Spelling suggestions: "subject:"soil -- moisture"" "subject:"soil -- amoisture""
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Soil-moisture characteristics of Hong Kong soils in the low suction range /Liu, Chee-chuen. January 1981 (has links)
Thesis (M. Phil.)--University of Hong Kong, 1981.
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Calibration of the soil moisture accounting model using the adaptive random search algorithmWeinig, Walter Theodore, January 1991 (has links) (PDF)
Thesis (M.S. - Hydrology and Water Resources)--University of Arizona. / Includes bibliographical references (leaves 96-99).
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Estimation of soil moisture in the southern united states in 2003 using multi-satellite remote sensing measurementsSoriano, Melissa. January 2008 (has links)
Thesis (M.S.)--George Mason University, 2008. / Vita: p. 65. Thesis director: John Qu. Submitted in partial fulfillment of the requirements for the degree of Master of Science in Earth System Science. Title from PDF t.p. (viewed Jan. 11, 2009). Includes bibliographical references (p. 59-64). Also issued in print.
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Modeling and application of soil moisture at varying spatial scales with parameter scalingDas, Narendra Narayan 15 May 2009 (has links)
The dissertation focuses on characterization of subpixel variability within a
satellite-based remotely sensed coarse-scale soil moisture footprint. The underlying
heterogeneity of coarse-scale soil moisture footprint is masked by the area-integrated
properties within the sensor footprint. Therefore, the soil moisture values derived from
these measurements are an area average. The variability in soil moisture within the
footprint is introduced by inherent spatial variability present in rainfall, and geophysical
parameters (vegetation, topography, and soil). The geophysical parameters/variables
typically interact in a complex fashion to make soil moisture evolution and dependent
processes highly variable, and also, introduce nonlinearity across spatio-temporal scales.
To study the variability and scaling characteristics of soil moisture, a quasi-distributed
Soil-Vegetation-Atmosphere-Transfer (SVAT) modeling framework is developed to
simulate the hydrological dynamics, i.e., the fluxes and the state variables within the
satellite-based soil moisture footprint. The modeling framework is successfully tested
and implemented in different hydroclimatic regions during the research. New multiscale data assimilation and Markov Chain Monte Carlo (MCMC) techniques in conjunction
with the SVAT modeling framework are developed to quantify subpixel variability and
assess multiscale soil moisture fields within the coarse-scale satellite footprint.
Reasonable results demonstrate the potential to use these techniques to validate
multiscale soil moisture data from future satellite mission e.g., Soil Moisture Active
Passive (SMAP) mission of NASA. The results also highlight the physical controls of
geophysical parameters on the soil moisture fields for various hydroclimatic regions.
New algorithm that uses SVAT modeling framework is also proposed and its
application demonstrated, to derive the stochastic soil hydraulic properties (i.e., saturated
hydraulic conductivity) and surface features (i.e., surface roughness and volume
scattering) related to radar remote sensing of soil moisture.
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Measurement of the surface forces in soilsShull, Charles Albert. January 1916 (has links)
Dissertation : Botany : Chicago : 1916. / "Bibliographie": p. 29-31.
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Water retention in clay soils by capillary and swelling forces.Chang, Ren-Kong. January 1966 (has links)
Water in clay soils is considered to be held by capillary and swelling forces. Both forces are operative but the importance of each force depends upon the water content. This relationship was assessed from water retention, swelling pressure, and volume change studies using samples of different aggregate sizes compacted to different porosities. [...]
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Evaporation from soil in early spring as determined by surface conditions.Iqbal, Muhammad Mohsin. January 1970 (has links)
No description available.
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Movement of water and salts in relation to cracking in a vertisol in Jamaica.Ramdial, Leonard. January 1970 (has links)
No description available.
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Estimating infiltration parameters from remotely sensed vegetative cover and measured soil properties.Freitas, Robert Joseph, January 1991 (has links) (PDF)
Thesis (M. S. - Renewable Natural Resources)--University of Arizona, 1991. / Includes bibliographical references (leaves 155-161).
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Bound water in soils as affected by chemical and mechanical treatmentsRosenblum, Mordecai Sterling, January 1939 (has links) (PDF)
Thesis (M.S.)--University of Arizona. / Typewritten manuscript. Bibliography: leaves 64-68.
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