TY  - JOUR
AU  - Spalević, V.
AU  - Barović, G.
AU  - Vujacić, D.
AU  - Curović, M.
AU  - Behzadfar, M.
AU  - Djurović, Nevenka
AU  - Dudić, B.
AU  - Billi, P.
PY  - 2020
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5429
AB  - Land use change in all river basins leads to changes in hydrologic response, soil erosion, and sediment dynamics characteristics. Those changes are often viewed as the main cause of accelerated erosion rates. We studied the impact of land use changes on soil erosion processes in one of the watersheds in Montenegro: the Miocki Potok, using this watershed as a pilot river basin for this area. We simulated responses of soil erosion processes by using a process-oriented soil erosion Intensity of Erosion and Outflow (IntErO) model, with different settings of land use for the years 1970, 1980, 1990, 2000, 2010, and 2020. The model provides fast, effective, and affordable insight into the effects of land use change on soil erosion processes. Testing of the applied procedures was important for the further establishment of watershed management methodologies at the national level, for the other 300 river basins of Montenegro. For the current state of land use, calculated peak discharge for the Miocki Potok was 364 m3 s−1 (2020)–372 m3 s−1 (1970) for the incidence of 100 years, and there is a possibility for large flood waves to appear in the studied basin. Real soil losses, Gyear, were calculated at 13680 m3 year−1 (2020) and specific 333 m3 km−2 year−1 (2020). A Z coefficient value of 0.439 (2020) indicated that the river basin belongs to destruction category III. The strength of the erosion process was medium, and according to the erosion type, it was mixed erosion. According to our analysis, the land use changes in the last 50 years influenced a decrease in the soil erosion intensity for 14% in the Miocki Potok River Basin. Further studies should be focused on the detailed analysis of the land use changes trends with the other river basins at the national level, closely following responses of soil erosion to the changed land use structure, and effects of plant-and-soil interaction on soil erosion and sediment dynamics.
PB  - MDPI AG
T2  - Water (Switzerland)
T1  - The impact of land use changes on soil erosion in the river basin of miocki potok, montenegro
EP  - 28
IS  - 11
SP  - 1
VL  - 12
DO  - 10.3390/w12112973
ER  - 

@article{
author = "Spalević, V. and Barović, G. and Vujacić, D. and Curović, M. and Behzadfar, M. and Djurović, Nevenka and Dudić, B. and Billi, P.",
year = "2020",
abstract = "Land use change in all river basins leads to changes in hydrologic response, soil erosion, and sediment dynamics characteristics. Those changes are often viewed as the main cause of accelerated erosion rates. We studied the impact of land use changes on soil erosion processes in one of the watersheds in Montenegro: the Miocki Potok, using this watershed as a pilot river basin for this area. We simulated responses of soil erosion processes by using a process-oriented soil erosion Intensity of Erosion and Outflow (IntErO) model, with different settings of land use for the years 1970, 1980, 1990, 2000, 2010, and 2020. The model provides fast, effective, and affordable insight into the effects of land use change on soil erosion processes. Testing of the applied procedures was important for the further establishment of watershed management methodologies at the national level, for the other 300 river basins of Montenegro. For the current state of land use, calculated peak discharge for the Miocki Potok was 364 m3 s−1 (2020)–372 m3 s−1 (1970) for the incidence of 100 years, and there is a possibility for large flood waves to appear in the studied basin. Real soil losses, Gyear, were calculated at 13680 m3 year−1 (2020) and specific 333 m3 km−2 year−1 (2020). A Z coefficient value of 0.439 (2020) indicated that the river basin belongs to destruction category III. The strength of the erosion process was medium, and according to the erosion type, it was mixed erosion. According to our analysis, the land use changes in the last 50 years influenced a decrease in the soil erosion intensity for 14% in the Miocki Potok River Basin. Further studies should be focused on the detailed analysis of the land use changes trends with the other river basins at the national level, closely following responses of soil erosion to the changed land use structure, and effects of plant-and-soil interaction on soil erosion and sediment dynamics.",
publisher = "MDPI AG",
journal = "Water (Switzerland)",
title = "The impact of land use changes on soil erosion in the river basin of miocki potok, montenegro",
pages = "28-1",
number = "11",
volume = "12",
doi = "10.3390/w12112973"
}

