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Modeling Pesticide Fate and Nonideal Transport From Seeds Treated with a Slow-Release Pesticide in a Laboratory Soil Column

机译:在实验室土壤柱中模拟用缓释农药处理过的种子的农药命运和非理想运输

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摘要

This research evaluated the predictive ability of a pesticide fate and transport model to simulate the potential for pesticide leaching from slow-release insecticide-treated corn seeds. No studies in the literature report model evaluation for pesticide-treated seeds. The column studies consisted of ten 60 cm soil columns of silt loam soil, each planted with one corn seed treated with the active ingredient of an experimental pesticide. The columns were modeled using the Root Zone Water Quality Model (RZWQM), which is capable of simulating slow-release, instantaneous equilibrium (IE) and equilibrium kinetic (EK) sorption, and irreversible binding. The model was calibrated for hydrology (i.e., leachate from the bottom of the soil columns), crop growth, and total pesticide in the soil profile. Measured concentrations were compared to model predictions for IE and EK sorption scenarios across a range of sorption parameters derived from batch and time-dependent sorption studies. Modeling scenarios failed to predict the observed pesticide confinement (70% of applied pesticide) to primarily the upper 15 cm of the soil profile, with 1% to 20% of applied in the upper 15 cm for IE sorption and 3% to 18% of applied for EK sorption at the end of the simulation period. Both IE and EK sorption scenarios failed to predict pesticide in leachate (observed cumulative of 0.12% of applied) unless using minimum IE and EK sorption parameters. Model deviations from observations were hypothesized to be due to the model representing a theoretical two-dimensional process in one-dimension and the potential for preferential flow paths formed by root formation. Long-term (i.e., 20-year) simulations suggested that significant differences (i.e., average of 8% compared to less than 1% cumulative leaching) arise between IE and EK sorption after several plantings of the pesticide-treated seed. The error in assuming IE sorption for an EK sorption process is negligible over the short term but increases with subsequent chemical applications over the long term
机译:这项研究评估了农药命运和运输模型对从缓释杀虫剂处理过的玉米种子中浸出农药的潜力的预测能力。文献中没有研究报告对农药处理过的种子进行模型评估。柱研究由十个60 cm的粉壤土土壤柱组成,每个柱上都种植了一种用实验性农药的活性成分处理过的玉米种子。使用“根区水质模型”(RZWQM)对色谱柱进行建模,该模型能够模拟缓释,瞬时平衡(IE)和平衡动力学(EK)吸附以及不可逆结合。对该模型进行了校准,以进行水文测量(即从土壤柱底部渗滤液),作物生长以及土壤剖面中的总农药含量。在批次和时间相关吸附研究得出的一系列吸附参数中,将测得的浓度与IE和EK吸附情况的模型预测值进行了比较。建模方案无法预测观察到的农药局限性(占施用农药的70%)主要分布在土壤剖面的上部15厘米,其中IE吸附的上部15厘米施用了1%至20%,IE吸附了3%至18%在模拟期结束时申请EK吸附。 IE和EK吸附方案均无法预测渗滤液中的农药(观察到的累积量为施药量的0.12%),除非使用最低的IE和EK吸附参数。假设与观测值的模型偏差是由于该模型代表一维理论上的二维过程以及由根部形成而形成的优先流动路径的可能性。长期(即20年)模拟表明,在多次种植经过杀虫剂处理的种子后,IE和EK的吸附之间存在显着差异(即,平均8%的累积浸出少于1%的累积浸出)。假设EK吸附过程的IE吸附的误差在短期内可忽略不计,但从长期来看,随后续化学应用的增加而增加

著录项

  • 来源
    《Transactions of the ASABE》 |2007年第2期|p.523-532|共10页
  • 作者单位

    George J. Sabbagh, Principal Scientist/Engineer, Bayer CropScience, Environmental Research Division, Stilwell, Kansas, and Adjunct Professor, Department of Biological and Agricultural Engineering, Texas AM University, College Station, Texas;

    Garey A. Fox, ASABE Member Engineer, Assistant Professor, Department of Biosystems and Agricultural Engineering, Oklahoma State University, Stillwater, Oklahoma;

    Liwang Ma, Soil Scientist, USDA-ARS Great Plains System Research Unit, Fort Collins, Colorado;

    Robert W. Malone, ASABE Member Engineer, Agricultural Engineer, USDA-ARS National Soil Tilth Laboratory, Ames, Iowa;

    Ellen L. Arthur, Senior Scientist, Bayer CropScience, Environmental Research Division, Stilwell, Kansas;

    and Dan G. Dyer, Manager, Products Responsible Scientists, Exposure and Risk Assessment Group, Bayer CropScience, Environmental Research Division, Stilwell, Kansas. Corresponding author: Garey A. Fox, Department of Biosystems and Agricultural Engineering, Oklahoma State University, 120 Ag Hall, Stillwater, OK 74078;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Kinetic sorption; Leaching; Pesticide-treated seed; Root Zone Water Quality Model; RZWQM; Seed treatment;

    机译:动力学吸附浸出农药处理的种子;根区水质模型;RZWQM;种子处理;

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