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RECORD NUMBER: 21 OF 44

OLS Field Name OLS Field Data
Main Title Prediction of subsoil erodibility using chemical, mineralogical and physical parameters /
Author Roth, Charles B.
Other Authors
Author Title of a Work
Nelson, D. W.
Rèomkens, M. J. M.
R omkens, Mathias J. M.
CORP Author United States. Environmental Protection Agency. Office of Research and Development.
Publisher For sale by the Supt. of Docs., U.S. Govt. Print. Off.,
Year Published 1974
Report Number EPA-660/2-74-043; 5460; EPA-15030-HIX; EPA-ROAP-EPMP-03
Stock Number PB-239 442
OCLC Number 01185390
Subjects Soil erosion. ; Soils--Analysis. ; Soils--Testing.
Additional Subjects Soil erosion ; Soils--Analysis ; Soils--Testing ; Subsoil ; Soil structure ; Soil analysis ; Soil properties ; Soil texture ; Cultivation ; Rainfall ; Particle size ; Iron inorganic compounds ; Nomographs ; Regression analysis ; Clay soils ; Silts ; Loams ; Field tests
Internet Access
Description Access URL
http://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=9100TL4K.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EJAD  EPA 660/2-74-043 Region 3 Library/Philadelphia, PA 07/05/1996
EJBD ARCHIVE EPA 660/2-74-043 Headquarters Library/Washington,DC 01/07/2015
EJBD  EPA 660/2-74-043 Headquarters Library/Washington,DC 03/03/2006
EKAM  S593.R68 Region 4 Library/Atlanta,GA 03/14/1997
ELBD  EPA 660-2-74-043 AWBERC Library/Cincinnati,OH 01/02/1998
ERAD  EPA 660/2-74-043 Region 9 Library/San Francisco,CA 03/18/2013
NTIS  PB-239 442 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 01/01/1988
Collation xi, 111 pages : illustrations, charts ; 27 cm.
Abstract
A multiple linear regression equation and nomograph were developed which can be used to estimate the erodibility factor, K, of many high clay subsoils. The subsoil erodibility nomograph uses terms involving soil particle size distribution and the amount of amorphous hydrous oxides or iron, aluminum, and silicon in the soil. Multiple regression analysis revealed that amorphous iron, aluminum and silicon hydrous oxides serve as soil stabilizers in subsoils, whereas, organic matter is the major stabilizer in surface soils. Evidence is presented to show that soil erodibility from semi-compacted fill and scalped subsoil surface conditions were essentially identical. It is reported that the scalped condition is the best standard soil surface to base the calculation of the erodibility factor for subsoils.
Notes
"Project no. 15030 HIX; Program element 1BB042; Roap/Task PEMP 03." Includes bibliographical references (pages 80-81), and appendices.
Contents Notes
Conclusions -- Recommendations -- Introduction -- Field experiments -- Laboratory characterization of reference soils for physical, chemical, and mineralogical properties -- Statistical analysis of data obtained in field and laboratory experiments -- A nomograph for estimating the erodibility factor, K, of high clay subsoils. This report presents evidence that the surface soil erodibility prediction nomograph (Wischmeier et al., 1971) which uses terms involving soil particle size, organic matter, structure and permeability, could not be improved upon by consideration of other mineralogical and chemical parameters. However, the surface soil erodibility nomograph did not adequately predict the soil erodibility factor, K, of high clay subsoils studied in the field under simulated rainfall conditions as a part of this project. A multiple linear regression equation and nomograph were developed which can be used to estimate the erodibility factor, K, of many high clay subsoils. The subsoil erodibility nomograph uses terms involving soil particle size distribution and the amount of amorphous hydrous oxides of iron, aluminum, and silicon in the soil. Multiple regression analysis revealed that amorphous iron, aluminum, and silicon hydrous oxides serve as soil stabilizers in subsoils, whereas organic matter is the major stabilizer in surface soils. Evidence is presented to show that soil erodibility from semi-compacted fill and scalped subsoil surface conditions were essentially identical. It is reported that the scalped condition is the best standard soil surface to base the calculation of the erodibility factor for subsoils. It is suggested that a soil-management factor should replace the cropping-management factor in the Universal Soil-Loss Equation when the Equation is used to predict subsoil erosion.