings showed the properties of stratospheric clouds approved by GIS (Geographical Information System) and Remote sensing (RS) techniques. This type of clouds covered a small area in the analyzed period, but the results were important for meteorological and climatological condition in the atmosphere. A very tiny layer of water vapor and their low concentration produces a small number of clouds throughout the year. The average altitude of the stratosphere varied between 12 km and 50 km. The stratosphere is very dry; only polar stratospheric clouds (PSCCl) may be found. This type of clouds appears near the poles in the winter season. This research provides the explanation on the climate properties of clouds (water content) in this layer of the atmosphere. The layers of this type of clouds present stable factor of meteorological stability, but have recently been influenced by climate change effects. The new findings of water in the stratosphere were made possible by precise analysis of satellite recordings. The estimated amount of water in the clouds in the stratosphere may be significant for potential cloud seeding in the future.
PB  - Elsevier
T2  - Egyptian Journal of Remote Sensing and Space Sciences
T1  - Long-term monitoring of high optical imagery of the stratospheric clouds and their properties new approaches and conclusions
VL  - 25
IS  - 4
SP  - 1037
EP  - 1043
DO  - 10.1016/j.ejrs.2022.11.006
ER  - 

@article{
author = "Valjarević, Aleksandar and Popovici, Cristina and Djekić, Tatjana and Morar, Cezar and Filipović, Dejan and Lukić, Tin",
year = "2022",
abstract = "The investigation of weather properties and clouds distribution in the stratosphere is rare, but essential for science. In this research, twenty years of satellite recordings showed the properties of stratospheric clouds approved by GIS (Geographical Information System) and Remote sensing (RS) techniques. This type of clouds covered a small area in the analyzed period, but the results were important for meteorological and climatological condition in the atmosphere. A very tiny layer of water vapor and their low concentration produces a small number of clouds throughout the year. The average altitude of the stratosphere varied between 12 km and 50 km. The stratosphere is very dry; only polar stratospheric clouds (PSCCl) may be found. This type of clouds appears near the poles in the winter season. This research provides the explanation on the climate properties of clouds (water content) in this layer of the atmosphere. The layers of this type of clouds present stable factor of meteorological stability, but have recently been influenced by climate change effects. The new findings of water in the stratosphere were made possible by precise analysis of satellite recordings. The estimated amount of water in the clouds in the stratosphere may be significant for potential cloud seeding in the future.",
publisher = "Elsevier",
journal = "Egyptian Journal of Remote Sensing and Space Sciences",
title = "Long-term monitoring of high optical imagery of the stratospheric clouds and their properties new approaches and conclusions",
volume = "25",
number = "4",
pages = "1037-1043",
doi = "10.1016/j.ejrs.2022.11.006"
}

Valjarević, A., Popovici, C., Djekić, T., Morar, C., Filipović, D.,& Lukić, T.. (2022). Long-term monitoring of high optical imagery of the stratospheric clouds and their properties new approaches and conclusions. in Egyptian Journal of Remote Sensing and Space Sciences
Elsevier., 25(4), 1037-1043.
https://doi.org/10.1016/j.ejrs.2022.11.006

Valjarević A, Popovici C, Djekić T, Morar C, Filipović D, Lukić T. Long-term monitoring of high optical imagery of the stratospheric clouds and their properties new approaches and conclusions. in Egyptian Journal of Remote Sensing and Space Sciences. 2022;25(4):1037-1043.
doi:10.1016/j.ejrs.2022.11.006 .

Valjarević, Aleksandar, Popovici, Cristina, Djekić, Tatjana, Morar, Cezar, Filipović, Dejan, Lukić, Tin, "Long-term monitoring of high optical imagery of the stratospheric clouds and their properties new approaches and conclusions" in Egyptian Journal of Remote Sensing and Space Sciences, 25, no. 4 (2022):1037-1043,
https://doi.org/10.1016/j.ejrs.2022.11.006 . .

TY  - JOUR
AU  - Petrović, Milena
AU  - Valjarević, Dragana
AU  - Ilić, Dejan
AU  - Valjarević, Aleksandar
AU  - Mladenović, Julija
PY  - 2022
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1185
AB  - We propose an improved variant of the accelerated gradient optimization models for solving unconstrained minimization problems. Merging the positive features of either double direction, as well as double step size accelerated gradient models, we define an iterative method of a simpler form which is generally more effective. Performed convergence analysis shows that the defined iterative method is at least linearly convergent for uniformly convex and strictly convex functions. Numerical test results confirm the efficiency of the developed model regarding the CPU time, the number of iterations and the number of function evaluations metrics
PB  - Basel : MDPI
T2  - Mathematics
T1  - An Improved Modification of Accelerated Double Direction and Double Step-Size Optimization Schemes
VL  - 10
IS  - 2
SP  - 259
DO  - 10.3390/math10020259
ER  - 

