Incorporating Preferential Flow and Herbicide Fate and Transport Into the Drainage Model

Kumar, Ajay; Kanwar, Rameshwar S.

doi:10.13031/2013.21349

Cited by 8 publications

(4 citation statements)

References 18 publications

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“…Among the models with management purposes, a first class of models gathers pesticide leaching 1D models that can also account for subsurface drainage through specific options, such as MACRO (Larsbo and Jarvis, 2003), PEARL (Leistra et al, 2001), LEACHP (Dust et al, 2000), RZWQM (Bakhsh et al, 2004) or AGRI-Paper published in Agricultural Water Management 96 (2009) [415][416][417][418][419][420][421][422][423][424][425][426][427][428] FLUX (Banton and Larocque, 1997). A second class of models regroups drainage-specific models, such as DRAINAGE (Kumar and Kanwar, 1997), ADAPT (Kalita et al, 1998), DRAINMOD/GLEAMS (Rudra et al, 2005) and PESTFATE (Bera et al, 2005), which are different combinations of the drainage engineering model DRAINMOD (Skaggs, 1999) and the pesticide leaching model GLEAMS (Leonard et al, 1995).…”

Section: Introductionmentioning

confidence: 99%

A simplified modelling approach for pesticide transport in a tile-drained field: The PESTDRAIN model

Branger¹,

Tournebize²,

Carluer³

et al. 2009

Agricultural Water Management

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International audienceThe paper presents a simplified model called PESTDRAIN. It simulates pesticide transport in a subsurface tile-drained field. It computes surface runoff and tile-drainage flow rates, along with the associated pesticide concentrations, with a variable event-driven time step. PESTDRAIN consists of three coupled modules: SIDRA, SIRUP and SILASOL. SIDRA and SIRUP are the water flow simulation modules in the saturated and unsaturated zones, respectively. SIDRA follows a simplified physically based approach while SIRUP follows a conceptual capacitive approach. SILASOL is the solute transport module for both the saturated and unsaturated zones and is based on transfer functions. It includes simple representations of adsorption and degradation of pesticides. PESTDRAIN was tested on field data sets collected for three drainage seasons at the La Jaillière experimental site in north-western France, for the wheat herbicides isoproturon (IPU) and diflufenican (DFF). After model calibration, relative errors for drainage and surface runoff flows over the season were 14% and 4%, respectively, and the Nash–Sutcliffe efficiency coefficient (Neff) value for drainage discharge was 0.58. A fair reproduction of a high temporal resolution IPU concentration data set in drainage discharge was also obtained (Neff=0.28). For the validation data sets, PESTDRAIN was able to simulate accurately drainage discharge with Nash–Sutcliffe efficiency coefficients of 0.57 and 0.69. The global Neff was 0.44 for all flow-weighted average weekly concentrations in drainage. Relative errors for the pesticide losses were 2.5% and 35% (IPU), and 60% (DFF). For surface runoff the results were not as accurate, but they remained correct in terms of time location and order of magnitude. Although further validation is necessary with more field data, PESTDRAIN appears as a promising tool for agricultural water management

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Section: Introductionmentioning

confidence: 99%

A simplified modelling approach for pesticide transport in a tile-drained field: The PESTDRAIN model

Branger¹,

Tournebize²,

Carluer³

et al. 2009

Agricultural Water Management

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“…Loague26 suggested an evaluation approach in which a solute transport model is first calibrated against field data from a specific period by adjusting input parameters until an acceptable fit is achieved and then run for a different time using the calibrated parameter set. The model is deemed validated if an ‘acceptable’ fit is found between the model predictions and the experimental data for the second period 27. However, a successful calibration of a model against experimental data could imply either that the model structure and the parameter values are both realistic, or that they are both unrealistic but compensate for one another 28.…”

Section: The Use Of Calibration In Modelling the Environmental Fatementioning

confidence: 99%

“…The modeller needs to make assumptions on the pattern of pesticide concentrations between sampling occasions. The modeller may assume stable concentrations between the two sampling times (at the concentration for the first sample) or a linear interpolation of concentrations between successive samples 27…”

Section: Issues Associated With the Calibration Of Pesticide Leachimentioning

confidence: 99%

Calibration of pesticide leaching models: critical review and guidance for reporting

Dubus

Beulke

Brown

2002

Pest Management Science

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Calibration of pesticide leaching models may be undertaken to evaluate the ability of models to simulate experimental data, to assist in their parameterisation where values for input parameters are difficult to determine experimentally, to determine values for specific model inputs (e.g. sorption and degradation parameters) and to allow extrapolations to be carried out. Although calibration of leaching models is a critical phase in the assessment of pesticide exposure, lack of guidance means that calibration procedures default to the modeller. This may result in different calibration and extrapolation results for different individuals depending on the procedures used, and thus may influence decisions regarding the placement of crop-protection products on the market. A number of issues are discussed in this paper including data requirements and assessment of data quality, the selection of a model and parameters for performing calibration, the use of automated calibration techniques as opposed to more traditional trial-and-error approaches, difficulties in the comparison of simulated and measured data, differences in calibration procedures, and the assessment of parameter values derived by calibration. Guidelines for the reporting of calibration activities within the scope of pesticide registration are proposed.

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“…Annual simulated losses of atrazine from the clay soil to a sand and gravel aquifer ranged from 7 to 15% of total applied. Kumar and Kanwar (1997b) integrated a pesticide component into the DRAINAGE model using the GLEAMS model and preferential transport of atrazine through subsurface drains. The model accurately predicted observed subsurface drain flows for the two verification years and atrazine concentrations for a normal precipitation year.…”

Section: Nonpoint Source Modeling and Monitoringmentioning

confidence: 99%

Nonpoint sources

Line¹,

McLaughlin²,

Osmond³

et al. 1998

Water Environment Research

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Incorporating Preferential Flow and Herbicide Fate and Transport Into the Drainage Model

Cited by 8 publications

References 18 publications

A simplified modelling approach for pesticide transport in a tile-drained field: The PESTDRAIN model

A simplified modelling approach for pesticide transport in a tile-drained field: The PESTDRAIN model

Calibration of pesticide leaching models: critical review and guidance for reporting

Nonpoint sources

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