The Experts below are selected from a list of 6843 Experts worldwide ranked by ideXlab platform
Feinan Hu - One of the best experts on this subject based on the ideXlab platform.
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quantifying contributions of Slaking and mechanical breakdown of soil aggregates to splash erosion for different soils from the loess plateau of china
Soil & Tillage Research, 2018Co-Authors: Hai Xiao, Qiong Zhang, Zheng Fenli, X C Zhang, Jiaqiong Zhang, Feinan HuAbstract:Abstract The information of aggregate disintegration mechanisms during splash erosion is scant. This study was conducted to quantify contributions of the mechanisms of aggregate disintegration to splash erosion. Six soils with five soil textures were used. Soil aggregate stability was determined by the Le Bissonnais (LB) method. Deionized water was used to simulate the combined effect of Slaking and mechanical disaggregation, while ethanol was used to estimate the sole contribution of the mechanical breakdown. Simulated rainfall with intensity of 60 mm h−1 was applied at five fall heights (0.5 m, 1 m, 1.5 m, 2 m and 2.5 m) to achieve different levels of rainfall kinetic energy. The results indicated that Slaking caused the most severe aggregate breakdown, and followed by mechanical breakdown, while chemical dispersion in slow wetting with deionized water was the weakest breakdown mechanism. The splash erosion rates due to the effects of Slaking and mechanical breakdown increased with an increase in rainfall kinetic energy. The contributions of the Slaking (mechanical breakdown) to splash erosion decreased (increased) as rainfall kinetic energy increased. The contribution of mechanical breakdown had a power function relation with rainfall kinetic energy, and had the most significant correlation with RSI (relative Slaking index)/RMI (relative mechanical breakdown index). A power and a linear function could be used to describe the relationships between the contributions of mechanical breakdown with rainfall kinetic energy and RSI/RMI, respectively, which could be used to estimate the contribution of mechanical breakdown. The results of this research would be helpful to improving the soil erosion prediction models.
Hai Xiao - One of the best experts on this subject based on the ideXlab platform.
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quantifying contributions of Slaking and mechanical breakdown of soil aggregates to splash erosion for different soils from the loess plateau of china
Soil & Tillage Research, 2018Co-Authors: Hai Xiao, Qiong Zhang, Zheng Fenli, X C Zhang, Jiaqiong Zhang, Feinan HuAbstract:Abstract The information of aggregate disintegration mechanisms during splash erosion is scant. This study was conducted to quantify contributions of the mechanisms of aggregate disintegration to splash erosion. Six soils with five soil textures were used. Soil aggregate stability was determined by the Le Bissonnais (LB) method. Deionized water was used to simulate the combined effect of Slaking and mechanical disaggregation, while ethanol was used to estimate the sole contribution of the mechanical breakdown. Simulated rainfall with intensity of 60 mm h−1 was applied at five fall heights (0.5 m, 1 m, 1.5 m, 2 m and 2.5 m) to achieve different levels of rainfall kinetic energy. The results indicated that Slaking caused the most severe aggregate breakdown, and followed by mechanical breakdown, while chemical dispersion in slow wetting with deionized water was the weakest breakdown mechanism. The splash erosion rates due to the effects of Slaking and mechanical breakdown increased with an increase in rainfall kinetic energy. The contributions of the Slaking (mechanical breakdown) to splash erosion decreased (increased) as rainfall kinetic energy increased. The contribution of mechanical breakdown had a power function relation with rainfall kinetic energy, and had the most significant correlation with RSI (relative Slaking index)/RMI (relative mechanical breakdown index). A power and a linear function could be used to describe the relationships between the contributions of mechanical breakdown with rainfall kinetic energy and RSI/RMI, respectively, which could be used to estimate the contribution of mechanical breakdown. The results of this research would be helpful to improving the soil erosion prediction models.
Zheng Fenli - One of the best experts on this subject based on the ideXlab platform.
