TY  - JOUR
AU  - Malinović-Milićević, Slavica
AU  - Radovanović, Milan M.
AU  - Radenković, Sonja D.
AU  - Vyklyuk, Yaroslav
AU  - Milovanović, Boško
AU  - Milanović Pešić, Ana
AU  - Milenković, Milan
AU  - Popović, Vladimir
AU  - Petrović, Marko
AU  - Sydor, Petro
AU  - Gajić, Mirjana
PY  - 2023
UR  - https://dais.sanu.ac.rs/123456789/14049
AB  - This research is devoted to the determination of hidden dependencies between the flow of particles that come from the Sun and precipitation-induced floods in the United Kingdom (UK). The analysis covers 20 flood events during the period from October 2001 to December 2019. The parameters of solar activity were used as model input data, while precipitations data in the period 10 days before and during each flood event were used as model output. The time lag of 0–9 days was taken into account in the research. Correlation analysis was conducted to determine the degree of randomness for the time series of input and output parameters. For establishing a potential causative link, machine learning classification predictive modeling was applied. Two approaches, the decision tree, and the random forest were used. We analyzed the accuracy of classification models forecast from 0 to 9 days in advance. It was found that the most important factors for flood forecasting are proton density with a time lag of 9, differential proton flux in the range of 310–580 keV, and ion temperature. Research in this paper has shown that the decision tree model is more accurate and adequate in predicting the appearance of precipitation-induced floods up to 9 days ahead with an accuracy of 91%. The results of this study confirmed that by increasing technical capabilities, using improved machine learning techniques and large data sets, it is possible to improve the understanding of the physical link between the solar wind and tropospheric weather and help improve severe weather forecasting.
PB  - MDPI AG
T2  - Mathematics
T1  - Application of Solar Activity Time Series in Machine Learning Predictive Modeling of Precipitation-Induced Floods
SP  - 795
VL  - 11
IS  - 4
DO  - 10.3390/math11040795
UR  - https://hdl.handle.net/21.15107/rcub_dais_14049
ER  - 

@article{
author = "Malinović-Milićević, Slavica and Radovanović, Milan M. and Radenković, Sonja D. and Vyklyuk, Yaroslav and Milovanović, Boško and Milanović Pešić, Ana and Milenković, Milan and Popović, Vladimir and Petrović, Marko and Sydor, Petro and Gajić, Mirjana",
year = "2023",
abstract = "This research is devoted to the determination of hidden dependencies between the flow of particles that come from the Sun and precipitation-induced floods in the United Kingdom (UK). The analysis covers 20 flood events during the period from October 2001 to December 2019. The parameters of solar activity were used as model input data, while precipitations data in the period 10 days before and during each flood event were used as model output. The time lag of 0–9 days was taken into account in the research. Correlation analysis was conducted to determine the degree of randomness for the time series of input and output parameters. For establishing a potential causative link, machine learning classification predictive modeling was applied. Two approaches, the decision tree, and the random forest were used. We analyzed the accuracy of classification models forecast from 0 to 9 days in advance. It was found that the most important factors for flood forecasting are proton density with a time lag of 9, differential proton flux in the range of 310–580 keV, and ion temperature. Research in this paper has shown that the decision tree model is more accurate and adequate in predicting the appearance of precipitation-induced floods up to 9 days ahead with an accuracy of 91%. The results of this study confirmed that by increasing technical capabilities, using improved machine learning techniques and large data sets, it is possible to improve the understanding of the physical link between the solar wind and tropospheric weather and help improve severe weather forecasting.",
publisher = "MDPI AG",
journal = "Mathematics",
title = "Application of Solar Activity Time Series in Machine Learning Predictive Modeling of Precipitation-Induced Floods",
pages = "795",
volume = "11",
number = "4",
doi = "10.3390/math11040795",
url = "https://hdl.handle.net/21.15107/rcub_dais_14049"
}

Malinović-Milićević, S., Radovanović, M. M., Radenković, S. D., Vyklyuk, Y., Milovanović, B., Milanović Pešić, A., Milenković, M., Popović, V., Petrović, M., Sydor, P.,& Gajić, M.. (2023). Application of Solar Activity Time Series in Machine Learning Predictive Modeling of Precipitation-Induced Floods. in Mathematics
MDPI AG., 11(4), 795.
https://doi.org/10.3390/math11040795
https://hdl.handle.net/21.15107/rcub_dais_14049

Malinović-Milićević S, Radovanović MM, Radenković SD, Vyklyuk Y, Milovanović B, Milanović Pešić A, Milenković M, Popović V, Petrović M, Sydor P, Gajić M. Application of Solar Activity Time Series in Machine Learning Predictive Modeling of Precipitation-Induced Floods. in Mathematics. 2023;11(4):795.
doi:10.3390/math11040795
https://hdl.handle.net/21.15107/rcub_dais_14049 .

Malinović-Milićević, Slavica, Radovanović, Milan M., Radenković, Sonja D., Vyklyuk, Yaroslav, Milovanović, Boško, Milanović Pešić, Ana, Milenković, Milan, Popović, Vladimir, Petrović, Marko, Sydor, Petro, Gajić, Mirjana, "Application of Solar Activity Time Series in Machine Learning Predictive Modeling of Precipitation-Induced Floods" in Mathematics, 11, no. 4 (2023):795,
https://doi.org/10.3390/math11040795 .,
https://hdl.handle.net/21.15107/rcub_dais_14049 .

TY  - JOUR
AU  - Vyklyuk, Yaroslav
AU  - Radovanović, Milan M.
AU  - Petrović, Marko D.
AU  - Ćurčić, Nina B.
AU  - Milenković, Milan
AU  - Malinović-Milićević, Slavica
AU  - Milovanović, Bosko
AU  - Yamashkin, Anatoliy A.
AU  - Milanović Pešić, Ana
AU  - Lukić, Dobrila
AU  - Gajić, Mirjana
PY  - 2020
UR  - https://dais.sanu.ac.rs/123456789/13407
AB  - The impact of solar activity on environmental processes is difficult to understand and complex for empirical modeling. This study aimed to establish forecast models of the meteorological conditions in the forest fire areas based on the solar activity parameters applying the neural networks approach. During July and August 2018, severe forest fires simultaneously occurred in the State of California (USA), Portugal, and Greece. Air temperature and humidity data together with solar parameters (integral flux of solar protons, differential electron flux and proton flux, solar wind plasma parameters, and solar radio flux at 10.7 cm data) were used in long short-term memory (LSTM) recurrent neural network ensembles. It is found that solar activity mostly affects the humidity for two stations in California and Portugal (an increase in the integral flux of solar protons of > 30 MeV by 10% increases the humidity by 3.25%, 1.65%, and 1.57%, respectively). Furthermore, an increase in air temperature of 10% increases the humidity by 2.55%, 2.01%, and 0.26%, respectively. It is shown that temperature is less sensitive to changes in solar parameters but depends on previous conditions (previous increase of 10% increases the current temperature by 0.75%, 0.34%, and 0.33%, respectively). Humidity in Greece is mostly impacted by solar flux F10.7 cm and previous values of humidity. An increase in these factors by 10% will lead to a decrease in the humidity of 3.89% or an increase of 1.31%, while air temperature mostly depends on ion temperature. If this factor increases by 10%, it will lead to air temperature rising by 0.42%
PB  - Basel, Switzerland : MDPI.
T2  - Sustainability
T1  - Connection of Solar Activities and Forest Fires in 2018: Events in the USA (California), Portugal and Greece
SP  - 10261
VL  - 12
IS  - 24
DO  - 10.3390/su122410261
UR  - https://hdl.handle.net/21.15107/rcub_dais_13407
ER  - 

