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Web URL(s): | http://archive.lib.msu.edu/tic/rpr/1999/72336, Cornell, Haith, runoff.PDF Last checked: 04/08/2013 Requires: PDF Reader |
Publication Type:
| Report |
Material Type: | Manuscript |
Monographic Author(s): | Haith, Douglas A.; Andre, Benjamin J.; Stone, Sarah A. |
Author Affiliation: | Haith: Principal Investigator; and Andre and Stone: Undergraduate Research Assistants |
Monograph Title: | Pesticide Runoff Model for Turfgrass: Development, Testing and Application: 1999 Progress Report to Green Section Research, U.S. Golf Association, 1999. |
Publishing Information: | Ithaca, New York: Cornell University Dept. of Agricultural & Biological Engineering |
# of Pages: | 7 |
Collation: | 7 pp. |
Abstract/Contents: | "Goals: Adapt a previously development pesticide runoff model to turfgrass conditions and test the accuracy of model predictions by comparisons with data from field experiments.; Use the model to estimate pesticide runoff probabilities (return periods) for a range of chemicals and locations in the eastern U.S.; Progress: The curve number approach for runoff prediction, as incorporated in the PESTRUN model, was tested using published plot runoff data from six states. The data set included 69 runoff events (30 exceeding 10 mm), three soil hydrologic groups and four turfgrass varieties. Runoff curve numbers were determined for different turf conditions as shown in Table 1. When data from all events are combined, the statistical comparisons in Table 2 indicate a high level of model performance for all events and also for the 30 largest. The curve number model, as incorporated in PESTRUN explains 77% of the variation in observed runoff at the sites. We conclude that the PESTRUN model is a reasonable approach for estimating runoff from turf." |
Language: | English |
References: | 17 |
See Also: | See also related summary article, " Pesticide runoff model for turfgrass: Development, testing and application", 1999 Turfgrass and Environmental Research Summary [USGA], 1999, p. 48, R=72336. R=72336 |
Note: | "November 1, 1999" Tables Graphs |
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