Comparative analysis of field-saturated soil hydraulic conductivity (K?s) estimates from five pedotransfer models

Date

6-2016

Degree

Bachelor of Science in Agricultural and Biosystems Engineering

Major Course

Major in Land & Water Resources Engineering

College

College of Engineering and Agro-Industrial Technology (CEAT)

Adviser/Committee Chair

Maurice A. Duka

Restrictions

Restricted: Not available to the general public. Access is available only after consultation with author/thesis adviser and only to those bound by the confidentiality agreement.

Abstract

The performance and applicability of five pedotransfer models used in estimating field-saturated soil hydraulic conductivity (Kfs) were compared and evaluated for soils with different textural classes: silt loam, sandy loam, clay loam and silty clay loam. These models include Wu, Bargello, Nimmo, Simplified Falling Head and Beerkan Estimates of Soil Transfer parameters (BEST) model. Results highlighted that the differences among the Kfs estimates given by each model are mainly attributed to four inherent factors: (1) the Kfs calculation method, the parameters used, and the governing theories and principles involved in predicitng Kfs of soils, (2) the effect of α* and λ parameters in the estimates obtained, (3) the effect of soil heterogeneity in the variability of Kfs estimates and (4) the effect of experimental procedures and the duration of the experiment in the estimation of Kfs. Each model, however, was able to provide reasonable, sound and promising Kfs estimates. This suggests that one model cannot be used to overthrow another and that various soil physical and field conditions need to be throughly examined along with the application of these models.

Language

English

Location

UPLB College of Engineering and Agro-Industrial Technology (CEAT)

Call Number

LG 993.5 2016 A2 /S23

Document Type

Thesis

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