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Influences of sampling methodologies on pesticide-residue detection in stream water

机译:采样方法对溪水中农药残留检测的影响

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Traditional grab sampling (GS) used widely in the study of water quality has been found lacking in spatial and temporal resolution for pesticide residue monitoring in stream water. The objectives of this article are to present a hydrograph-based sampling approach and compare it with traditional GS according to sensitivity at temporal and spatial scales and maximum concentrations of pesticide residues detected in-stream. Data collected from streams receiving water from three nested watersheds located in northwestern New Brunswick, Canada, were used in this study. The results showed that the hydrograph-based sampling method detected 20 to 30 % more pesticide cases than GS for rainfall events causing runoff. Grab sampling significantly underestimated average concentrations of pesticide residues by 50 % and maximum concentrations by 1 to 3 orders of magnitude. Using a modified sampler design, the spatial and temporal variability of pesticide residues was more accurately captured by hydrograph-based sampling, and therefore its use in monitoring programs is recommended.
机译:发现在水质研究中广泛使用的传统抓取采样(GS)缺乏用于监测流水中农药残留的时空分辨率。本文的目的是提出一种基于水位图的采样方法,并根据时间和空间尺度上的灵敏度以及在流中检测到的农药残留的最大浓度,将其与传统GS进行比较。在这项研究中,使用了从位于加拿大新不伦瑞克省西北部三个嵌套流域的水流中收集的数据。结果表明,基于水文法的采样方法在降雨事件引起的径流方面比GS检出的农药案例多20到30%。采样结果大大低估了农药残留的平均浓度50%,最大浓度低了1-3个数量级。使用改进的采样器设计,通过基于水位图的采样可以更准确地捕获农药残留的时空变化,因此建议将其用于监测程序。

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