2019
DOI: 10.26480/ees.01.2019.17.25
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Spatial Variability of Soil Erodibility at El Hammam Catchment, Northeast of Algeria

Abstract: The concept of erodibility has gained a great importance in the field of soil erosion modelling and applications of soil conservation. Soil erodibility factor has become one of the key factors which determine soil particles resistance to be detached by water erosion. This study was performed to determine soil erodibility factor and assess spatial variability of soil erodibility using geostatistics at El Hammam catchment. In this study 51 samples of surface soil (0-20cm) were collected across the study area of … Show more

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Cited by 16 publications
(9 citation statements)
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References 39 publications
(40 reference statements)
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“…Consequently, USLE-K has a significant negative correlation between % sand (r=0.80, p=9.44E-06). The indices of soil erodibility and susceptibility to erosion are impacted by soil aggregates (Khanchoul and Boubehziz, 2019;Kumar and Kushwaha, 2013;Madubuike et al, 2020). Given that sandy soils have a low drainage rate, the findings of this study indicating that sand content has a significant negative correlation with the erodibility factor suggest that soils high in the sand can achieve lower erodibility since sand content decreases soil erodibility (Khanchoul and Boubehziz, 2019;Madubuike et al, 2020;Radziuk and Switoniak, 2021).…”
Section: Particle Size Distribution Soil Texture Organic Matter and K...mentioning
confidence: 77%
“…Consequently, USLE-K has a significant negative correlation between % sand (r=0.80, p=9.44E-06). The indices of soil erodibility and susceptibility to erosion are impacted by soil aggregates (Khanchoul and Boubehziz, 2019;Kumar and Kushwaha, 2013;Madubuike et al, 2020). Given that sandy soils have a low drainage rate, the findings of this study indicating that sand content has a significant negative correlation with the erodibility factor suggest that soils high in the sand can achieve lower erodibility since sand content decreases soil erodibility (Khanchoul and Boubehziz, 2019;Madubuike et al, 2020;Radziuk and Switoniak, 2021).…”
Section: Particle Size Distribution Soil Texture Organic Matter and K...mentioning
confidence: 77%
“…For noise emission prediction (Fig. 3), IGSA-War also obtains an ideal prediction effect, and the prediction error is controlled within an effective range (Khanchoul and Boubehziz, 2019). This is because IGSA-War comprehensively weighs the principle of structural risk minimization and empirical risk minimization, so that the model has certain Anti-noise ability, can adapt to the characteristics of complex and variable, noisy ecological environment changes.…”
Section: Comparison Of Models Considering the Existence Of Noisementioning
confidence: 99%
“…Germany, Spain and California). Some researches chose the humid forest of Central Europe (Buczko et al, 2002;Hubbert and Oriol, 2005;Khanchoul and Boubehziz, 2019). The researches that study the SWR in large scale area were few.…”
Section: Synthesismentioning
confidence: 99%