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A Statistical Exploration of the Relationships of Soil Moisture Characteristics to the Physical Properties of Soils
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Citations
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References
1984
Year
EngineeringStatistical ExplorationEarth SciencePhysical PropertiesGeotechnical EngineeringSoil PropertySoil PropertiesHydraulic PropertyHydrogeologySoil Physical QualitySoil PhysicSoil Moisture CharacteristicsHydrologySoil Water FluxesStochastic ModelingWater ResourcesSoil ModelingCivil EngineeringHydraulic Parameters
Stochastic modeling of soil water fluxes without measured hydraulic parameters requires knowledge of expected hydraulic parameter distributions across soil types. The study aims to develop predictive relationships between hydraulic parameter distributions and common soil physical descriptors, and to identify covariation among these parameters. Using 1,448 soil samples, the authors applied ANOVA and multiple linear regression to derive quantitative expressions for hydraulic parameter moments as functions of particle size distribution (percent sand, silt, clay). Discriminant analysis indicates that hydraulic parameter covariation can be used to construct a classification scheme analogous to the traditional sand–silt–clay textural classification.
Stochastic modeling of soil water fluxes in the absence of measured hydraulic parameters requires a knowledge of the expected distribution of the hydraulic parameters in different soil types. Predictive relationships describing the hydraulic parameter distributions must be developed based on the common descriptors of the physical properties of soils (e.g., texture, structure, particle size distribution). Covariation among the hydraulic parameters within these relationships must be identified. Data for 1448 soil samples were examined in an evaluation of the usefulness of qualitative descriptors as predictors of soil hydraulic behavior. Analysis of variance and multiple linear regression techniques were used to derive quantitative expressions for the moments of the hydraulic parameters as functions of the particle size distributions (percent sand, silt, and clay content) of soils. Discriminant analysis suggests that the covariation of the hydraulic parameters can be used to construct a classification scheme based on the hydraulic behavior of soils that is analogous to the textural classification scheme based on the sand, silt, and clay content of soils.
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