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  - Blešić, Ivana
AU  - Ivkov, Milan
AU  - Tepavčević, Jelena
AU  - Popov Raljić, Jovanka
AU  - Petrović, Marko D.
AU  - Gajić, Tamara
AU  - Tretiakova, Tatiana N.
AU  - Syromiatnikova, Julia A.
AU  - Demirović Bajrami, Dunja
AU  - Aleksić, Milica
AU  - Vujačić, Duško
AU  - Kričković, Emina
AU  - Radojković, Milan
AU  - Morar, Cezar
AU  - Lukić, Tin
PY  - 2022
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1224
AB  - In terms of climate related security risks, the region of South-Eastern Europe (SEE) can be identified as one of the world’s hot spots. As weather-related hazards continue to increase in num-bers and spatial distribution, risk perception in the tourism industry becomes even more important. Additionally, people’s  perception of natural hazards is one of  the key elements in their decision-making process when choosing a travel destination. Although a vast number of studies have exam-ined aspects of risk perception, an integrated approach which considers both objective and subjec-tive factors related to the  tourism  industry  and hydro-meteorological hazards remains relatively scarce. This pioneering study inspects the causality between objective perceived  risks,  as  well  as subjective risk factors. A methodological approach and the obtained results present a certain nov-elty  since  the  previous  conceptualized  Psychological  Preparedness  for  Disaster  Threat  Scale (PPDTS) was applied for the first time in the tourism industry. The obtained results reveal the pres-ence of a statistically significant relationship between objective risks and certain subjective risk fac-tors (gender, age, education, prior experience, anticipation, and awareness). Therefore, this study may offer a conceptual platform for both theoretical  and practical implications for enhanced  ap-proaches oriented toward more qualitative risk management at a given travel destination, in regions prone to hydro-meteorological hazards.
PB  - Basel : MDPI
T2  - Atmosphere
T1  - Risky Travel? Subjective vs. Objective Perceived Risks in Travel Behaviour—Influence of Hydro-Meteorological Hazards in South-Eastern Europe on Serbian Tourists
VL  - 13
IS  - 10
SP  - 1671
DO  - 10.3390/atmos13101671
ER  - 

@article{
author = "Blešić, Ivana and Ivkov, Milan and Tepavčević, Jelena and Popov Raljić, Jovanka and Petrović, Marko D. and Gajić, Tamara and Tretiakova, Tatiana N. and Syromiatnikova, Julia A. and Demirović Bajrami, Dunja and Aleksić, Milica and Vujačić, Duško and Kričković, Emina and Radojković, Milan and Morar, Cezar and Lukić, Tin",
year = "2022",
abstract = "In terms of climate related security risks, the region of South-Eastern Europe (SEE) can be identified as one of the world’s hot spots. As weather-related hazards continue to increase in num-bers and spatial distribution, risk perception in the tourism industry becomes even more important. Additionally, people’s  perception of natural hazards is one of  the key elements in their decision-making process when choosing a travel destination. Although a vast number of studies have exam-ined aspects of risk perception, an integrated approach which considers both objective and subjec-tive factors related to the  tourism  industry  and hydro-meteorological hazards remains relatively scarce. This pioneering study inspects the causality between objective perceived  risks,  as  well  as subjective risk factors. A methodological approach and the obtained results present a certain nov-elty  since  the  previous  conceptualized  Psychological  Preparedness  for  Disaster  Threat  Scale (PPDTS) was applied for the first time in the tourism industry. The obtained results reveal the pres-ence of a statistically significant relationship between objective risks and certain subjective risk fac-tors (gender, age, education, prior experience, anticipation, and awareness). Therefore, this study may offer a conceptual platform for both theoretical  and practical implications for enhanced  ap-proaches oriented toward more qualitative risk management at a given travel destination, in regions prone to hydro-meteorological hazards.",
publisher = "Basel : MDPI",
journal = "Atmosphere",
title = "Risky Travel? Subjective vs. Objective Perceived Risks in Travel Behaviour—Influence of Hydro-Meteorological Hazards in South-Eastern Europe on Serbian Tourists",
volume = "13",
number = "10",
pages = "1671",
doi = "10.3390/atmos13101671"
}

