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Predicting soil erosion using a physical model / Wipartono Tirtohadisurjo.

By:

Tirtohadisurjo, Wipartono [author]

Contributor(s):

Paningbatan, Eduardo P [adviser]

Material type: Text

TextLanguage: English Publication details: Los Baños, Laguna : 1985. Cavite State University- Main Campus,Description: 83 pages : illustrations ; 28 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

DDC classification:

631.45 T51 1985

Online resources:

Click here to view thesis abstract and table of contents

Abstract: TIRTOHADISURJO, WIPARTONO, University of the Philippines at Los Banos, September, 1985. Predicting Soil Erosion Using a Physical Model. Major Professor: Dr. Eduardo P. Paningbatan, Jr. An experiment was conducted using rainwater and soil trough to critically study the process of soil erosion and to validate the physical model of predicting soil erosion proposed by Rose, Sander and Barry (1983). The treatments involved two soil types, Luisiana clay _type (orthoxic Tropudult) and Lipa clay loam (typic Tropudalf), three levels of rainfall intensity (7.85, 10.95 and 12.95 em/hr), three) levels of slope steepness (3, 8 and 15 percent) and five levels of mulch cover (0, 25, 50, 75 and 100 percent, cover). surface water flux per unit strip width of plot (a); sediment concentration (Cc) and sediment flux per unit strip width of plot (qg) increased with rainfall intensity and slope We greatly decreased as the percentage cover of mulch increased. The sediment concentration that resulted from a given rainfall intensity and slope was higher in Lipa than in the Tuisiana soil series on bare soil surfaces of Lipa and Luisiana series, the efficiency of entrainment (n) increased with rainfall intensity and slope while it decreased exponentially as the percentage much cover increased. The physical model yielded good prediction estimates of sediment concentration. In both soils, predicted and observed sediment concentrations generated from different combinations. Bad rainfall intensity and mulch cover gave about 1:1 relationship with correlation coefficients (r) of not less than 0.98.

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Holdings ( 1 )
Title notes ( 4 )

Holdings
Item type	Current library	Collection	Call number	Materials specified	URL	Status	Notes	Date due	Barcode
Theses / Manuscripts	Ladislao N. Diwa Memorial Library Theses Section	Non-fiction	631.45 T51 1985 (Browse shelf(Opens below))		Link to resource	Room use only	T-1353		00002276

Thesis (M.S. - - Soil Science) University of the Philippines, College, Laguna.

Includes bibliographical references.

TIRTOHADISURJO, WIPARTONO, University of the Philippines at Los Banos, September, 1985. Predicting Soil Erosion Using a Physical Model. Major Professor: Dr. Eduardo P. Paningbatan, Jr.

An experiment was conducted using rainwater and soil trough to critically study the process of soil erosion and to validate the physical model of predicting soil erosion proposed by Rose, Sander and Barry (1983). The treatments involved two soil types, Luisiana clay _type (orthoxic Tropudult) and Lipa clay loam (typic Tropudalf), three levels of rainfall intensity (7.85, 10.95 and 12.95 em/hr), three) levels of slope steepness (3, 8 and 15 percent) and five levels of mulch cover (0, 25, 50, 75 and 100 percent, cover). surface water flux per unit strip width of plot (a); sediment concentration (Cc) and sediment flux per unit strip width of plot (qg) increased with rainfall intensity and slope

We greatly decreased as the percentage cover of mulch increased.

The sediment concentration that resulted from a given rainfall intensity and slope was higher in Lipa than in the Tuisiana soil series on bare soil surfaces of Lipa and Luisiana series, the efficiency of entrainment (n) increased with rainfall intensity and slope while it decreased exponentially as the percentage much cover increased.

The physical model yielded good prediction estimates of sediment concentration. In both soils, predicted and observed sediment concentrations generated from different combinations. Bad rainfall intensity and mulch cover gave about 1:1 relationship with correlation coefficients (r) of not less than 0.98.

Submitted to the University Library 01/07/1994 T-1353