@article{
author = "Petrović, Milena and Valjarević, Dragana and Ilić, Dejan and Valjarević, Aleksandar and Mladenović, Julija",
year = "2022",
abstract = "We propose an improved variant of the accelerated gradient optimization models for solving unconstrained minimization problems. Merging the positive features of either double direction, as well as double step size accelerated gradient models, we define an iterative method of a simpler form which is generally more effective. Performed convergence analysis shows that the defined iterative method is at least linearly convergent for uniformly convex and strictly convex functions. Numerical test results confirm the efficiency of the developed model regarding the CPU time, the number of iterations and the number of function evaluations metrics",
publisher = "Basel : MDPI",
journal = "Mathematics",
title = "An Improved Modification of Accelerated Double Direction and Double Step-Size Optimization Schemes",
volume = "10",
number = "2",
pages = "259",
doi = "10.3390/math10020259"
}

Petrović, M., Valjarević, D., Ilić, D., Valjarević, A.,& Mladenović, J.. (2022). An Improved Modification of Accelerated Double Direction and Double Step-Size Optimization Schemes. in Mathematics
Basel : MDPI., 10(2), 259.
https://doi.org/10.3390/math10020259

Petrović M, Valjarević D, Ilić D, Valjarević A, Mladenović J. An Improved Modification of Accelerated Double Direction and Double Step-Size Optimization Schemes. in Mathematics. 2022;10(2):259.
doi:10.3390/math10020259 .

Petrović, Milena, Valjarević, Dragana, Ilić, Dejan, Valjarević, Aleksandar, Mladenović, Julija, "An Improved Modification of Accelerated Double Direction and Double Step-Size Optimization Schemes" in Mathematics, 10, no. 2 (2022):259,
https://doi.org/10.3390/math10020259 . .

TY  - JOUR
AU  - Durlević, Uroš
AU  - Valjarević, Aleksandar
AU  - Novković, Ivan
AU  - Nina, Ćurčić
AU  - Smiljić, Mirjana
AU  - Morar, Cezar
AU  - Stoica, Alina
AU  - Barišić, Danijel
AU  - Lukić, Tin
PY  - 2022
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1180
AB  - Snow avalanches are one of the most devastating natural hazards in the highlands that often cause human casualties and economic losses. The complex process of modeling terrain susceptibility requires the application of modern methods and software. The prediction of avalanches in this study is based on the use of geographic information systems (GIS), remote sensing, and multicriteria analysis—analytic hierarchy process (AHP) on the territory of the Šar Mountains (Serbia). Five indicators (lithological, geomorphological, hydrological, vegetation, and climatic) were processed, where 14 criteria were analyzed. The results showed that approximately 20% of the investigated area is highly susceptible to avalanches and that 24% of the area has a medium susceptibility. Based on the results, settlements where avalanche protection measures should be applied have been singled out. The obtained data can will help local self-governments, emergency management services, and mountaineering services to mitigate human and material losses from the snow avalanches. This is the first research in the Republic of Serbia that deals with GIS-AHP spatial modeling of snow avalanches, and methodology and criteria used in this study can be tested in other high mountainous regions.
PB  - Basel : MDPI
T2  - Atmosphere
T1  - GIS-Based Spatial Modeling of Snow Avalanches Using Analytic Hierarchy Process. A Case Study of the Šar Mountains, Serbia
VL  - 13
IS  - 8
SP  - 1229
DO  - 10.3390/atmos13081229
ER  - 

@article{
author = "Durlević, Uroš and Valjarević, Aleksandar and Novković, Ivan and Nina, Ćurčić and Smiljić, Mirjana and Morar, Cezar and Stoica, Alina and Barišić, Danijel and Lukić, Tin",
year = "2022",
abstract = "Snow avalanches are one of the most devastating natural hazards in the highlands that often cause human casualties and economic losses. The complex process of modeling terrain susceptibility requires the application of modern methods and software. The prediction of avalanches in this study is based on the use of geographic information systems (GIS), remote sensing, and multicriteria analysis—analytic hierarchy process (AHP) on the territory of the Šar Mountains (Serbia). Five indicators (lithological, geomorphological, hydrological, vegetation, and climatic) were processed, where 14 criteria were analyzed. The results showed that approximately 20% of the investigated area is highly susceptible to avalanches and that 24% of the area has a medium susceptibility. Based on the results, settlements where avalanche protection measures should be applied have been singled out. The obtained data can will help local self-governments, emergency management services, and mountaineering services to mitigate human and material losses from the snow avalanches. This is the first research in the Republic of Serbia that deals with GIS-AHP spatial modeling of snow avalanches, and methodology and criteria used in this study can be tested in other high mountainous regions.",
publisher = "Basel : MDPI",
journal = "Atmosphere",
title = "GIS-Based Spatial Modeling of Snow Avalanches Using Analytic Hierarchy Process. A Case Study of the Šar Mountains, Serbia",
volume = "13",
number = "8",
pages = "1229",
doi = "10.3390/atmos13081229"
}

