Full TGIF Record # 146346
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DOI:10.2134/jeq2008.0266
Web URL(s):https://dl.sciencesocieties.org/publications/jeq/articles/38/2/762
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https://dl.sciencesocieties.org/publications/jeq/pdfs/38/2/762
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Publication Type:
i
Refereed
Author(s):Sabbagh, G. J.; Fox, G. A.; Kamanzi, A.; Roepke, B.; Tang, J.-Z.
Author Affiliation:Sabbagh: Bayer Crop Science, and Texas A&M University; Fox: Oklahoma State University; Kamanzi: COMSYS; Roepke and Tang: Bayer Crop Science
Title:Effectiveness of vegetative filter strips in reducing pesticide loading: Quantifying pesticide trapping efficiency
Section:Technical reports: Surface water quality
Other records with the "Technical reports: Surface water quality" Section
Source:Journal of Environmental Quality. Vol. 38, No. 2, March/April 2009, p. 762-771.
Publishing Information:Madison, Wisconsin: American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America
# of Pages:10
Keywords:TIC Keywords: Filter strips; Leaching; Pesticides; Pollution control; Surface runoff; Sorption; Models; Loading rates; Buffer zones
Abstract/Contents:"Pesticide trapping efficiency of vegetated filter strips (VFS) is commonly predicted with low success using empirical equations based solely on physical characteristics such as width and slope. The objective of this research was to develop and evaluate an empirical model with a foundation of VFS hydrological, sedimentological, and chemical specific parameters. The literature was reviewed to pool data from five studies with hypothesized significant parameters: pesticide and soil properties, percent reduction in runoff volume (i.e., infiltration) and sedimentation, and filter strip width. The empirical model was constructed using a phase distribution parameter, defined as the ratio of pesticide mass in dissolved form to pesticide mass sorbed to sediment, along with the percent infiltration, percent sedimentation, and the percent clay content (R2= 0.86 and standard deviation of differences [STDD] of 7.8%). Filter strip width was not a statistically significant parameter in the empirical model. For low to moderately sorbing pesticides, the phase distribution factor became statistically insignificant; for highly sorbing pesticides, the phase distribution factor became the most statistically significant parameter. For independent model evaluation datasets, the empirical model based on infiltration and sediment reduction, the phase distribution factor, and the percent clay content (STDD of 14.5%) outperformed existing filter strip width equations (STDD of 38.7%). This research proposed a procedure linking a VFS hydrologic simulation model with the proposed empirical trapping efficiency equation. For datasets with sufficient information for the VFS modeling, the linked numerical and empirical models significantly (R2 = 0.74) improved predictions of pesticide trapping over empirical equations based solely on physical VFS characteristics."
Language:English
References:37
Note:Tables
Graphs
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Sabbagh, G. J., G. A. Fox, A. Kamanzi, B. Roepke, and J.-Z. Tang. 2009. Effectiveness of vegetative filter strips in reducing pesticide loading: Quantifying pesticide trapping efficiency. J. Environ. Qual. 38(2):p. 762-771.
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DOI: 10.2134/jeq2008.0266
Web URL(s):
https://dl.sciencesocieties.org/publications/jeq/articles/38/2/762
    Last checked: 11/07/2016
    Access conditions: Item is within a limited-access website
https://dl.sciencesocieties.org/publications/jeq/pdfs/38/2/762
    Last checked: 11/08/2016
    Requires: PDF Reader
    Access conditions: Item is within a limited-access website
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