Micić Ponjiger, Tanja

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Authority KeyName Variants
orcid::0000-0002-5549-2693
  • Micić Ponjiger, Tanja (4)
  • Micić, Tanja (3)
  • Micić-Ponjiger, Tanja (1)

Author's Bibliography

Evaluation of Rainfall Erosivity in the Western Balkans by Mapping and Clustering ERA5 Reanalysis Data

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

(Basel : MDPI, 2023)

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 . .
1
7

Application of Angot Precipitation Index in the Assessment of Rainfall Eerosivity: Vojvodina Region case study (North Serbia)

Lukić, Tin; Micić Ponjiger, Tanja; Basarin, Biljana; Sakulski, Dušan; Gavrilov, Milivoj B.; Marković, Slobodan B.; Zorn, Matija; Komac, Blaž; Milanović, Miško; Pavić, Dragoslav; Mesaroš, Minučer; Marković, Nemanja; Durlević, Uroš; Morar, Cezar; Petrović, Aleksandar S.

(Ljubljana: Geografski inštitut Antona Melika ZRC SAZU, 2021)

TY  - JOUR
AU  - Lukić, Tin
AU  - Micić Ponjiger, Tanja
AU  - Basarin, Biljana
AU  - Sakulski, Dušan
AU  - Gavrilov, Milivoj B.
AU  - Marković, Slobodan B.
AU  - Zorn, Matija
AU  - Komac, Blaž
AU  - Milanović, Miško
AU  - Pavić, Dragoslav
AU  - Mesaroš, Minučer
AU  - Marković, Nemanja
AU  - Durlević, Uroš
AU  - Morar, Cezar
AU  - Petrović, Aleksandar S.
PY  - 2021
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1332
AB  - The paper aims to provide an overview of the most important parameters (the occurrence,
frequency and magnitude) in Vojvodina Region (North Serbia). Monthly and annual mean precipitation
values in the period 1946–2014, for the 12 selected meteorological stations were used. Relevant parameters
(precipitation amounts, Angot precipitation index) were used as indicators of rainfall erosivity. Rainfall
erosivity index was calculated and classified throughout precipitation susceptibility classes liable of triggering
soil erosion. Precipitation trends were obtained and analysed by three different statistical approaches.
Results indicate that various susceptibility classes are identified within the observed period, with a higher
presence of very severe rainfall erosion in June and July. This study could have implications for mitigation
strategies oriented towards reduction of soil erosion by water.
PB  - Ljubljana: Geografski inštitut Antona Melika ZRC SAZU
T2  - Acta Geographica Slovenica - Geografski zbornik
T1  - Application of Angot Precipitation Index in the Assessment of Rainfall Eerosivity: Vojvodina Region case study (North Serbia)
VL  - 61
IS  - 2
SP  - 123
EP  - 153
DO  - 10.3986/AGS.8754
ER  - 
@article{
author = "Lukić, Tin and Micić Ponjiger, Tanja and Basarin, Biljana and Sakulski, Dušan and Gavrilov, Milivoj B. and Marković, Slobodan B. and Zorn, Matija and Komac, Blaž and Milanović, Miško and Pavić, Dragoslav and Mesaroš, Minučer and Marković, Nemanja and Durlević, Uroš and Morar, Cezar and Petrović, Aleksandar S.",
year = "2021",
abstract = "The paper aims to provide an overview of the most important parameters (the occurrence,
frequency and magnitude) in Vojvodina Region (North Serbia). Monthly and annual mean precipitation
values in the period 1946–2014, for the 12 selected meteorological stations were used. Relevant parameters
(precipitation amounts, Angot precipitation index) were used as indicators of rainfall erosivity. Rainfall
erosivity index was calculated and classified throughout precipitation susceptibility classes liable of triggering
soil erosion. Precipitation trends were obtained and analysed by three different statistical approaches.
Results indicate that various susceptibility classes are identified within the observed period, with a higher
presence of very severe rainfall erosion in June and July. This study could have implications for mitigation
strategies oriented towards reduction of soil erosion by water.",
publisher = "Ljubljana: Geografski inštitut Antona Melika ZRC SAZU",
journal = "Acta Geographica Slovenica - Geografski zbornik",
title = "Application of Angot Precipitation Index in the Assessment of Rainfall Eerosivity: Vojvodina Region case study (North Serbia)",
volume = "61",
number = "2",
pages = "123-153",
doi = "10.3986/AGS.8754"
}
Lukić, T., Micić Ponjiger, T., Basarin, B., Sakulski, D., Gavrilov, M. B., Marković, S. B., Zorn, M., Komac, B., Milanović, M., Pavić, D., Mesaroš, M., Marković, N., Durlević, U., Morar, C.,& Petrović, A. S.. (2021). Application of Angot Precipitation Index in the Assessment of Rainfall Eerosivity: Vojvodina Region case study (North Serbia). in Acta Geographica Slovenica - Geografski zbornik
Ljubljana: Geografski inštitut Antona Melika ZRC SAZU., 61(2), 123-153.
https://doi.org/10.3986/AGS.8754
Lukić T, Micić Ponjiger T, Basarin B, Sakulski D, Gavrilov MB, Marković SB, Zorn M, Komac B, Milanović M, Pavić D, Mesaroš M, Marković N, Durlević U, Morar C, Petrović AS. Application of Angot Precipitation Index in the Assessment of Rainfall Eerosivity: Vojvodina Region case study (North Serbia). in Acta Geographica Slovenica - Geografski zbornik. 2021;61(2):123-153.
doi:10.3986/AGS.8754 .
Lukić, Tin, Micić Ponjiger, Tanja, Basarin, Biljana, Sakulski, Dušan, Gavrilov, Milivoj B., Marković, Slobodan B., Zorn, Matija, Komac, Blaž, Milanović, Miško, Pavić, Dragoslav, Mesaroš, Minučer, Marković, Nemanja, Durlević, Uroš, Morar, Cezar, Petrović, Aleksandar S., "Application of Angot Precipitation Index in the Assessment of Rainfall Eerosivity: Vojvodina Region case study (North Serbia)" in Acta Geographica Slovenica - Geografski zbornik, 61, no. 2 (2021):123-153,
https://doi.org/10.3986/AGS.8754 . .
11
12

