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Estimation of the Paris NOx emissions from mobile MAX-DOAS observations and CHIMERE model simulations during the MEGAPOLI campaign using the closed integral method

机译:使用闭合积分法测定Megapoli广告系列中移动MAX-DOA观测和Chimere模型模拟的巴黎NOx排放

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We determined NOx emissions from Paris in summer 2009 and winter 2009/2010 by applying the closed integral method (CIM) to a large set of car multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements performed within the framework of the MEGAPOLI project (http://megapoli.dmi.dk/). MAX-DOAS measurements of the tropospheric NO2 vertical column density (VCD) were performed in large circles around Paris. From the combination of the observed NO2 VCDs with wind fields, the NO2 influx into and the outflux from the encircled area was determined. The difference between the influx and outflux represents the total emission. Compared to previous applications of the CIM, the large number of measurements during the MEGAPOLI campaign allowed the investigation of important aspects of the CIM. In particular, the applicability of the CIM under various atmospheric conditions could be tested. Another important advantage of the measurements during MEGAPOLI is that simultaneous atmospheric model simulations with a high spatial resolution (3?×?3?km2) are available for all days. Based on these model data, it was possible to test the consistency of the CIM and to derive information about favourable or non-favourable conditions for the application of the CIM. We found that in most situations the uncertainties and the variability in the wind data dominate the total error budget, which typically ranges between 30 and 50?%. Also, measurement gaps and uncertainties in the partitioning ratio between NO and NO2 are important error sources. Based on a consistency check, we deduced a set of criteria on whether measurement conditions are suitable or not for the application of the CIM. We also developed a method for the calculation of the total error budget of the derived NOx emissions. Typical errors are between ±30 and ±50?% for individual days (with one full circle around Paris). From the application of the CIM to car MAX-DOAS observations we derive daily average NOx emissions for Paris of 4.0??×??1025?molec?s?1 for summer and of 6.9??×??1025?molec?s?1 in winter. These values are a factor of about 1.4 and 2.0 larger than the corresponding emissions derived from the application of the CIM to the model data, using the Toegepast Natuurwetenschappelijk Onderzoek (TNO) MEGAPOLI emission inventory, in summer and winter, respectively. Similar ratios (1.5 and 2.3 for summer and winter, respectively) were found for the comparison with the Monitoring Atmospheric composition and climate III (MACC-III) emission inventory. The highest NOx emissions were found during some cold days in February. Enhanced domestic heating and a reduced conversion efficiency of catalytic converters might contribute to these enhanced NOx emissions.
机译:我们在2009年夏季和2009/2010年冬季确定了巴黎的NOx排放,通过将封闭的积分法(CIM)应用于Megapoli项目框架内进行的大型汽车多轴差分光学吸收光谱(MAX-DOA)测量(http://megapoli.dmi.dk/)。在巴黎周围的大圆圈中进行了对流层No2垂直柱密度(VCD)的MAX-DoAs测量。从观察到的No2 VCD与风场的组合,确定NO2流入和来自环绕区域的出源。涌入和outflux之间的差异代表了总排放。与先前的CIM应用相比,Megapoli运动期间的大量测量允许调查CIM的重要方面。特别是,可以测试CIM在各种大气条件下的适用性。 Megapoli期间测量的另一个重要优点是,所有日子都可以使用具有高空间分辨率(3?×3Ωmm2)的同时的大气模型模拟。基于这些模型数据,可以测试CIM的一致性,并导出关于CIM应用的有利或不利条件的信息。我们发现,在大多数情况下,风数据的不确定性和变异性占主导地位的总误差预算,通常在30到50?%之间。此外,NO和NO2之间的分区比中的测量间隙和不确定性是重要的误差源。基于一致性检查,我们推导了一组关于测量条件是否适合或不适合CIM的标准。我们还开发了一种计算派生NOx排放的总误差预算的方法。典型的误差为个体日的±30和±50?%(巴黎周围有一个完整的圆圈)。从CIM的应用到MAX-DOAS观测,我们派生了4.0×1025的每日平均NOx排放1025?SOM?1夏天和6.9 ??×1025?分子? 1在冬天。这些值是大约1.4和2.0的一个大约比将CIM应用于模型数据的相应排放量,分别在夏季和冬季使用Toegepast Natuurwetenschappelijk Onderzoek(TNO)Megapoli排放库存。发现与监测大气组合物和气候III(MACC-III)排放库存相比,发现类似的比率(分别为夏季和冬季的1.5和2.3)。 2月份在某些寒冷的日子里发现了最高的NOx排放。增强的国内供暖和催化转化器的转化效率降低可能有助于这些增强的NOx排放。

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