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Does mechanistic modeling of filter strip pesticide mass balance and degradation processes affect environmental exposure assessments?

机译:滤纸条农药质量平衡和降解过程的机械建模是否会影响环境暴露评估?

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Vegetative filter strips (VFS) are a widely adopted practice for limiting pesticide transport from adjacent fields to receiving waterbodies. The efficacy of VFS depends on site-specific input factors. To elucidate the complex and non-linear relationships among these factors requires a process-based modeling framework: Previous research proposed linking existing higher-tier environmental exposure models with a well-tested VFS model (VFSMOD). However, the framework assumed pesticide mass stored in the VFS was not available for transport in subsequent storm events. A new pesticide mass balance component was developed to estimate surface pesticide residue trapped in the VFS and its degradation between consecutive runoff events. The influence and necessity of the updated framework on acute and chronic estimated environmental concentrations (EECs) and percent reductions in EECs were investigated across three, 30-year U.S. EPA scenarios: Illinois corn, California tomato, and Oregon wheat. The updated framework with degradation predicted higher EECs than the existing framework without degradation for scenarios with greater sediment transport, longer VFS lengths, and highly sorbing and persistent pesticides. Global sensitivity analysis (GSA) assessed the relative importance of mass balance and degradation processes in the context of other input factors like VFS length (VL), organic-carbon sorption coefficient (K-oc), and soil and water half-lives. Considering VFS pesticide residue and degradation was not important if single, large runoff events controlled transport, as is typical for higher percentiles considered in exposure assessments. Degradation processes become more important when considering percent reductions in acute or chronic EECs, especially under scenarios with lower pesticide losses. (C) 2015 Elsevier Ltd. All rights reserved.
机译:营养性滤纸条(VFS)是一种广泛采用的做法,用于限制农药从相邻田地到接收水体的运输。 VFS的功效取决于特定于站点的输入因素。为了阐明这些因素之间的复杂和非线性关系,需要一个基于过程的建模框架:先前的研究提出将现有的较高层环境暴露模型与经过充分测试的VFS模型(VFSMOD)进行链接。但是,该框架假定存储在VFS中的农药质量在随后的暴风雨事件中无法运输。开发了一种新的农药质量平衡成分,以估算捕集在VFS中的表面农药残留及其在连续径流事件之间的降解。在美国EPA的三种30年情景中,研究了更新的框架对急性和慢性估计环境浓度(EEC)和EEC减少百分比的影响和必要性:伊利诺伊州玉米,加利福尼亚州番茄和俄勒冈州小麦。对于具有更大沉积物传输,更长的VFS长度以及高度吸附和持久性农药的场景,具有退化的更新框架预测的EEC比没有退化的现有框架更高。全球敏感性分析(GSA)在其他输入因素(例如VFS长度(VL),有机碳吸附系数(K-oc)以及土壤和水的半衰期)中评估了质量平衡和降解过程的相对重要性。如果单个大径流事件控制了运输,那么考虑VFS农药残留和降解并不重要,这在暴露评估中通常考虑到较高百分位数。当考虑减少急性或慢性EEC的百分比时,尤其是在农药损失较低的情况下,降解过程变得尤为重要。 (C)2015 Elsevier Ltd.保留所有权利。

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