Blešić, I., Ivkov, M., Tepavčević, J., Popov Raljić, J., Petrović, M. D., Gajić, T., Tretiakova, T. N., Syromiatnikova, J. A., Demirović Bajrami, D., Aleksić, M., Vujačić, D., Kričković, E., Radojković, M., Morar, C.,& Lukić, T.. (2022). Risky Travel? Subjective vs. Objective Perceived Risks in Travel Behaviour—Influence of Hydro-Meteorological Hazards in South-Eastern Europe on Serbian Tourists. in Atmosphere
Basel : MDPI., 13(10), 1671.
https://doi.org/10.3390/atmos13101671

Blešić I, Ivkov M, Tepavčević J, Popov Raljić J, Petrović MD, Gajić T, Tretiakova TN, Syromiatnikova JA, Demirović Bajrami D, Aleksić M, Vujačić D, Kričković E, Radojković M, Morar C, Lukić T. Risky Travel? Subjective vs. Objective Perceived Risks in Travel Behaviour—Influence of Hydro-Meteorological Hazards in South-Eastern Europe on Serbian Tourists. in Atmosphere. 2022;13(10):1671.
doi:10.3390/atmos13101671 .

Blešić, Ivana, Ivkov, Milan, Tepavčević, Jelena, Popov Raljić, Jovanka, Petrović, Marko D., Gajić, Tamara, Tretiakova, Tatiana N., Syromiatnikova, Julia A., Demirović Bajrami, Dunja, Aleksić, Milica, Vujačić, Duško, Kričković, Emina, Radojković, Milan, Morar, Cezar, Lukić, Tin, "Risky Travel? Subjective vs. Objective Perceived Risks in Travel Behaviour—Influence of Hydro-Meteorological Hazards in South-Eastern Europe on Serbian Tourists" in Atmosphere, 13, no. 10 (2022):1671,
https://doi.org/10.3390/atmos13101671 . .

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 . .

TY  - JOUR
AU  - Durlević, Uroš
AU  - Novković, Ivan
AU  - Lukić, Tin
AU  - Valjarević, Aleksandar
AU  - Samardžić, Ivan
AU  - Krstić, Filip
AU  - Batoćanin, Natalija
AU  - Mijatov, Maja
AU  - Ćurić, Vladimir
PY  - 2021
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1333
AB  - The municipality of Štrpce (Southern Serbia) is
an area located within Šar Mountain National Park, which
is of great ecological importance. Due to the vicinity of
settlements, it is necessary to analyze the terrain's susceptibility
to natural hazards. The main goal of this research
was to determine locations that are highly vulnerable at
times of natural hazards (such as earthquakes, erosion,
torrential flooding, snow avalanches, and forest fires).
The first step in this research was to analyze seismic
hazards for a 475 years return period (VII–VIII MCS for
the observed area), which was possible by means of
Geographic Information Systems. The second step was to
determine the intensity of erosion and total sediment production
using the Erosion Potential Model. The third step
was related to the analysis of the potential of torrential
floods using the Flash Flood Potential Index. The Avalanches
Potential Index method was used as the fourth step. The fifth
step included the analysis of a terrain susceptibility to the
occurrence of forest fires. Following the five criteria analysis,
weight coefficients were assigned to each of the analyzed parameters
by using the Analytical Hierarchy Process (AHP), which
provided results of the total susceptibility to natural hazards of
the territory of Štrpce. Results indicated that over 45% of the
municipality is highly or very highly susceptible to various
natural hazards. This article represents a significant step
toward a better understanding of natural hazards and it
provides a unique knowledge basis for establishing the
management and mitigation guidelines and measures,
not only within the researched area but at regional and
national levels as well.
PB  - De Gruyter Open Access
T2  - Open Geosciences
T1  - Multihazard susceptibility assessment: A case study – Municipality of Štrpce (Southern Serbia)
VL  - 13
IS  - 1
SP  - 1414
EP  - 1431
DO  - 10.1515/geo-2020-0314
ER  - 

