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Modeling Daily Pesticide Stream Concentrations in Agricultural Watersheds Using a Sinusoidal Wave Function

机译:用正弦波函数模拟农业流域的日常农药流浓度

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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:@@水质监测研究美国在过去几十年中积累了美国农药和其他农业化学品的有价值的浓度数据。利用这些数据开发预测模型是一个理想的目标,并将有助于提高控制环境命运和农业化学物质在流域鳞片上的因素的理解。然而,这些监测数据集是回顾性的,并且许多辅助参数,如特定产品使用,流行的水文条件以及在流域的农业实践期间在监测期间没有系统地记录。由于已知这些参数来影响地表水中残留水平的频率和大小,因此基于这些数据的机械模型开发是困难的。

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