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首页> 外文期刊>Atmospheric Chemistry and Physics Discussions >High-resolution hybrid inversion of IASI ammonia columns to constrain US ammonia emissions using the CMAQ adjoint model
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High-resolution hybrid inversion of IASI ammonia columns to constrain US ammonia emissions using the CMAQ adjoint model

机译:IASI氨列的高分辨率混合反演,用CMAQ伴随模型约束美国氨排放量

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Ammonia (NH 3 ) emissions have large impacts on air quality and nitrogen deposition, influencing human health and the well-being of sensitive ecosystems. Large uncertainties exist in the “bottom-up” NH 3 emission inventories due to limited source information and a historical lack of measurements, hindering the assessment of NH 3 -related environmental impacts. The increasing capability of satellites to measure NH 3 abundance and the development of modeling tools enable us to better constrain NH 3 emission estimates at high spatial resolution. In this study, we constrain the NH 3 emission estimates from the widely used 2011 National Emissions Inventory (2011 NEI) in the US using Infrared Atmospheric Sounding Interferometer NH 3 column density measurements (IASI-NH 3 ) gridded at a 36?km by 36?km horizontal resolution. With a hybrid inverse modeling approach, we use the Community Multiscale Air Quality Modeling System (CMAQ) and its multiphase adjoint model to optimize NH 3 emission estimates in April, July, and October. Our optimized emission estimates suggest that the total NH 3 emissions are biased low by 26?% in 2011 NEI in April with overestimation in the Midwest and underestimation in the Southern States. In July and October, the estimates from NEI agree well with the optimized emission estimates, despite a low bias in hotspot regions. Evaluation of the inversion performance using independent observations shows reduced underestimation in simulated ambient NH 3 concentration in all 3 months and reduced underestimation in NH 4 + wet deposition in April. Implementing the optimized NH 3 emission estimates improves the model performance in simulating PM 2.5 concentration in the Midwest in April. The model results suggest that the estimated contribution of ammonium nitrate would be biased high in a?priori NEI-based assessments. The higher emission estimates in this study also imply a higher ecological impact of nitrogen deposition originating from NH 3 emissions.
机译:氨(NH 3)排放对空气质量和氮气沉积产生大的影响,影响人类健康和敏感生态系统的福祉。由于有限的源信息和历史缺乏测量,“自下而上”NH 3排放清单中存在大的不确定性,阻碍了对NH 3重相关的环境影响的评估。卫星测量NH 3丰度的越来越高的能力和建模工具的开发使我们能够在高空间分辨率下更好地限制NH 3排放估计。在这项研究中,我们使用红外大气探测干涉仪NH 3柱密度测量(IASI-NH 3)在36 km 36 km 36 ?KM水平分辨率。通过混合逆建模方法,我们使用社区多尺度空气质量建模系统(CMAQ)及其多相伴随模型来优化NH 3七月,七月和十月的排放估计。我们的优化排放估计表明,2011年4月在2011年的NEI中偏向了26次,在南部国家中西部和低估的高估增长率下降了26次。尽管热点地区偏差低,但NEI的估计与优化的排放估计数很好。使用独立观察的反转性能评价显示在所有3个月内模拟环境NH 3浓度的低估减少,并在4月份在NH 4 +湿沉积中减少了低估。实施优化的NH 3排放估计可以提高4月中西部模拟PM 2.5浓度的模型性能。模型结果表明,硝酸铵的估计贡献将在a先验的基于Nei的评估中偏见。本研究中的较高排放估计也暗示源自NH 3排放的氮沉积的更高生态影响。

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