@article{
author = "Vyklyuk, Yaroslav and Radovanović, Milan M. and Petrović, Marko D. and Ćurčić, Nina B. and Milenković, Milan and Malinović-Milićević, Slavica and Milovanović, Bosko and Yamashkin, Anatoliy A. and Milanović Pešić, Ana and Lukić, Dobrila and Gajić, Mirjana",
year = "2020",
abstract = "The impact of solar activity on environmental processes is difficult to understand and complex for empirical modeling. This study aimed to establish forecast models of the meteorological conditions in the forest fire areas based on the solar activity parameters applying the neural networks approach. During July and August 2018, severe forest fires simultaneously occurred in the State of California (USA), Portugal, and Greece. Air temperature and humidity data together with solar parameters (integral flux of solar protons, differential electron flux and proton flux, solar wind plasma parameters, and solar radio flux at 10.7 cm data) were used in long short-term memory (LSTM) recurrent neural network ensembles. It is found that solar activity mostly affects the humidity for two stations in California and Portugal (an increase in the integral flux of solar protons of > 30 MeV by 10% increases the humidity by 3.25%, 1.65%, and 1.57%, respectively). Furthermore, an increase in air temperature of 10% increases the humidity by 2.55%, 2.01%, and 0.26%, respectively. It is shown that temperature is less sensitive to changes in solar parameters but depends on previous conditions (previous increase of 10% increases the current temperature by 0.75%, 0.34%, and 0.33%, respectively). Humidity in Greece is mostly impacted by solar flux F10.7 cm and previous values of humidity. An increase in these factors by 10% will lead to a decrease in the humidity of 3.89% or an increase of 1.31%, while air temperature mostly depends on ion temperature. If this factor increases by 10%, it will lead to air temperature rising by 0.42%",
publisher = "Basel, Switzerland : MDPI.",
journal = "Sustainability",
title = "Connection of Solar Activities and Forest Fires in 2018: Events in the USA (California), Portugal and Greece",
pages = "10261",
volume = "12",
number = "24",
doi = "10.3390/su122410261",
url = "https://hdl.handle.net/21.15107/rcub_dais_13407"
}

Vyklyuk, Y., Radovanović, M. M., Petrović, M. D., Ćurčić, N. B., Milenković, M., Malinović-Milićević, S., Milovanović, B., Yamashkin, A. A., Milanović Pešić, A., Lukić, D.,& Gajić, M.. (2020). Connection of Solar Activities and Forest Fires in 2018: Events in the USA (California), Portugal and Greece. in Sustainability
Basel, Switzerland : MDPI.., 12(24), 10261.
https://doi.org/10.3390/su122410261
https://hdl.handle.net/21.15107/rcub_dais_13407

Vyklyuk Y, Radovanović MM, Petrović MD, Ćurčić NB, Milenković M, Malinović-Milićević S, Milovanović B, Yamashkin AA, Milanović Pešić A, Lukić D, Gajić M. Connection of Solar Activities and Forest Fires in 2018: Events in the USA (California), Portugal and Greece. in Sustainability. 2020;12(24):10261.
doi:10.3390/su122410261
https://hdl.handle.net/21.15107/rcub_dais_13407 .

Vyklyuk, Yaroslav, Radovanović, Milan M., Petrović, Marko D., Ćurčić, Nina B., Milenković, Milan, Malinović-Milićević, Slavica, Milovanović, Bosko, Yamashkin, Anatoliy A., Milanović Pešić, Ana, Lukić, Dobrila, Gajić, Mirjana, "Connection of Solar Activities and Forest Fires in 2018: Events in the USA (California), Portugal and Greece" in Sustainability, 12, no. 24 (2020):10261,
https://doi.org/10.3390/su122410261 .,
https://hdl.handle.net/21.15107/rcub_dais_13407 .

TY  - JOUR
AU  - Vyklyuk, Yaroslav
AU  - Radovanović, Milan. M.
AU  - Stanojević, Gorica B.
AU  - Milovanović, Boško
AU  - Taras, Leko
AU  - Milenković, Milan
AU  - Petrović, Marko
AU  - Yamashkin, Anatoly A.
AU  - Milanović Pešić, Ana
AU  - Jakovljević, Dejana
AU  - Malinović Milićević, Slavica
PY  - 2018
UR  - https://dais.sanu.ac.rs/123456789/13855
AB  - This research presents improved results on modelling relationship between the flow of charged particles that are coming from the Sun and hurricanes. For establishing eventual link, the methods of Big Data, such as Adaptive Neuro Fuzzy Inference System (ANFIS), Parallel Calculations, Fractal analysis etc., are applied. The parameters of solar activity were used as model input data, while data on hurricane phenomenon were used as model output, and both of these on daily level for May–October in period 1999–2013. The nonlinear R/S analysis was conducted to determine the degree of randomness for time series of input and output parameters. The time lag of 0–10 days was taken into account in the research. It led to growing input parameters up to 99. The problem of finding hidden dependencies in large databases refers to the problems of Data Mining. The ANFIS with Sugeno function of zero order was selected as a method of output fuzzy system. The “brute-force attack” method was used to find the most significant factors from all data. To do this, more than 3 million ANFIS models were tested on Computer Cluster using Parallel Calculation. Within the experiments, eight input factors were calculated as a base for building the final ANFIS models. These models can predict up to 39% of the hurricanes. This means, if causal link exists, approximately every third penetration of charged particles from coronary hole(s) or/and from the energetic region(s) toward the Earth precede the hurricanes.
PB  - Netherlands : Elsevier Ltd.
T2  - Journal of Atmospheric and Solar-Terrestrial Physics
T1  - Hurricane genesis modeling based on the relationship between solar activity and hurricanes II
SP  - 159
EP  - 164
VL  - 180
DO  - 10.1016/j.jastp.2017.09.008
UR  - https://hdl.handle.net/21.15107/rcub_dais_13855
ER  - 