Detailed Analysis of Spatial-Temporal Variability of Rainfall Erosivity and Erosivity Density in the Central and Southern Pannonian Basin

Micić Ponjiger, Tanja; Lukić, Tin; Basarin, Biljana; Jokić, Maja; Wilby, Robert L.; Pavić, Dragoslav; Mesaroš, Minučer; Valjarević, Aleksandar; Milanović, Miško M.; Morar, Cezar

(Basel : MDPI, 2021)

TY  - JOUR
AU  - Micić Ponjiger, Tanja
AU  - Lukić, Tin
AU  - Basarin, Biljana
AU  - Jokić, Maja
AU  - Wilby, Robert L.
AU  - Pavić, Dragoslav
AU  - Mesaroš, Minučer
AU  - Valjarević, Aleksandar
AU  - Milanović, Miško M.
AU  - Morar, Cezar
PY  - 2021
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1440
AB  - Estimation of rainfall erosivity (RE) and erosivity density (ED) is essential for understanding the complex relationships between hydrological and soil erosion processes. The main objective of this study is to assess the spatial–temporal trends and variability of the RE and ED in the central and southern Pannonian Basin by using station observations and gridded datasets. To assess RE and ED, precipitation data for 14 meteorological stations, 225 grid points. and an erosion model consisting of daily, monthly, seasonal, and annual rainfall for the period of 1961–2014 were used. Annual RE and ED based on station data match spatially variable patterns of precipitation, with higher values in the southwest (2100 MJ·mm·ha−1·h−1) and southeast (1650 MJ·mm·ha−1·h−1) of the study area, but minimal values in the northern part (700 MJ·mm·ha−1·h−1). On the other hand, gridded datasets display more detailed RE and ED spatial–temporal variability, with the values ranging from 250 to 2800 MJ·mm·ha−1·h−1. The identified trends are showing increasing values of RE (ranging between 0.20 and 21.17 MJ·mm·ha−1·h−1) and ED (ranging between 0.01 and 0.03 MJ·ha−1·h−1) at the annual level. This tendency is also observed for autumn RE (from 5.55 to 0.37 MJ·mm·ha−1·h−1) and ED (from 0.05 to 0.01 MJ·ha−1·h−1), as for spring RE (from 1.00 to 0.01 MJ·mm·ha−1·h−1) and ED (from 0.04 to 0.01 MJ·ha−1·h−1), due to the influence of the large-scale processes of climate variability, with North Atlantic Oscillation (NAO) being the most prominent. These increases may cause a transition to a higher erosive class in the future, thus raising concerns about this type of hydro-meteorological hazard in this part of the Pannonian Basin. The present analysis identifies seasons and places of greatest erosion risk, which is the starting point for implementing suitable mitigation measures at local to regional scales.
PB  - Basel : MDPI
T2  - Sustainability
T1  - Detailed Analysis of Spatial-Temporal Variability of Rainfall Erosivity and Erosivity Density in the Central and Southern Pannonian Basin
VL  - 13
IS  - 23
SP  - 13355
DO  - 10.3390/su132313355
ER  - 
@article{
author = "Micić Ponjiger, Tanja and Lukić, Tin and Basarin, Biljana and Jokić, Maja and Wilby, Robert L. and Pavić, Dragoslav and Mesaroš, Minučer and Valjarević, Aleksandar and Milanović, Miško M. and Morar, Cezar",
year = "2021",
abstract = "Estimation of rainfall erosivity (RE) and erosivity density (ED) is essential for understanding the complex relationships between hydrological and soil erosion processes. The main objective of this study is to assess the spatial–temporal trends and variability of the RE and ED in the central and southern Pannonian Basin by using station observations and gridded datasets. To assess RE and ED, precipitation data for 14 meteorological stations, 225 grid points. and an erosion model consisting of daily, monthly, seasonal, and annual rainfall for the period of 1961–2014 were used. Annual RE and ED based on station data match spatially variable patterns of precipitation, with higher values in the southwest (2100 MJ·mm·ha−1·h−1) and southeast (1650 MJ·mm·ha−1·h−1) of the study area, but minimal values in the northern part (700 MJ·mm·ha−1·h−1). On the other hand, gridded datasets display more detailed RE and ED spatial–temporal variability, with the values ranging from 250 to 2800 MJ·mm·ha−1·h−1. The identified trends are showing increasing values of RE (ranging between 0.20 and 21.17 MJ·mm·ha−1·h−1) and ED (ranging between 0.01 and 0.03 MJ·ha−1·h−1) at the annual level. This tendency is also observed for autumn RE (from 5.55 to 0.37 MJ·mm·ha−1·h−1) and ED (from 0.05 to 0.01 MJ·ha−1·h−1), as for spring RE (from 1.00 to 0.01 MJ·mm·ha−1·h−1) and ED (from 0.04 to 0.01 MJ·ha−1·h−1), due to the influence of the large-scale processes of climate variability, with North Atlantic Oscillation (NAO) being the most prominent. These increases may cause a transition to a higher erosive class in the future, thus raising concerns about this type of hydro-meteorological hazard in this part of the Pannonian Basin. The present analysis identifies seasons and places of greatest erosion risk, which is the starting point for implementing suitable mitigation measures at local to regional scales.",
publisher = "Basel : MDPI",
journal = "Sustainability",
title = "Detailed Analysis of Spatial-Temporal Variability of Rainfall Erosivity and Erosivity Density in the Central and Southern Pannonian Basin",
volume = "13",
number = "23",
pages = "13355",
doi = "10.3390/su132313355"
}
Micić Ponjiger, T., Lukić, T., Basarin, B., Jokić, M., Wilby, R. L., Pavić, D., Mesaroš, M., Valjarević, A., Milanović, M. M.,& Morar, C.. (2021). Detailed Analysis of Spatial-Temporal Variability of Rainfall Erosivity and Erosivity Density in the Central and Southern Pannonian Basin. in Sustainability
Basel : MDPI., 13(23), 13355.
https://doi.org/10.3390/su132313355
Micić Ponjiger T, Lukić T, Basarin B, Jokić M, Wilby RL, Pavić D, Mesaroš M, Valjarević A, Milanović MM, Morar C. Detailed Analysis of Spatial-Temporal Variability of Rainfall Erosivity and Erosivity Density in the Central and Southern Pannonian Basin. in Sustainability. 2021;13(23):13355.
doi:10.3390/su132313355 .
Micić Ponjiger, Tanja, Lukić, Tin, Basarin, Biljana, Jokić, Maja, Wilby, Robert L., Pavić, Dragoslav, Mesaroš, Minučer, Valjarević, Aleksandar, Milanović, Miško M., Morar, Cezar, "Detailed Analysis of Spatial-Temporal Variability of Rainfall Erosivity and Erosivity Density in the Central and Southern Pannonian Basin" in Sustainability, 13, no. 23 (2021):13355,
https://doi.org/10.3390/su132313355 . .
1
20
18