@article{
author = "Durlević, Uroš and Novković, Ivan and Lukić, Tin and Valjarević, Aleksandar and Samardžić, Ivan and Krstić, Filip and Batoćanin, Natalija and Mijatov, Maja and Ćurić, Vladimir",
year = "2021",
abstract = "The municipality of Štrpce (Southern Serbia) is
an area located within Šar Mountain National Park, which
is of great ecological importance. Due to the vicinity of
settlements, it is necessary to analyze the terrain's susceptibility
to natural hazards. The main goal of this research
was to determine locations that are highly vulnerable at
times of natural hazards (such as earthquakes, erosion,
torrential flooding, snow avalanches, and forest fires).
The first step in this research was to analyze seismic
hazards for a 475 years return period (VII–VIII MCS for
the observed area), which was possible by means of
Geographic Information Systems. The second step was to
determine the intensity of erosion and total sediment production
using the Erosion Potential Model. The third step
was related to the analysis of the potential of torrential
floods using the Flash Flood Potential Index. The Avalanches
Potential Index method was used as the fourth step. The fifth
step included the analysis of a terrain susceptibility to the
occurrence of forest fires. Following the five criteria analysis,
weight coefficients were assigned to each of the analyzed parameters
by using the Analytical Hierarchy Process (AHP), which
provided results of the total susceptibility to natural hazards of
the territory of Štrpce. Results indicated that over 45% of the
municipality is highly or very highly susceptible to various
natural hazards. This article represents a significant step
toward a better understanding of natural hazards and it
provides a unique knowledge basis for establishing the
management and mitigation guidelines and measures,
not only within the researched area but at regional and
national levels as well.",
publisher = "De Gruyter Open Access",
journal = "Open Geosciences",
title = "Multihazard susceptibility assessment: A case study – Municipality of Štrpce (Southern Serbia)",
volume = "13",
number = "1",
pages = "1414-1431",
doi = "10.1515/geo-2020-0314"
}

Durlević, U., Novković, I., Lukić, T., Valjarević, A., Samardžić, I., Krstić, F., Batoćanin, N., Mijatov, M.,& Ćurić, V.. (2021). Multihazard susceptibility assessment: A case study – Municipality of Štrpce (Southern Serbia). in Open Geosciences
De Gruyter Open Access., 13(1), 1414-1431.
https://doi.org/10.1515/geo-2020-0314

Durlević U, Novković I, Lukić T, Valjarević A, Samardžić I, Krstić F, Batoćanin N, Mijatov M, Ćurić V. Multihazard susceptibility assessment: A case study – Municipality of Štrpce (Southern Serbia). in Open Geosciences. 2021;13(1):1414-1431.
doi:10.1515/geo-2020-0314 .

Durlević, Uroš, Novković, Ivan, Lukić, Tin, Valjarević, Aleksandar, Samardžić, Ivan, Krstić, Filip, Batoćanin, Natalija, Mijatov, Maja, Ćurić, Vladimir, "Multihazard susceptibility assessment: A case study – Municipality of Štrpce (Southern Serbia)" in Open Geosciences, 13, no. 1 (2021):1414-1431,
https://doi.org/10.1515/geo-2020-0314 . .

TY  - JOUR
AU  - Valjarević, Aleksandar
AU  - Filipović, Dejan
AU  - Valjarević, Dragana
AU  - Milanović, Miško
AU  - Milosević, Slavisa
AU  - Živić, Nebojša
AU  - Lukić, Tin
PY  - 2020
UR  - https://gery.gef.bg.ac.rs/handle/123456789/1057
AB  - With the help of satellite data and numerical geographical information system (GIS) methods, the total capacity of dew volume on the entire territory of the Republic of Serbia was estimated. Multicriteria GIS analysis and satellite detections with the support of methods such as kriging and semi-kriging gave satisfactory results in the present research. After the download of satellite data, they were compared with meteorological data for precipitation, evaporation and air temperature. A very precise grid in 1 x 1 degrees of longitude and latitude was created. The average estimated dew potential for the territory of Serbia is 20-40 mm.year(-1)for the south of the country, 15 mm.year(-1)for the north, 30-50 mm.year(-1)for the central region and 20-30 mm.year(-1)for the east. In most drought regions, it is  lt  10 mm.year(-1).m(-2). Counties with the largest dew capacity (between 15,200 and 20,000 L) include Borski, Nisavski and Jablanicki in the eastern part of the country, as well as Zlatiborski, Raski and Pec in the western and southern parts, respectively. On the other hand, counties with the lowest dew capacity (2,000-3,000 L) encompass northern parts of Serbia (Sremski, Severno-Banatski, Srednje-Banatski, Juzno-Banatski, Severno-Backi and Zapadno-Backi). The possibility for dew use is particularly strong during the spring. The estimated total capacity of the dew potential for Serbia is 1.5 x 10(7)L. By comparing the obtained data for Serbia, it is concluded that the amount of this type of water resource is not large, but enough for use in agricultural and other economic sectors.
PB  - Wiley, Hoboken
T2  - Meteorological Applications
T1  - GIS and remote sensing techniques for the estimation of dew volume in the Republic of Serbia
VL  - 27
IS  - 3
DO  - 10.1002/met.1930
UR  - https://hdl.handle.net/21.15107/rcub_gery_1057
ER  - 