@article{
author = "Vyklyuk, Yaroslav and Radovanović, Milan. M. and Stanojević, Gorica B. and Milovanović, Boško and Taras, Leko and Milenković, Milan and Petrović, Marko and Yamashkin, Anatoly A. and Milanović Pešić, Ana and Jakovljević, Dejana and Malinović Milićević, Slavica",
year = "2018",
abstract = "This research presents improved results on modelling relationship between the flow of charged particles that are coming from the Sun and hurricanes. For establishing eventual link, the methods of Big Data, such as Adaptive Neuro Fuzzy Inference System (ANFIS), Parallel Calculations, Fractal analysis etc., are applied. The parameters of solar activity were used as model input data, while data on hurricane phenomenon were used as model output, and both of these on daily level for May–October in period 1999–2013. The nonlinear R/S analysis was conducted to determine the degree of randomness for time series of input and output parameters. The time lag of 0–10 days was taken into account in the research. It led to growing input parameters up to 99. The problem of finding hidden dependencies in large databases refers to the problems of Data Mining. The ANFIS with Sugeno function of zero order was selected as a method of output fuzzy system. The “brute-force attack” method was used to find the most significant factors from all data. To do this, more than 3 million ANFIS models were tested on Computer Cluster using Parallel Calculation. Within the experiments, eight input factors were calculated as a base for building the final ANFIS models. These models can predict up to 39% of the hurricanes. This means, if causal link exists, approximately every third penetration of charged particles from coronary hole(s) or/and from the energetic region(s) toward the Earth precede the hurricanes.",
publisher = "Netherlands : Elsevier Ltd.",
journal = "Journal of Atmospheric and Solar-Terrestrial Physics",
title = "Hurricane genesis modeling based on the relationship between solar activity and hurricanes II",
pages = "159-164",
volume = "180",
doi = "10.1016/j.jastp.2017.09.008",
url = "https://hdl.handle.net/21.15107/rcub_dais_13855"
}

Vyklyuk, Y., Radovanović, Milan. M., Stanojević, G. B., Milovanović, B., Taras, L., Milenković, M., Petrović, M., Yamashkin, A. A., Milanović Pešić, A., Jakovljević, D.,& Malinović Milićević, S.. (2018). Hurricane genesis modeling based on the relationship between solar activity and hurricanes II. in Journal of Atmospheric and Solar-Terrestrial Physics
Netherlands : Elsevier Ltd.., 180, 159-164.
https://doi.org/10.1016/j.jastp.2017.09.008
https://hdl.handle.net/21.15107/rcub_dais_13855

Vyklyuk Y, Radovanović MM, Stanojević GB, Milovanović B, Taras L, Milenković M, Petrović M, Yamashkin AA, Milanović Pešić A, Jakovljević D, Malinović Milićević S. Hurricane genesis modeling based on the relationship between solar activity and hurricanes II. in Journal of Atmospheric and Solar-Terrestrial Physics. 2018;180:159-164.
doi:10.1016/j.jastp.2017.09.008
https://hdl.handle.net/21.15107/rcub_dais_13855 .

Vyklyuk, Yaroslav, Radovanović, Milan. M., Stanojević, Gorica B., Milovanović, Boško, Taras, Leko, Milenković, Milan, Petrović, Marko, Yamashkin, Anatoly A., Milanović Pešić, Ana, Jakovljević, Dejana, Malinović Milićević, Slavica, "Hurricane genesis modeling based on the relationship between solar activity and hurricanes II" in Journal of Atmospheric and Solar-Terrestrial Physics, 180 (2018):159-164,
https://doi.org/10.1016/j.jastp.2017.09.008 .,
https://hdl.handle.net/21.15107/rcub_dais_13855 .

TY  - CONF
AU  - Milenković, Milan
AU  - Babić, Violeta
AU  - Krstić, Milun
AU  - Stojanović, Jasna
PY  - 2017
UR  - https://dais.sanu.ac.rs/123456789/13666
AB  - In the Deliblato Sands Austrian pine (Pinus nigra Arnold) and Scots pine (P. sylvestris L.) are present. These species mainly constitute single species plantations which are very endangered by fires. The greatest fires in this area were recorded in 1973, 1990, 1996 and 2007. In this stand type, rapid spread of diseases and pests is also the problem. In the Deliblato Sands such stands should be avoided, especially on large areas. The pines should be mixed with deciduous species, and prime consideration should be given to habitat conditions. Deciduous species that are autochthonous in this area (limes and oaks) should be favoured.
PB  - Užice : Bussiness and Thechnical College of Vacation Studies
C3  - 10th International Scientific Conference “Science and Higher Education in Function of Sustainable Development”
T1  - Pines in the Deliblato Sands: Ecological Lessons
SP  - 20
EP  - 24
UR  - https://hdl.handle.net/21.15107/rcub_dais_13666
ER  - 

@conference{
author = "Milenković, Milan and Babić, Violeta and Krstić, Milun and Stojanović, Jasna",
year = "2017",
abstract = "In the Deliblato Sands Austrian pine (Pinus nigra Arnold) and Scots pine (P. sylvestris L.) are present. These species mainly constitute single species plantations which are very endangered by fires. The greatest fires in this area were recorded in 1973, 1990, 1996 and 2007. In this stand type, rapid spread of diseases and pests is also the problem. In the Deliblato Sands such stands should be avoided, especially on large areas. The pines should be mixed with deciduous species, and prime consideration should be given to habitat conditions. Deciduous species that are autochthonous in this area (limes and oaks) should be favoured.",
publisher = "Užice : Bussiness and Thechnical College of Vacation Studies",
journal = "10th International Scientific Conference “Science and Higher Education in Function of Sustainable Development”",
title = "Pines in the Deliblato Sands: Ecological Lessons",
pages = "20-24",
url = "https://hdl.handle.net/21.15107/rcub_dais_13666"
}

Milenković, M., Babić, V., Krstić, M.,& Stojanović, J.. (2017). Pines in the Deliblato Sands: Ecological Lessons. in 10th International Scientific Conference “Science and Higher Education in Function of Sustainable Development”
Užice : Bussiness and Thechnical College of Vacation Studies., 20-24.
https://hdl.handle.net/21.15107/rcub_dais_13666

Milenković M, Babić V, Krstić M, Stojanović J. Pines in the Deliblato Sands: Ecological Lessons. in 10th International Scientific Conference “Science and Higher Education in Function of Sustainable Development”. 2017;:20-24.
https://hdl.handle.net/21.15107/rcub_dais_13666 .

Milenković, Milan, Babić, Violeta, Krstić, Milun, Stojanović, Jasna, "Pines in the Deliblato Sands: Ecological Lessons" in 10th International Scientific Conference “Science and Higher Education in Function of Sustainable Development” (2017):20-24,
https://hdl.handle.net/21.15107/rcub_dais_13666 .