Quantitative Geodiversity Assessment of the Fruška Gora Mt. (North Serbia) by Using the Geodiversity Index

Micić Ponjiger, Tanja; Lukić, Tin; Vasiljević, Ðorđije A.; Hose, Thomas A.; Basarin, Biljana; Marković, Slobodan B.; Milanović, Miško M.; Valjarević, Aleksandar; Vujičić, Miroslav D.; Stankov, Uglješa; Blagojević, Dragana; Nekić, Nevena; Blešić, Ivana

(Springer Science and Business Media LLC, 2021)

TY  - JOUR
AU  - Micić Ponjiger, Tanja
AU  - Lukić, Tin
AU  - Vasiljević, Ðorđije A.
AU  - Hose, Thomas A.
AU  - Basarin, Biljana
AU  - Marković, Slobodan B.
AU  - Milanović, Miško M.
AU  - Valjarević, Aleksandar
AU  - Vujičić, Miroslav D.
AU  - Stankov, Uglješa
AU  - Blagojević, Dragana
AU  - Nekić, Nevena
AU  - Blešić, Ivana
PY  - 2021
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1444
AB  - The Fruška Gora Mt., as a dominant orographic complex in the Pannonian plain, was selected for a pioneer geodiversity quantification study area due to its unique geology and soil properties. The methodology is based on the geodiversity quantification assessment approach of Serrano and Ruiz-Flaño (Geogr Helv 62:140–147, 2007). It employed a 500 × 500 m grid approach on several maps (lithological, geomorphological, topographical, and pedological) at scales of 1:50.000 to 1:300.000, together with a 30-m resolution digital elevation model for deriving sub-indices and a topographic roughness. The geodiversity index values (Gd) indicate that the highest geodiversity sites are found on the north, north-east and south-western part of the investigated mountain: in steep-sided valleys, along the horst and loess cliffs facing the Danube River. The obtained results are compared with the already recognized in situ geosite location network. This approach can be applied in the given area for geoheritage protection, conservation, and promotion at different levels (from local to national level). Following the results of this study, the criteria for the definition of conservation areas with abiotic significance should be considered, as there is no legal protection of any kind for the areas with the highest geodiversity index values outside the National Park area. Also, it is a potentially effective tool for supporting decision-making processes regarding the management and conservation of natural areas or regions at different scales with further possible applications in Serbia and elsewhere in Europe.
PB  - Springer Science and Business Media LLC
T2  - Geoheritage
T1  - Quantitative Geodiversity Assessment of the Fruška Gora Mt. (North Serbia) by Using the Geodiversity Index
VL  - 13
IS  - 3
SP  - 61
DO  - 10.1007/s12371-021-00572-w
ER  - 
@article{
author = "Micić Ponjiger, Tanja and Lukić, Tin and Vasiljević, Ðorđije A. and Hose, Thomas A. and Basarin, Biljana and Marković, Slobodan B. and Milanović, Miško M. and Valjarević, Aleksandar and Vujičić, Miroslav D. and Stankov, Uglješa and Blagojević, Dragana and Nekić, Nevena and Blešić, Ivana",
year = "2021",
abstract = "The Fruška Gora Mt., as a dominant orographic complex in the Pannonian plain, was selected for a pioneer geodiversity quantification study area due to its unique geology and soil properties. The methodology is based on the geodiversity quantification assessment approach of Serrano and Ruiz-Flaño (Geogr Helv 62:140–147, 2007). It employed a 500 × 500 m grid approach on several maps (lithological, geomorphological, topographical, and pedological) at scales of 1:50.000 to 1:300.000, together with a 30-m resolution digital elevation model for deriving sub-indices and a topographic roughness. The geodiversity index values (Gd) indicate that the highest geodiversity sites are found on the north, north-east and south-western part of the investigated mountain: in steep-sided valleys, along the horst and loess cliffs facing the Danube River. The obtained results are compared with the already recognized in situ geosite location network. This approach can be applied in the given area for geoheritage protection, conservation, and promotion at different levels (from local to national level). Following the results of this study, the criteria for the definition of conservation areas with abiotic significance should be considered, as there is no legal protection of any kind for the areas with the highest geodiversity index values outside the National Park area. Also, it is a potentially effective tool for supporting decision-making processes regarding the management and conservation of natural areas or regions at different scales with further possible applications in Serbia and elsewhere in Europe.",
publisher = "Springer Science and Business Media LLC",
journal = "Geoheritage",
title = "Quantitative Geodiversity Assessment of the Fruška Gora Mt. (North Serbia) by Using the Geodiversity Index",
volume = "13",
number = "3",
pages = "61",
doi = "10.1007/s12371-021-00572-w"
}
Micić Ponjiger, T., Lukić, T., Vasiljević, Ð. A., Hose, T. A., Basarin, B., Marković, S. B., Milanović, M. M., Valjarević, A., Vujičić, M. D., Stankov, U., Blagojević, D., Nekić, N.,& Blešić, I.. (2021). Quantitative Geodiversity Assessment of the Fruška Gora Mt. (North Serbia) by Using the Geodiversity Index. in Geoheritage
Springer Science and Business Media LLC., 13(3), 61.
https://doi.org/10.1007/s12371-021-00572-w
Micić Ponjiger T, Lukić T, Vasiljević ÐA, Hose TA, Basarin B, Marković SB, Milanović MM, Valjarević A, Vujičić MD, Stankov U, Blagojević D, Nekić N, Blešić I. Quantitative Geodiversity Assessment of the Fruška Gora Mt. (North Serbia) by Using the Geodiversity Index. in Geoheritage. 2021;13(3):61.
doi:10.1007/s12371-021-00572-w .
Micić Ponjiger, Tanja, Lukić, Tin, Vasiljević, Ðorđije A., Hose, Thomas A., Basarin, Biljana, Marković, Slobodan B., Milanović, Miško M., Valjarević, Aleksandar, Vujičić, Miroslav D., Stankov, Uglješa, Blagojević, Dragana, Nekić, Nevena, Blešić, Ivana, "Quantitative Geodiversity Assessment of the Fruška Gora Mt. (North Serbia) by Using the Geodiversity Index" in Geoheritage, 13, no. 3 (2021):61,
https://doi.org/10.1007/s12371-021-00572-w . .
6
7

