Jackson Scott, Hendley Paul, Jones Russell, Poletika Nick, Russell Mark
BASF Corporation, 26 Davis Drive, Research Triangle Park, NC 27709, USA
J Agric Food Chem. 2005 Nov 2;53(22):8840-7. doi: 10.1021/jf050584u.
Crop-protection compounds are useful tools that enhance the quality of the food we enjoy. However, crop-protection products can enter aquatic systems either by direct or by indirect application. To better understand the possible frequency and magnitude of exposure to water resources, the regulatory community has developed a set of relatively straightforward models for estimating exposure to these water systems. The focus of this research was to compare how well the estimates of exposure to drinking water based on model calculations relate to actual monitoring data. Physical/chemical property data were entered in the EPA's exposure model FIRST and into PRZM/EXAMS. The predictions from FIRST and PRZM/EXAMS were then compared to actual monitoring data from a USGS/EPA cooperative program, which monitored for pesticides in vulnerable surface drinking water supplies during 1999 and 2000. Results from this examination indicate the exposure from the models can overpredict concentrations found in water by several orders of magnitude. An overprediction factor is presented that corrects model predictions to more closely approximate concentrations found in reservoirs (p = 0.05).
作物保护化合物是提高我们享用的食物质量的有用工具。然而,作物保护产品可以通过直接或间接施用进入水生系统。为了更好地了解接触水资源的可能频率和程度,监管机构开发了一套相对简单的模型来估计对这些水系统的接触情况。本研究的重点是比较基于模型计算的饮用水接触估计值与实际监测数据的吻合程度。将物理/化学性质数据输入美国环保署的暴露模型FIRST和PRZM/EXAMS中。然后将FIRST和PRZM/EXAMS的预测结果与美国地质调查局/美国环保署合作项目的实际监测数据进行比较,该项目在1999年和2000年对脆弱的地表饮用水源中的农药进行了监测。本次检验结果表明,模型预测的水中浓度可能比实际浓度高估几个数量级。提出了一个高估因子,用于校正模型预测,使其更接近水库中实际发现的浓度(p = 0.05)。