Durlević, U., Valjarević, A., Novković, I., Nina, Ć., Smiljić, M., Morar, C., Stoica, A., Barišić, D.,& Lukić, T.. (2022). GIS-Based Spatial Modeling of Snow Avalanches Using Analytic Hierarchy Process. A Case Study of the Šar Mountains, Serbia. in Atmosphere
Basel : MDPI., 13(8), 1229.
https://doi.org/10.3390/atmos13081229

Durlević U, Valjarević A, Novković I, Nina Ć, Smiljić M, Morar C, Stoica A, Barišić D, Lukić T. GIS-Based Spatial Modeling of Snow Avalanches Using Analytic Hierarchy Process. A Case Study of the Šar Mountains, Serbia. in Atmosphere. 2022;13(8):1229.
doi:10.3390/atmos13081229 .

Durlević, Uroš, Valjarević, Aleksandar, Novković, Ivan, Nina, Ćurčić, Smiljić, Mirjana, Morar, Cezar, Stoica, Alina, Barišić, Danijel, Lukić, Tin, "GIS-Based Spatial Modeling of Snow Avalanches Using Analytic Hierarchy Process. A Case Study of the Šar Mountains, Serbia" in Atmosphere, 13, no. 8 (2022):1229,
https://doi.org/10.3390/atmos13081229 . .

TY  - JOUR
AU  - Durlević, Uroš
AU  - Novković, Ivan
AU  - Carević, Ivana
AU  - Valjarević, Dragana
AU  - Marjanović, Aleksa
AU  - Batoćanin, Natalija
AU  - Krstić, Filip
AU  - Stojanović, Luka
AU  - Valjarević, Aleksandar
PY  - 2022
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1317
AB  - Adequate disposal of municipal solid waste (MSW) is one of Serbia’s most complex environmental challenges. The problem is more serious in urban areas, since large amounts of waste are disposed of in locations that do not comply with environmental, technical, and socio-economic standards. Such is the case for the city of Kraljevo, where about 116,000 inhabitants do not have a sanitary landfill facility. This research includes a multi-criteria analysis, conducted with the help of geographic information systems, to find a suitable landfill site location. After data collection, the first step was to process 15 environmental and socio-economic factors utilizing the fuzzy analytic-hierarchy process method. The second step comprised the visual analysis and selection of the ten most suitable locations from the synthetic convenience map. The third step involved the final ranking of sites by means of the fuzzy multi-objective analysis by ratio, plus the full multiplicative form method, based on four additional beneficial and non-beneficial criteria. The results show that sanitary landfill candidate site A4 is the most suitable location for constructing a sanitary landfill site due to its large area (569 ha) and relatively short distance from the urban zone (8 km). This study is the first to integrate geographic information systems and the fuzzy analytic-hierarchy process, multi-objective analysis by ratio, and the full multiplicative form algorithm for sanitary landfill selection. The results of the research can be used as a reference for safe waste disposal in the city of Kraljevo.
PB  - Springer-Verlag GmbH Germany, part of Springer Nature
T2  - Environmental Science and Pollution Research
T1  - Sanitary landfill site selection using GIS-based on a fuzzy multi-criteria evaluation technique: a case study of the City of Kraljevo, Serbia
VL  - 30
IS  - 13
SP  - 37961
EP  - 37980
DO  - 10.1007/s11356-022-24884-8
ER  - 