Application of landsat-derived NDVI in monitoring and assessment of vegetation cover changes in central Serbia

Milanović, Miško; Micić, Tanja; Lukić, Tin; Nenadović, Snežana S.; Basarin, Biljana; Filipović, Dejan; Tomić, Milisav; Samardžić, Ivan; Srdić, Zoran; Nikolić, Gojko; Ninković, Miloš M.; Sakulski, Dušan; Ristanović, Branko

(Baia Mare : North University of Baia Mare, 2019)

TY  - JOUR
AU  - Milanović, Miško
AU  - Micić, Tanja
AU  - Lukić, Tin
AU  - Nenadović, Snežana S.
AU  - Basarin, Biljana
AU  - Filipović, Dejan
AU  - Tomić, Milisav
AU  - Samardžić, Ivan
AU  - Srdić, Zoran
AU  - Nikolić, Gojko
AU  - Ninković, Miloš M.
AU  - Sakulski, Dušan
AU  - Ristanović, Branko
PY  - 2019
UR  - https://gery.gef.bg.ac.rs/handle/123456789/1002
AB  - This paper evaluates the application of the Normalised Difference Vegetation Index (NDVI) in the monitoring and assessment of temporal vegetation cover changes (from 2006 to 2014) in three municipalities of Central Serbia: Topola, Jagodina and Kursumlija. Additionally, special focus is placed on the analysis of the forest areas and the possible use of NDVI in the forest management sector. Results of the NDVI applied through Idrisi software identify all vegetation cover types and their typical values for presented case studies and observed periods. Obtained results for Serbian case studies indicate two major observations outlined for the investigated period. It was noticed that vegetation cover is experiencing a certain decrease, and that certain discrepancies exists between the NDVI and official forest area statistics for certain municipalities. The study outlines the positive outcomes of the applied remote sensing techniques, especially for southern Serbian municipalities where illegal logging activities are pronounced. Hence, this method proved very promising for countries performing national forest inventories, such as Serbia, providing local forest managers with several essential up-to-date information about vegetation cover changes on an annual basis.
PB  - Baia Mare : North University of Baia Mare
T2  - Carpathian Journal of Earth and Environmental Sciences
T1  - Application of landsat-derived NDVI in monitoring and assessment of vegetation cover changes in central Serbia
VL  - 14
IS  - 1
SP  - 119
EP  - 129
DO  - 10.26471/cjees/2019/014/064
UR  - https://hdl.handle.net/21.15107/rcub_gery_1002
ER  - 
@article{
author = "Milanović, Miško and Micić, Tanja and Lukić, Tin and Nenadović, Snežana S. and Basarin, Biljana and Filipović, Dejan and Tomić, Milisav and Samardžić, Ivan and Srdić, Zoran and Nikolić, Gojko and Ninković, Miloš M. and Sakulski, Dušan and Ristanović, Branko",
year = "2019",
abstract = "This paper evaluates the application of the Normalised Difference Vegetation Index (NDVI) in the monitoring and assessment of temporal vegetation cover changes (from 2006 to 2014) in three municipalities of Central Serbia: Topola, Jagodina and Kursumlija. Additionally, special focus is placed on the analysis of the forest areas and the possible use of NDVI in the forest management sector. Results of the NDVI applied through Idrisi software identify all vegetation cover types and their typical values for presented case studies and observed periods. Obtained results for Serbian case studies indicate two major observations outlined for the investigated period. It was noticed that vegetation cover is experiencing a certain decrease, and that certain discrepancies exists between the NDVI and official forest area statistics for certain municipalities. The study outlines the positive outcomes of the applied remote sensing techniques, especially for southern Serbian municipalities where illegal logging activities are pronounced. Hence, this method proved very promising for countries performing national forest inventories, such as Serbia, providing local forest managers with several essential up-to-date information about vegetation cover changes on an annual basis.",
publisher = "Baia Mare : North University of Baia Mare",
journal = "Carpathian Journal of Earth and Environmental Sciences",
title = "Application of landsat-derived NDVI in monitoring and assessment of vegetation cover changes in central Serbia",
volume = "14",
number = "1",
pages = "119-129",
doi = "10.26471/cjees/2019/014/064",
url = "https://hdl.handle.net/21.15107/rcub_gery_1002"
}
Milanović, M., Micić, T., Lukić, T., Nenadović, S. S., Basarin, B., Filipović, D., Tomić, M., Samardžić, I., Srdić, Z., Nikolić, G., Ninković, M. M., Sakulski, D.,& Ristanović, B.. (2019). Application of landsat-derived NDVI in monitoring and assessment of vegetation cover changes in central Serbia. in Carpathian Journal of Earth and Environmental Sciences
Baia Mare : North University of Baia Mare., 14(1), 119-129.
https://doi.org/10.26471/cjees/2019/014/064
https://hdl.handle.net/21.15107/rcub_gery_1002
Milanović M, Micić T, Lukić T, Nenadović SS, Basarin B, Filipović D, Tomić M, Samardžić I, Srdić Z, Nikolić G, Ninković MM, Sakulski D, Ristanović B. Application of landsat-derived NDVI in monitoring and assessment of vegetation cover changes in central Serbia. in Carpathian Journal of Earth and Environmental Sciences. 2019;14(1):119-129.
doi:10.26471/cjees/2019/014/064
https://hdl.handle.net/21.15107/rcub_gery_1002 .
Milanović, Miško, Micić, Tanja, Lukić, Tin, Nenadović, Snežana S., Basarin, Biljana, Filipović, Dejan, Tomić, Milisav, Samardžić, Ivan, Srdić, Zoran, Nikolić, Gojko, Ninković, Miloš M., Sakulski, Dušan, Ristanović, Branko, "Application of landsat-derived NDVI in monitoring and assessment of vegetation cover changes in central Serbia" in Carpathian Journal of Earth and Environmental Sciences, 14, no. 1 (2019):119-129,
https://doi.org/10.26471/cjees/2019/014/064 .,
https://hdl.handle.net/21.15107/rcub_gery_1002 .
9
5
10