TY  - CONF
AU  - Denda, Stefan
AU  - Stojanović, Jasna
AU  - Milenković, Milan
AU  - Jojić Glavonjić, Tamara
PY  - 2017
UR  - https://dais.sanu.ac.rs/123456789/1498
AB  - Tourism is one of the fastest growing activities in the world. This is confirmed by data on the number of tourists and overnight stays, followed by pronounced economic effects. Modern tourism business requires a trained and skilled workforce. This is especially important if we take into account that tourism is a labor-intensive industry. The man is the main service producer. Education of the staff for work  in the service  sector requires  knowledge from  various fields  (geography,  economics,  sociology,  management,  philology, psychology, ecology, technology, medicine, etc.). Consequently, tourism workers must possess a broad general and humanistic culture and education.The aim of this paper is to analyze the study programmes of higher education institutions from Serbia which educate staff in the  field of tourism  and hospitality. This will point out the multidisciplinary knowledge  required in  both operational as well in the managerial and scientific-research sector.
PB  - Užice : Business and Technical College of Vocational Studies
C3  - 10th International Conference "Science and Higher Education in Function of Sustainable Development - SED 2017": proceedings
T1  - The role of higher education institutions in human resource education in tourism: The case of Serbia
SP  - 26
EP  - 33
UR  - https://hdl.handle.net/21.15107/rcub_dais_1498
ER  - 

@conference{
author = "Denda, Stefan and Stojanović, Jasna and Milenković, Milan and Jojić Glavonjić, Tamara",
year = "2017",
abstract = "Tourism is one of the fastest growing activities in the world. This is confirmed by data on the number of tourists and overnight stays, followed by pronounced economic effects. Modern tourism business requires a trained and skilled workforce. This is especially important if we take into account that tourism is a labor-intensive industry. The man is the main service producer. Education of the staff for work  in the service  sector requires  knowledge from  various fields  (geography,  economics,  sociology,  management,  philology, psychology, ecology, technology, medicine, etc.). Consequently, tourism workers must possess a broad general and humanistic culture and education.The aim of this paper is to analyze the study programmes of higher education institutions from Serbia which educate staff in the  field of tourism  and hospitality. This will point out the multidisciplinary knowledge  required in  both operational as well in the managerial and scientific-research sector.",
publisher = "Užice : Business and Technical College of Vocational Studies",
journal = "10th International Conference "Science and Higher Education in Function of Sustainable Development - SED 2017": proceedings",
title = "The role of higher education institutions in human resource education in tourism: The case of Serbia",
pages = "26-33",
url = "https://hdl.handle.net/21.15107/rcub_dais_1498"
}

Denda, S., Stojanović, J., Milenković, M.,& Jojić Glavonjić, T.. (2017). The role of higher education institutions in human resource education in tourism: The case of Serbia. in 10th International Conference "Science and Higher Education in Function of Sustainable Development - SED 2017": proceedings
Užice : Business and Technical College of Vocational Studies., 26-33.
https://hdl.handle.net/21.15107/rcub_dais_1498

Denda S, Stojanović J, Milenković M, Jojić Glavonjić T. The role of higher education institutions in human resource education in tourism: The case of Serbia. in 10th International Conference "Science and Higher Education in Function of Sustainable Development - SED 2017": proceedings. 2017;:26-33.
https://hdl.handle.net/21.15107/rcub_dais_1498 .

Denda, Stefan, Stojanović, Jasna, Milenković, Milan, Jojić Glavonjić, Tamara, "The role of higher education institutions in human resource education in tourism: The case of Serbia" in 10th International Conference "Science and Higher Education in Function of Sustainable Development - SED 2017": proceedings (2017):26-33,
https://hdl.handle.net/21.15107/rcub_dais_1498 .

TY  - JOUR
AU  - Vyklyuk, Yaroslav
AU  - Radovanović, Milan M.
AU  - Milovanović, Boško
AU  - Leko, Taras
AU  - Milenković, Milan
AU  - Milošević, Zoran
AU  - Milanović Pešić, Ana
AU  - Jakovljević, Dejana M.
PY  - 2017
UR  - https://dais.sanu.ac.rs/123456789/1058
AB  - The work examines the potential causative link between the flow of charged particles that are coming from the Sun and hurricanes. For establishing eventual link, the method of correlation analysis is applied, but with the phase shift of 0–5 days. There are nine parameters which are observed as an input, and daily values of the hurricane phenomenon are observed as an output in the period May–October 1999–2013. The results that have been obtained are considerably weak, leading to the need of applying the method of nonlinear analysis. The R/S analysis was conducted to determine the degree of randomness for time series of input and output parameters. The calculated Hurst index of variables X4–X9 is persistent (0.71–0.96). That allows us to conclude that the dynamics of these time series is heavily dependent on the same factors or on each other. Unlike the previous index, we have concluded that the behavior of high-energy protons (X1–X3) and the number of hurricane time series are completely stochastic. The problem of finding hidden dependencies in large databases refers to problems of data mining. The Sugeno function of zero order was selected as a method of output fuzzy system. Bearing in mind the available equipment, the models had to be shortened to the phase shift of 0–3 days. The “brute-force attack” method was used to find the most significant factors from all data. Within the experiments, six input factors were calculated which became the basis for building the final ANFIS models. These models can predict 22–26 % of the hurricanes.
PB  - Springer Netherlands
T2  - Natural Hazards
T1  - Hurricane genesis modelling based on the relationship between solar activity and hurricanes
SP  - 1043
EP  - 1062
VL  - 85
IS  - 2
DO  - 10.1007/s11069-016-2620-6
UR  - https://hdl.handle.net/21.15107/rcub_dais_1058
ER  - 

@article{
author = "Vyklyuk, Yaroslav and Radovanović, Milan M. and Milovanović, Boško and Leko, Taras and Milenković, Milan and Milošević, Zoran and Milanović Pešić, Ana and Jakovljević, Dejana M.",
year = "2017",
abstract = "The work examines the potential causative link between the flow of charged particles that are coming from the Sun and hurricanes. For establishing eventual link, the method of correlation analysis is applied, but with the phase shift of 0–5 days. There are nine parameters which are observed as an input, and daily values of the hurricane phenomenon are observed as an output in the period May–October 1999–2013. The results that have been obtained are considerably weak, leading to the need of applying the method of nonlinear analysis. The R/S analysis was conducted to determine the degree of randomness for time series of input and output parameters. The calculated Hurst index of variables X4–X9 is persistent (0.71–0.96). That allows us to conclude that the dynamics of these time series is heavily dependent on the same factors or on each other. Unlike the previous index, we have concluded that the behavior of high-energy protons (X1–X3) and the number of hurricane time series are completely stochastic. The problem of finding hidden dependencies in large databases refers to problems of data mining. The Sugeno function of zero order was selected as a method of output fuzzy system. Bearing in mind the available equipment, the models had to be shortened to the phase shift of 0–3 days. The “brute-force attack” method was used to find the most significant factors from all data. Within the experiments, six input factors were calculated which became the basis for building the final ANFIS models. These models can predict 22–26 % of the hurricanes.",
publisher = "Springer Netherlands",
journal = "Natural Hazards",
title = "Hurricane genesis modelling based on the relationship between solar activity and hurricanes",
pages = "1043-1062",
volume = "85",
number = "2",
doi = "10.1007/s11069-016-2620-6",
url = "https://hdl.handle.net/21.15107/rcub_dais_1058"
}

Vyklyuk, Y., Radovanović, M. M., Milovanović, B., Leko, T., Milenković, M., Milošević, Z., Milanović Pešić, A.,& Jakovljević, D. M.. (2017). Hurricane genesis modelling based on the relationship between solar activity and hurricanes. in Natural Hazards
Springer Netherlands., 85(2), 1043-1062.
https://doi.org/10.1007/s11069-016-2620-6
https://hdl.handle.net/21.15107/rcub_dais_1058

Vyklyuk Y, Radovanović MM, Milovanović B, Leko T, Milenković M, Milošević Z, Milanović Pešić A, Jakovljević DM. Hurricane genesis modelling based on the relationship between solar activity and hurricanes. in Natural Hazards. 2017;85(2):1043-1062.
doi:10.1007/s11069-016-2620-6
https://hdl.handle.net/21.15107/rcub_dais_1058 .