@article{
author = "Durlević, Uroš and Novković, Ivan and Carević, Ivana and Valjarević, Dragana and Marjanović, Aleksa and Batoćanin, Natalija and Krstić, Filip and Stojanović, Luka and Valjarević, Aleksandar",
year = "2022",
abstract = "Adequate disposal of municipal solid waste (MSW) is one of Serbia’s most complex environmental challenges. The problem is more serious in urban areas, since large amounts of waste are disposed of in locations that do not comply with environmental, technical, and socio-economic standards. Such is the case for the city of Kraljevo, where about 116,000 inhabitants do not have a sanitary landfill facility. This research includes a multi-criteria analysis, conducted with the help of geographic information systems, to find a suitable landfill site location. After data collection, the first step was to process 15 environmental and socio-economic factors utilizing the fuzzy analytic-hierarchy process method. The second step comprised the visual analysis and selection of the ten most suitable locations from the synthetic convenience map. The third step involved the final ranking of sites by means of the fuzzy multi-objective analysis by ratio, plus the full multiplicative form method, based on four additional beneficial and non-beneficial criteria. The results show that sanitary landfill candidate site A4 is the most suitable location for constructing a sanitary landfill site due to its large area (569 ha) and relatively short distance from the urban zone (8 km). This study is the first to integrate geographic information systems and the fuzzy analytic-hierarchy process, multi-objective analysis by ratio, and the full multiplicative form algorithm for sanitary landfill selection. The results of the research can be used as a reference for safe waste disposal in the city of Kraljevo.",
publisher = "Springer-Verlag GmbH Germany, part of Springer Nature",
journal = "Environmental Science and Pollution Research",
title = "Sanitary landfill site selection using GIS-based on a fuzzy multi-criteria evaluation technique: a case study of the City of Kraljevo, Serbia",
volume = "30",
number = "13",
pages = "37961-37980",
doi = "10.1007/s11356-022-24884-8"
}

Durlević, U., Novković, I., Carević, I., Valjarević, D., Marjanović, A., Batoćanin, N., Krstić, F., Stojanović, L.,& Valjarević, A.. (2022). Sanitary landfill site selection using GIS-based on a fuzzy multi-criteria evaluation technique: a case study of the City of Kraljevo, Serbia. in Environmental Science and Pollution Research
Springer-Verlag GmbH Germany, part of Springer Nature., 30(13), 37961-37980.
https://doi.org/10.1007/s11356-022-24884-8

Durlević U, Novković I, Carević I, Valjarević D, Marjanović A, Batoćanin N, Krstić F, Stojanović L, Valjarević A. Sanitary landfill site selection using GIS-based on a fuzzy multi-criteria evaluation technique: a case study of the City of Kraljevo, Serbia. in Environmental Science and Pollution Research. 2022;30(13):37961-37980.
doi:10.1007/s11356-022-24884-8 .

Durlević, Uroš, Novković, Ivan, Carević, Ivana, Valjarević, Dragana, Marjanović, Aleksa, Batoćanin, Natalija, Krstić, Filip, Stojanović, Luka, Valjarević, Aleksandar, "Sanitary landfill site selection using GIS-based on a fuzzy multi-criteria evaluation technique: a case study of the City of Kraljevo, Serbia" in Environmental Science and Pollution Research, 30, no. 13 (2022):37961-37980,
https://doi.org/10.1007/s11356-022-24884-8 . .

TY  - CONF
AU  - Valjarević, Aleksandar
AU  - Radojković, Milan
PY  - 2022
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1618
AB  - Ruralna područja Republike Srbije poseduju značajne resurse , u smislu obima  i njihove raznovrsnosti. Doprinos poljoprivrede, šumarstva i ribarstva ekonomskom  rastu i razvoju Srbije je značajan. Šume predstavljaju deo prostora za oporavak i razvoj  ruralnih područja. Šume i šumsko zemljište u Srbiji obuhvata 1/4 teritorije. Razvoj društva  zahteva da se šumama održivo gazduje, da se upravlja i koristi na način i u obimu da se  održava njihova biološka raznovrsnost, unapređuje proizvodnju, sposobnost obnavljanja,  vitalnost i potencijal da ispunjavaju ekološke i ekonomske funkcije. Današnje stanje šuma  je nezadovoljavajuće. To se može pratiti na primeru šuma Topličkog okruga (opštine  Prokuplje, Blace, Kuršumlija, Žitorađa) u poslednjih 60 godina. Analiza je rađena na osnovu  daljinske detekcije, topografskih karata, geografskog informacionog sistema (GIS). U cilju  revitalizacije i razvoja ruralnog prostora posebno su potrebne tehničko-tehnološka znanja  i inovacije. Danas se adekvatno upravljanje prostorom ne može zamisliti bez primene  Geografskog informacionog sistema. GIS je moćan skup alata za prikupljanje, skladištenje,  pretraživanje, transformaciju i prikaz geoprostornih podataka. GIS je „pametna karta“  koja omogućuje korisnicima da kreiraju interaktivne upite, analizu prostornih informacija i  sprovođenje promena. GIS podatke prikazuje u vizuelnom, jednostavnom i korisniku bliskom  obliku.Sposobnost da podatke u prostoru transformiše u relevantne informacije predstavlja  njegovu osnovnu vrednost i prednost.
PB  - Beograd : Asocijacija prostornih planera Srbije
PB  - Beograd : Univerzitet u Beogradu - Geografski fakultet
C3  - Zbornik radova Devetog naučno-stručnog skupa sa međunarodnim učešćem "Lokalna samouprava u planiranju i uređenju prostora i naselja", Veliko Gradište
T1  - Koncept GIS-a u planiranju ruralnog razvoja
SP  - 287
EP  - 290
UR  - https://hdl.handle.net/21.15107/rcub_gery_1618
ER  - 

