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首页> 外文期刊>Atmospheric environment >VOC emissions from Norway spruce (Picea abies L. [Karst]) twigs in the field—Results of a dynamic enclosure study
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VOC emissions from Norway spruce (Picea abies L. [Karst]) twigs in the field—Results of a dynamic enclosure study

机译:挪威云杉(Picea abies L. [Karst])树枝上的VOC排放量—动态围护研究的结果

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During the 2002 summer intensive field campaign of BEWA2000 a proton-transfer-reaction mass spectrometer (PTR-MS) was used for online determination of volatile organic compounds (VOC) emitted by Norway spruce (Picea abies L. [Karst]) twigs in a dynamic sampling enclosure. Emissions of isoprenoids (isoprene and monoterpenes) and oxygenated VOC (OVOC; acetaldehyde, acetone, methanol, and ethanol) were investigated. Emissions showed clear diurnal patterns with high daytime emission rates amounting to 1.8 μg Cg~(-1) dwt h~(-1) for the sum of monoterpenes and in the range of 0.1 to 0.6 μg Cg~(-1) dwt h~(-1) for isoprene > acetone > ethanol > methanol. Data were used to validate existing models on isoprene and monoterpene emissions and to discuss environmental and physiological factors affecting VOC emissions. Isoprene and acetaldehyde emission rates were best modelled applying the Guenther 1993 temperature and solar radiation algorithm. Emissions of monoterpenes, acetone and ethanol were best described by a temperature-only exponential algorithm. Using these model approaches a maximum emission variability of 66% was covered (isoprene). Poor r~2 values ranging from 0.15 to 0.42 were typical for oxygenated VOC emission modelling indicating the need for model improvement e.g. development of process-based models describing the emission as a result of biochemical de novo synthesis as well as physico-chemical transport properties inside the leaves.
机译:在2002年BEWA2000夏季密集野战中,质子转移反应质谱仪(PTR-MS)用于在线测定挪威云杉(Picea abies L. [Karst])树枝中的云杉排放的挥发性有机化合物(VOC)。动态采样机箱。研究了类异戊二烯(异戊二烯和单萜)和氧化VOC(OVOC;乙醛,丙酮,甲醇和乙醇)的排放。排放显示出清晰的昼夜模式,白天的排放率很高,单萜类化合物的总量为1.8μgCg〜(-1)dwt h〜(-1),范围为0.1至0.6μgCg〜(-1)dwt h〜。 (-1)对于异戊二烯>丙酮>乙醇>甲醇。数据用于验证关于异戊二烯和单萜排放的现有模型,并讨论影响VOC排放的环境和生理因素。异戊二烯和乙醛的排放速率最好用Guenther 1993年的温度和太阳辐射算法模拟。用仅温度指数算法可以最好地描述单萜,丙酮和乙醇的排放。使用这些模型方法,可以覆盖66%(异戊二烯)的最大排放可变性。对于含氧VOC排放建模,r〜2值通常在0.15至0.42之间,这通常很差,这表明需要改进模型,例如:基于过程的模型的开发,这些模型描述了生物化学从头合成产生的排放以及叶片内部的物理化学传输特性。

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