Vyklyuk, Yaroslav, Radovanović, Milan M., Milovanović, Boško, Leko, Taras, Milenković, Milan, Milošević, Zoran, Milanović Pešić, Ana, Jakovljević, Dejana M., "Hurricane genesis modelling based on the relationship between solar activity and hurricanes" in Natural Hazards, 85, no. 2 (2017):1043-1062,
https://doi.org/10.1007/s11069-016-2620-6 .,
https://hdl.handle.net/21.15107/rcub_dais_1058 .

TY  - CONF
AU  - Milenković, Milan
AU  - Munćan, Milan
AU  - Munćan, Sretko
AU  - Denda, Stefan
PY  - 2017
UR  - https://dais.sanu.ac.rs/123456789/1168
PB  - Beograd : Univerzitet u Beogradu - Šumarski fakultet
C3  - Jelenska divljač : zbornik sažetaka / 1. Srpsko savetovanje sa međunarodnim učešćem o gazdovanju i zaštiti lovne faune, Kraljevo, 12. oktobar 2017. godine = Red Deer : book of abstracts / 1st Serbian Meeting on Game Management with International Participation, Kraljevo, 12th October, 2017
T1  - Problem šumskih požara u gazdovanju jelenskom divljači u Deliblatskoj peščari
SP  - 39
EP  - 42
UR  - https://hdl.handle.net/21.15107/rcub_dais_1168
ER  - 

@conference{
author = "Milenković, Milan and Munćan, Milan and Munćan, Sretko and Denda, Stefan",
year = "2017",
publisher = "Beograd : Univerzitet u Beogradu - Šumarski fakultet",
journal = "Jelenska divljač : zbornik sažetaka / 1. Srpsko savetovanje sa međunarodnim učešćem o gazdovanju i zaštiti lovne faune, Kraljevo, 12. oktobar 2017. godine = Red Deer : book of abstracts / 1st Serbian Meeting on Game Management with International Participation, Kraljevo, 12th October, 2017",
title = "Problem šumskih požara u gazdovanju jelenskom divljači u Deliblatskoj peščari",
pages = "39-42",
url = "https://hdl.handle.net/21.15107/rcub_dais_1168"
}

Milenković, M., Munćan, M., Munćan, S.,& Denda, S.. (2017). Problem šumskih požara u gazdovanju jelenskom divljači u Deliblatskoj peščari. in Jelenska divljač : zbornik sažetaka / 1. Srpsko savetovanje sa međunarodnim učešćem o gazdovanju i zaštiti lovne faune, Kraljevo, 12. oktobar 2017. godine = Red Deer : book of abstracts / 1st Serbian Meeting on Game Management with International Participation, Kraljevo, 12th October, 2017
Beograd : Univerzitet u Beogradu - Šumarski fakultet., 39-42.
https://hdl.handle.net/21.15107/rcub_dais_1168

Milenković M, Munćan M, Munćan S, Denda S. Problem šumskih požara u gazdovanju jelenskom divljači u Deliblatskoj peščari. in Jelenska divljač : zbornik sažetaka / 1. Srpsko savetovanje sa međunarodnim učešćem o gazdovanju i zaštiti lovne faune, Kraljevo, 12. oktobar 2017. godine = Red Deer : book of abstracts / 1st Serbian Meeting on Game Management with International Participation, Kraljevo, 12th October, 2017. 2017;:39-42.
https://hdl.handle.net/21.15107/rcub_dais_1168 .

Milenković, Milan, Munćan, Milan, Munćan, Sretko, Denda, Stefan, "Problem šumskih požara u gazdovanju jelenskom divljači u Deliblatskoj peščari" in Jelenska divljač : zbornik sažetaka / 1. Srpsko savetovanje sa međunarodnim učešćem o gazdovanju i zaštiti lovne faune, Kraljevo, 12. oktobar 2017. godine = Red Deer : book of abstracts / 1st Serbian Meeting on Game Management with International Participation, Kraljevo, 12th October, 2017 (2017):39-42,
https://hdl.handle.net/21.15107/rcub_dais_1168 .

TY  - CONF
AU  - Milenković, Milan
AU  - Babić, Violeta
AU  - Krstić, Milun
AU  - Jojić Glavonjić, Tamara
AU  - Denda, Stefan
PY  - 2017
UR  - https://dais.sanu.ac.rs/123456789/1073
AB  - In Lithuania in the period 1992–2015, decreasing trends were recorded for the annual number of
forest fires (significant at p≤0.05) and the annual burned area (not significant). In the research of the connection between forest fires and the North Atlantic Oscillation (NAO) index, the highest values of Pearson correlation coefficient (significant at p≤0.01) were recorded for the annual number of fires and NAO index for June (0.589) and summer (0.538). With the Arctic Oscillation (AO) index, the highest value was recorded for the annual number of fires and AO index for June (0.486).
PB  - Bor : University of Belgrade, Technical faculty
C3  - Proceedings / XXV International Conference "Ecological Truth", Eco-Ist '17, 12-15 June 2017, Vrnjačka Banja, Serbia
T1  - The North Atlantic Oscilation (NAO), The Arctic Oscilation (AO) and Forest Fires in Lithuania
SP  - 589
EP  - 596
UR  - https://hdl.handle.net/21.15107/rcub_dais_1073
ER  - 

@conference{
author = "Milenković, Milan and Babić, Violeta and Krstić, Milun and Jojić Glavonjić, Tamara and Denda, Stefan",
year = "2017",
abstract = "In Lithuania in the period 1992–2015, decreasing trends were recorded for the annual number of
forest fires (significant at p≤0.05) and the annual burned area (not significant). In the research of the connection between forest fires and the North Atlantic Oscillation (NAO) index, the highest values of Pearson correlation coefficient (significant at p≤0.01) were recorded for the annual number of fires and NAO index for June (0.589) and summer (0.538). With the Arctic Oscillation (AO) index, the highest value was recorded for the annual number of fires and AO index for June (0.486).",
publisher = "Bor : University of Belgrade, Technical faculty",
journal = "Proceedings / XXV International Conference "Ecological Truth", Eco-Ist '17, 12-15 June 2017, Vrnjačka Banja, Serbia",
title = "The North Atlantic Oscilation (NAO), The Arctic Oscilation (AO) and Forest Fires in Lithuania",
pages = "589-596",
url = "https://hdl.handle.net/21.15107/rcub_dais_1073"
}

Milenković, M., Babić, V., Krstić, M., Jojić Glavonjić, T.,& Denda, S.. (2017). The North Atlantic Oscilation (NAO), The Arctic Oscilation (AO) and Forest Fires in Lithuania. in Proceedings / XXV International Conference "Ecological Truth", Eco-Ist '17, 12-15 June 2017, Vrnjačka Banja, Serbia
Bor : University of Belgrade, Technical faculty., 589-596.
https://hdl.handle.net/21.15107/rcub_dais_1073

Milenković M, Babić V, Krstić M, Jojić Glavonjić T, Denda S. The North Atlantic Oscilation (NAO), The Arctic Oscilation (AO) and Forest Fires in Lithuania. in Proceedings / XXV International Conference "Ecological Truth", Eco-Ist '17, 12-15 June 2017, Vrnjačka Banja, Serbia. 2017;:589-596.
https://hdl.handle.net/21.15107/rcub_dais_1073 .

