Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Evaluation of the sensitivity of the RUSLE erosion model to rainfall erosivity: a case study of the Ksob watershed in central Algeria
Water erosion is a serious challenge in Algeria, because it affects ecosystems, contributes to soil degradation, and leads to the silting of dams; moreover, this process is complex and needs costly field equipment and trip reconnaissance. The main objective of this paper is to evaluate the sensitivity of the Revised Universal Soil Loss Equation (RUSLE) model to rainfall erosivity in the Ksob watershed in Algeria, using six empirical formulas of rainfall erosivity. The RUSLE model with the Geographic Information System (GIS) produces highly variable specific soil loss ranging from 11.35 to 22.85 t ha−1 year−1 throughout the watershed, depending on the erosivity R factor. To validate the results, the soil loss is compared with the silting volume data of the Ksob dam, which is located at the outflow of the basin. The best result is obtained using the Diodato R factor formula with a relative error of 21% and a specific soil loss of 11.35 t ha−1 year−1. Moreover, over 81% of the watershed area is exposed to low erosion (<20 t ha−1 year−1), and less than 5% are affected by high erosion (>50 t ha−1 year−1). HIGHLIGHTS The RUSLE model (using six empirical formulas of rainfall erosivity R factor) integrated with GIS has been successfully used for quantitative assessment and mapping of soil losses.; The quality of the RUSLE results and the performance of the R factor were verified by the bathymetric measurements of the Ksob dam.; The best result is obtained with Diodato (2004, 2005) R formula with a relative error of 21%.;
Evaluation of the sensitivity of the RUSLE erosion model to rainfall erosivity: a case study of the Ksob watershed in central Algeria
Water erosion is a serious challenge in Algeria, because it affects ecosystems, contributes to soil degradation, and leads to the silting of dams; moreover, this process is complex and needs costly field equipment and trip reconnaissance. The main objective of this paper is to evaluate the sensitivity of the Revised Universal Soil Loss Equation (RUSLE) model to rainfall erosivity in the Ksob watershed in Algeria, using six empirical formulas of rainfall erosivity. The RUSLE model with the Geographic Information System (GIS) produces highly variable specific soil loss ranging from 11.35 to 22.85 t ha−1 year−1 throughout the watershed, depending on the erosivity R factor. To validate the results, the soil loss is compared with the silting volume data of the Ksob dam, which is located at the outflow of the basin. The best result is obtained using the Diodato R factor formula with a relative error of 21% and a specific soil loss of 11.35 t ha−1 year−1. Moreover, over 81% of the watershed area is exposed to low erosion (<20 t ha−1 year−1), and less than 5% are affected by high erosion (>50 t ha−1 year−1). HIGHLIGHTS The RUSLE model (using six empirical formulas of rainfall erosivity R factor) integrated with GIS has been successfully used for quantitative assessment and mapping of soil losses.; The quality of the RUSLE results and the performance of the R factor were verified by the bathymetric measurements of the Ksob dam.; The best result is obtained with Diodato (2004, 2005) R formula with a relative error of 21%.;
Evaluation of the sensitivity of the RUSLE erosion model to rainfall erosivity: a case study of the Ksob watershed in central Algeria
Fouad Sakhraoui (Autor:in) / Mahmoud Hasbaia (Autor:in)
2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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Geographic Variation of USLE/RUSLE Erosivity and Erodibility Factors
| British Library Online Contents | 2015
Geographic Variation of USLE/RUSLE Erosivity and Erodibility Factors
| Online Contents | 2015