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quantifying contributions of Slaking and mechanical breakdown of soil aggregates to splash erosion for different soils from the loess plateau of china
Soil & Tillage Research, 2018Co-Authors: Hai Xiao, Qiong Zhang, Zheng Fenli, X C Zhang, Jiaqiong Zhang, Feinan HuAbstract:Abstract The information of aggregate disintegration mechanisms during splash erosion is scant. This study was conducted to quantify contributions of the mechanisms of aggregate disintegration to splash erosion. Six soils with five soil textures were used. Soil aggregate stability was determined by the Le Bissonnais (LB) method. Deionized water was used to simulate the combined effect of Slaking and mechanical disaggregation, while ethanol was used to estimate the sole contribution of the mechanical breakdown. Simulated rainfall with intensity of 60 mm h−1 was applied at five fall heights (0.5 m, 1 m, 1.5 m, 2 m and 2.5 m) to achieve different levels of rainfall kinetic energy. The results indicated that Slaking caused the most severe aggregate breakdown, and followed by mechanical breakdown, while chemical dispersion in slow wetting with deionized water was the weakest breakdown mechanism. The splash erosion rates due to the effects of Slaking and mechanical breakdown increased with an increase in rainfall kinetic energy. The contributions of the Slaking (mechanical breakdown) to splash erosion decreased (increased) as rainfall kinetic energy increased. The contribution of mechanical breakdown had a power function relation with rainfall kinetic energy, and had the most significant correlation with RSI (relative Slaking index)/RMI (relative mechanical breakdown index). A power and a linear function could be used to describe the relationships between the contributions of mechanical breakdown with rainfall kinetic energy and RSI/RMI, respectively, which could be used to estimate the contribution of mechanical breakdown. The results of this research would be helpful to improving the soil erosion prediction models.
Jiaqiong Zhang - One of the best experts on this subject based on the ideXlab platform.
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quantifying contributions of Slaking and mechanical breakdown of soil aggregates to splash erosion for different soils from the loess plateau of china
Soil & Tillage Research, 2018Co-Authors: Hai Xiao, Qiong Zhang, Zheng Fenli, X C Zhang, Jiaqiong Zhang, Feinan HuAbstract:Abstract The information of aggregate disintegration mechanisms during splash erosion is scant. This study was conducted to quantify contributions of the mechanisms of aggregate disintegration to splash erosion. Six soils with five soil textures were used. Soil aggregate stability was determined by the Le Bissonnais (LB) method. Deionized water was used to simulate the combined effect of Slaking and mechanical disaggregation, while ethanol was used to estimate the sole contribution of the mechanical breakdown. Simulated rainfall with intensity of 60 mm h−1 was applied at five fall heights (0.5 m, 1 m, 1.5 m, 2 m and 2.5 m) to achieve different levels of rainfall kinetic energy. The results indicated that Slaking caused the most severe aggregate breakdown, and followed by mechanical breakdown, while chemical dispersion in slow wetting with deionized water was the weakest breakdown mechanism. The splash erosion rates due to the effects of Slaking and mechanical breakdown increased with an increase in rainfall kinetic energy. The contributions of the Slaking (mechanical breakdown) to splash erosion decreased (increased) as rainfall kinetic energy increased. The contribution of mechanical breakdown had a power function relation with rainfall kinetic energy, and had the most significant correlation with RSI (relative Slaking index)/RMI (relative mechanical breakdown index). A power and a linear function could be used to describe the relationships between the contributions of mechanical breakdown with rainfall kinetic energy and RSI/RMI, respectively, which could be used to estimate the contribution of mechanical breakdown. The results of this research would be helpful to improving the soil erosion prediction models.
M. Torabi-kaveh - One of the best experts on this subject based on the ideXlab platform.
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Assessing the Behavior of Clay-Bearing Rocks Using Static and Dynamic Slaking Indices
Geotechnical and Geological Engineering, 2015Co-Authors: M. Heidari, B. Rafiei, Y. Mohebbi, M. Torabi-kavehAbstract:Clay-bearing rocks are characterized by a wide variation in engineering properties and their resistance to short term weathering due to wetting and drying phenomenon. In this study, a research study was performed on different clay-bearing rocks selected from the Ilam and the Tajarak regions (Iran) to assess suitability of the static and dynamic standard Slaking tests. Also in this paper, in order to estimate durability of the clay-bearing rocks, some physical–chemical properties were used in form of multiple linear regression analyses in relation to the static and dynamic Slaking indices. The test results from the static and dynamic standard Slaking tests showed that the materials retained in the 2 mm mesh drum consists of disintegrated particles varying in diameter from 2 to 25.4 mm. To achieve a more realistic evaluation of the disintegration properties of rock samples after each wetting–drying cycle, a sieve analysis approach is therefore more appropriate. Comparison of the multiple linear regressions between the Slaking indices and physical–chemical properties showed that the disintegration ratio could characterize the durability behavior of the rock samples in both the static and dynamic states. Also, the results indicated that the static Slaking index (I_s) was more acceptable for predicting the behavior of clay-bearing rocks than the dynamic durability index (I_d).