Milenković, Milan, Babić, Violeta, Krstić, Milun, Jojić Glavonjić, Tamara, Denda, Stefan, "The North Atlantic Oscilation (NAO), The Arctic Oscilation (AO) and Forest Fires in Lithuania" in Proceedings / XXV International Conference "Ecological Truth", Eco-Ist '17, 12-15 June 2017, Vrnjačka Banja, Serbia (2017):589-596,
https://hdl.handle.net/21.15107/rcub_dais_1073 .

TY  - CONF
AU  - Milenković, Milan
AU  - Dedić, Aleksandar
AU  - Doljak, Dejan
PY  - 2016
UR  - https://dais.sanu.ac.rs/123456789/1659
AB  - Države Evropske unije u poslednje vreme ulažu sredstva u obnovljive izvore energije, što se posebno odnosi na šumsku biomasu. U Portugaliji, Španiji i Francuskoj se povećava broj termoelektrana i kogenerativnih CHP postrojenja za sagorevanje i gasifikaciju šumske biomase. Sagorevanjem tradicionalne biomase oslobađa se količina CO2 koja je prethodno uzeta iz atmosfere, tako da je nivo emisije gasova sa efektom staklene bašte niži u poređenju sa tradicionalnim elektranama na ugalj. U Portugaliji najveći deo šumske biomase dobija se iz borova i eukaliptusa. Pri tome, više od 50% šumske biomase je iz proreda i čišćenja kultura borova i eukaliptusa. Potrugalija, Španija i Francuska su države Evropske unije koje su posebno pogođene šumskim požarima. U periodu 1980-2014. godine zabeležen je trend porasta ukupne godišnje opožarene površine u Portugaliji, dok je u Španiji i Francuskoj konstatovan trend smanjenja. Naročito velike štete zabeležene su u Portugaliji 2003. godine, kada su požari zahvatili oko 5% teritorije ove države i kada je opožareno 280.000 hektara šuma. U ovom slučaju, problem takođe predstavlja i prisustvo lako zapaljivih vrsta drveća.
AB  - The EU states have been recently investing in the funds for renewable energy
sources, especially for forest biomass. In Portugal, Spain and France, the number of
thermal power plants and cogenerative CHP plants for combustion and gasification
of forest biomass is increasing. By combustion of traditional biomass, the amount of
CO2 that has been previously taken from the atmosphere is released, so the level of
greenhouse gases emission is lower in comparison with conventional coal power plants. In Portugal, the biggest part of forest biomass is obtained from the pines and
eucalyptus. In addition, more than 50% of forest biomass originates from thinning
and cleaning of pine and eucalyptus plantations. The EU countries especially
affected by forest fires are Portugal, Spain and France. In the period 1980-2014
increasing trend of the total annual burned area was recorded in Portugal, while
decreasing trend was registered in Spain and France. Particularly great damage
was recorded in Portugal in 2003, when fires covered about 5% of state territory
and 280,000 ha of forest were burnt. In this case, the problem is also the presence of
flammable tree species.
PB  - Beograd : Savez mašinskih i elektrotehničkih inženjera i tehničara Srbije – SMEITS
C3  - Zbornik radova [Elektronski izvor] / Četvrta međunarodna konferencija o obnovljivim izvorima električne energije MKOIEE '16
T1  - Šumski požari ugrožavaju proizvodnju biomase u Evropskoj uniji: iskustva Portugalije, Španije i Francuske nameću preventivne mere za Srbiju
T1  - Forest fires threaten biomass production in the EU: experiences from Portugal, Spain and France impose Preventive measures for Serbia
SP  - 215
EP  - 220
UR  - https://hdl.handle.net/21.15107/rcub_dais_1659
ER  - 

@conference{
author = "Milenković, Milan and Dedić, Aleksandar and Doljak, Dejan",
year = "2016",
abstract = "Države Evropske unije u poslednje vreme ulažu sredstva u obnovljive izvore energije, što se posebno odnosi na šumsku biomasu. U Portugaliji, Španiji i Francuskoj se povećava broj termoelektrana i kogenerativnih CHP postrojenja za sagorevanje i gasifikaciju šumske biomase. Sagorevanjem tradicionalne biomase oslobađa se količina CO2 koja je prethodno uzeta iz atmosfere, tako da je nivo emisije gasova sa efektom staklene bašte niži u poređenju sa tradicionalnim elektranama na ugalj. U Portugaliji najveći deo šumske biomase dobija se iz borova i eukaliptusa. Pri tome, više od 50% šumske biomase je iz proreda i čišćenja kultura borova i eukaliptusa. Potrugalija, Španija i Francuska su države Evropske unije koje su posebno pogođene šumskim požarima. U periodu 1980-2014. godine zabeležen je trend porasta ukupne godišnje opožarene površine u Portugaliji, dok je u Španiji i Francuskoj konstatovan trend smanjenja. Naročito velike štete zabeležene su u Portugaliji 2003. godine, kada su požari zahvatili oko 5% teritorije ove države i kada je opožareno 280.000 hektara šuma. U ovom slučaju, problem takođe predstavlja i prisustvo lako zapaljivih vrsta drveća., The EU states have been recently investing in the funds for renewable energy
sources, especially for forest biomass. In Portugal, Spain and France, the number of
thermal power plants and cogenerative CHP plants for combustion and gasification
of forest biomass is increasing. By combustion of traditional biomass, the amount of
CO2 that has been previously taken from the atmosphere is released, so the level of
greenhouse gases emission is lower in comparison with conventional coal power plants. In Portugal, the biggest part of forest biomass is obtained from the pines and
eucalyptus. In addition, more than 50% of forest biomass originates from thinning
and cleaning of pine and eucalyptus plantations. The EU countries especially
affected by forest fires are Portugal, Spain and France. In the period 1980-2014
increasing trend of the total annual burned area was recorded in Portugal, while
decreasing trend was registered in Spain and France. Particularly great damage
was recorded in Portugal in 2003, when fires covered about 5% of state territory
and 280,000 ha of forest were burnt. In this case, the problem is also the presence of
flammable tree species.",
publisher = "Beograd : Savez mašinskih i elektrotehničkih inženjera i tehničara Srbije – SMEITS",
journal = "Zbornik radova [Elektronski izvor] / Četvrta međunarodna konferencija o obnovljivim izvorima električne energije MKOIEE '16",
title = "Šumski požari ugrožavaju proizvodnju biomase u Evropskoj uniji: iskustva Portugalije, Španije i Francuske nameću preventivne mere za Srbiju, Forest fires threaten biomass production in the EU: experiences from Portugal, Spain and France impose Preventive measures for Serbia",
pages = "215-220",
url = "https://hdl.handle.net/21.15107/rcub_dais_1659"
}

