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| Web URL(s): | https://turf.rutgers.edu/research/abstracts/symposium2004.pdf#page=45
Last checked: 02/06/2017
Requires: PDF Reader
Notes: Item is within a single large file |
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| Publication Type:
| Report |
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| Content Type: | Abstract or Summary only |
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| Author(s): | Han, Han;
Giménez, Daniel;
Murphy, James A.;
Samaranayake, H.;
Lawson, T. J. |
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| Author Affiliation: | Han and Giménez: Department of Environmental Sciences, Rutgers University; Murphy, Samaranayake, and Lawson: Plant Biology and Pathology, Rutgers University |
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| Title: | Predicting saturated hydraulic conductivity by soil particle- and pore-size distributions |
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| Section: | Posters
Other records with the "Posters" Section
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| Meeting Info.: | Cook College, Rutgers, NJ: January 15-16, 2004 |
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| Source: | Proceedings of the Thirteenth Annual Rutgers TurfgrassSymposium. 2004, p. 44. |
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| Publishing Information: | New Brunswick, NJ: Center for Turfgrass Science, Cook College, Rutgers, The State University of New Jersey |
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| # of Pages: | 1 |
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| Keywords: | TIC Keywords: Models; Particle size; Pore size; Root zone mixture; Saturated hydraulic conductivity
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| Abstract/Contents: | "Saturated hydraulic conductivity, Ks, of root zone mixes is an essential parameter to predict infiltration, solute transport and other processes involved in the design and construction of golf courses putting greens. Due to the high variability in Ks measurements, it is desirable to have predictive model based on available soil properties (texture, bulk density, particle size distribution and porosity). Models that are physically sound have the additional advantage of predicting properties in situations in which measurements are lacking. Two of the most common models to predict Ks are: 1) Ks = Bdx, and 2) Ks = Cφen where d is a representative particle diameter obtained from a particle-size φe distribution, is an effective porosity obtained from water retention characteristic curves, B and x, and C and n are constants related to particle- and pore-size distributions, respectively. Our hypothesis is by combining information on particle and pore distributions we can reduce the nubmer of empirical variables used in a model. Consequently, our objective is to develop a model to predict Ks that incorporates information on both properties. Particle-size distributions can be measured directly, whereas pore-size distributions are inferred from soil water retention curves. Eight sandy materials were sampled and measured. Particle-size distributions were determind by sieving (sand size) and by the pipette method (clay content), with silt content determined as the difference between 1 and sum of the sand and clay fractions; water retention curves were obtained by combination of the hanging column (-0.1 kPa to -5.0 kPa) and the pressure plate method (-5.0 kPa to -1500 kPa); and Ks was measured with the constant head method. Our data followed models 1 and 2. By defining n in model 2 as the slope of water retention curves, C was better related to d defined as the median of a particle-size distribution. This result underlines the potential for developing theoretical links integrating on particle- and pore-size distribution in a single model." |
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| Language: | English |
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| References: | 0 |
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| Note: | This item is an abstract only! |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Han, H., D. Giménez, J. A. Murphy, H. Samaranayake, and T. J. Lawson. 2004. Predicting saturated hydraulic conductivity by soil particle- and pore-size distributions. Proc. Annu. Rutgers Turfgrass Symp. p. 44. |
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| Web URL(s):
https://turf.rutgers.edu/research/abstracts/symposium2004.pdf#page=45
Last checked: 02/06/2017
Requires: PDF Reader
Notes: Item is within a single large file |
| 
MSU catalog number: SB 433 .R88 |
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