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DEVELOPMENT AND FIELD VALIDATION OF THE PESTFATE MODEL IN SOUTHERN ONTARIO

机译:安大略省南部害虫模型的开发和现场验证

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A new pesticide movement model called PESTFATE (PESTicide Fate and Transport in Environment) has been developed by combining DRAINMOD, a well-known water table management model, and the pesticide submodel of PESTFADE. The pesticide sorption in the new model is based on two different techniques, namely, conventional mechanism and a new two-stage sorption method called Gamble kinetics. The model was validated by comparing the simulated midspan water table depths and atrazine [2-chloro-4-ethylamino-6-isopropylamino-1, 3, 5-triazine] concentrations against an independently collected dataset from a research site in southern Ontario. The experimental field consisted of 16 plots with two different water table management and four different tillage practices, replicated twice. Only the plots with conventional tillage and controlled drainage were used in this study. The model performed well in predicting the daily water table depths. Although the intercept and slope of the regression between the observed and predicted water table depths were significantly different from 0 and 1, respectively, the model efficiencies for 1992, 1993, and 1994 were 28%, 81%, and 64%, respectively, which shows a better accuracy for the last two years of the study. The normalized standard errors were within 15% to 20%, which indicates good model performance for water flow simulation. However, the correlation between the observed and simulated pesticide concentrations with both the conventional and Gamble kinetics was poor. Moreover, the Gamble kinetics did not significantly improve pesticide simulations (P 0.05) as compared to the conventional method. The experiments were conducted on Brookston clay loam soil, which is known for developing soil cracks and consequently preferential flow. This could be one of the reasons for poorer model performance, especially with the Gamble kinetics. This was not the case in previous studies, which reported better simulation results with the new sorption mechanism, so the model requires additional field testing before any concrete conclusions can be drawn about its performance. There is also a need to test the model with other pesticides
机译:通过结合著名的地下水位管理模型DRAINMOD和PESTFADE的农药子模型,开发了一种称为PESTFATE(环境中的农药命运和运输)的新农药移动模型。在新模型中,农药的吸附基于两种不同的技术,即常规机理和称为Gamble动力学的新的两阶段吸附方法。通过将模拟的中跨水位深度和at去津[2-氯-4-乙基氨基-6-异丙基氨基-1,3,5-三嗪]浓度与安大略省南部一个研究地点独立收集的数据集进行比较,验证了该模型的有效性。该试验场由16个样地组成,具有两个不同的地下水位管理和四个不同的耕作方式,重复了两次。本研究仅使用具有常规耕作和排水控制的地块。该模型在预测每日地下水位深度方面表现良好。尽管观测水位深度与预测水位深度之间的回归的截距和斜率分别显着不同于0和1,但1992、1993和1994年的模型效率分别为28%,81%和64%,这在最近两年的研究中显示出更高的准确性。归一化的标准误差在15%到20%之内,这表明水流模拟具有良好的模型性能。但是,观察到的和模拟的农药浓度与常规和Gamble动力学之间的相关性很差。此外,与传统方法相比,Gamble动力学没有显着改善农药模拟(P <0.05)。实验是在布鲁克斯顿黏土壤土上进行的,该土壤以产生土壤裂缝并因此优先流动而闻名。这可能是模型性能较差的原因之一,尤其是使用Gamble动力学时。在以前的研究中情况并非如此,后者使用新的吸附机理报告了更好的模拟结果,因此该模型需要进行额外的现场测试,然后才能得出有关其性能的任何具体结论。还需要与其他农药一起测试模型

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