The Experts below are selected from a list of 54351 Experts worldwide ranked by ideXlab platform
I. I. C. Wakindiki - One of the best experts on this subject based on the ideXlab platform.
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Soil mineralogy and Slope effects on infiltration, interrill erosion, and Slope Factor
Water Resources Research, 2004Co-Authors: M. Ben-hur, I. I. C. WakindikiAbstract:[1] Interactions between the effects of soil mineralogy and of Slope gradient on seal formation, infiltration rate (IR), runoff, and soil loss were evaluated, and the Slope Factor (Sf) functions for various soils with differing mineralogy were examined. Three different soils, on Slopes of 9, 15, 20, and 25%, were subjected to 80 mm of simulated rainfall. The final IR was ≥20.5 mm h−1 in a clayey kaolinitic soil and ≤15 mm h−1 in smectitic soils. The total runoff, as a percentage of rainfall, ranged from 24 to 18%, 65 to 43%, and 50 to 35% from the kaolinitic, clayey smectitic, and sandy loam smectitic soils, respectively. The total soil loss ranged from 0.32 to 0.45 and from 1.14 to 3.93 kg m−2 for the kaolinitic and smectitic soils, respectively. In all three soils, increasing the Slope gradient increased the detachment of coarse particles (>0.1 mm) more sharply than that of small particles (
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soil mineralogy and Slope effects on infiltration interrill erosion and Slope Factor
Water Resources Research, 2004Co-Authors: M Benhur, I. I. C. WakindikiAbstract:[1] Interactions between the effects of soil mineralogy and of Slope gradient on seal formation, infiltration rate (IR), runoff, and soil loss were evaluated, and the Slope Factor (Sf) functions for various soils with differing mineralogy were examined. Three different soils, on Slopes of 9, 15, 20, and 25%, were subjected to 80 mm of simulated rainfall. The final IR was ≥20.5 mm h−1 in a clayey kaolinitic soil and ≤15 mm h−1 in smectitic soils. The total runoff, as a percentage of rainfall, ranged from 24 to 18%, 65 to 43%, and 50 to 35% from the kaolinitic, clayey smectitic, and sandy loam smectitic soils, respectively. The total soil loss ranged from 0.32 to 0.45 and from 1.14 to 3.93 kg m−2 for the kaolinitic and smectitic soils, respectively. In all three soils, increasing the Slope gradient increased the detachment of coarse particles (>0.1 mm) more sharply than that of small particles (<0.1 mm), especially in the smectitic soils. Combining these results with previous findings for six soils indicated that soils could be divided into two groups according to their Sf values: (1) soils that contained smectite and were therefore dispersive and (2) soils that did not contain smectite and were therefore stable. For the former soils the regression Sf = 0.47exp(7.7 sin ) defined the Sf values significantly, whereas for the latter group a linear regression Sf = 0.81 + 1.77 (sin ) was required. It was suggested that the difference in the Sf functions was mainly due to seal formation enhancement by the smectite.
M Benhur - One of the best experts on this subject based on the ideXlab platform.
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soil mineralogy and Slope effects on infiltration interrill erosion and Slope Factor
Water Resources Research, 2004Co-Authors: M Benhur, I. I. C. WakindikiAbstract:[1] Interactions between the effects of soil mineralogy and of Slope gradient on seal formation, infiltration rate (IR), runoff, and soil loss were evaluated, and the Slope Factor (Sf) functions for various soils with differing mineralogy were examined. Three different soils, on Slopes of 9, 15, 20, and 25%, were subjected to 80 mm of simulated rainfall. The final IR was ≥20.5 mm h−1 in a clayey kaolinitic soil and ≤15 mm h−1 in smectitic soils. The total runoff, as a percentage of rainfall, ranged from 24 to 18%, 65 to 43%, and 50 to 35% from the kaolinitic, clayey smectitic, and sandy loam smectitic soils, respectively. The total soil loss ranged from 0.32 to 0.45 and from 1.14 to 3.93 kg m−2 for the kaolinitic and smectitic soils, respectively. In all three soils, increasing the Slope gradient increased the detachment of coarse particles (>0.1 mm) more sharply than that of small particles (<0.1 mm), especially in the smectitic soils. Combining these results with previous findings for six soils indicated that soils could be divided into two groups according to their Sf values: (1) soils that contained smectite and were therefore dispersive and (2) soils that did not contain smectite and were therefore stable. For the former soils the regression Sf = 0.47exp(7.7 sin ) defined the Sf values significantly, whereas for the latter group a linear regression Sf = 0.81 + 1.77 (sin ) was required. It was suggested that the difference in the Sf functions was mainly due to seal formation enhancement by the smectite.