Rainfall erosivity and extreme precipitation in the Pannonian basin

Lukić, Tin; Lukić, Aco; Basarin, Biljana; Micić-Ponjiger, Tanja; Blagojević, Dragana; Mesaros, Minucer; Milanović, Miško; Gavrilov, Milivoj B.; Pavić, Dragoslav; Zorn, Matija; Komac, Blaz; Miljković, Đurđa; Sakulski, Dušan; Babić-Kekez, Snežana; Morar, Cezar; Janićević, Sava

(Sciendo, Warsaw, 2019)

TY  - JOUR
AU  - Lukić, Tin
AU  - Lukić, Aco
AU  - Basarin, Biljana
AU  - Micić-Ponjiger, Tanja
AU  - Blagojević, Dragana
AU  - Mesaros, Minucer
AU  - Milanović, Miško
AU  - Gavrilov, Milivoj B.
AU  - Pavić, Dragoslav
AU  - Zorn, Matija
AU  - Komac, Blaz
AU  - Miljković, Đurđa
AU  - Sakulski, Dušan
AU  - Babić-Kekez, Snežana
AU  - Morar, Cezar
AU  - Janićević, Sava
PY  - 2019
UR  - https://gery.gef.bg.ac.rs/handle/123456789/989
AB  - In order to assess the rainfall erosivity in the Pannonian basin, several parameters which describe distribution, concentration and variability of precipitation were used, as well as 9 extreme precipitation indices. The precipitation data is obtained from the European Climate Assessment and Dataset project for the period 1961-2014, for 8 meteorological stations in northern Serbia, 5 in Hungary and 1 in eastern Croatia. The extreme values of precipitation were calculated following the indices developed by the ETCCDI. RclimDex software package was used for indices calculation. Based on statistical analysis and the calculated values, the results have been presented with Geographic Information System (GIS) to point out the most vulnerable parts of the Pannonian basin, with regard to pluvial erosion. This study presents the first result of combined rainfall erosivity and extreme precipitation indices for the investigated area. Results of PCI indicate presence of moderate precipitation concentration (mean value 11.6). Trend analysis of FI (mean value 22.7) and MFI (mean value 70.2) implies a shift from being largely in the low erosivity class, to being completely in the moderate erosivity class in the future, thus indicating an increase in rainfall erosivity for most of the investigated area (except in the northwestern parts). Furthermore, the observed precipitation extremes suggest that both the amount and the intensity of precipitation are increasing. The knowledge about the areas affected by strong soil erosion could lead to introducing effective measures in order to reduce it. Long term analysis of rainfall erosivity is a significant step concerning flood prevention, hazard mitigation, ecosystem services, land use change and agricultural production.
PB  - Sciendo, Warsaw
T2  - Open Geosciences
T1  - Rainfall erosivity and extreme precipitation in the Pannonian basin
VL  - 11
IS  - 1
SP  - 664
EP  - 681
DO  - 10.1515/geo-2019-0053
UR  - https://hdl.handle.net/21.15107/rcub_gery_989
ER  - 
@article{
author = "Lukić, Tin and Lukić, Aco and Basarin, Biljana and Micić-Ponjiger, Tanja and Blagojević, Dragana and Mesaros, Minucer and Milanović, Miško and Gavrilov, Milivoj B. and Pavić, Dragoslav and Zorn, Matija and Komac, Blaz and Miljković, Đurđa and Sakulski, Dušan and Babić-Kekez, Snežana and Morar, Cezar and Janićević, Sava",
year = "2019",
