NOTE: This item is not available outside the Texas A&M University network. Texas A&M affiliated users who are off campus can access the item through NetID and password authentication or by using TAMU VPN. Non-affiliated individuals should request a copy through their local library's interlibrary loan service.
Estimating the three-parameter Kostiakov infiltration function in furrow irrigation from advance data
dc.contributor.advisor | Reddell, Donald L. | |
dc.creator | Latortue, Harold Flortentino | |
dc.date.accessioned | 2020-09-02T21:00:48Z | |
dc.date.available | 2020-09-02T21:00:48Z | |
dc.date.issued | 1986 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/DISSERTATIONS-24180 | |
dc.description | Typescript (photocopy). | en |
dc.description.abstract | A three-parameter model was developed to evaluate the parameters (K, a, and F) in the extended Kostiakov infiltration equation when continuous flow irrigation is practiced. The model also permits the evaluation of the average cross sectional area (C) of water stored on the soil surface during irrigation and an evaluation of the infiltrated profile shape factor (B). The model predicts K, a, F, C, and B using only measured advance and recession data. The model was verified and its sensitivity tested by comparing results from the three-parameter model with results obtained from a kinematic wave numerical model. Excellent agreement was obtained over a range of soil types, surface roughnesses, field slopes, and furrow flow rates. The three-parameter model was also tested using several sets of field data for furrow irrigation at Flowell (Utah) and Kimberly (Idaho). The infiltration functions obtained using the three-parameter model were compared to the infiltration functions obtained using the recycling furrow infiltrometer method. The three-parameter model and the recycling furrow infiltrometer estimated similar infiltration functions for the furrows studied. The effects of the method chosen to estimate the infiltration function of a soil (recycling furrow infiltrometer, Latortue's (1984) continuous flow two-parameter model, and the three-parameter model) on the simulation of irrigation events were investigated. Results showed no significant effect on the simulation of the advance phase and the simulation of the volume of water infiltrated at any point of the furrow. However, the method chosen to estimate the infiltration function may significantly affect the estimate of the runoff volume. This is due to the fact that the simulated runoff volumes are calculated by integrating the volume of water infiltrated at a point over the length of the furrow. Thus, the longer the furrow, the greater the variation in the simulated runoff. | en |
dc.format.extent | xiii, 147 leaves | en |
dc.format.medium | electronic | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
dc.subject | Agricultural Engineering | en |
dc.subject | Infiltrometer | en |
dc.subject | Soil absorption and adsorption | en |
dc.subject.lcsh | Furrow irrigation | en |
dc.subject.lcsh | Mathematical models | en |
dc.subject.lcsh | Infiltrometer | en |
dc.subject.lcsh | Soil absorption and adsorption | en |
dc.title | Estimating the three-parameter Kostiakov infiltration function in furrow irrigation from advance data | en |
dc.type | Thesis | en |
thesis.degree.grantor | Texas A&M University | en |
thesis.degree.name | Doctor of Philosophy | en |
thesis.degree.name | Ph. D | en |
dc.contributor.committeeMember | Dunlap, Wayne A. | |
dc.contributor.committeeMember | James, Wesley P. | |
dc.contributor.committeeMember | McFarland, Marshall J. | |
dc.type.genre | dissertations | en |
dc.type.material | text | en |
dc.format.digitalOrigin | reformatted digital | en |
dc.publisher.digital | Texas A&M University. Libraries | |
dc.identifier.oclc | 18077332 |
Files in this item
This item appears in the following Collection(s)
-
Digitized Theses and Dissertations (1922–2004)
Texas A&M University Theses and Dissertations (1922–2004)
Request Open Access
This item and its contents are restricted. If this is your thesis or dissertation, you can make it open-access. This will allow all visitors to view the contents of the thesis.