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  - Nedeljković Knežević, Milena
AU  - Petrović, Marko D.
AU  - Nedeljković, Slađana
AU  - Mijatov, Maja
AU  - Radovanović, Milan M.
AU  - Gajić, Mirjana
AU  - Škoda, Miroslav
PY  - 2019
UR  - https://dais.sanu.ac.rs/123456789/7258
AB  - The purpose of this study is to investigate the potential for restructuring industrial areas toward tourism development within local communities, with a special emphasis on the socio-cultural determinants of residents, as well as their attitudes regarding the sustainable development of tourism. The research is also oriented toward the interests of local communities with respect to entrepreneurial activities in the field of tourism within regions relying on traditional industries, in this case, one of the largest open-pit mining surfaces in Europe (near the Serbian town of Lazarevac). The survey was conducted on a sample of 273 respondents. The research results point to the residents’ attitudes regarding the acceptability of tourism development options, as well as their attitudes toward tourism development, with the aim of providing the conditions for a successful transition from a typical heavy industrial setting toward sustainable tourism development.
PB  - Basel : MDPI
T2  - Sustainability
T1  - Changes in Traditional Activities of Industrial Area toward Sustainable Tourism Development
VL  - 11
IS  - 6189
DO  - 10.3390/su11226189
UR  - https://hdl.handle.net/21.15107/rcub_dais_7258
ER  - 

@article{
author = "Nedeljković Knežević, Milena and Petrović, Marko D. and Nedeljković, Slađana and Mijatov, Maja and Radovanović, Milan M. and Gajić, Mirjana and Škoda, Miroslav",
year = "2019",
abstract = "The purpose of this study is to investigate the potential for restructuring industrial areas toward tourism development within local communities, with a special emphasis on the socio-cultural determinants of residents, as well as their attitudes regarding the sustainable development of tourism. The research is also oriented toward the interests of local communities with respect to entrepreneurial activities in the field of tourism within regions relying on traditional industries, in this case, one of the largest open-pit mining surfaces in Europe (near the Serbian town of Lazarevac). The survey was conducted on a sample of 273 respondents. The research results point to the residents’ attitudes regarding the acceptability of tourism development options, as well as their attitudes toward tourism development, with the aim of providing the conditions for a successful transition from a typical heavy industrial setting toward sustainable tourism development.",
publisher = "Basel : MDPI",
journal = "Sustainability",
title = "Changes in Traditional Activities of Industrial Area toward Sustainable Tourism Development",
volume = "11",
number = "6189",
doi = "10.3390/su11226189",
url = "https://hdl.handle.net/21.15107/rcub_dais_7258"
}

Nedeljković Knežević, M., Petrović, M. D., Nedeljković, S., Mijatov, M., Radovanović, M. M., Gajić, M.,& Škoda, M.. (2019). Changes in Traditional Activities of Industrial Area toward Sustainable Tourism Development. in Sustainability
Basel : MDPI., 11(6189).
https://doi.org/10.3390/su11226189
https://hdl.handle.net/21.15107/rcub_dais_7258

Nedeljković Knežević M, Petrović MD, Nedeljković S, Mijatov M, Radovanović MM, Gajić M, Škoda M. Changes in Traditional Activities of Industrial Area toward Sustainable Tourism Development. in Sustainability. 2019;11(6189).
doi:10.3390/su11226189
https://hdl.handle.net/21.15107/rcub_dais_7258 .

Nedeljković Knežević, Milena, Petrović, Marko D., Nedeljković, Slađana, Mijatov, Maja, Radovanović, Milan M., Gajić, Mirjana, Škoda, Miroslav, "Changes in Traditional Activities of Industrial Area toward Sustainable Tourism Development" in Sustainability, 11, no. 6189 (2019),
https://doi.org/10.3390/su11226189 .,
https://hdl.handle.net/21.15107/rcub_dais_7258 .

