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首页> 外文期刊>Atmospheric Chemistry and Physics Discussions >Ozone deposition into a boreal forest over a decade of observations: evaluating deposition partitioning and driving variables
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Ozone deposition into a boreal forest over a decade of observations: evaluating deposition partitioning and driving variables

机译:在观测到的十年内臭氧沉积到北方森林中:评估沉积分区和驱动变量

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This study scrutinizes a decade-long series of ozone deposition measurements in a boreal forest in search for the signature and relevance of the different deposition processes. The canopy-level ozone flux measurements were analysed for deposition characteristics and partitioning into stomatal and non-stomatal fractions, with the main focus on growing season day-time data. Ten years of measurements enabled the analysis of ozone deposition variation at different time-scales, including daily to inter-annual variation as well as the dependence on environmental variables and concentration of biogenic volatile organic compounds (BVOC-s). Stomatal deposition was estimated by using multi-layer canopy dispersion and optimal stomatal control modelling from simultaneous carbon dioxide and water vapour flux measurements, non-stomatal was inferred as residual. Also, utilising the big-leaf assumption stomatal conductance was inferred from water vapour fluxes for dry canopy conditions. The total ozone deposition was highest during the peak growing season (4 mm s?1) and lowest during winter dormancy (1 mm s?1). During the course of the growing season the fraction of the non-stomatal deposition of ozone was determined to vary from 26 to 44% during day time, increasing from the start of the season until the end of the growing season. By using multi-variate analysis it was determined that day-time total ozone deposition was mainly driven by photosynthetic capacity of the canopy, vapour pressure deficit (VPD), photosynthetically active radiation and monoterpene concentration. The multi-variate linear model explained the high portion of ozone deposition variance on daily average level (R2 = 0.79). The explanatory power of the multi-variate model for ozone non-stomatal deposition was much lower (R2 = 0.38). The set of common environmental variables and terpene concentrations used in multivariate analysis were able to predict the observed average seasonal variation in total and non-stomatal deposition but failed to explain the inter-annual differences, suggesting that some still unknown mechanisms might be involved in determining the inter-annual variability. Model calculation was performed to evaluate the potential sink strength of the chemical reactions of ozone with sesquiterpenes in the canopy air space, which revealed that sesquiterpenes in typical amounts at the site were unlikely to cause significant ozone loss in canopy air space. The results clearly showed the importance of several non-stomatal removal mechanisms. Unknown chemical compounds or processes correlating with monoterpene concentrations, including potentially reactions at the surfaces, contribute to non-stomatal sink term.
机译:本研究审查了在北方林中的十年臭氧沉积测量系列,寻找不同沉积过程的签名和相关性。分析冠层级臭氧通量测量以进行沉积特性和分配成气孔和非气孔分数,主要关注生长季节日期数据。 10年的测量使不同时间尺度的臭氧沉积变化的分​​析能够分析,包括日常变异,以及对环境变量的依赖性和生物挥发性有机化合物(BVOC-S)的浓度。通过使用多层冠层分散和来自同时二氧化碳和水蒸气助量测量的最佳气孔控制模型来估算气孔沉积,因此被推断为残留物。此外,利用大叶假设气孔导度从水蒸气助熔剂中推断出干燥的冠层条件。在峰值生长季节(4mm S'1)期间,臭氧沉积总量最高,冬季休眠期间最低(1 mm S-1)。在生长季节过程中,臭氧的非气孔沉积的一部分确定在白天的26%至44%之间,从本赛季开始增加至生长季节的结束。通过使用多变型分析,确定日间总臭氧沉积主要由冠层的光合容量,蒸气压缺损(VPD),光合作用辐射和单萜浓度的光合容量驱动。多变型线性模型解释了每日平均水平的臭氧沉积方差的高部分(R2 = 0.79)。臭氧非气孔沉积多变化模型的解释性远低得多(R2 = 0.38)。多变量分析中使用的常见环境变量和萜烯浓度能够预测人们的观察到的总季节变异和非气孔沉积,但未能解释年间差异,这表明一些仍有未知的机制可能参与确定年间变异性。进行模型计算以评估臭氧化学反应的潜在沉降强度与冠复空气空间中的倍半萜烯,揭示现场典型量的倍半萜酮不太可能在冠层空间中引起显着的臭氧损失。结果清楚地表明了几种非气孔去除机制的重要性。未知的化学化合物或与单萜烯浓度相关的方法,包括在表面上的潜在反应,有助于非气孔沉降项。

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