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Modeling of the processing and removal of trace gas and aerosol species by Arctic radiation fogs and comparison with measurements

机译:通过北极辐射雾处理和去除痕量气体和气溶胶物种的模型,并与测量结果进行比较

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摘要

A Lagrangian radiation fog model is applied to a fog event at Summit, Greenland. The model simulates the formation and dissipation of fog. Included in the model are detailed gas and aqueous phase chemistry, and deposition of chemical species with fog droplets. Model predictions of the gas phase concentrations of H2O2, HCOOH, SO2, and HNO3 as well as the fog fluxes of S(VI), N(V), H2O2, and water are compared with measurements. The predicted fluxes of S(VI), N(V), H2O2, and fog water generally agree with measured values. Model results show that heterogeneous SO2 oxidation contributes to approximately 40% of the flux of S(VI) for the modeled fog event, with the other 60% coming from preexisting sulfate aerosol. The deposition of N(V) with fog includes contributions from HNO3 and NO2 initially present in the air mass. HNO3 directly partitions into the aqueous phase to create N(V), and NO2 forms N(V) through reaction with OH and the nighttime chemistry set of reactions which involves N2O5 and water vapor. PAN contributes to N(V) by gas phase decomposition to NO2, and also by direct aqueous phase decomposition. The quantitative contributions from each path are uncertain since direct measurements of PAN and NO2 are not available for the fog event. The relative contributions are discussed based on realistic ranges of atmospheric concentrations. Model results suggest that in addition to the aqueous phase partitioning of the initial HNO3 present in the air mass, the gas phase decomposition of PAN and subsequent reactions of NO2 with OH as well as nighttime nitrate chemistry may play significant roles in depositing N(V) with fog. If a quasi-liquid layer exists on snow crystals, it is possible that the reactions taking place in fog droplets also occur to some extent in clouds as well as at the snow surface.
机译:拉格朗日辐射雾模型适用于格陵兰郡峰会的雾活动。该模型模拟了雾的形成和耗散。该模型中包括详细的气体和水相化学,以及用雾滴沉积化学物质。与测量相比,将H 2 O 2,HCOOH,SO2和HNO3以及S(VI),N(V),H 2 O 2和水的雾通量的模型预测及其雾化助熔剂。预测的S(VI),N(V),H 2 O 2和雾水通常与测量值一致。模型结果表明,非均相SO2氧化有助于为模型的雾事件的S(VI)通量的约40%,其他60%来自预先存在的硫酸盐气溶胶。用雾沉积N(V)包括最初存在于空气质量中的HNO3和NO2的贡献。 HNO3直接分配到水相中以产生N(V),NO2通过与OH和夜间化学组成的反应形成N(V),所述反应涉及N2O5和水蒸气。平底锅通过气相分解导致N(v)对NO2,以及通过直接水相分解。由于PAN和NO2的直接测量不适用于雾事件,因此每个路径的定量贡献不确定。基于大气浓度的真实范围讨论了相对贡献。模型结果表明,除了在空气质量中存在的初始HNO3的水相分配,锅的气相分解和NO2的随后与OH以及夜间硝酸盐化学的反应可能在沉积N(V)中起显着的作用用雾。如果在雪晶体上存在准液体层,则可能在雾滴中发生的反应也可能在云层以及雪表面的某种程度上发生。

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