TY  - JOUR
AU  - Ducić, Vladan
AU  - Milenković, Milan
AU  - Milijašević, Dragana
AU  - Vujačić, Duško M.
AU  - Bjeljac, Željko
AU  - Lović, Suzana L.
AU  - Gajić, Mirjana
AU  - Anđelković, Goran
AU  - Đorđević, Aleksandar
PY  - 2015
UR  - https://dais.sanu.ac.rs/123456789/12563
AB  - The research included trends in water temperature of the Danube River at Bogojevo gauge and surface air temperature at the nearby meteorological station Sombor, as well as an analysis of the results obtained in relation to the claims of the existence of the hiatus in global air temperature increase in the period 1998-2012. In the period 1961-2013, there was a statistically significant increase in the mean annual water temperature (0.039 degrees C per year), as well as all the average monthly values. However, with annual values for the period 1998-2013, there was a decrease. The longest periods of negative trend (27 years) were recorded for January and February. A high correlation was found between the surface air temperature and water temperature for all monthly and seasonal values. In the mean annual air temperature the presence of the hiatus is not observed, but a negative trend is recorded in March (32 years), December (43 years), and February (49 years). The highest correlations between water temperature and North Atlantic Oscillation (NAO), Arctic Oscillation (AO), and Atlantic Multidecadal Oscillation (AMO) were obtained for the NAO in January (0.60), the AMO in autumn (0.52), and the NAO in winter (0.51). For surface air temperature, the highest correlations were registered for the AMO in summer (0.49) and the NAO in winter (0.42). The results indicate the dominant role of natural factors in the decrease of winter air temperature and water temperature of the Danube.
PB  - Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd
T2  - Thermal Science
T1  - Hiatus in global warming - the example of water temperature of the Danube river at Bogojevo gauge (Serbia)
SP  - S467
EP  - S476
VL  - 19
DO  - 10.2298/TSCI150430133D
UR  - https://hdl.handle.net/21.15107/rcub_dais_12563
ER  - 

@article{
author = "Ducić, Vladan and Milenković, Milan and Milijašević, Dragana and Vujačić, Duško M. and Bjeljac, Željko and Lović, Suzana L. and Gajić, Mirjana and Anđelković, Goran and Đorđević, Aleksandar",
year = "2015",
abstract = "The research included trends in water temperature of the Danube River at Bogojevo gauge and surface air temperature at the nearby meteorological station Sombor, as well as an analysis of the results obtained in relation to the claims of the existence of the hiatus in global air temperature increase in the period 1998-2012. In the period 1961-2013, there was a statistically significant increase in the mean annual water temperature (0.039 degrees C per year), as well as all the average monthly values. However, with annual values for the period 1998-2013, there was a decrease. The longest periods of negative trend (27 years) were recorded for January and February. A high correlation was found between the surface air temperature and water temperature for all monthly and seasonal values. In the mean annual air temperature the presence of the hiatus is not observed, but a negative trend is recorded in March (32 years), December (43 years), and February (49 years). The highest correlations between water temperature and North Atlantic Oscillation (NAO), Arctic Oscillation (AO), and Atlantic Multidecadal Oscillation (AMO) were obtained for the NAO in January (0.60), the AMO in autumn (0.52), and the NAO in winter (0.51). For surface air temperature, the highest correlations were registered for the AMO in summer (0.49) and the NAO in winter (0.42). The results indicate the dominant role of natural factors in the decrease of winter air temperature and water temperature of the Danube.",
publisher = "Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd",
journal = "Thermal Science",
title = "Hiatus in global warming - the example of water temperature of the Danube river at Bogojevo gauge (Serbia)",
pages = "S467-S476",
volume = "19",
doi = "10.2298/TSCI150430133D",
url = "https://hdl.handle.net/21.15107/rcub_dais_12563"
}

Ducić, V., Milenković, M., Milijašević, D., Vujačić, D. M., Bjeljac, Ž., Lović, S. L., Gajić, M., Anđelković, G.,& Đorđević, A.. (2015). Hiatus in global warming - the example of water temperature of the Danube river at Bogojevo gauge (Serbia). in Thermal Science
Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd., 19, S467-S476.
https://doi.org/10.2298/TSCI150430133D
https://hdl.handle.net/21.15107/rcub_dais_12563

Ducić V, Milenković M, Milijašević D, Vujačić DM, Bjeljac Ž, Lović SL, Gajić M, Anđelković G, Đorđević A. Hiatus in global warming - the example of water temperature of the Danube river at Bogojevo gauge (Serbia). in Thermal Science. 2015;19:S467-S476.
doi:10.2298/TSCI150430133D
https://hdl.handle.net/21.15107/rcub_dais_12563 .