@conference{
author = "Valjarević, Aleksandar and Radojković, Milan",
year = "2022",
abstract = "Ruralna područja Republike Srbije poseduju značajne resurse , u smislu obima  i njihove raznovrsnosti. Doprinos poljoprivrede, šumarstva i ribarstva ekonomskom  rastu i razvoju Srbije je značajan. Šume predstavljaju deo prostora za oporavak i razvoj  ruralnih područja. Šume i šumsko zemljište u Srbiji obuhvata 1/4 teritorije. Razvoj društva  zahteva da se šumama održivo gazduje, da se upravlja i koristi na način i u obimu da se  održava njihova biološka raznovrsnost, unapređuje proizvodnju, sposobnost obnavljanja,  vitalnost i potencijal da ispunjavaju ekološke i ekonomske funkcije. Današnje stanje šuma  je nezadovoljavajuće. To se može pratiti na primeru šuma Topličkog okruga (opštine  Prokuplje, Blace, Kuršumlija, Žitorađa) u poslednjih 60 godina. Analiza je rađena na osnovu  daljinske detekcije, topografskih karata, geografskog informacionog sistema (GIS). U cilju  revitalizacije i razvoja ruralnog prostora posebno su potrebne tehničko-tehnološka znanja  i inovacije. Danas se adekvatno upravljanje prostorom ne može zamisliti bez primene  Geografskog informacionog sistema. GIS je moćan skup alata za prikupljanje, skladištenje,  pretraživanje, transformaciju i prikaz geoprostornih podataka. GIS je „pametna karta“  koja omogućuje korisnicima da kreiraju interaktivne upite, analizu prostornih informacija i  sprovođenje promena. GIS podatke prikazuje u vizuelnom, jednostavnom i korisniku bliskom  obliku.Sposobnost da podatke u prostoru transformiše u relevantne informacije predstavlja  njegovu osnovnu vrednost i prednost.",
publisher = "Beograd : Asocijacija prostornih planera Srbije, Beograd : Univerzitet u Beogradu - Geografski fakultet",
journal = "Zbornik radova Devetog naučno-stručnog skupa sa međunarodnim učešćem "Lokalna samouprava u planiranju i uređenju prostora i naselja", Veliko Gradište",
title = "Koncept GIS-a u planiranju ruralnog razvoja",
pages = "287-290",
url = "https://hdl.handle.net/21.15107/rcub_gery_1618"
}

Valjarević, A.,& Radojković, M.. (2022). Koncept GIS-a u planiranju ruralnog razvoja. in Zbornik radova Devetog naučno-stručnog skupa sa međunarodnim učešćem "Lokalna samouprava u planiranju i uređenju prostora i naselja", Veliko Gradište
Beograd : Asocijacija prostornih planera Srbije., 287-290.
https://hdl.handle.net/21.15107/rcub_gery_1618

Valjarević A, Radojković M. Koncept GIS-a u planiranju ruralnog razvoja. in Zbornik radova Devetog naučno-stručnog skupa sa međunarodnim učešćem "Lokalna samouprava u planiranju i uređenju prostora i naselja", Veliko Gradište. 2022;:287-290.
https://hdl.handle.net/21.15107/rcub_gery_1618 .

Valjarević, Aleksandar, Radojković, Milan, "Koncept GIS-a u planiranju ruralnog razvoja" in Zbornik radova Devetog naučno-stručnog skupa sa međunarodnim učešćem "Lokalna samouprava u planiranju i uređenju prostora i naselja", Veliko Gradište (2022):287-290,
https://hdl.handle.net/21.15107/rcub_gery_1618 .

