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Gas and aerosol carbon in California: comparison of measurements and model predictions in Pasadena and Bakersfield

机译:加利福尼亚州的天然气和气溶胶碳:帕萨迪纳和贝克斯菲尔德的测量和模型预测比较

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Co-located measurements of fine particulate matter (PM2.5) organic carbon (OC), elemental carbon, radiocarbon (14C), speciated volatile organic compounds (VOCs), and OH radicals during the CalNex field campaign provide a unique opportunity to evaluate the Community Multiscale Air Quality (CMAQ) model's representation of organic species from VOCs to particles. Episode average daily 23 h average 14C analysis indicates PM2.5 carbon at Pasadena and Bakersfield during the CalNex field campaign was evenly split between contemporary and fossil origins. CMAQ predicts a higher contemporary carbon fraction than indicated by the 14C analysis at both locations. The model underestimates measured PM2.5 organic carbon at both sites with very little (7% in Pasadena) of the modeled mass represented by secondary production, which contrasts with the ambient-based SOC / OC fraction of 63% at Pasadena. Measurements and predictions of gas-phase anthropogenic species, such as toluene and xylenes, are generally within a factor of 2, but the corresponding SOC tracer (2,3-dihydroxy-4-oxo-pentanoic acid) is systematically underpredicted by more than a factor of 2. Monoterpene VOCs and SOCs are underestimated at both sites. Isoprene is underestimated at Pasadena and overpredicted at Bakersfield and isoprene SOC mass is underestimated at both sites. Systematic model underestimates in SOC mass coupled with reasonable skill (typically within a factor of 2) in predicting hydroxyl radical and VOC gas-phase precursors suggest error(s) in the parameterization of semivolatile gases to form SOC. Yield values () applied to semivolatile partitioning species were increased by a factor of 4 in CMAQ for a sensitivity simulation, taking into account recent findings of underestimated yields in chamber experiments due to gas wall losses. This sensitivity resulted in improved model performance for PM2.5 organic carbon at both field study locations and at routine monitor network sites in California. Modeled percent secondary contribution (22% at Pasadena) becomes closer to ambient-based estimates but still contains a higher primary fraction than observed.
机译:共同定位测量细颗粒物质(PM2.5)有机碳(OC),元素碳,无碳碳(14C),所指的挥发性有机化合物(VOC),以及Calnex Field Campaign期间的oh自由基提供了评估的独特机会社区多尺度空气质量(CMAQ)模型从VOCS到颗粒的有机物种的表示。第23章平均每日23小时平均14C分析表明了帕萨迪纳和贝克斯菲尔德在Calnex Field运动期间PM2.5碳在当代和化石起源之间均匀分裂。 CMAQ预测了较高的当代碳馏分,而不是两个位置的14C分析所示。该模型低估了由二次生产所代表的模型质量的模型质量的两个位点测量PM2.5有机碳,其与帕萨迪纳的基于环境的SoC / OC分数相比。气相性促进物种(例如甲苯和二甲苯)的测量和预测通常在2的因子范围内,但相应的SoC示踪剂(2,3-二羟基-4-氧代戊酸)系统地低于a两个站点都低估了单点VOC和SOC。异戊二烯在帕萨迪纳低估,在Bakersfield和异戊二烯Soc质量在两个地方低估了。在预测羟基自由基和VOC气相前体中,系统模型耦合的SOC质量(通常在2倍)中,在半升气体的参数化中提出误差以形成SOC。在CMAQ施加到半脉湿性分配物种的产量值()在CMAQ中增加了敏感性模拟的4倍,考虑了由于气体壁损失引起的腔室实验中低估产量的最新结果。这种敏感性导致在加利福尼亚州的常规监视器网络站点的PM2.5有机碳的模型性能提高。建模的二级贡献(Pasadena)的百分比(22%)变得更接近环境基于环境的估计,但仍然含有比观察到的初级分数。
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