Milenković, M., Dedić, A.,& Doljak, D.. (2016). Šumski požari ugrožavaju proizvodnju biomase u Evropskoj uniji: iskustva Portugalije, Španije i Francuske nameću preventivne mere za Srbiju. in Zbornik radova [Elektronski izvor] / Četvrta međunarodna konferencija o obnovljivim izvorima električne energije MKOIEE '16
Beograd : Savez mašinskih i elektrotehničkih inženjera i tehničara Srbije – SMEITS., 215-220.
https://hdl.handle.net/21.15107/rcub_dais_1659

Milenković M, Dedić A, Doljak D. Šumski požari ugrožavaju proizvodnju biomase u Evropskoj uniji: iskustva Portugalije, Španije i Francuske nameću preventivne mere za Srbiju. in Zbornik radova [Elektronski izvor] / Četvrta međunarodna konferencija o obnovljivim izvorima električne energije MKOIEE '16. 2016;:215-220.
https://hdl.handle.net/21.15107/rcub_dais_1659 .

Milenković, Milan, Dedić, Aleksandar, Doljak, Dejan, "Šumski požari ugrožavaju proizvodnju biomase u Evropskoj uniji: iskustva Portugalije, Španije i Francuske nameću preventivne mere za Srbiju" in Zbornik radova [Elektronski izvor] / Četvrta međunarodna konferencija o obnovljivim izvorima električne energije MKOIEE '16 (2016):215-220,
https://hdl.handle.net/21.15107/rcub_dais_1659 .

TY  - CONF
AU  - Doljak, Dejan
AU  - Dedić, Aleksandar
AU  - Milenković, Milan
PY  - 2016
UR  - https://dais.sanu.ac.rs/123456789/1658
AB  - Solarna energija predstavlja čist, besplatan i praktično neograničen izvor
energije. Tehnička i tehnološka rešenja kojima trenutno raspolažemo dovoljna su da
se prikupi mnogo više elektične energije, od one koju trošimo. Solarni parkovi, odnosno
fotonaponske elektrane su postrojenja namenjena za proizvodnju velike
količine električne energije koja se, uglavnom, isporučuje u elektro mrežu. Za
razliku od solarnih sistema koji koncentrišu sunčeve zrake, fotonaponske elektrane,
pored direktnog koriste i difuzno zračenje, kao važan izvor energije za oblasti na
većim geografskim širinama. Stoga, ne začuđuje činjenica da je Nemačka među
prvim zemljama u svetu po proizvodnji električne energije dobijene od Sunca sa
instalisanim fotonaponskim kapacitetom od 39,7 GW. Iako je potencijal globalnog
zračenja u Srbiji oko 30% veći od Nemačke, ukupan fotonaponski kapacitet, od
svega 10 MW, je neuporedivo manji. Troškove koje iziskuje eksploatacija solarne
energije, mogu se lakše prevazići uz dobro osmišljene mere i instrumente. U ovom
radu je prikazano nekoliko uspešnih projekata u Nemačkoj, poput solarnog parka
Finstervalsde, koji mogu obezbediti bolju osnovu za planiranje sličnih projekata u
Srbiji. Suština ovog rada je da pruži uvid u dosadašnje rezultate Srbije na polju
solarne energije, kao i da odgovore na pitanja koja se tiču održivog planiranja solarnih
parkova.
AB  - Solar energy is a clean, free and virtually unlimited source of energy. Technical
and technological solutions that are available right now are sufficient to collect
much more electrical energy than we consume. Solar parks or photovoltaic
power plants are facilities that produced large amounts of electricity which is mainly
supplied to the electrical network. Unlike concentrated solar power systems, photovoltaic
power station apart from direct radiation is using diffuse radiation, as an
important source of energy for areas at higher latitudes. Therefore, it is not surprising
that Germany is top-rated country in the world by production of electricity from
the sun, with an installed PV capacity of 39.7 GW. Although the potential of global
solar radiation in Serbia is about 30% greater than Germany, the total PV capacity of only 10 MW, is much smaller. Expenses for exploitation solar energy, can be
overcome much more easier with well designed incentive measures and instruments.
This paper describes some successful projects in Germany, such as a solar park
Finstervalsde, which can provide a planning solution for similar projects in Serbia.
The essence of this paper is to provide overview of current results of solar energy
sector in Serbia, as well as to answer the questions that are related to sustainable
planning solar parks.
PB  - Beograd : Savez mašinskih i elektrotehničkih inženjera i tehničara Srbije – SMEITS
C3  - Zbornik radova [Elektronski izvor] / Četvrta međunarodna konferencija o obnovljivim izvorima električne energije MKOIEE '16
T1  - Planiranje solarnih parkova – iskustva Nemačke i Srbije
T1  - Planning aspects of solar parks – experience of Germany and Serbia
SP  - 421
EP  - 428
UR  - https://hdl.handle.net/21.15107/rcub_dais_1658
ER  - 

@conference{
author = "Doljak, Dejan and Dedić, Aleksandar and Milenković, Milan",
year = "2016",
abstract = "Solarna energija predstavlja čist, besplatan i praktično neograničen izvor
energije. Tehnička i tehnološka rešenja kojima trenutno raspolažemo dovoljna su da
se prikupi mnogo više elektične energije, od one koju trošimo. Solarni parkovi, odnosno
fotonaponske elektrane su postrojenja namenjena za proizvodnju velike
količine električne energije koja se, uglavnom, isporučuje u elektro mrežu. Za
razliku od solarnih sistema koji koncentrišu sunčeve zrake, fotonaponske elektrane,
pored direktnog koriste i difuzno zračenje, kao važan izvor energije za oblasti na
većim geografskim širinama. Stoga, ne začuđuje činjenica da je Nemačka među
prvim zemljama u svetu po proizvodnji električne energije dobijene od Sunca sa
instalisanim fotonaponskim kapacitetom od 39,7 GW. Iako je potencijal globalnog
zračenja u Srbiji oko 30% veći od Nemačke, ukupan fotonaponski kapacitet, od
svega 10 MW, je neuporedivo manji. Troškove koje iziskuje eksploatacija solarne
energije, mogu se lakše prevazići uz dobro osmišljene mere i instrumente. U ovom
radu je prikazano nekoliko uspešnih projekata u Nemačkoj, poput solarnog parka
Finstervalsde, koji mogu obezbediti bolju osnovu za planiranje sličnih projekata u
Srbiji. Suština ovog rada je da pruži uvid u dosadašnje rezultate Srbije na polju
solarne energije, kao i da odgovore na pitanja koja se tiču održivog planiranja solarnih
parkova., Solar energy is a clean, free and virtually unlimited source of energy. Technical
and technological solutions that are available right now are sufficient to collect
much more electrical energy than we consume. Solar parks or photovoltaic
power plants are facilities that produced large amounts of electricity which is mainly
supplied to the electrical network. Unlike concentrated solar power systems, photovoltaic
power station apart from direct radiation is using diffuse radiation, as an
important source of energy for areas at higher latitudes. Therefore, it is not surprising
that Germany is top-rated country in the world by production of electricity from
the sun, with an installed PV capacity of 39.7 GW. Although the potential of global
solar radiation in Serbia is about 30% greater than Germany, the total PV capacity of only 10 MW, is much smaller. Expenses for exploitation solar energy, can be
overcome much more easier with well designed incentive measures and instruments.
This paper describes some successful projects in Germany, such as a solar park
Finstervalsde, which can provide a planning solution for similar projects in Serbia.
The essence of this paper is to provide overview of current results of solar energy
sector in Serbia, as well as to answer the questions that are related to sustainable
planning solar parks.",
publisher = "Beograd : Savez mašinskih i elektrotehničkih inženjera i tehničara Srbije – SMEITS",
journal = "Zbornik radova [Elektronski izvor] / Četvrta međunarodna konferencija o obnovljivim izvorima električne energije MKOIEE '16",
title = "Planiranje solarnih parkova – iskustva Nemačke i Srbije, Planning aspects of solar parks – experience of Germany and Serbia",
pages = "421-428",
url = "https://hdl.handle.net/21.15107/rcub_dais_1658"
}

