Hörtnagl Lukas, Clement Robert, Graus Martin, Hammerle Albin, Hansel Armin, Wohlfahrt Georg
Institut für Ökologie, Universität Innsbruck, Sternwartestr. 15, 6020 Innsbruck, Austria.
Atmos Environ (1994). 2010 May 1;44(16):2024-32. doi: 10.1016/j.atmosenv.2010.02.042.
Using proton transfer reaction mass spectrometry equipped with a quadrupol mass analyser to quantify the biosphere-atmosphere exchange of volatile organic compounds (VOC), concentrations of different VOC are measured sequentially. Depending on how many VOC species are targeted and their respective integration times, each VOC is measured at repeat rates on the order of a few seconds. This represents an order of magnitude longer sample interval compared to the standard eddy covariance (EC) method (5-20 Hz sampling rates). Here we simulate the effect of disjunct sampling on EC flux estimates by decreasing the time resolution of CO and HO concentrations measured at 20 Hz above a temperate mountain grassland in the Austrian Alps. Fluxes for one month are calculated with the standard EC method and compared to fluxes calculated based on the disjunct data (1, 3 and 5 s sampling rates) using the following approaches: i) imputation of missing concentrations based on the nearest neighbouring samples (iDEC), ii) imputation by linear interpolation (iDEC), and iii) virtual disjunct EC (vDEC), i.e. flux calculation based solely on the disjunct concentrations. It is shown that the two imputation methods result in additional low-pass filtering, longer lag times (as determined with the maximum cross-correlation method) and a flux loss of 3-30 % as compared to the standard EC method. A novel procedure, based on a transfer function approach, which specifically corrects for the effect of data treatment, was developed, resulting in improved correspondence (to within 2 %). The vDEC method yields fluxes which approximate the true (20 Hz) fluxes to within 3-7 % and it is this approach we recommend because it involves no additional empirical corrections. The only drawback of the vDEC method is the noisy nature of the cross-correlations, which poses problems with lag determination - practical approaches to overcome this limitation are discussed.
使用配备四极质谱分析仪的质子转移反应质谱法来量化挥发性有机化合物(VOC)的生物圈 - 大气交换,不同VOC的浓度是依次测量的。根据目标VOC种类的数量及其各自的积分时间,每种VOC以几秒的重复率进行测量。与标准涡度协方差(EC)方法(5 - 20 Hz采样率)相比,这代表了一个长一个数量级的采样间隔。在这里,我们通过降低在奥地利阿尔卑斯山温带山地草原上方以20 Hz测量的CO和HO浓度的时间分辨率,来模拟间断采样对EC通量估计的影响。使用标准EC方法计算一个月的通量,并与基于间断数据(1、3和5 s采样率)使用以下方法计算的通量进行比较:i)基于最近邻样本插补缺失浓度(iDEC),ii)线性插值插补(iDEC),以及iii)虚拟间断EC(vDEC),即仅基于间断浓度计算通量。结果表明,与标准EC方法相比,这两种插补方法会导致额外的低通滤波、更长的滞后时间(通过最大互相关方法确定)以及3 - 30%的通量损失。开发了一种基于传递函数方法的新程序,该程序专门校正数据处理的影响,从而使对应性得到改善(在2%以内)。vDEC方法产生的通量与真实(20 Hz)通量的近似程度在3 - 7%以内,我们推荐这种方法,因为它不需要额外的经验校正。vDEC方法的唯一缺点是互相关的噪声性质,这在滞后确定方面带来问题 - 讨论了克服这一限制的实际方法。