Lazović, Vojislav

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  • Lazović, Vojislav (2)
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Author's Bibliography

Ambiguity in the results of USLE K–factor obtained by nomograph and erodibility equation

Životić, Ljubomir; Gajić, Boško; Ćosić, Marija; Kaluđerović, Lazar; Lazović, Vojislav

(University of East Sarajevo, Faculty of Agriculture, Republic of Srpska, Bosnia, 2022)

TY  - CONF
AU  - Životić, Ljubomir
AU  - Gajić, Boško
AU  - Ćosić, Marija
AU  - Kaluđerović, Lazar
AU  - Lazović, Vojislav
PY  - 2022
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6500
AB  - Universal Soil Loss Equation (USLE) is the most applied model for soil erosion assessment. It
takes into consideration five soil erosion factors among which soil erodibilty factor (K) is a
measure of inheritant reistance of soils to erosion. In the formulation of USLE model, K–factor
was determined experimentally, and then the authors created USLE nomograph to facilitate the
work, and in the next step, created the equation for faster K–factor determination. This paper
aims to compare K–factor obtained by USLE nomograph and USLE equation. A total number of
108 soil samples have been collected in Western Serbia. For the determination of K–values,
particle size distribution and soil organic matter were analyzed in the laboratory, whereas soil
permeability and soil structure were assessed according to the USLE document procedure. The
results have been compared using basic statistics. The average K–values obtained by nomograph
and equation differ for almost 15%. There is statistically significant correlation between the two
methods, but coefficient of determination amounts to 0.5802, which indicates pretty high
deviation. Root Mean Square Error (RMSE) amounts to 0.008, which is quite high, whereas
index of agreement amounts to 0.93, representing good agreement. These results are ambiguous.
We think that 15% of absolute error is a threshold value between single samples, which occur in
only 56% of the cases. Therefore, the obtained results indicate the gaps in the determination of
K–factor and could contribute to further improvment of soil erodibilty determination and
consequently, soil erosion assessment.
PB  - University of East Sarajevo, Faculty of Agriculture, Republic of Srpska, Bosnia
C3  - XIII International Scientific Agricultural Symposium “Agrosym 2022"
T1  - Ambiguity in the results of USLE K–factor obtained by nomograph and erodibility equation
EP  - 968
SP  - 962
UR  - https://hdl.handle.net/21.15107/rcub_agrospace_6500
ER  - 
@conference{
author = "Životić, Ljubomir and Gajić, Boško and Ćosić, Marija and Kaluđerović, Lazar and Lazović, Vojislav",
year = "2022",
abstract = "Universal Soil Loss Equation (USLE) is the most applied model for soil erosion assessment. It
takes into consideration five soil erosion factors among which soil erodibilty factor (K) is a
measure of inheritant reistance of soils to erosion. In the formulation of USLE model, K–factor
was determined experimentally, and then the authors created USLE nomograph to facilitate the
work, and in the next step, created the equation for faster K–factor determination. This paper
aims to compare K–factor obtained by USLE nomograph and USLE equation. A total number of
108 soil samples have been collected in Western Serbia. For the determination of K–values,
particle size distribution and soil organic matter were analyzed in the laboratory, whereas soil
permeability and soil structure were assessed according to the USLE document procedure. The
results have been compared using basic statistics. The average K–values obtained by nomograph
and equation differ for almost 15%. There is statistically significant correlation between the two
methods, but coefficient of determination amounts to 0.5802, which indicates pretty high
deviation. Root Mean Square Error (RMSE) amounts to 0.008, which is quite high, whereas
index of agreement amounts to 0.93, representing good agreement. These results are ambiguous.
We think that 15% of absolute error is a threshold value between single samples, which occur in
only 56% of the cases. Therefore, the obtained results indicate the gaps in the determination of
K–factor and could contribute to further improvment of soil erodibilty determination and
consequently, soil erosion assessment.",
publisher = "University of East Sarajevo, Faculty of Agriculture, Republic of Srpska, Bosnia",
journal = "XIII International Scientific Agricultural Symposium “Agrosym 2022"",
title = "Ambiguity in the results of USLE K–factor obtained by nomograph and erodibility equation",
pages = "968-962",
url = "https://hdl.handle.net/21.15107/rcub_agrospace_6500"
}
Životić, L., Gajić, B., Ćosić, M., Kaluđerović, L.,& Lazović, V.. (2022). Ambiguity in the results of USLE K–factor obtained by nomograph and erodibility equation. in XIII International Scientific Agricultural Symposium “Agrosym 2022"
University of East Sarajevo, Faculty of Agriculture, Republic of Srpska, Bosnia., 962-968.
https://hdl.handle.net/21.15107/rcub_agrospace_6500
Životić L, Gajić B, Ćosić M, Kaluđerović L, Lazović V. Ambiguity in the results of USLE K–factor obtained by nomograph and erodibility equation. in XIII International Scientific Agricultural Symposium “Agrosym 2022". 2022;:962-968.
https://hdl.handle.net/21.15107/rcub_agrospace_6500 .
Životić, Ljubomir, Gajić, Boško, Ćosić, Marija, Kaluđerović, Lazar, Lazović, Vojislav, "Ambiguity in the results of USLE K–factor obtained by nomograph and erodibility equation" in XIII International Scientific Agricultural Symposium “Agrosym 2022" (2022):962-968,
https://hdl.handle.net/21.15107/rcub_agrospace_6500 .

