Full TGIF Record # 132926
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DOI:10.2136/sssaj2006.0232
Web URL(s):https://acsess.onlinelibrary.wiley.com/doi/10.2136/sssaj2006.0232
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Publication Type:
i
Refereed
Author(s):Arya, Lalit M.; Bowman, Daniel C.; Thapa, Bir B.; Cassel, D. Keith
Author Affiliation:Bowman and Thapa: Crop Science Department; Cassel: Soil Science Department, North Carolina State University, Raleigh, North Carolina
Title:Scaling soil water characteristics of golf course and athletic field sands from particle-size distribution
Section:Soil physics
Other records with the "Soil physics" Section
Source:Soil Science Society of America Journal. Vol. 72, No. 1, January/February 2008, p. 25-32.
Publishing Information:Madison, WI: Soil Science Society of America
# of Pages:8
Keywords:TIC Keywords: Soil water relations; Sand particle size; Hydraulic properties; Physical properties of soil; Golf courses; Athletic fields
Abstract/Contents:"The soil water characteristic (SWC) of sands is an important hydraulic parameter in designing golf courses and athletic fields. A modified version of the AryaParis model of the soil water characteristic was adapted to 14 golf course media that contained no to minor amounts of clay and silt. In this model, the particle-size distribution curve is divided into a number of fractions and the natural pore length, Li(n), is scaled using the diameter of spherical particles as the length unit. The scaled pore length is given by 2Riniαi, where ni is the number of spherical particles in the ith fraction, 2Ri is the particle diameter, and αi is the scaling parameter, which is calculated using the relationship logniαi= a + blogni. Although the model adapted well, there were concerns about the sensitivity of predicted SWCs to uncertainties in parameters a and b. Consequently, we developed and evaluated a procedure to predict Li(n) directly from straight pore lengths, Li(c) in counterpart cubic close-packed assemblages of spherical particles, using the relationship logLi(n) = c + dlogLi(c). Predicted pressure heads using both procedures were similar with best-fit parameters. When uncertainties were imposed on Parameters a, b and c, d, however, SWCs using the latter procedure showed far less sensitivity, as measured by the root mean square residuals (RMSRs). In addition, for sand materials grouped together on the basis of similarity in particle-size distribution and bulk density, replacing individual best-fit parameters by the group mean parameters did not have significant effects on predicted pressure heads."
Language:English
References:24
Note:Figures
Tables
Graphs
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Arya, L. M., D. C. Bowman, B. B. Thapa, and D. K. Cassel. 2008. Scaling soil water characteristics of golf course and athletic field sands from particle-size distribution. Soil Sci. Soc. Am. J. 72(1):p. 25-32.
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DOI: 10.2136/sssaj2006.0232
Web URL(s):
https://acsess.onlinelibrary.wiley.com/doi/10.2136/sssaj2006.0232
    Last checked: 02/28/2024
    Access conditions: Item is within a limited-access website
https://acsess.onlinelibrary.wiley.com/doi/epdf/10.2136/sssaj2006.0232
    Last checked: 02/28/2024
    Requires: PDF Reader
    Access conditions: Item is within a limited-access website
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