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首页> 外文会议>Proceedings of 4th international symposium on pesticides and environmental safety amp; 5th pan Pacific confernce on pesticide science amp; 8th international workshop on crop protection chemistry and regulatory harmonization >Modeling Daily Pesticide Stream Concentrations in Agricultural Watersheds Using a Sinusoidal Wave Function
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Modeling Daily Pesticide Stream Concentrations in Agricultural Watersheds Using a Sinusoidal Wave Function

机译：使用正弦波函数模拟农业流域中的每日农药流浓度

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@@ Water quality monitoring studies of several agricultural drainage basins in the United States have accumulated a valuable amount of concentration data for pesticides and other agricultural chemicals over the last few decades. Using these data to develop predictive models is a desirable objective and will help to increase the understanding of factors controlling the environmental fate and transport of agricultural chemicals on watershed scales. However, most of these monitoring data sets are retrospective and many ancillary parameters such as specific product use, prevailing hydrological conditions, and agricultural practices in the watershed are not systematically recorded during the time of monitoring. Since these parameters are known to influence the frequency and magnitude of residue levels in surface water, mechanistic model development based on these data is difficult.
机译：@@在过去的几十年中，对美国几个农业流域的水质监测研究已经积累了大量有价值的农药和其他农药的浓度数据。使用这些数据来建立预测模型是一个理想的目标，将有助于加深对控制环境命运和分水岭规模上的农药运输的因素的理解。但是，大多数这些监测数据集都是回顾性的，并且在监测期间并未系统地记录许多辅助参数，例如特定产品的使用，主要的水文条件和流域的农业实践。由于已知这些参数会影响地表水中残留物水平的频率和大小，因此很难基于这些数据来建立机械模型。

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