TY  - JOUR
AU  - Milentijević, Nikola
AU  - Valjarević, Aleksandar
AU  - Bačević, Nikola
AU  - Ristić, Dušan
AU  - Kalkan, Kristina
AU  - Cimbaljević, Marija
AU  - Dragojlović, Jovan
AU  - Savić, Stevan
AU  - Pantelić, Milana
PY  - 2022
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1182
AB  - Climate change is one of the largest environmental issues causing hydroclimatological extremes such as floods, droughts, and aridity. The aim of this study is to assess the observed and projected climate changes in Bačka (Serbia). Detailed trend analyses and possible climate scenarios over Bačka has not been presented up to now. In this paper, four data sets were extracted and calculated: mean annual air temperature, mean air temperatures during the vegetation period, mean annual precipitation and total precipitation during the vegetation period. The presented parameters were obtained from the annual meteorological reports of the Republic Hydrometeorological Service of Serbia. Trend equation based on linear regression, trend magnitude according to the trend equation, and Mann-Kendall statistics have been used for trend analysis of climatic parameters. A GIS modeling of the possible climate scenario was created according to the Beijing Climate Center Climate System Model (BCC-CSM2-MR). Based on the trend equations, positive trends related to air temperature and precipitation variables are dominant. The trend magnitude shows the largest mean increase in all time series related to air temperature during the vegetation period. The highest mean precipitation increase occurs only in two time series. The Mann-Kendall statistics showed significantly positive trends in 11 cases and no changes in 9 cases. According to BCC-CSM2-MR, changes will be especially dominant in case of air temperatures. The expected changes in the total precipitation during the vegetation period show a tendency towards semiarid conditions. The presented results of observed and projected climate changes demand adaptation measures, especially from the aspect of sustainable agriculture.
PB  - Budapest : Hungarian Meteorological Service
T2  - Időjárás
T1  - Assessment of observed and projected climate changes in Bačka (Serbia) using trend analysis and climate modeling
VL  - 126
IS  - 1
SP  - 47
EP  - 68
DO  - 10.28974/idojaras.2022.1.3
ER  - 

@article{
author = "Milentijević, Nikola and Valjarević, Aleksandar and Bačević, Nikola and Ristić, Dušan and Kalkan, Kristina and Cimbaljević, Marija and Dragojlović, Jovan and Savić, Stevan and Pantelić, Milana",
year = "2022",
abstract = "Climate change is one of the largest environmental issues causing hydroclimatological extremes such as floods, droughts, and aridity. The aim of this study is to assess the observed and projected climate changes in Bačka (Serbia). Detailed trend analyses and possible climate scenarios over Bačka has not been presented up to now. In this paper, four data sets were extracted and calculated: mean annual air temperature, mean air temperatures during the vegetation period, mean annual precipitation and total precipitation during the vegetation period. The presented parameters were obtained from the annual meteorological reports of the Republic Hydrometeorological Service of Serbia. Trend equation based on linear regression, trend magnitude according to the trend equation, and Mann-Kendall statistics have been used for trend analysis of climatic parameters. A GIS modeling of the possible climate scenario was created according to the Beijing Climate Center Climate System Model (BCC-CSM2-MR). Based on the trend equations, positive trends related to air temperature and precipitation variables are dominant. The trend magnitude shows the largest mean increase in all time series related to air temperature during the vegetation period. The highest mean precipitation increase occurs only in two time series. The Mann-Kendall statistics showed significantly positive trends in 11 cases and no changes in 9 cases. According to BCC-CSM2-MR, changes will be especially dominant in case of air temperatures. The expected changes in the total precipitation during the vegetation period show a tendency towards semiarid conditions. The presented results of observed and projected climate changes demand adaptation measures, especially from the aspect of sustainable agriculture.",
publisher = "Budapest : Hungarian Meteorological Service",
journal = "Időjárás",
title = "Assessment of observed and projected climate changes in Bačka (Serbia) using trend analysis and climate modeling",
volume = "126",
number = "1",
pages = "47-68",
doi = "10.28974/idojaras.2022.1.3"
}

Milentijević, N., Valjarević, A., Bačević, N., Ristić, D., Kalkan, K., Cimbaljević, M., Dragojlović, J., Savić, S.,& Pantelić, M.. (2022). Assessment of observed and projected climate changes in Bačka (Serbia) using trend analysis and climate modeling. in Időjárás
Budapest : Hungarian Meteorological Service., 126(1), 47-68.
https://doi.org/10.28974/idojaras.2022.1.3

Milentijević N, Valjarević A, Bačević N, Ristić D, Kalkan K, Cimbaljević M, Dragojlović J, Savić S, Pantelić M. Assessment of observed and projected climate changes in Bačka (Serbia) using trend analysis and climate modeling. in Időjárás. 2022;126(1):47-68.
doi:10.28974/idojaras.2022.1.3 .

Milentijević, Nikola, Valjarević, Aleksandar, Bačević, Nikola, Ristić, Dušan, Kalkan, Kristina, Cimbaljević, Marija, Dragojlović, Jovan, Savić, Stevan, Pantelić, Milana, "Assessment of observed and projected climate changes in Bačka (Serbia) using trend analysis and climate modeling" in Időjárás, 126, no. 1 (2022):47-68,
https://doi.org/10.28974/idojaras.2022.1.3 . .