Doljak, D., Dedić, A.,& Milenković, M.. (2016). Planiranje solarnih parkova – iskustva Nemačke i Srbije. in Zbornik radova [Elektronski izvor] / Četvrta međunarodna konferencija o obnovljivim izvorima električne energije MKOIEE '16
Beograd : Savez mašinskih i elektrotehničkih inženjera i tehničara Srbije – SMEITS., 421-428.
https://hdl.handle.net/21.15107/rcub_dais_1658

Doljak D, Dedić A, Milenković M. Planiranje solarnih parkova – iskustva Nemačke i Srbije. in Zbornik radova [Elektronski izvor] / Četvrta međunarodna konferencija o obnovljivim izvorima električne energije MKOIEE '16. 2016;:421-428.
https://hdl.handle.net/21.15107/rcub_dais_1658 .

Doljak, Dejan, Dedić, Aleksandar, Milenković, Milan, "Planiranje solarnih parkova – iskustva Nemačke i Srbije" in Zbornik radova [Elektronski izvor] / Četvrta međunarodna konferencija o obnovljivim izvorima električne energije MKOIEE '16 (2016):421-428,
https://hdl.handle.net/21.15107/rcub_dais_1658 .

TY  - JOUR
AU  - Lukić, Dobrila
AU  - Karadžić, D.
AU  - Radovanović, Milan
AU  - Milenković, M.
AU  - Gajić, Mirjana
AU  - Milanović, S.
AU  - Kovačević-Majkić, Jelena
PY  - 2012
UR  - https://dais.sanu.ac.rs/123456789/12552
AB  - The most represented tree species in the Banjica Forest are Acer negundo, Quercus robur, Acer pseudoplatanus, Populus nigra, Fraxinus pennsylvanica, Fraxinus ornus and Robinia pseudoacacia. According to the ICP Forests combined assessment (degree of defoliation and decolorization), endangered species are Populus nigra (64.3% of heavily damaged trees), Quercus robur (45.5%), Fraxinus pennsylvanica (37.0%) and Acer negundo (26.6%), while the situation is much better for Acer pseudoplatanus and Fraxinus ornus. For Robinia pseudoacacia, 83% of trees are without decolorization, however, defoliation is established. In the period from April to October 2009, the average pH of rainwater was 5.46, and 5.18 in the period from November 2009 to March 2010. The concentration of SO42- in the period from April to October 2009 amounted to an average of 24.21 mg/l, and 28.87 mg/l in the period from November 2009 to March 2010. The concentration of SO42- and pH values is a possible explanation for the condition of the trees.
PB  - Srpsko biološko društvo, Beograd, i dr.
T2  - Archives of Biological Sciences
T1  - The influence of chemical characteristics of precipitation on tree health in Banjica Forest (Belgrade, Serbia)
SP  - 1217
EP  - 1225
VL  - 64
IS  - 3
DO  - 10.2298/ABS1203217L
UR  - https://hdl.handle.net/21.15107/rcub_dais_12552
ER  - 

@article{
author = "Lukić, Dobrila and Karadžić, D. and Radovanović, Milan and Milenković, M. and Gajić, Mirjana and Milanović, S. and Kovačević-Majkić, Jelena",
year = "2012",
abstract = "The most represented tree species in the Banjica Forest are Acer negundo, Quercus robur, Acer pseudoplatanus, Populus nigra, Fraxinus pennsylvanica, Fraxinus ornus and Robinia pseudoacacia. According to the ICP Forests combined assessment (degree of defoliation and decolorization), endangered species are Populus nigra (64.3% of heavily damaged trees), Quercus robur (45.5%), Fraxinus pennsylvanica (37.0%) and Acer negundo (26.6%), while the situation is much better for Acer pseudoplatanus and Fraxinus ornus. For Robinia pseudoacacia, 83% of trees are without decolorization, however, defoliation is established. In the period from April to October 2009, the average pH of rainwater was 5.46, and 5.18 in the period from November 2009 to March 2010. The concentration of SO42- in the period from April to October 2009 amounted to an average of 24.21 mg/l, and 28.87 mg/l in the period from November 2009 to March 2010. The concentration of SO42- and pH values is a possible explanation for the condition of the trees.",
publisher = "Srpsko biološko društvo, Beograd, i dr.",
journal = "Archives of Biological Sciences",
title = "The influence of chemical characteristics of precipitation on tree health in Banjica Forest (Belgrade, Serbia)",
pages = "1217-1225",
volume = "64",
number = "3",
doi = "10.2298/ABS1203217L",
url = "https://hdl.handle.net/21.15107/rcub_dais_12552"
}

Lukić, D., Karadžić, D., Radovanović, M., Milenković, M., Gajić, M., Milanović, S.,& Kovačević-Majkić, J.. (2012). The influence of chemical characteristics of precipitation on tree health in Banjica Forest (Belgrade, Serbia). in Archives of Biological Sciences
Srpsko biološko društvo, Beograd, i dr.., 64(3), 1217-1225.
https://doi.org/10.2298/ABS1203217L
https://hdl.handle.net/21.15107/rcub_dais_12552

Lukić D, Karadžić D, Radovanović M, Milenković M, Gajić M, Milanović S, Kovačević-Majkić J. The influence of chemical characteristics of precipitation on tree health in Banjica Forest (Belgrade, Serbia). in Archives of Biological Sciences. 2012;64(3):1217-1225.
doi:10.2298/ABS1203217L
https://hdl.handle.net/21.15107/rcub_dais_12552 .

Lukić, Dobrila, Karadžić, D., Radovanović, Milan, Milenković, M., Gajić, Mirjana, Milanović, S., Kovačević-Majkić, Jelena, "The influence of chemical characteristics of precipitation on tree health in Banjica Forest (Belgrade, Serbia)" in Archives of Biological Sciences, 64, no. 3 (2012):1217-1225,
https://doi.org/10.2298/ABS1203217L .,
https://hdl.handle.net/21.15107/rcub_dais_12552 .