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The Development of a Standard Turf Scenario: Notes of an External Review of the USEPA Turf Scenario

机译:制定标准草皮场景:对USPA草皮场景的外部审查说明

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The use of agricultural field scale runoff models to predict pesticide runoff losses from turf poses some unique modeling challenges. There are a number of aspects of turf grass culture which differ significantly from row crop agriculture in how they affect runoff processes. In particular, the generally high tiller and leaf density of the verdure reduces exposure of the soil surface to the direct impact of rain droplets and hence, mitigates the potential for agrochemical transport in runoff. The development of increased surface soil organic matter levels, in varying stages of decomposition and incorporation into the soil matrix as 'thatch', should also be taken into account. Highly managed turf grass areas susceptible to runoff are generally smaller than the typical field size for agricultural row crops; the potential for soil erosion is therefore, again, much reduced under turf The United States Environmental Protection Agency (USEPA) evaluated data from a small-plot turf runoff study published by researchers at the University of Georgia (UGA) to enable development of a standard turf scenario, now in regulatory use. The USEPA scenario was then evaluated by the authors using the same publications, i.e., the small-plot data generated on the transport of the herbicides mecoprop, dicamba, dithiopyr and 2,4-D in runoff, with the addition of more detailed, unpublished data from the University of Georgia study files. In addition, the UGA-measured transport of chlorpyrifos, a strongly adsorbed compound, was included in the present evaluation. Model performance using the key features of the standard turf scenario was generally good for the weakly adsorbed compounds. Performance for the more strongly adsorbed compounds was poor, and over-predicted adsorbed chemical losses in eroded soil. Adjustments to soil erosion parameters and consideration of scale effects resulted in improved predictions.
机译:采用农业领域规模径流模型预测从草坪上的农药径流损失带来了一些独特的建模挑战。草坪草文化有许多方面,从行农业农业中显着不同,它们如何影响径流过程。特别地,勃起的普遍较高的分蘖和叶片密度减少了土壤面积暴露于雨滴的直接影响,因此,减轻径流中农业化学运输的潜力。还应考虑到不同阶段的表面土壤有机物质水平的发展,并将其掺入土壤基质中作为“QCH”。易受径流的高度管理草坪草区域通常小于农业排作物的典型场大小;因此,土壤侵蚀的潜力再次,在美国环境保护署(UMEDPA)下,从格鲁吉亚大学(UGA)的研究人员出版的小剧情草皮径流研究中评估了数据,从而降低了土壤侵蚀的潜力。草皮场景,现在在监管使用中。然后由作者使用相同的出版物评估使用者的情况,即在径流中运输除草剂MeCoprop,Dicamba,Dishiopyr和2,4-D时产生的小绘制数据,加入更详细,未发表来自佐治亚大学的数据研究文件。此外,本发明评价中包含氯吡啶的UGA测量的氯吡啶族传输,致力于吸附的化合物。使用标准草皮场景的主要特征的模型性能通常适用于弱吸附的化合物。更强烈的吸附化合物的性能差,过度预测的吸附在侵蚀土壤中的吸附化学损失。对土壤侵蚀参数的调整和对规模效应的考虑导致了改进的预测。

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