TY  - JOUR
AU  - Gulan, Ljiljana
AU  - Stajić, Jelena
AU  - Zeremski, Tijana
AU  - Durlević, Uroš
AU  - Valjarević, Aleksandar
PY  - 2022
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1319
AB  - In urban areas, forest patches and parks are usually the places where people spend most of their time outdoors. Because of poor environmental protection policy and insufficient investment in industry and energy, Serbia is often ranked among the European countries with the greatest environmental pollution. In recent years, ecological protests have been organized throughout the country with the aim of raising ecological awareness and resolving environmental issues. The topic has become particularly popular since the plans for opening new mining areas in western Serbia came to the fore. This study was conducted with the aim to investigate radioactivity levels and metals content in soil and foliage of the most popular parks in Belgrade, the capital and largest city of Serbia. Based on a GIS (geographic information system) approach, the spatial distribution maps of radionuclides (226Ra, 232Th, 40K, 7Be, and 137Cs) and metals (As, Cd, Cr, Co, Cu, Na, Ni, Pb, Zn, K, Ca, Mg, and Mn) were made. Ambient dose-equivalent rate in air was also measured. The annual effective doses and excess lifetime cancer risk from radionuclides were calculated. Health effects of exposure to heavy metals in soil were estimated by noncarcinogenic and carcinogenic risk assessment.
PB  - Basel : MDPI
T2  - Forests
T1  - Radionuclides and Metals in the Parks of the City of Belgrade, Serbia: Spatial Distribution and Health Risk Assessment
VL  - 13
IS  - 10
SP  - 1648
DO  - 10.3390/f13101648
ER  - 

@article{
author = "Gulan, Ljiljana and Stajić, Jelena and Zeremski, Tijana and Durlević, Uroš and Valjarević, Aleksandar",
year = "2022",
abstract = "In urban areas, forest patches and parks are usually the places where people spend most of their time outdoors. Because of poor environmental protection policy and insufficient investment in industry and energy, Serbia is often ranked among the European countries with the greatest environmental pollution. In recent years, ecological protests have been organized throughout the country with the aim of raising ecological awareness and resolving environmental issues. The topic has become particularly popular since the plans for opening new mining areas in western Serbia came to the fore. This study was conducted with the aim to investigate radioactivity levels and metals content in soil and foliage of the most popular parks in Belgrade, the capital and largest city of Serbia. Based on a GIS (geographic information system) approach, the spatial distribution maps of radionuclides (226Ra, 232Th, 40K, 7Be, and 137Cs) and metals (As, Cd, Cr, Co, Cu, Na, Ni, Pb, Zn, K, Ca, Mg, and Mn) were made. Ambient dose-equivalent rate in air was also measured. The annual effective doses and excess lifetime cancer risk from radionuclides were calculated. Health effects of exposure to heavy metals in soil were estimated by noncarcinogenic and carcinogenic risk assessment.",
publisher = "Basel : MDPI",
journal = "Forests",
title = "Radionuclides and Metals in the Parks of the City of Belgrade, Serbia: Spatial Distribution and Health Risk Assessment",
volume = "13",
number = "10",
pages = "1648",
doi = "10.3390/f13101648"
}

Gulan, L., Stajić, J., Zeremski, T., Durlević, U.,& Valjarević, A.. (2022). Radionuclides and Metals in the Parks of the City of Belgrade, Serbia: Spatial Distribution and Health Risk Assessment. in Forests
Basel : MDPI., 13(10), 1648.
https://doi.org/10.3390/f13101648

Gulan L, Stajić J, Zeremski T, Durlević U, Valjarević A. Radionuclides and Metals in the Parks of the City of Belgrade, Serbia: Spatial Distribution and Health Risk Assessment. in Forests. 2022;13(10):1648.
doi:10.3390/f13101648 .

Gulan, Ljiljana, Stajić, Jelena, Zeremski, Tijana, Durlević, Uroš, Valjarević, Aleksandar, "Radionuclides and Metals in the Parks of the City of Belgrade, Serbia: Spatial Distribution and Health Risk Assessment" in Forests, 13, no. 10 (2022):1648,
https://doi.org/10.3390/f13101648 . .

