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AI InsightStepwise multiple regression analysis indicated that clay content with ESP was a good predictor of dry-aggregate stability and accounted for 0.90 to 0.96 % of the variability in the dry-aggregate stability of the soils studied.
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Özet
The objective of this study was to determine the influence of selected soil properties on the relative strength of individual oil aggregates against crushing forces. Soil aggregates were crushed between a flat surface and a flat plate connected to a pocket penetrometer. Significant relationships were found between dry-aggregate stability and the clay content, sand content, CEC and ESP of the soils studied. There was also a significant positive correlation between dry-aggregate stability and wet-aggregate stability (r=0.94**). No significant relationships were found between dry-aggregate stability and silt content, organic matter content, CaCO 3 content or pH. Stepwise multiple regression analysis indicated that clay content with ESP was a good predictor of dry-aggregate stability and accounted for 0.90 to 0.96 % of the variability in the dry-aggregate stability of the soils studied.
Abstract
The objective of this study was to determine the influence of selected soil properties on the relative strength of individual oil aggregates against crushing forces. Soil aggregates were crushed between a flat surface and a flat plate connected to a pocket penetrometer. Significant relationships were found between dry-aggregate stability and the clay content, sand content, CEC and ESP of the soils studied. There was also a significant positive correlation between dry-aggregate stability and wet-aggregate stability (r=0.94**). No significant relationships were found between dry-aggregate stability and silt content, organic matter content, CaCO 3 content or pH. Stepwise multiple regression analysis indicated that clay content with ESP was a good predictor of dry-aggregate stability and accounted for 0.90 to 0.96 % of the variability in the dry-aggregate stability of the soils studied.