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Assessing London CO2, CH4 and CO emissions using aircraft measurements and dispersion modelling

机译:使用飞机测量和分散模拟评估伦敦二氧化碳,CH4和CO排放量

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We present a new modelling approach for assessing atmospheric emissions from a city, using an aircraft measurement sampling strategy similar to that employed by previous mass balance studies. Unlike conventional mass balance methods, our approach does not assume that city-scale emissions are confined to a well-defined urban area and that peri-urban emissions are negligible. We apply our new approach to a case study conducted in March 2016, investigating CO, CH4 and CO2 emissions from a region focussed around Greater London using aircraft sampling of the downwind plume. For each species, we simulate the flux per unit area that would be observed at the aircraft sampling locations based on emissions from the UK national inventory, transported using a Lagrangian dispersion model. To reconcile this simulation with the measured flux per unit area, assuming the transport model is not biased, we require that inventory values of CO, CH4 and CO2 are scaled by 1.03, 0.71 and 1.61, respectively. However, our result for CO2 should not be considered a direct comparison with the inventory which only includes anthropogenic fluxes. For comparison, we also calculate fluxes using a conventional mass balance approach and compare these to the emissions inventory aggregated over the Greater London area. Using this method we derive much higher inventory scale factors for all three gases, as a direct consequence of the failure to account for emissions outside the Greater London boundary. That substantially different conclusions are drawn using the conventional mass balance method demonstrates the danger of using this technique for cities whose emissions cannot be separated from significant surrounding sources.
机译:我们展示了一种新的建模方法,用于评估城市大气排放,使用与以前的大规模余额研究相似的飞机测量采样策略。与传统的质量平衡方法不同,我们的方法不认为城市规模的排放被限制在一个明确的城市地区,并且围城排放都可以忽略不计。我们将新方法应用于2016年3月进行的案例研究,调查来​​自伦敦围绕大伦敦的区域的CO,CH4和二氧化碳排放,使用了向前羽流的飞机采样。对于每种物种,我们模拟了根据英国国家库存的排放在飞机采样位置观察到的每单位面积的通量,使用拉格朗日分散模型运输。为了使该模拟与每单位面积的测量磁通量进行调整,假设传输模型没有偏置,我们要求CO,CH4和CO2的库存值分别由1.03,0.71和1.61缩放。但是,我们的CO2的结果不应被视为与库存的直接比较,该库存只包括人为助体。为了比较,我们还使用传统的质量平衡方法计算助熔剂,并将这些通量与大伦敦地区聚集在一起。使用这种方法,我们为所有三种气体推导出更高的库存规模因素,作为未能考虑大伦敦边界之外的排放的直接后果。使用常规质量平衡法绘制了基本上不同的结论,证明了使用该技术对城市的排放不能与重要的周围来源分离的危险。

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