Differences in Determination of Soil Erodibility Between USLE Nomograph and Erodibility Equation

Životić, Ljubomir; Gajić, Boško; Ćosić, Marija; Kaluđerović, Lazar; Lazović, Vojislav

(University of Banja Luka Faculty of Agriculture, 2022)

TY  - CONF
AU  - Životić, Ljubomir
AU  - Gajić, Boško
AU  - Ćosić, Marija
AU  - Kaluđerović, Lazar
AU  - Lazović, Vojislav
PY  - 2022
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6501
AB  - Universal Soil Loss Equation (USLE) is the most applied model for soil erosion assessment. It takes into consideration five soil erosion factors: rainfall erosivity, topographic factor, vegetation cover, applied conservation practices, and soil erodibility. Soil erodibilty factor (K-factor) is a measure of inheritant reistance of soils to erosion. In the formulation of USLE model, K-factor was determined experimentally. Experimental determinations are costly and time- consuming, so the authors have encouraged scientists to utilise USLE nomograph or derived equations. This paper aims to compare USLE nomograph and soil erodibility equation which was derived from nomograph by the same authors. A total number of 108 soil samples have been collected on agricultural land of Western Serbia. For the determination of K-values, particle size distribution and soil organic matter content were determined in the laboratory, whereas soil permeability and soil structure were assessed according to the nomograph. The results have been compared using basic statistics. The average K-values obtained by nomograph and derived equation are 0.034±0.010 and 0.029±0.012, which is 14.7% difference. Coefficient of determination (R2) amounts to 0.5802, which indicates deviation of 23.9%, although there is statistically significant correlation between two methods. Root Mean Square Error (RMSE) is 0.008, which is 23–27% difference. The RMSE is not low, whereas index of agreement amounts to 0.93, which represent good agreement, and also there is significant correlation. These results are ambiguous. We think that 15% of absolute error is a threshold value for good correlation, which occur on only 56% of samples. K-factor is an important part of various soil erosion models and it is of high importance to determine it in the best manner. Therefore, the obtained results indicate the gaps in the determination of K-factor and could contribute to further improvment of soil erodibilty determination and consequently, soil erosion assessment.
PB  - University of Banja Luka Faculty of Agriculture
C3  - 11th International Symposium of Agricultural Sciences "AGRORES 2022", 26–28 May, 2022, Trebinje, Bosnia and Herzegovina
T1  - Differences in Determination of Soil Erodibility Between USLE Nomograph and Erodibility Equation
EP  - 52
SP  - 52
UR  - https://hdl.handle.net/21.15107/rcub_agrospace_6501
ER  - 
@conference{
author = "Životić, Ljubomir and Gajić, Boško and Ćosić, Marija and Kaluđerović, Lazar and Lazović, Vojislav",
year = "2022",
