首页> 外文期刊>Atmospheric Measurement Techniques Discussions >Comparison of VOC measurements made by PTR-MS, adsorbent tubes–GC-FID-MS and DNPH derivatization–HPLC during the Sydney Particle Study, 2012: a?contribution to the assessment of uncertainty in routine atmospheric VOC measurements
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Comparison of VOC measurements made by PTR-MS, adsorbent tubes–GC-FID-MS and DNPH derivatization–HPLC during the Sydney Particle Study, 2012: a?contribution to the assessment of uncertainty in routine atmospheric VOC measurements

机译:PTR-MS,吸附剂管-GC-FIC-FICAT-HPLC在悉尼粒子研究期间对VOC测量的比较,2012年,2012:a?对常规大气压VOC测量中的不确定性评估的贡献

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Understanding uncertainty is essential for utilizing atmospheric volatile organic compound (VOC) measurements in robust ways to develop atmospheric science. This study describes an inter-comparison of the VOC data, and the derived uncertainty estimates, measured with three independent techniques (PTR-MS, proton-transfer-reaction mass spectrometry; GC-FID-MS, gas chromatography with flame-ionization and mass spectrometric detection; and DNPH–HPLC, 2,4-dinitrophenylhydrazine derivatization followed by analysis by high-performance liquid chromatography) during routine monitoring as part of the Sydney Particle Study (SPS) campaign in 2012. Benzene, toluene, C8 aromatics, isoprene, formaldehyde and acetaldehyde were selected for the comparison, based on objective selection criteria from the available data. Bottom-up uncertainty analyses were undertaken for each compound and each measurement system. Top-down uncertainties were quantified via the inter-comparisons. In all seven comparisons, the correlations between independent measurement techniques were high with R2 values with a median of 0.92 (range 0.75–0.98) and small root mean square of the deviations (RMSD) of the observations from the regression line with a?median of 0.11 (range 0.04–0.23ppbv). These results give a?high degree of confidence that for each comparison the response of the two independent techniques is dominated by the same constituents. The slope and intercept as determined by reduced major axis (RMA) regression gives a?different story. The slopes varied considerably with a?median of 1.25 and a range of 1.16–2.01. The intercepts varied with a?median of 0.04 and a range of ?0.03 to 0.31ppbv. An ideal comparison would give a?slope of 1.00 and an intercept of 0. Some sources of uncertainty that are poorly quantified by the bottom-up uncertainty analysis method were identified, including: contributions of non-target compounds to the measurement of the target compound for benzene, toluene and isoprene by PTR-MS as well as the under-reporting of formaldehyde, acetaldehyde and acetone by the DNPH technique. As well as these, this study has identified a?specific interference of liquid water with acetone measurements by the DNPH technique. These relationships reported for Sydney 2012 were incorporated into a?larger analysis with 61 similar published inter-comparison studies for the same compounds. Overall, for the light aromatics, isoprene and the C1–C3 carbonyls, the uncertainty in a?set of measurements varies by a?factor of between 1.5 and 2. These uncertainties (~50%) are significantly higher than uncertainties estimated using standard propagation of error methods, which in this case were ~22% or less, and are the result of the presence of poorly understood or neglected processes that affect the measurement and its uncertainty. The uncertainties in VOC measurements identified here should be considered when assessing the reliability of VOC measurements from routine monitoring with individual, stand-alone instruments; when utilizing VOC data to constrain and inform air quality and climate models; when using VOC observations for human exposure studies; and for comparison with satellite retrievals.
机译:理解不确定度对于利用大气挥发性有机化合物(VOC)测量,以强大的方式开发大气科学。该研究描述了VOC数据的相互比较,以及用三种独立技术(PTR-MS,质子转移 - 反应质谱法测量的衍生不确定度估计; GC-FID-MS,具有火焰电离和质量的气相色谱法光谱检测;和DNPH-HPLC,2,4-二硝基苯基肼衍生化,然后通过高效液相色谱分析)在常规监测期间作为2012年悉尼粒子研究(SPS)竞选的一部分。苯,甲苯,C8芳烃,异戊二烯,根据可用数据的客观选择标准选择甲醛和乙醛进行比较。为每个化合物和每个测量系统进行了自下而上的不确定性分析。通过比较互相量化自上而下的不确定性。在所有七个比较中,独立测量技术之间的相关性高,R2值高,中值为0.92(范围0.75-0.98),并且从回归线与a的观察结果的偏差(RMSD)的小均线平方0.11(范围0.04-0.23ppv)。这些结果给出了一种高度的信心,即每种比较两种独立技术的响应都是由相同的成分支配。由减小的长轴(RMA)回归确定的斜率和截距给出了一个不同的故事。斜坡随着1.25和1.16-2.01的中位数而变化。截距变化,中位数为0.04和一系列?0.03至0.31ppv。理想的比较将给出一个1.00的斜率和截距。通过自下而上的不确定分析方法确定了一些不确定的不确定源,包括:非目标化合物对靶化合物的测量的贡献对于苯,甲苯和异戊二烯,通过PTR-MS以及通过DNPH技术的甲醛,乙醛和丙酮的报告。除此之外,该研究已经确定了液体水与丙酮测量的特异性干扰通过DNPH技术。向悉尼2012年报道的这些关系被纳入了一个较大的分析,其与相同化合物的61种相似的公开相互作用研究。总的来说,对于轻芳烃,异戊二烯和C1-C3羰基,A的不确定性α测量设定的变化变化在1.5和2.这些不确定性(〜50%)之间比使用标准传播估计的不确定性在这种情况下的错误方法〜22%或更少,并且是存在不良或忽视测量的过程的结果和忽视的过程。在评估与个人独立仪器的常规监测的VOC测量的可靠性时,应考虑此处的VOC测量中识别的不确定性;在利用VOC数据约束和通知空气质量和气候模型;使用VOC观察人类曝光研究时;与卫星检索相比。

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