Ducić, Vladan, Milenković, Milan, Milijašević, Dragana, Vujačić, Duško M., Bjeljac, Željko, Lović, Suzana L., Gajić, Mirjana, Anđelković, Goran, Đorđević, Aleksandar, "Hiatus in global warming - the example of water temperature of the Danube river at Bogojevo gauge (Serbia)" in Thermal Science, 19 (2015):S467-S476,
https://doi.org/10.2298/TSCI150430133D .,
https://hdl.handle.net/21.15107/rcub_dais_12563 .

TY  - JOUR
AU  - Joksimović, Marko
AU  - Gajić, Mirjana
AU  - Vujadinović, Snežana
AU  - Golić, Rajko
AU  - Vuković, Darko B.
PY  - 2015
UR  - https://dais.sanu.ac.rs/123456789/12561
AB  - The study of climate changes is most often based on the analysis of time series of temperature and precipitation in urban areas and the increase in the emission of gases having a greenhouse effect. On the other hand, the selection of representative and relevant stations and comprehensive analysis of climate indicators lead to better and more exact assessments on climate changes at the regional level. In order to connect climate changes with agricultural, biological, socio-economic, and tourism databases, the paper deals with the dynamic analysis of changes in thermal component expressed through the values of regional climate indices in four climatological stations with different geographical positions in Serbia. There are significant differences between the two time series data (1961-1990 and 1991-2013) on temperature and humidity, precipitation, insolation, and wind speed. However, after using the climatic indices as a tool for assessing climate changes, the results of the study suggest the relative influence of the thermal component on the change of climate indices, with a slight increase in the index of significance for human activities. Relying on the results of this alternative approach to the study of climate changes, the fact remains that the climate is not fixed but highly variable factor that should be taken into consideration in terms of monitoring, evaluation, and management of the area.
PB  - Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd
T2  - Thermal Science
T1  - The effect of the thermal component change on regional climate indices in Serbia
SP  - S391
EP  - S403
VL  - 19
DO  - 10.2298/TSCI150430105J
UR  - https://hdl.handle.net/21.15107/rcub_dais_12561
ER  - 

@article{
author = "Joksimović, Marko and Gajić, Mirjana and Vujadinović, Snežana and Golić, Rajko and Vuković, Darko B.",
year = "2015",
abstract = "The study of climate changes is most often based on the analysis of time series of temperature and precipitation in urban areas and the increase in the emission of gases having a greenhouse effect. On the other hand, the selection of representative and relevant stations and comprehensive analysis of climate indicators lead to better and more exact assessments on climate changes at the regional level. In order to connect climate changes with agricultural, biological, socio-economic, and tourism databases, the paper deals with the dynamic analysis of changes in thermal component expressed through the values of regional climate indices in four climatological stations with different geographical positions in Serbia. There are significant differences between the two time series data (1961-1990 and 1991-2013) on temperature and humidity, precipitation, insolation, and wind speed. However, after using the climatic indices as a tool for assessing climate changes, the results of the study suggest the relative influence of the thermal component on the change of climate indices, with a slight increase in the index of significance for human activities. Relying on the results of this alternative approach to the study of climate changes, the fact remains that the climate is not fixed but highly variable factor that should be taken into consideration in terms of monitoring, evaluation, and management of the area.",
publisher = "Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd",
journal = "Thermal Science",
title = "The effect of the thermal component change on regional climate indices in Serbia",
pages = "S391-S403",
volume = "19",
doi = "10.2298/TSCI150430105J",
url = "https://hdl.handle.net/21.15107/rcub_dais_12561"
}

Joksimović, M., Gajić, M., Vujadinović, S., Golić, R.,& Vuković, D. B.. (2015). The effect of the thermal component change on regional climate indices in Serbia. in Thermal Science
Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd., 19, S391-S403.
https://doi.org/10.2298/TSCI150430105J
https://hdl.handle.net/21.15107/rcub_dais_12561

Joksimović M, Gajić M, Vujadinović S, Golić R, Vuković DB. The effect of the thermal component change on regional climate indices in Serbia. in Thermal Science. 2015;19:S391-S403.
doi:10.2298/TSCI150430105J
https://hdl.handle.net/21.15107/rcub_dais_12561 .

Joksimović, Marko, Gajić, Mirjana, Vujadinović, Snežana, Golić, Rajko, Vuković, Darko B., "The effect of the thermal component change on regional climate indices in Serbia" in Thermal Science, 19 (2015):S391-S403,
https://doi.org/10.2298/TSCI150430105J .,
https://hdl.handle.net/21.15107/rcub_dais_12561 .

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 .