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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Pest Management Scie...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Pest Management Science
Article . 2004 . Peer-reviewed
License: Wiley Online Library User Agreement
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Modeling hydrology, metribuzin degradation and metribuzin transport in macroporous tilled and no‐till silt loam soil using RZWQM

Authors: Robert W, Malone; Liwang, Ma; R Don, Wauchope; Lajpat R, Ahuja; Kenneth W, Rojas; Qingli, Ma; Richard, Warner; +1 Authors

Modeling hydrology, metribuzin degradation and metribuzin transport in macroporous tilled and no‐till silt loam soil using RZWQM

Abstract

AbstractDue to the complex nature of pesticide transport, process‐based models can be difficult to use. For example, pesticide transport can be effected by macropore flow, and can be further complicated by sorption, desorption and degradation occurring at different rates in different soil compartments. We have used the Root Zone Water Quality Model (RZWQM) to investigate these phenomena with field data that included two management conditions (till and no‐till) and metribuzin concentrations in percolate, runoff and soil. Metribuzin degradation and transport were simulated using three pesticide sorption models available in RZWQM: (a) instantaneous equilibrium‐only (EO); (b) equilibrium‐kinetic (EK, includes sites with slow desorption and no degradation); (c) equilibrium‐bound (EB, includes irreversibly bound sites with relatively slow degradation). Site‐specific RZWQM input included water retention curves from four soil depths, saturated hydraulic conductivity from four soil depths and the metribuzin partition coefficient. The calibrated parameters were macropore radius, surface crust saturated hydraulic conductivity, kinetic parameters, irreversible binding parameters and metribuzin half‐life. The results indicate that (1) simulated metribuzin persistence was more accurate using the EK (root mean square error, RMSE = 0.03 kg ha−1) and EB (RMSE = 0.03 kg ha−1) sorption models compared to the EO (RMSE = 0.08 kg ha−1) model because of slowing metribuzin degradation rate with time and (2) simulating macropore flow resulted in prediction of metribuzin transport in percolate over the simulation period within a factor of two of that observed using all three pesticide sorption models. Moreover, little difference in simulated daily transport was observed between the three pesticide sorption models, except that the EB model substantially under‐predicted metribuzin transport in runoff and percolate >30 days after application when transported concentrations were relatively low. This suggests that when macropore flow and hydrology are accurately simulated, metribuzin transport in the field may be adequately simulated using a relatively simple, equilibrium‐only pesticide model. Published in 2004 for SCI by John Wiley & Sons, Ltd.

Keywords

Triazines, Pesticide Residues, Water, Agriculture, Models, Biological, Plant Roots, Sensitivity and Specificity, Kinetics, Soil, Research Design, Calibration, Algorithms

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
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