abstract = "In order to assess the rainfall erosivity in the Pannonian basin, several parameters which describe distribution, concentration and variability of precipitation were used, as well as 9 extreme precipitation indices. The precipitation data is obtained from the European Climate Assessment and Dataset project for the period 1961-2014, for 8 meteorological stations in northern Serbia, 5 in Hungary and 1 in eastern Croatia. The extreme values of precipitation were calculated following the indices developed by the ETCCDI. RclimDex software package was used for indices calculation. Based on statistical analysis and the calculated values, the results have been presented with Geographic Information System (GIS) to point out the most vulnerable parts of the Pannonian basin, with regard to pluvial erosion. This study presents the first result of combined rainfall erosivity and extreme precipitation indices for the investigated area. Results of PCI indicate presence of moderate precipitation concentration (mean value 11.6). Trend analysis of FI (mean value 22.7) and MFI (mean value 70.2) implies a shift from being largely in the low erosivity class, to being completely in the moderate erosivity class in the future, thus indicating an increase in rainfall erosivity for most of the investigated area (except in the northwestern parts). Furthermore, the observed precipitation extremes suggest that both the amount and the intensity of precipitation are increasing. The knowledge about the areas affected by strong soil erosion could lead to introducing effective measures in order to reduce it. Long term analysis of rainfall erosivity is a significant step concerning flood prevention, hazard mitigation, ecosystem services, land use change and agricultural production.",
publisher = "Sciendo, Warsaw",
journal = "Open Geosciences",
title = "Rainfall erosivity and extreme precipitation in the Pannonian basin",
volume = "11",
number = "1",
pages = "664-681",
doi = "10.1515/geo-2019-0053",
url = "https://hdl.handle.net/21.15107/rcub_gery_989"
}
Lukić, T., Lukić, A., Basarin, B., Micić-Ponjiger, T., Blagojević, D., Mesaros, M., Milanović, M., Gavrilov, M. B., Pavić, D., Zorn, M., Komac, B., Miljković, Đ., Sakulski, D., Babić-Kekez, S., Morar, C.,& Janićević, S.. (2019). Rainfall erosivity and extreme precipitation in the Pannonian basin. in Open Geosciences
Sciendo, Warsaw., 11(1), 664-681.
https://doi.org/10.1515/geo-2019-0053
https://hdl.handle.net/21.15107/rcub_gery_989
Lukić T, Lukić A, Basarin B, Micić-Ponjiger T, Blagojević D, Mesaros M, Milanović M, Gavrilov MB, Pavić D, Zorn M, Komac B, Miljković Đ, Sakulski D, Babić-Kekez S, Morar C, Janićević S. Rainfall erosivity and extreme precipitation in the Pannonian basin. in Open Geosciences. 2019;11(1):664-681.
doi:10.1515/geo-2019-0053
https://hdl.handle.net/21.15107/rcub_gery_989 .
Lukić, Tin, Lukić, Aco, Basarin, Biljana, Micić-Ponjiger, Tanja, Blagojević, Dragana, Mesaros, Minucer, Milanović, Miško, Gavrilov, Milivoj B., Pavić, Dragoslav, Zorn, Matija, Komac, Blaz, Miljković, Đurđa, Sakulski, Dušan, Babić-Kekez, Snežana, Morar, Cezar, Janićević, Sava, "Rainfall erosivity and extreme precipitation in the Pannonian basin" in Open Geosciences, 11, no. 1 (2019):664-681,
https://doi.org/10.1515/geo-2019-0053 .,
https://hdl.handle.net/21.15107/rcub_gery_989 .
4
37
13
35

Factors triggering landslide occurrence on the Zemun loess plateau, Belgrade area, Serbia

Lukić, Tin; Bjelajac, Dajana; Fitzsimmons, Kathryn E.; Marković, Slobodan B.; Basarin, Biljana; Mladjan, Dragan; Micić, Tanja; Schaetzl, Randall J.; Gavrilov, Milivoj B.; Milanović, Miško; Sipos, Gyorgy; Mezosi, Gabor; Knezevic-Lukić, Nevenka; Milinčić, Miroljub; Letal, Ales; Samardžić, Ivan

(Springer, New York, 2018)

