Predicting pesticide removal efficacy of vegetated filter strips: A meta-regression analysis

The Science of the Total Environment
Huajin ChenMinghua Zhang

Abstract

Vegetated Filter Strips (VFS's) are widely used for alleviating agricultural pesticide loadings to surface water bodies. However, effective tools are lacking to quantify the performance of VFS's in reducing off-site pesticide transport. In this study, we applied meta-regression to develop a model for predicting VFS pesticide retention efficiency based on hydrologic responses of VFS's, incoming pollutant characteristics and the interaction within and between these two factor groups (R(2)=0.83). In cross-validation analysis, our model (Q(2)=0.81) outperformed the existing pesticide retention module of VFSMOD (Q(2)=0.72) by explicitly accounting for interaction effect and the categorical effect of pesticide adsorption properties. Based on the 181 data points studied, infiltration had a leading, positive influence on pesticide retention, followed by sedimentation and interaction between the two. Interaction between infiltration and pesticide adsorption properties was also prominent, as the influence of infiltration was significantly lower for strongly adsorbed pesticides. In addition, the clay content of incoming sediment was negatively associated with pesticide retention. Our model is not only valuable in predicting VFS performanc...Continue Reading

References

Jun 26, 2007·The Science of the Total Environment·Stefan ReichenbergerHans-Georg Frede
Jun 17, 2009·Journal of Chemical Information and Modeling·Viviana ConsonniRoberto Todeschini
Feb 24, 2010·Journal of Environmental Quality·Rafael Muñoz-CarpenaGeorge J Sabbagh

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Citations

Apr 8, 2017·Water, Air, and Soil Pollution·John C MajsztrikSarah A White
Dec 15, 2020·The Science of the Total Environment·Marc StutterChen Wang
Apr 18, 2020·The Science of the Total Environment·Mingjie LuoChunlei Liu
Jul 30, 2021·The Science of the Total Environment·Marc StutterDaire Ó hUallacháin
Mar 6, 2019·Environmental Science & Technology·Jochen P ZubrodRalf B Schäfer

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