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Estimations of isoprenoid emission capacity from enclosure studies: measurements, data processing, quality and standardized measurement protocols

机译:通过封闭研究估算类异戊二烯的排放能力:测量,数据处理,质量和标准化测量方案

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摘要

The capacity for volatile isoprenoid production under standardized environmental conditions at a certain time (Es, the emission factor) is a key characteristic in con-structing isoprenoid emission inventories. However, there is large variation in published E5 estimates for any given species partly driven by dynamic modifications in E5 due to acclimation and stress responses. Here we review additional sources of variation in Es estimates that are due to measure-ment and analytical techniques and calculation and averag-ing procedures, and demonstrate that estimations of Es crit-ically depend on applied experimental protocols and on data processing and reporting. A great variety of experimental setups has been used in the past, contributing to study-to-study variations in Es estimates. We suggest that past experimental data should be distributed into broad quality classes depending on whether the data can or cannot be considered quantitative based on rigorous experimental standards. Apart from analytical issues, the accuracy of E5values is strongly driven by extrapolation and integration errors introduced during data processing. Additional sources of error, especially in meta-database construction, can further arise from inconsistent use of units and expression bases of Es. We propose a standardized experimental protocol for BVOC estimations and highlight basic meta-information that we strongly recommend to report with any E5 measurement. We conclude that standardization of experimental and calculation protocols and critical examination of past reports is essential for development of accurate emission factor databases.
机译:在标准化的环境条件下,在一定时间段内的挥发性类异戊二烯生产能力(Es,排放因子)是构建类异戊二烯排放清单的关键特征。但是,对于任何给定的物种,已发布的E5估计值会有很大的差异,部分原因是由于环境适应和压力响应,E5的动态修改。在这里,我们回顾了由于测量和分析技术以及计算和平均程序而导致的Es估计值变化的其他来源,并证明了Es估计值关键取决于所应用的实验协议以及数据处理和报告。过去已经使用了各种各样的实验装置,这导致Es估计的研究之间差异。我们建议,根据严格的实验标准,根据数据是否可以量化,将过去的实验数据分配到广泛的质量类别中。除了分析问题外,E5值的准确性还受到数据处理过程中引入的外推和积分误差的影响。错误的其他来源,尤其是在元数据库的构建中,还可能由于Es的单位和表达库使用不一致而引起。我们提出了用于BVOC估算的标准化实验协议,并着重强调了我们强烈建议与任何E5测量一起报告的基本元信息。我们得出结论,实验和计算协议的标准化以及对过去报告的严格检查对于开发精确的排放因子数据库至关重要。

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