TY  - JOUR
AU  - Lukić, Tin
AU  - Bjelajac, Dajana
AU  - Fitzsimmons, Kathryn E.
AU  - Marković, Slobodan B.
AU  - Basarin, Biljana
AU  - Mladjan, Dragan
AU  - Micić, Tanja
AU  - Schaetzl, Randall J.
AU  - Gavrilov, Milivoj B.
AU  - Milanović, Miško
AU  - Sipos, Gyorgy
AU  - Mezosi, Gabor
AU  - Knezevic-Lukić, Nevenka
AU  - Milinčić, Miroljub
AU  - Letal, Ales
AU  - Samardžić, Ivan
PY  - 2018
UR  - https://gery.gef.bg.ac.rs/handle/123456789/932
AB  - Among the numerous factors that trigger landslide events, the anthropogenic impact caused by inadequate planning and faulty land use in urban areas is increasing. The Zemun settlement on the northern outskirts of Belgrade has experienced a number of landslides in the last three decades, endangering buildings and roads, and claiming human lives, particularly in the case of the 2010/2011 landslides. Selected meteorological parameters were used to calculate rainfall erosivity indices such as Precipitation Concentration Index and Modified Fournier Index over the period 1991-2015. Drought indices, Lang aridity index and Palfai Drought Index were calculated as well. Mann-Kendall trend test was applied to identify potential rising and/or declining trends both in meteorological parameters and calculated indices. Trend analysis of the annual and seasonal scales yielded a statistically significant trend in the spring time series. Stable arid and pronounced drought conditions were recorded. The modified Fournier index based on monthly mean values yields moderate aggressiveness, with several extreme values indicating very high erosivity classes, especially for 2010/2011. The geological substrate is predominantly loess and hence highly susceptible to erosion and slope failure when climatological conditions are suitable. Accelerated urbanization at the end of the last century reduced vegetation cover, intensified pressure on the vertical loess slope, and lacked suitable rain drainage systems so that surface-water runoff was directed into the porous loess, thereby endangering slope stability. We proposed a geomorphic model to describe the nature of the erosional processes on the loess cliffs of the Zemun loess plateau. Results from this study have implications for mitigation strategies.
PB  - Springer, New York
T2  - Environmental Earth Sciences
T1  - Factors triggering landslide occurrence on the Zemun loess plateau, Belgrade area, Serbia
VL  - 77
IS  - 13
DO  - 10.1007/s12665-018-7712-z
UR  - https://hdl.handle.net/21.15107/rcub_gery_932
ER  - 
@article{
author = "Lukić, Tin and Bjelajac, Dajana and Fitzsimmons, Kathryn E. and Marković, Slobodan B. and Basarin, Biljana and Mladjan, Dragan and Micić, Tanja and Schaetzl, Randall J. and Gavrilov, Milivoj B. and Milanović, Miško and Sipos, Gyorgy and Mezosi, Gabor and Knezevic-Lukić, Nevenka and Milinčić, Miroljub and Letal, Ales and Samardžić, Ivan",
year = "2018",
abstract = "Among the numerous factors that trigger landslide events, the anthropogenic impact caused by inadequate planning and faulty land use in urban areas is increasing. The Zemun settlement on the northern outskirts of Belgrade has experienced a number of landslides in the last three decades, endangering buildings and roads, and claiming human lives, particularly in the case of the 2010/2011 landslides. Selected meteorological parameters were used to calculate rainfall erosivity indices such as Precipitation Concentration Index and Modified Fournier Index over the period 1991-2015. Drought indices, Lang aridity index and Palfai Drought Index were calculated as well. Mann-Kendall trend test was applied to identify potential rising and/or declining trends both in meteorological parameters and calculated indices. Trend analysis of the annual and seasonal scales yielded a statistically significant trend in the spring time series. Stable arid and pronounced drought conditions were recorded. The modified Fournier index based on monthly mean values yields moderate aggressiveness, with several extreme values indicating very high erosivity classes, especially for 2010/2011. The geological substrate is predominantly loess and hence highly susceptible to erosion and slope failure when climatological conditions are suitable. Accelerated urbanization at the end of the last century reduced vegetation cover, intensified pressure on the vertical loess slope, and lacked suitable rain drainage systems so that surface-water runoff was directed into the porous loess, thereby endangering slope stability. We proposed a geomorphic model to describe the nature of the erosional processes on the loess cliffs of the Zemun loess plateau. Results from this study have implications for mitigation strategies.",
publisher = "Springer, New York",
journal = "Environmental Earth Sciences",
title = "Factors triggering landslide occurrence on the Zemun loess plateau, Belgrade area, Serbia",
volume = "77",
number = "13",
doi = "10.1007/s12665-018-7712-z",
url = "https://hdl.handle.net/21.15107/rcub_gery_932"
}
Lukić, T., Bjelajac, D., Fitzsimmons, K. E., Marković, S. B., Basarin, B., Mladjan, D., Micić, T., Schaetzl, R. J., Gavrilov, M. B., Milanović, M., Sipos, G., Mezosi, G., Knezevic-Lukić, N., Milinčić, M., Letal, A.,& Samardžić, I.. (2018). Factors triggering landslide occurrence on the Zemun loess plateau, Belgrade area, Serbia. in Environmental Earth Sciences
Springer, New York., 77(13).
https://doi.org/10.1007/s12665-018-7712-z
https://hdl.handle.net/21.15107/rcub_gery_932
Lukić T, Bjelajac D, Fitzsimmons KE, Marković SB, Basarin B, Mladjan D, Micić T, Schaetzl RJ, Gavrilov MB, Milanović M, Sipos G, Mezosi G, Knezevic-Lukić N, Milinčić M, Letal A, Samardžić I. Factors triggering landslide occurrence on the Zemun loess plateau, Belgrade area, Serbia. in Environmental Earth Sciences. 2018;77(13).
doi:10.1007/s12665-018-7712-z
https://hdl.handle.net/21.15107/rcub_gery_932 .
Lukić, Tin, Bjelajac, Dajana, Fitzsimmons, Kathryn E., Marković, Slobodan B., Basarin, Biljana, Mladjan, Dragan, Micić, Tanja, Schaetzl, Randall J., Gavrilov, Milivoj B., Milanović, Miško, Sipos, Gyorgy, Mezosi, Gabor, Knezevic-Lukić, Nevenka, Milinčić, Miroljub, Letal, Ales, Samardžić, Ivan, "Factors triggering landslide occurrence on the Zemun loess plateau, Belgrade area, Serbia" in Environmental Earth Sciences, 77, no. 13 (2018),
https://doi.org/10.1007/s12665-018-7712-z .,
https://hdl.handle.net/21.15107/rcub_gery_932 .
29
8
32

