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Reanalysis of a 15-Year Archive of IMPROVE Samples

机译:重新分析15年的IMPROVE样本档案

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In summary, advances in measurement method may create discontinuities in data quality (e.g., less noise or smaller bias) that impact temporal trends analyses. Measurement performance can also vary over time as a result of uncontrollable factors or slight adjustments to the instrumentation or measurement technique: changes in the commercial availability of filters and other consumables, retirement or reassignment of operators, degradation and subsequent replacement of instrument components, changes in mathematical algorithms, and replacement of calibration standards. Shifts are not always obvious in the measured values themselves, particularly when the measurements are of inherently fluctuating quantities such as ambient PM concentrations. Our reanalysis using a consistent protocol revealed method-linked shifts in concentrations over time for several elements measured in IMPROVE, many of them outside the reported uncertainties in the concentrations.
机译:总之,测量方法的进步会在数据质量上造成不连续性(例如,较少的噪声或较小的偏差),从而影响时间趋势分析。由于无法控制的因素或对仪器或测量技术的细微调整,测量性能也会随时间变化:过滤器和其他消耗品的商业可用性变化,操作员的退休或重新分配,仪器组件的降级和后续更换,数学算法,并替换校准标准。测量值本身并不总是很明显地出现偏移,特别是当测量值具有内在波动的量(例如环境PM浓度)时。我们使用一致的方案进行的重新分析显示,在IMPROVE中测量的几种元素的浓度随时间变化的方法相关变化,其中许多元素在浓度不确定的范围内。

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