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    Experimental evaluation of infiltration using Holtan, Philip, and Mein and Larson equations

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    Author
    Ortiz-Reyes, Teodoro.
    Issue Date
    1979
    Keywords
    Hydrology.
    Soil absorption and adsorption -- Mathematical models.
    Runoff -- Mathematical models.
    Committee Chair
    Fogel, Martin M.
    
    Metadata
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    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    Infiltration from constant rainfall intensity as predicted by the Philip, Holtan, and Mein and Larson models was compared to observed infiltration. Also, the effects of rainfall intensity and slope steepness on infiltration, for the conditions studied here, were investigated. The study was conducted at Atterbury Experimental Watershed on three small plots with slopes of 1 to 5 percent. The infiltration runs were made using a rainfall simulator. Three rainfall intensities were used (4.23, 8.07, 12.2 cm/hr). The parameters a and n involved in the Holtan equation were determined by regression analysis. In the Philip equation the value for the parameter k was set equal to the saturated hydraulic conductivity of the soils studied. The sorptivity term (s) was determined using nonlinear regression analysis. The parameters for the Mein and Larson model were determined using laboratory analysis. Using the parameters estimated in the above form, Holtan equation was the one that best reproduced the observed infiltration. No influence of slope on final infiltration rate was found. Rainfall intensity together with moisture content was found to have influence over the time to attain the final infiltration rate.
    Type
    Thesis-Reproduction (electronic)
    text
    Degree Name
    M.S.
    Degree Level
    masters
    Degree Program
    Renewable Natural Resources
    Graduate College
    Degree Grantor
    University of Arizona
    Collections
    Master's Theses

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