Rainfall erosivity and extreme precipitation in the Netherlands

Lukić, Tin; Basarin, Biljana; Micić, Tanja; Bjelajac, Dajana; Maris, Tiemen; Marković, Slobodan B.; Pavić, Dragoslav; Gavrilov, Milivoj B.; Mesaros, Minucer

(Budapest : Hungarian Meteorological Service, 2018)

TY  - JOUR
AU  - Lukić, Tin
AU  - Basarin, Biljana
AU  - Micić, Tanja
AU  - Bjelajac, Dajana
AU  - Maris, Tiemen
AU  - Marković, Slobodan B.
AU  - Pavić, Dragoslav
AU  - Gavrilov, Milivoj B.
AU  - Mesaros, Minucer
PY  - 2018
UR  - https://gery.gef.bg.ac.rs/handle/123456789/896
AB  - In order to assess the rainfall erosivity of the Netherlands, several parameters which describe distribution, concentration, and variability of precipitation were used (the annual amount of precipitation, the precipitation concentration index and the modified Fournier index), as well as eleven extreme precipitation indices (maximuml -day precipitation amount, maximum 5-day precipitation amount, simple daily intensity index, number of heavy precipitation days, number of very heavy precipitation days, number of days above 25 mm, consecutive dry days, consecutive wet days, very wet days, extremely wet days, and annual total wet-day precipitation). The precipitation data for calculating the above mentioned parameters is obtained from the Royal Netherlands Meteorological Institute for the period 1957-2016. Based on statistical analysis and the calculated values, the results have been presented with the Geographic Information System (GIS) to point out the most vulnerable parts of the Netherlands with regard to pluvial erosion. This study presents the first results of combined rainfall erosivity and extreme precipitation indices for the investigated area. Trend analysis implies a shift from being largely in the low erosivity class to being completely in the moderate erosivity class in the future, thus indicating an increase in rainfall erosivity. Furthermore, the observed precipitation extremes suggest that both the amount and the intensity of precipitation are increasing. The results of this study suggest that the climate conditions in the Netherlands are changing, and that this change might have a negative influence on the rainfall erosivity of the country.
PB  - Budapest : Hungarian Meteorological Service
T2  - Időjárás
T1  - Rainfall erosivity and extreme precipitation in the Netherlands
VL  - 122
IS  - 4
SP  - 409
EP  - 432
DO  - 10.28974/idojaras.2018.4.4
UR  - https://hdl.handle.net/21.15107/rcub_gery_896
ER  - 
@article{
author = "Lukić, Tin and Basarin, Biljana and Micić, Tanja and Bjelajac, Dajana and Maris, Tiemen and Marković, Slobodan B. and Pavić, Dragoslav and Gavrilov, Milivoj B. and Mesaros, Minucer",
year = "2018",
abstract = "In order to assess the rainfall erosivity of the Netherlands, several parameters which describe distribution, concentration, and variability of precipitation were used (the annual amount of precipitation, the precipitation concentration index and the modified Fournier index), as well as eleven extreme precipitation indices (maximuml -day precipitation amount, maximum 5-day precipitation amount, simple daily intensity index, number of heavy precipitation days, number of very heavy precipitation days, number of days above 25 mm, consecutive dry days, consecutive wet days, very wet days, extremely wet days, and annual total wet-day precipitation). The precipitation data for calculating the above mentioned parameters is obtained from the Royal Netherlands Meteorological Institute for the period 1957-2016. Based on statistical analysis and the calculated values, the results have been presented with the Geographic Information System (GIS) to point out the most vulnerable parts of the Netherlands with regard to pluvial erosion. This study presents the first results of combined rainfall erosivity and extreme precipitation indices for the investigated area. Trend analysis implies a shift from being largely in the low erosivity class to being completely in the moderate erosivity class in the future, thus indicating an increase in rainfall erosivity. Furthermore, the observed precipitation extremes suggest that both the amount and the intensity of precipitation are increasing. The results of this study suggest that the climate conditions in the Netherlands are changing, and that this change might have a negative influence on the rainfall erosivity of the country.",
publisher = "Budapest : Hungarian Meteorological Service",
journal = "Időjárás",
title = "Rainfall erosivity and extreme precipitation in the Netherlands",
volume = "122",
number = "4",
pages = "409-432",
doi = "10.28974/idojaras.2018.4.4",
url = "https://hdl.handle.net/21.15107/rcub_gery_896"
}
Lukić, T., Basarin, B., Micić, T., Bjelajac, D., Maris, T., Marković, S. B., Pavić, D., Gavrilov, M. B.,& Mesaros, M.. (2018). Rainfall erosivity and extreme precipitation in the Netherlands. in Időjárás
Budapest : Hungarian Meteorological Service., 122(4), 409-432.
https://doi.org/10.28974/idojaras.2018.4.4
https://hdl.handle.net/21.15107/rcub_gery_896
Lukić T, Basarin B, Micić T, Bjelajac D, Maris T, Marković SB, Pavić D, Gavrilov MB, Mesaros M. Rainfall erosivity and extreme precipitation in the Netherlands. in Időjárás. 2018;122(4):409-432.
doi:10.28974/idojaras.2018.4.4
https://hdl.handle.net/21.15107/rcub_gery_896 .
Lukić, Tin, Basarin, Biljana, Micić, Tanja, Bjelajac, Dajana, Maris, Tiemen, Marković, Slobodan B., Pavić, Dragoslav, Gavrilov, Milivoj B., Mesaros, Minucer, "Rainfall erosivity and extreme precipitation in the Netherlands" in Időjárás, 122, no. 4 (2018):409-432,
https://doi.org/10.28974/idojaras.2018.4.4 .,
https://hdl.handle.net/21.15107/rcub_gery_896 .
11
4
11