TY  - JOUR
AU  - Valjarević, Aleksandar
AU  - Milanović, Miško
AU  - Gultepe, Ismail
AU  - Filipović, Dejan
AU  - Lukić, Tin
PY  - 2022
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1181
AB  - The Updated Trewartha climate classification (TWCC) at global level shows the 
changes that are expected as a consequence of global temperature increase and 
imbalance of precipitation. This type of classification is more precise than the 
Köppen climate classification. Predictions included the increase in global tem perature (T in °C) and change in the amount of precipitation (PA in mm). Two 
climate models MIROC6 and IPSL-CM6A- LR were used, along with 4261 mete orological stations from which the data on temperature and precipitation were 
taken. These climate models were used because they represent the most extreme 
models in the CMIP6 database. Four scenarios of climate change and their terri tories were analysed in accordance with the TWCC classification. Four scenarios 
of representative concentration pathway (RCP) by 2.6, 4.5, 6.0 and 8.5 W/m2
 fol low the increase of temperature between 0.3°C and 4.3°C in relation to precipita tion and are being analysed for the periods 2021–2040, 2041–2060, 2061–2080 and 
2081–2100. The biggest extremes are shown in the last grid for the period 2081–
2100, reflecting the increase of T up to 4.3°C. With the help of GIS (geographical 
information systems) and spatial analyses, it is possible to estimate the changes in 
climate zones as well as their movement. Australia and South East Asia will suffer 
the biggest changes of biomes, followed by South America and North America. 
Climate belts to undergo the biggest change due to such temperature according to 
TWCC are Ar, Am, Aw and BS, BW, E, Ft and Fi. The Antarctic will lose 11.5% of 
the territory under Fi and Ft climates within the period between 2081 and 2100. 
The conclusion is that the climates BW, Bwh and Bwk, which represent the de serts, will increase by 119.8% with the increase of T by 4.3°C
PB  - John Wiley & Sons, Ltd
PB  - The Royal Geographical Society
T2  - The Geographical Journal
T1  - Updated Trewartha climate classification with four climate  change scenarios
VL  - 188
IS  - 4
SP  - 506
EP  - 517
DO  - 10.1111/geoj.12458
ER  - 

@article{
author = "Valjarević, Aleksandar and Milanović, Miško and Gultepe, Ismail and Filipović, Dejan and Lukić, Tin",
year = "2022",
abstract = "The Updated Trewartha climate classification (TWCC) at global level shows the 
changes that are expected as a consequence of global temperature increase and 
imbalance of precipitation. This type of classification is more precise than the 
Köppen climate classification. Predictions included the increase in global tem perature (T in °C) and change in the amount of precipitation (PA in mm). Two 
climate models MIROC6 and IPSL-CM6A- LR were used, along with 4261 mete orological stations from which the data on temperature and precipitation were 
taken. These climate models were used because they represent the most extreme 
models in the CMIP6 database. Four scenarios of climate change and their terri tories were analysed in accordance with the TWCC classification. Four scenarios 
of representative concentration pathway (RCP) by 2.6, 4.5, 6.0 and 8.5 W/m2
 fol low the increase of temperature between 0.3°C and 4.3°C in relation to precipita tion and are being analysed for the periods 2021–2040, 2041–2060, 2061–2080 and 
2081–2100. The biggest extremes are shown in the last grid for the period 2081–
2100, reflecting the increase of T up to 4.3°C. With the help of GIS (geographical 
information systems) and spatial analyses, it is possible to estimate the changes in 
climate zones as well as their movement. Australia and South East Asia will suffer 
the biggest changes of biomes, followed by South America and North America. 
Climate belts to undergo the biggest change due to such temperature according to 
TWCC are Ar, Am, Aw and BS, BW, E, Ft and Fi. The Antarctic will lose 11.5% of 
the territory under Fi and Ft climates within the period between 2081 and 2100. 
The conclusion is that the climates BW, Bwh and Bwk, which represent the de serts, will increase by 119.8% with the increase of T by 4.3°C",
publisher = "John Wiley & Sons, Ltd, The Royal Geographical Society",
journal = "The Geographical Journal",
title = "Updated Trewartha climate classification with four climate  change scenarios",
volume = "188",
number = "4",
pages = "506-517",
doi = "10.1111/geoj.12458"
}

Valjarević, A., Milanović, M., Gultepe, I., Filipović, D.,& Lukić, T.. (2022). Updated Trewartha climate classification with four climate  change scenarios. in The Geographical Journal
John Wiley & Sons, Ltd., 188(4), 506-517.
https://doi.org/10.1111/geoj.12458

Valjarević A, Milanović M, Gultepe I, Filipović D, Lukić T. Updated Trewartha climate classification with four climate  change scenarios. in The Geographical Journal. 2022;188(4):506-517.
doi:10.1111/geoj.12458 .

Valjarević, Aleksandar, Milanović, Miško, Gultepe, Ismail, Filipović, Dejan, Lukić, Tin, "Updated Trewartha climate classification with four climate  change scenarios" in The Geographical Journal, 188, no. 4 (2022):506-517,
https://doi.org/10.1111/geoj.12458 . .