首页> 外文OA文献 >High frequency monitoring of pesticides in runoff water to improve understanding of their transport and environmental impacts
【2h】

High frequency monitoring of pesticides in runoff water to improve understanding of their transport and environmental impacts

机译:对径流水中的农药进行高频率监测,以提高对其运输和环境影响的了解

摘要

Rainfall-induced peaks in pesticide concentrations can occur rapidly. Low frequency sampling may therefore largely underestimate maximum pesticide concentrations and fluxes. Detailed storm-based sampling of pesticide concentrations in runoff water to better predict pesticide sources, transport pathways and toxicity within the headwater catchments is lacking. High frequency monitoring (2 min) of seven pesticides (Dimetomorph, Fluopicolide, Glyphosate, Iprovalicarb, Tebuconazole, Tetraconazole and Triadimenol) and one degradation product (AMPA) were assessed for 20 runoff events from 2009 to 2012 at the outlet of a vineyard catchment in the Layon catchment in France. The maximum pesticide concentrations were 387 μg L− 1. Samples from all of the runoff events exceeded the legal limit of 0.1 μg L− 1 for at least one pesticide (European directive 2013/39/EC). High resolution sampling used to detect the peak pesticide levels revealed that Toxic Units (TU) for algae, invertebrates and fish often exceeded the European Uniform principles (25%). The point and average (time or discharge-weighted) concentrations indicated up to a 30- or 4-fold underestimation of the TU obtained when measuring the maximum concentrations, respectively. This highlights the important role of sampling methods for assessing peak exposure. High resolution sampling combined with concentration-discharge hysteresis analyses revealed that clockwise responses were predominant (52%), indicating that Hortonian runoff is the prevailing surface runoff trigger mechanism in the study catchment. The hysteresis patterns for suspended solids and pesticides were highly dynamic and storm- and chemical-dependent. Intense rainfall events induced stronger C-Q hysteresis (magnitude). This study provides new insights into the complexity of pesticide dynamics in runoff water and highlights the ability of hysteresis analysis to improve understanding of pesticide supply and transport.
机译:降雨引起的农药浓度峰值可能很快发生。因此,低频采样可能大大低估了最大农药浓度和通量。缺乏基于暴风雨的径流水中农药浓度的详细采样,以更好地预测源头集水区内的农药来源,运输途径和毒性。在2009年至2012年期间,评估了2009年至2012年期间20个径流事件的7种农药(敌吗啉,氟吡草胺,草甘膦,环丙卡威,戊唑醇,丁康唑和三苯二甲酚)和一种降解产物(AMPA)的高频监测(2分钟),评估了20个径流事件法国的莱昂集水区。农药的最大浓度为387微克L-1。所有径流事件的样品均超过了至少一种农药的法定限值0.1微克L-1(欧洲指令2013/39 / EC)。用于检测农药峰值水平的高分辨率采样表明,藻类,无脊椎动物和鱼类的毒性单位(TU)通常超过了欧洲统一标准(25%)。测量最大浓度时,点浓度和平均浓度(时间或排放加权浓度)分别比所获得的TU低30或4倍。这突出了采样方法在评估峰值暴露中的重要作用。高分辨率采样结合浓度-排放滞后分析显示,顺时针响应占主导(52%),这表明霍顿河径流是研究集水区主要的地面径流触发机制。悬浮固体和农药的磁滞模式是高度动态的,并且取决于风暴和化学物质。强烈的降雨事件导致更强的C-Q滞后(幅度)。这项研究为径流水中农药动力学的复杂性提供了新的见解,并强调了滞后分析功能可以增进对农药供应和运输的理解。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号