Abstract This study quantifies ammonia (NH3) emissions from biomass burning from 2005 to 2015 across the continental US (CONUS) and compares emissions from biomass burning with the US Environmental Protection Agency (EPA) National Emissions Inventory (NEI), the Fire Inventory from the National Center for Atmospheric Research (FINN) and the Global Fire Emissions Database (GFED). A statistical regression model was developed in order to predict NH3 emissions from biomass burning using a combination of fire properties and meteorological data. Satellite data were used to evaluate the annual fire strength and frequency as well as to calculate the total NH3 emissions across the CONUS. The results of this study showed the total fire number has decreased, while the total yearly burn area and the average fire radiative power has increased. The average annual NH3 emissions from biomass burning from this study, on a national scale, were approximately 5.4e8 ± 3.3e8 kg year−1. When comparing the results of this study with other emission inventories, it was found that ammonia emissions estimated by the NEI were approximately a factor of 1.3 lower than what was calculated in this study and a factor of 1.1 lower than what was modeled using the statistical regression model for 2010–2014. The calculated NH3 emissions from biomass burning were a factor of 5.9 and a factor of 13.1 higher than the emissions from FINN and the GFED, respectively. The modeled NH3 emissions from biomass burning were a factor of 5.0 and a factor of 11.1 higher than the emissions from FINN and the GFED, respectively. As the climate continues to change, the pattern (frequency, intensity and magnitude) of fires across the US will also change, leading to changes in NH3 emissions. The statistical regression model developed in this study will allow prediction of NH3 emissions associated with climate change.

中文翻译：

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美国大陆生物质燃烧产生的氨排放

摘要 本研究量化了 2005 年至 2015 年美国大陆 (CONUS) 生物质燃烧产生的氨 (NH3) 排放，并将生物质燃烧产生的排放与美国环境保护署 (EPA) 国家排放清单 (NEI)、来自美国的火灾清单进行比较。国家大气研究中心 (FINN) 和全球火灾排放数据库 (GFED)。开发了一个统计回归模型，以便结合使用火灾特性和气象数据来预测生物质燃烧产生的 NH3 排放。卫星数据用于评估年度火灾强度和频率，以及计算整个美国本土的 NH3 总排放量。研究结果表明，火灾总数有所减少，而年总燃烧面积和平均火灾辐射功率有所增加。在全国范围内，本研究中生物质燃烧产生的年均 NH3 排放量约为 5.4e8 ± 3.3e8 kg year−1。将本研究的结果与其他排放清单进行比较时，发现 NEI 估计的氨排放量比本研究中计算的值低约 1.3 倍，比使用统计回归建模的值低 1.1 倍2010-2014 年模型。计算得出的生物质燃烧产生的 NH3 排放量分别比 FINN 和 GFED 的排放量高 5.9 倍和 13.1 倍。来自生物质燃烧的模拟 NH3 排放量分别比 FINN 和 GFED 的排放量高 5.0 倍和 11.1 倍。随着气候的持续变化，模式（频率、美国各地火灾的强度和规模）也将发生变化，从而导致 NH3 排放量发生变化。本研究中开发的统计回归模型将允许预测与气候变化相关的 NH3 排放。