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| Web URL(s): | https://dl.sciencesocieties.org/publications/jeq/pdfs/29/5/JEQ0290051548
Last checked: 12/14/2016
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| Publication Type:
| Refereed |
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| Author(s): | Haith, Douglas A.;
Andre, Benjamin |
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| Author Affiliation: | Haith: Agricultural and Biological Engineering, Cornell University, Ithaca, New York; Andre: Department of Civil, Environmental and Architectural Engineering, University of Colorado, Boulder, Colorado |
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| Title: | Curve number approach for estimating runoff from turf |
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| Section: | Technical reports: Plant and environment interactions
Other records with the "Technical reports: Plant and environment interactions" Section
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| Source: | Journal of Environmental Quality. Vol. 29, No. 5, September/October 2000, p. 1548-1554. |
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| Publishing Information: | Madison, Wisconsin: American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America |
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| # of Pages: | 7 |
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| Keywords: | TIC Keywords: Models; Mathematical equations; Surface runoff; Estimation; Precipitation; Lolium; Comparisons
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| Geographic Terms: | Georgia; Indiana; Kentucky; Maryland; Oklahoma; Pennsylvania |
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| Abstract/Contents: | "The curve number equation is one of the simplest and most commonly used models for estimating surface runoff. However, its applicability to turfgrasses has not been previously demonstrated. This study evaluated the approach by comparing model estimates with measured runoff data from turf field plots in six different states, including three different soil hydrologic groups, four turfgrasses, and a range of antecedent moisture and turf conditions. A set of curve numbers were developed for short and long grasses with and without thatch, and curve number selection was based on linear functions of 5-d antecedent precipitation. With the standard growing season antecedent moisture limits of 36 mm and 53 mm, the curve number model explained 78% of the observed variation in runoff and underpredicted the mean event runoff by 15%. With a downward adjustment of these limits to 22 mm and 53 mm in split-sample calibration, the underprediction of means was reduced to less than 3%. More significantly, the model mean for the largest observed events was within 6% of the observed mean. Provided model results are interpreted in a statistical sense rather than as individual events, the curve number model, as modified in this study, is a relatively accurate means of estimating turf runoff." |
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| Language: | English |
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| References: | 22 |
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| See Also: | Other items relating to: RUNOFF |
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| Note: | Tables
Graphs |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Haith, D. A., and B. Andre. 2000. Curve number approach for estimating runoff from turf. J. Environ. Qual. 29(5):p. 1548-1554. |
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| Web URL(s):
https://dl.sciencesocieties.org/publications/jeq/pdfs/29/5/JEQ0290051548
Last checked: 12/14/2016
Requires: PDF Reader
Notes: Item isader within a limited-access website |
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MSU catalog number: S 900 .J6 |
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