abstract = "Universal Soil Loss Equation (USLE) is the most applied model for soil erosion assessment. It takes into consideration five soil erosion factors: rainfall erosivity, topographic factor, vegetation cover, applied conservation practices, and soil erodibility. Soil erodibilty factor (K-factor) is a measure of inheritant reistance of soils to erosion. In the formulation of USLE model, K-factor was determined experimentally. Experimental determinations are costly and time- consuming, so the authors have encouraged scientists to utilise USLE nomograph or derived equations. This paper aims to compare USLE nomograph and soil erodibility equation which was derived from nomograph by the same authors. A total number of 108 soil samples have been collected on agricultural land of Western Serbia. For the determination of K-values, particle size distribution and soil organic matter content were determined in the laboratory, whereas soil permeability and soil structure were assessed according to the nomograph. The results have been compared using basic statistics. The average K-values obtained by nomograph and derived equation are 0.034±0.010 and 0.029±0.012, which is 14.7% difference. Coefficient of determination (R2) amounts to 0.5802, which indicates deviation of 23.9%, although there is statistically significant correlation between two methods. Root Mean Square Error (RMSE) is 0.008, which is 23–27% difference. The RMSE is not low, whereas index of agreement amounts to 0.93, which represent good agreement, and also there is significant correlation. These results are ambiguous. We think that 15% of absolute error is a threshold value for good correlation, which occur on only 56% of samples. K-factor is an important part of various soil erosion models and it is of high importance to determine it in the best manner. Therefore, the obtained results indicate the gaps in the determination of K-factor and could contribute to further improvment of soil erodibilty determination and consequently, soil erosion assessment.",
publisher = "University of Banja Luka Faculty of Agriculture",
journal = "11th International Symposium of Agricultural Sciences "AGRORES 2022", 26–28 May, 2022, Trebinje, Bosnia and Herzegovina",
title = "Differences in Determination of Soil Erodibility Between USLE Nomograph and Erodibility Equation",
pages = "52-52",
url = "https://hdl.handle.net/21.15107/rcub_agrospace_6501"
}
Životić, L., Gajić, B., Ćosić, M., Kaluđerović, L.,& Lazović, V.. (2022). Differences in Determination of Soil Erodibility Between USLE Nomograph and Erodibility Equation. in 11th International Symposium of Agricultural Sciences "AGRORES 2022", 26–28 May, 2022, Trebinje, Bosnia and Herzegovina
University of Banja Luka Faculty of Agriculture., 52-52.
https://hdl.handle.net/21.15107/rcub_agrospace_6501
Životić L, Gajić B, Ćosić M, Kaluđerović L, Lazović V. Differences in Determination of Soil Erodibility Between USLE Nomograph and Erodibility Equation. in 11th International Symposium of Agricultural Sciences "AGRORES 2022", 26–28 May, 2022, Trebinje, Bosnia and Herzegovina. 2022;:52-52.
https://hdl.handle.net/21.15107/rcub_agrospace_6501 .
Životić, Ljubomir, Gajić, Boško, Ćosić, Marija, Kaluđerović, Lazar, Lazović, Vojislav, "Differences in Determination of Soil Erodibility Between USLE Nomograph and Erodibility Equation" in 11th International Symposium of Agricultural Sciences "AGRORES 2022", 26–28 May, 2022, Trebinje, Bosnia and Herzegovina (2022):52-52,
https://hdl.handle.net/21.15107/rcub_agrospace_6501 .