Masters Theses


"The objectives of this research were to identify the major soil parameter(s) that affect the erosion rate of soil and to estimate the erosion rate based on those soil parameters. Both prepared samples and natural samples were used in this research. The soil properties analyzed were the water content, unit weight, Atterberg limits, and soil cohesion. The erosion rate was determined using a rectangular flume and a linear relation between the erosion rate and shear stress was established from the flume experiment. The slope of the linear relation was a good indicator of the soil's erosion rate. The erosion rate obtained for prepared soils were significantly affected by dry unit weight and percentage clay content. A decrease in dry unit weight caused higher erosion while an increase in the clay percentage caused higher resistance to erosion. The natural soils tested were Silty Loam and Sandy Loam. The linear relation obtained for these soils were statistically analyzed to predict the erosion rate. A set of multiple regression analyses was performed on each soil type to determine the slope and erosion rate axis intercept of the linear relation using the dry unit weight and the percentage clay as predictors. The set of regression equations obtained for each soil type can be used to estimate erosion rates incases where the dry unit weight and percentage clay content are known. Thus, the relationship derived from this research is conducive to effectively predicting the erosion rate of soil without performing the flume experiments"--Abstract, page iii.


Morris, Charles Darwin

Committee Member(s)

Cawlfield, Jeffrey D.
Mendoza, Cesar


Civil, Architectural and Environmental Engineering

Degree Name

M.S. in Civil Engineering


Metropolitan St. Louis Sewer District (Mo.)


University of Missouri--Rolla

Publication Date

Fall 2007


xii, 191 pages

Note about bibliography

Includes bibliographical references (pages 25-26).


© 2007 Preetha Veeraraghavan, All rights reserved.

Document Type

Thesis - Open Access

File Type




Subject Headings

Soil erosion -- Measurement
Soil erosion prediction
Soil mechanics -- Measurement

Thesis Number

T 9290

Print OCLC #


Electronic OCLC #