Emission inventory development and processing for the Seasonal Model for Regional Air Quality (SMRAQ) project
Emission inventory development and processing for the Seasonal Model for Regional Air Quality (SMRAQ) project
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DOI：
10.1029/1999jd900975
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发表时间：
2000-04-16
影响因子：
4.4
通讯作者：
Kasibhatla, PS
中科院分区：
文献类型：
--
作者：
Houyoux, MR;Vukovich, JM;Kasibhatla, PS
本文介绍了区域空气质量季节模型（SMRAQ）项目的清单准备和排放处理的经验和见解。排放清单来自1990年和1995年臭氧迁移评估小组的清单。在这里，我们概述了用于5月至9月模拟的排放处理策略，总结了清单特征和对OTAG清单的修正，并描述了作为处理的一部分所采取的质量保证步骤。然后，我们提供空间地图和每日总时间序列图表的每小时，网格化的氮氧化物（NOx），活性有机气体（ROG）和一氧化碳（CO）的排放量。大峰值来自电力设施点源和城市移动的源的NOx排放的特点，和NOx的排放在非峰值区域主要是移动源的排放。ROG排放量主要由美国南部的生物异戊二烯生产所决定，并且具有很强的季节性变化。CO排放的特点是变异性较小，区域和移动的排放源在清单中占主导地位。我们比较的排放清单和光化学评估监测站（PAMS）的数据之间的季节平均非甲烷有机气体氮氧化物的比率，这些比较显示库存和环境比之间的相关性差。
This paper describes the experiences and insights gained from inventory preparation and emissions processing for the Seasonal Model for Regional Air Quality (SMRAQ) project. The emission inventory was derived from the 1990 and 1995 Ozone Transport Assessment Group (OTAG) inventories. Here we outline the emissions processing strategy used for the May-to-September simulation, summarize the inventory characteristics and corrections made on the OTAG inventories, and describe the quality assurance steps taken as part of the processing. We then provide spatial maps and daily total time series charts of the hourly, gridded emissions of nitrogen oxides (NOx), reactive organic gases (ROG), and carbon monoxide (CO). Large peaks from electric utility point sources and urban mobile sources characterize the NOx emissions, and the NOx emissions in nonpeak regions are primarily mobile-source emissions. ROG emissions are dominated by biogenic isoprene production in the southern United States, and they have a strong seasonal variability. CO emissions are characterized by less variability, with area and mobile sources dominating the inventory. We compare ratios of season-average nonmethane organic gases to NOx between the emission inventory and the Photochemical Assessment Monitoring Stations (PAMS) data, and these comparisons show poor correlation between the inventory and ambient ratios.