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The role of plume-scale processes in long-term impacts of aircraft emissions

机译:羽毛尺度过程在飞机排放的长期影响中的作用

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Emissions from aircraft engines contribute to atmospheric NOx, driving changes in both the climate and in surface air quality. Existing atmospheric models typically assume instant dilution of emissions into large-scale grid cells, neglecting non-linear, small-scale processes occurring in aircraft wakes. They also do not explicitly simulate the formation of ice crystals, which could drive local chemical processing. This assumption may lead to errors in estimates of aircraft-attributable ozone production, and in turn to biased estimates of aviation's current impacts on the atmosphere and the effect of future changes in emissions. This includes black carbon emissions, on which contrail ice forms. These emissions are expected to reduce as biofuel usage increases, but their chemical effects are not well captured by existing models. To address this problem, we develop a Lagrangian model that explicitly models the chemical and microphysical evolution of an aircraft plume. It includes a unified tropospheric–stratospheric chemical mechanism that incorporates heterogeneous chemistry on background and aircraft-induced aerosols. Microphysical processes are also simulated, including the formation, persistence, and chemical influence of contrails. The plume model is used to quantify how the long-term (24h) atmospheric chemical response to an aircraft plume varies in response to different environmental conditions, engine characteristics, and fuel properties. We find that an instant-dilution model consistently overestimates ozone production compared to the plume model, up to a maximum error of ~200% at cruise altitudes. Instant dilution of emissions also underestimates the fraction of remaining NOx, although the magnitude and sign of the error vary with season, altitude, and latitude. We also quantify how changes in black carbon emissions affect plume behavior. Our results suggest that a 50% reduction in black carbon emissions, as may be possible through blending with certain biofuels, may lead to thinner, shorter-lived contrails. For the cases that we modeled, these contrails sublimate ~5% to 15% sooner and are 10% to 22% optically thinner. The conversion of emitted NOx to HNO3 and N2O5 falls by 16% and 33%, respectively, resulting in chemical feedbacks that are not resolved by instant-dilution approaches. The persistent discrepancies between results from the instant-dilution approach and from the aircraft plume model demonstrate that a parameterization of effective emission indices should be incorporated into 3-D atmospheric chemistry transport models.
机译:飞机发动机的排放有助于大气NOx,推动气候和地表空气质量的变化。现有的大气模型通常假设瞬间稀释排放到大型网格细胞,忽略飞机唤醒中发生的非线性,小规模过程。它们还没有明确模拟冰晶的形成,这可能推动局部化学加工。这种假设可能导致飞机应造成臭氧生产估计的错误,反过来又向偏见的航空目前对大气影响的影响以及未来排放变化的影响。这包括黑色碳排放,在其上有凝结冰形式。随着生物燃料的使用增加,这些排放将减少,但它们的化学效果并不是通过现有模型捕获的。为了解决这个问题,我们开发了一个拉格朗日模型,明确地模拟了飞机羽流的化学和微专业演进。它包括一个统一的对流层 - 平流层化学机制,包括在背景和飞机诱导的气溶胶上的异质化学。还模拟了微微物理过程,包括对轨迹的形成,持久性和化学影响。羽流模型用于量化对飞机羽流的长期(24h)大气化学响应如何响应于不同的环境条件,发动机特性和燃料特性而变化。我们发现,与羽流模型相比,即时稀释模型始终如一地高估臭氧生产,最高速度在巡航海拔地区的最大误差〜200%。排放的即时稀释也低估了剩余NOx的一部分,尽管错误的幅度和标志随季节,高度和纬度而变化。我们还规定了黑碳排放的变化如何影响羽毛行为。我们的研究结果表明,通过与某些生物燃料混合,可以降低50%的黑碳排放,可能导致较薄,较短的凝结尾。对于我们建模的案例,这些对手升级〜5%至15%越早,而且光学稀释剂10%至22%。发射的NOx至HNO3和N2O5的转化分别下降了16%和33%,导致即时稀释方法未解决的化学反馈。来自即时稀释方法和飞机羽流模型的结果之间的持续差异表明了有效排放指数的参数化应纳入3-D大气化学输送模型。

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