@article{
author = "Valjarević, Aleksandar and Filipović, Dejan and Valjarević, Dragana and Milanović, Miško and Milosević, Slavisa and Živić, Nebojša and Lukić, Tin",
year = "2020",
abstract = "With the help of satellite data and numerical geographical information system (GIS) methods, the total capacity of dew volume on the entire territory of the Republic of Serbia was estimated. Multicriteria GIS analysis and satellite detections with the support of methods such as kriging and semi-kriging gave satisfactory results in the present research. After the download of satellite data, they were compared with meteorological data for precipitation, evaporation and air temperature. A very precise grid in 1 x 1 degrees of longitude and latitude was created. The average estimated dew potential for the territory of Serbia is 20-40 mm.year(-1)for the south of the country, 15 mm.year(-1)for the north, 30-50 mm.year(-1)for the central region and 20-30 mm.year(-1)for the east. In most drought regions, it is  lt  10 mm.year(-1).m(-2). Counties with the largest dew capacity (between 15,200 and 20,000 L) include Borski, Nisavski and Jablanicki in the eastern part of the country, as well as Zlatiborski, Raski and Pec in the western and southern parts, respectively. On the other hand, counties with the lowest dew capacity (2,000-3,000 L) encompass northern parts of Serbia (Sremski, Severno-Banatski, Srednje-Banatski, Juzno-Banatski, Severno-Backi and Zapadno-Backi). The possibility for dew use is particularly strong during the spring. The estimated total capacity of the dew potential for Serbia is 1.5 x 10(7)L. By comparing the obtained data for Serbia, it is concluded that the amount of this type of water resource is not large, but enough for use in agricultural and other economic sectors.",
publisher = "Wiley, Hoboken",
journal = "Meteorological Applications",
title = "GIS and remote sensing techniques for the estimation of dew volume in the Republic of Serbia",
volume = "27",
number = "3",
doi = "10.1002/met.1930",
url = "https://hdl.handle.net/21.15107/rcub_gery_1057"
}

Valjarević, A., Filipović, D., Valjarević, D., Milanović, M., Milosević, S., Živić, N.,& Lukić, T.. (2020). GIS and remote sensing techniques for the estimation of dew volume in the Republic of Serbia. in Meteorological Applications
Wiley, Hoboken., 27(3).
https://doi.org/10.1002/met.1930
https://hdl.handle.net/21.15107/rcub_gery_1057

Valjarević A, Filipović D, Valjarević D, Milanović M, Milosević S, Živić N, Lukić T. GIS and remote sensing techniques for the estimation of dew volume in the Republic of Serbia. in Meteorological Applications. 2020;27(3).
doi:10.1002/met.1930
https://hdl.handle.net/21.15107/rcub_gery_1057 .

Valjarević, Aleksandar, Filipović, Dejan, Valjarević, Dragana, Milanović, Miško, Milosević, Slavisa, Živić, Nebojša, Lukić, Tin, "GIS and remote sensing techniques for the estimation of dew volume in the Republic of Serbia" in Meteorological Applications, 27, no. 3 (2020),
https://doi.org/10.1002/met.1930 .,
https://hdl.handle.net/21.15107/rcub_gery_1057 .