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Mics-asia Ii: An Inter-comparison Study Of Emission Inventories For The Japan Region

机译：Mics-asia Ii：日本地区排放清单的比较研究

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For the model intercomparison study, MICS Asia phase II, standard air pollutants emission data are provided from published research results (the TRACE-P data set) and other recent work. To provide preliminary information concerning the reliability of the standard emissions data, this inventory was compared with a local emission inventory, EAGrid2000-Japan, which has been developed for detailed analyses with fine grid data resolution for the Japan region. Although these inventories are based upon different estimation methodologies, from the comparative analyses it was found that regional emissions of the standard data are consistent, with differences smaller than 10% for SO_2, NO_x, NMVOC and CO_2, and smaller than 30% for CO and NH_3. Differences for all species are smaller than the 95% confidence intervals that were estimated in the research that produced the standard emissions data. Additional information is provided regarding emissions of PM_(10) and PM_(2.5), although these did not originate in the TRACE-P data. Furthermore, it was found that the 0.5° × 0.5° grid-based emissions from the two inventories match well for NO_x, NMVOC, CO, and PM_(2.5), even though the spatial allocation techniques for the local inventory are much more detailed. For SO_2 emissions, the differences in the grid-based inventories are greater. Although some problems still remain, such as diurnal variations that are not considered in the standard emissions data, the intercomparison analysis suggests that the standard emissions data have appropriate properties for atmospheric model simulation.
机译：对于模型比较研究（MICS亚洲第二阶段），标准空气污染物排放数据来自已发表的研究结果（TRACE-P数据集）和其他近期工作。为了提供有关标准排放数据可靠性的初步信息，将该清单与本地排放清单EAGrid2000-Japan进行了比较，EAGrid2000-Japan已针对日本区域进行了详细分析，并具有精细的网格数据分辨率。尽管这些清单基于不同的估算方法，但从比较分析中发现，标准数据的区域排放是一致的，SO_2，NO_x，NMVOC和CO_2的差异小于10％，CO和CO2的差异小于30％。 NH_3。所有物种的差异均小于产生标准排放数据的研究中估计的95％置信区间。提供了有关PM_（10）和PM_（2.5）排放的附加信息，尽管这些排放并非源自TRACE-P数据。此外，我们发现，尽管针对本地清单的空间分配技术更为详细，但来自两个清单的基于0.5°×0.5°网格的排放量与NO_x，NMVOC，CO和PM_（2.5）匹配得很好。对于SO_2排放，基于网格的清单中的差异更大。尽管仍然存在一些问题，例如标准排放数据中未考虑日变化，但比对分析表明标准排放数据具有适合大气模型模拟的属性。

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