TY  - JOUR
AU  - Polovina, Siniša
AU  - Radić, Boris
AU  - Ristić, Ratko
AU  - Kovačević, Jovan
AU  - Milčanović, Vukašin
AU  - Živanović, Nikola
PY  - 2021
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2357
AB  - Soil erosion is a global problem that negatively affects the quality of the environment, the availability of natural resources, as well as the safety of inhabitants. Soil erosion threatens the functioning of urban areas, which was the reason for choosing the territory of the Master Plan of Belgrade (Serbia) as the research area. The calculation of soil erosion loss was analyzed using the G2 erosion model. The model belongs to a group of empirical models and is based on the synthesis of the equation from the Revised Universal Soil Loss Equation (RUSLE) and the Erosion Potential Method (EPM). The estimation of soil degradation was analyzed in two time periods (2001 and 2019), which represent the time boundaries of the management of the Master Plan of Belgrade. The novel approach used in this research is based on using the land cover inventory as a dynamic indicator of the urbanization process. Land cover was identified using remote sensing, machine learning techniques, and the random forest algorithm applied to multispectral satellite images of the Landsat mission in combination with spectral indices. Climatic parameters were analyzed on the basis of data from meteorological stations (first scenario, i.e., 2001), as well as on simulations of changes based on climate scenario RCP8.5 (representative concentration pathways) concerning the current condition of the land cover (second scenario). A comparative analysis of the two time periods identified a slight reduction in total soil loss. For the first period, the average soil loss value is 4.11 t·ha−1·y−1. The analysis of the second period revealed an average value of 3.63 t·ha−1·y−1. However, the increase in non-porous surfaces has led to a change in the focus of soil degradation. Increased average soil loss as one of the catalysts of torrential flood frequencies registered on natural and semi-natural areas were 43.29% and 16.14%, respectively. These results are a significant contribution to the study of soil erosion in urban conditions under the impact of climate change.
PB  - MDPI
T2  - Applied Sciences
T1  - Soil Erosion Assessment and Prediction in Urban Landscapes: A New G2 Model Approach
IS  - 9
SP  - 4154
VL  - 11
DO  - https://doi.org/10.3390/app11094154
ER  - 

@article{
author = "Polovina, Siniša and Radić, Boris and Ristić, Ratko and Kovačević, Jovan and Milčanović, Vukašin and Živanović, Nikola",
year = "2021",
abstract = "Soil erosion is a global problem that negatively affects the quality of the environment, the availability of natural resources, as well as the safety of inhabitants. Soil erosion threatens the functioning of urban areas, which was the reason for choosing the territory of the Master Plan of Belgrade (Serbia) as the research area. The calculation of soil erosion loss was analyzed using the G2 erosion model. The model belongs to a group of empirical models and is based on the synthesis of the equation from the Revised Universal Soil Loss Equation (RUSLE) and the Erosion Potential Method (EPM). The estimation of soil degradation was analyzed in two time periods (2001 and 2019), which represent the time boundaries of the management of the Master Plan of Belgrade. The novel approach used in this research is based on using the land cover inventory as a dynamic indicator of the urbanization process. Land cover was identified using remote sensing, machine learning techniques, and the random forest algorithm applied to multispectral satellite images of the Landsat mission in combination with spectral indices. Climatic parameters were analyzed on the basis of data from meteorological stations (first scenario, i.e., 2001), as well as on simulations of changes based on climate scenario RCP8.5 (representative concentration pathways) concerning the current condition of the land cover (second scenario). A comparative analysis of the two time periods identified a slight reduction in total soil loss. For the first period, the average soil loss value is 4.11 t·ha−1·y−1. The analysis of the second period revealed an average value of 3.63 t·ha−1·y−1. However, the increase in non-porous surfaces has led to a change in the focus of soil degradation. Increased average soil loss as one of the catalysts of torrential flood frequencies registered on natural and semi-natural areas were 43.29% and 16.14%, respectively. These results are a significant contribution to the study of soil erosion in urban conditions under the impact of climate change.",
publisher = "MDPI",
journal = "Applied Sciences",
title = "Soil Erosion Assessment and Prediction in Urban Landscapes: A New G2 Model Approach",
number = "9",
pages = "4154",
volume = "11",
doi = "https://doi.org/10.3390/app11094154"
}

Polovina, S., Radić, B., Ristić, R., Kovačević, J., Milčanović, V.,& Živanović, N.. (2021). Soil Erosion Assessment and Prediction in Urban Landscapes: A New G2 Model Approach. in Applied Sciences
MDPI., 11(9), 4154.
https://doi.org/https://doi.org/10.3390/app11094154

Polovina S, Radić B, Ristić R, Kovačević J, Milčanović V, Živanović N. Soil Erosion Assessment and Prediction in Urban Landscapes: A New G2 Model Approach. in Applied Sciences. 2021;11(9):4154.
doi:https://doi.org/10.3390/app11094154 .

Polovina, Siniša, Radić, Boris, Ristić, Ratko, Kovačević, Jovan, Milčanović, Vukašin, Živanović, Nikola, "Soil Erosion Assessment and Prediction in Urban Landscapes: A New G2 Model Approach" in Applied Sciences, 11, no. 9 (2021):4154,
https://doi.org/https://doi.org/10.3390/app11094154 . .