Spalević, V., Barović, G., Vujacić, D., Curović, M., Behzadfar, M., Djurović, N., Dudić, B.,& Billi, P.. (2020). The impact of land use changes on soil erosion in the river basin of miocki potok, montenegro. in Water (Switzerland)
MDPI AG., 12(11), 1-28.
https://doi.org/10.3390/w12112973

Spalević V, Barović G, Vujacić D, Curović M, Behzadfar M, Djurović N, Dudić B, Billi P. The impact of land use changes on soil erosion in the river basin of miocki potok, montenegro. in Water (Switzerland). 2020;12(11):1-28.
doi:10.3390/w12112973 .

Spalević, V., Barović, G., Vujacić, D., Curović, M., Behzadfar, M., Djurović, Nevenka, Dudić, B., Billi, P., "The impact of land use changes on soil erosion in the river basin of miocki potok, montenegro" in Water (Switzerland), 12, no. 11 (2020):1-28,
https://doi.org/10.3390/w12112973 . .

TY  - JOUR
AU  - Djurović, Nevenka
AU  - Domazet, Milka
AU  - Stričević, Ružica
AU  - Počuča, Vesna
AU  - Spalević, V.
AU  - Pivić, Radmila
AU  - Gregorić, Eniko
AU  - Domazet, Uroš
PY  - 2015
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/3838
AB  - Water table forecasting plays an important role in the management of groundwater resources in agricultural regions where there are drainage systems in river valleys. The results presented in this paper pertain to an area along the left bank of the Danube River, in the Province of Vojvodina, which is the northern part of Serbia. Two soft computing techniques were used in this research: an adaptive neurofuzzy inference system (ANFIS) and an artificial neural network (ANN) model for one-month water table forecasts at several wells located at different distances from the river. The results suggest that both these techniques represent useful tools for modeling hydrological processes in agriculture, with similar computing and memory capabilities, such that they constitute an exceptionally good numerical framework for generating high-quality models.
PB  - Hindawi Publishing Corporation
T2  - Scientific World Journal
T1  - Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS
VL  - 2015
DO  - 10.1155/2015/742138
ER  - 

@article{
author = "Djurović, Nevenka and Domazet, Milka and Stričević, Ružica and Počuča, Vesna and Spalević, V. and Pivić, Radmila and Gregorić, Eniko and Domazet, Uroš",
year = "2015",
abstract = "Water table forecasting plays an important role in the management of groundwater resources in agricultural regions where there are drainage systems in river valleys. The results presented in this paper pertain to an area along the left bank of the Danube River, in the Province of Vojvodina, which is the northern part of Serbia. Two soft computing techniques were used in this research: an adaptive neurofuzzy inference system (ANFIS) and an artificial neural network (ANN) model for one-month water table forecasts at several wells located at different distances from the river. The results suggest that both these techniques represent useful tools for modeling hydrological processes in agriculture, with similar computing and memory capabilities, such that they constitute an exceptionally good numerical framework for generating high-quality models.",
publisher = "Hindawi Publishing Corporation",
journal = "Scientific World Journal",
title = "Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS",
volume = "2015",
doi = "10.1155/2015/742138"
}

Djurović, N., Domazet, M., Stričević, R., Počuča, V., Spalević, V., Pivić, R., Gregorić, E.,& Domazet, U.. (2015). Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS. in Scientific World Journal
Hindawi Publishing Corporation., 2015.
https://doi.org/10.1155/2015/742138

Djurović N, Domazet M, Stričević R, Počuča V, Spalević V, Pivić R, Gregorić E, Domazet U. Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS. in Scientific World Journal. 2015;2015.
doi:10.1155/2015/742138 .

Djurović, Nevenka, Domazet, Milka, Stričević, Ružica, Počuča, Vesna, Spalević, V., Pivić, Radmila, Gregorić, Eniko, Domazet, Uroš, "Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS" in Scientific World Journal, 2015 (2015),
https://doi.org/10.1155/2015/742138 . .