首页> 外文会议>Third International Conference on Urban Air Quality - Measurement, Modeling and Management Mar 19-23, 2001 Loutraki, Greece >A SENSITIVITY ANALYSIS OF OZONE FORMATION TO AMBIENT AIR COMPOSITION BY MEANS OF PHOTOCHEMICAL MODELS
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A SENSITIVITY ANALYSIS OF OZONE FORMATION TO AMBIENT AIR COMPOSITION BY MEANS OF PHOTOCHEMICAL MODELS

机译:用光化学模型对臭氧形成对空气组成的敏感性分析。

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The prediction of the atmospheric concentration of ozone and of other photochemical pollutants represents one of the major scientific challenges in the study of urban air qualify. To this aim, photochemical models are widely applied as support tools for regulatory purposes, but their results are known to be affected by several uncertainties, in boundary conditions, geographical and meteorological data and the chemical composition of emission and ambient air as well. Also the mechanism selected to describe the urban chemistry may lead to large differences in the model results. In this work, the influence of ambient air composition on the results of photochemical model has been studied using a simple Lagrangian trajectory model coupled with different chemical submodels (CB-IV and a simplified version of EMEP). To this aim a parametric sensitivity study of ozone with respect to its precursors' concentration was performed with reference to the same meteorological conditions and by simulating different scenarios characterized by specific emitted pollutants concentration. Rather than analyzing sensitivity by changing initial composition, an analytical local sensitivity concept has been applied; this allowed evaluation the influence of initial concentration on the predicted ozone concentration and to discriminate between VOC-sensitive and NOx-sensitive kinetic regimes. Finally, these results have been successfully compared with those obtained applying the concept of photochemical indicators (i.e. O_3/NOy and H_2O_2/HNO_3 ratios).
机译:大气中臭氧和其他光化学污染物的浓度预测是研究城市空气质量的主要科学挑战之一。为此,光化学模型被广泛用作监管目的的支持工具,但众所周知,其结果受边界条件,地理和气象数据以及排放物和周围空气的化学成分等几个不确定性的影响。同样,选择用来描述城市化学的机制也可能导致模型结果的巨大差异。在这项工作中,已使用简单的拉格朗日轨迹模型与不同的化学子模型(CB-IV和EMEP的简化版本)一起研究了环境空气成分对光化学模型结果的影响。为此,参照相同的气象条件并通过模拟以特定排放污染物浓度为特征的不同情景,对臭氧相对于其前体浓度进行了参数敏感性研究。而不是通过更改初始成分来分析灵敏度,而是应用了分析局部灵敏度概念。这可以评估初始浓度对预测臭氧浓度的影响,并可以区分VOC敏感和NOx敏感的动力学机制。最后,这些结果已成功地与采用光化学指示剂(即O_3 / NOy和H_2O_2 / HNO_3的比率)概念获得的结果进行了比较。

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