L Neufang - One of the best experts on this subject based on the ideXlab platform.
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combining a modified universal soil loss equation with a digital terrain model for computing high resolution maps of soil loss resulting from rain wash
Catena, 1990Co-Authors: Werner Flacke, K Auerswald, L NeufangAbstract:Summary Soil loss must be predicted with high resolution for landscape planning in areas of complex toporaphy. In the first part of this paper the length-Slope Factor LS is differentiated for an application on complex Slope geometries, with specific consideration given to catchment convergence and divergence. The result is a differentiated Universal Soil Loss Equation: dUSLE. The second part describes its computational implementation on a surface model, which has the structure of a triangulated irregular network (TIN). The third part shows an example of how this method can be combined with the functions of a geographical information system. This leads to an application of the differentiated USLE, which produces high resolution maps of soil loss by rain fall, if the values of the R-, C-, K- and P-Factors are given.
M. M. Elrabiehi - One of the best experts on this subject based on the ideXlab platform.
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RETRACTED: Bromhexine-Selective PVC Membrane Electrode Based on Bromhexinium Tetraphenylborate
Microchemical Journal, 1999Co-Authors: S. Khalil, M. M. ElrabiehiAbstract:A bromhexine ion-selective PVC membrane electrode based on bromhexinium tetraphenylborate has been prepared with dioctyl phthalate as plasticizer. The electrode showed a linear response with a Slope Factor of 57.5 mV/concentration decade at 20°C over the concentration range from 4 x 10 -4 to 10 -1 M bromhexine. The effects of membrane composition, pH of the test solution, and the time of soaking on the electrode performance were studied. The electrode exhibited good selectivity for bromhexine with respect to a large number of inorganic cations and organic substances of biological importance. The standard addition method and potentiometric titrations were used to determine bromhexine concentrations in pure solutions and in a pharmaceutical preparation, with satisFactory results.
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Bromhexine-Selective PVC Membrane Electrode Based on Bromhexinium
1998Co-Authors: S. Khalil, M. M. ElrabiehiAbstract:A bromhexine ion-selective PVC membrane electrode based on bromhexinium tetraphenylborate has been prepared with dioctyl phthalate as plasticizer. The electrode showed a linear response with a Slope Factor of 57.5 mV/concentration decade at 20°C over the concentration range from 4 3 1024 to 1021 M bromhexine. The effects of membrane composition, pH of the test solution, and the time of soaking on the electrode performance were studied. The electrode exhibited good selectivity for bromhexine with respect to a large number of inorganic cations and organic substances of biological importance. The standard addition method and potentiometric titrations were used to determine bromhexine concentrations in pure solutions and in a pharmaceutical preparation, with satisFactory results. © 1999 Academic Press Key Words: bromhexine-selective electrode; response characteristics; selectivity coefficients
Werner Flacke - One of the best experts on this subject based on the ideXlab platform.
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combining a modified universal soil loss equation with a digital terrain model for computing high resolution maps of soil loss resulting from rain wash
Catena, 1990Co-Authors: Werner Flacke, K Auerswald, L NeufangAbstract:Summary Soil loss must be predicted with high resolution for landscape planning in areas of complex toporaphy. In the first part of this paper the length-Slope Factor LS is differentiated for an application on complex Slope geometries, with specific consideration given to catchment convergence and divergence. The result is a differentiated Universal Soil Loss Equation: dUSLE. The second part describes its computational implementation on a surface model, which has the structure of a triangulated irregular network (TIN). The third part shows an example of how this method can be combined with the functions of a geographical information system. This leads to an application of the differentiated USLE, which produces high resolution maps of soil loss by rain fall, if the values of the R-, C-, K- and P-Factors are given.
