Department of Atmospheric, Oceanic and Earth Sciences, George Mason University, Fairfax, VA, 22030, USA.
Sci Data. 2022 Nov 9;9(1):680. doi: 10.1038/s41597-022-01790-9.
We present an unprecedented effort to map anthropogenic emissions of air pollutants at 1 km spatial resolution in the contiguous United States (CONUS). This new dataset, Neighborhood Emission Mapping Operation (NEMO), is produced at hourly intervals based on the United States Environmental Protection Agency (US EPA) National Emission Inventories 2017. Fine-scale spatial allocation was achieved through distributing the emission sources using 108 spatial surrogates, factors representing the portion of a source in each 1 km grid. Gaseous and particulate pollutants are speciated into model species for the Carbon Bond 6 chemical mechanism. All sources are grouped in 9 sectors and stored in NetCDF format for air quality models, and in shapefile format for GIS users and air quality managers. This dataset shows good consistency with the USEPA benchmark dataset, with a monthly difference in emissions less than 0.03% for any sector. NEMO provides the first 1 km mapping of air pollution over the CONUS, enabling new applications such as fine-scale air quality modeling, air pollution exposure assessment, and environmental justice studies.
我们首次以 1 公里的空间分辨率绘制了美国本土（CONUS）人为空气污染物排放图。这个新数据集名为 Neighborhood Emission Mapping Operation（NEMO），是基于美国环境保护署（US EPA）2017 年国家排放清单以每小时为间隔制作的。通过使用 108 个空间替代物将排放源分配到各个 1 公里网格中，实现了精细的空间分配，这些替代物代表了每个源在每个 1 公里网格中的部分。气态和颗粒污染物根据碳键 6 化学机制被分类为模型物质。所有的污染源都被分为 9 个行业，并以 NetCDF 格式存储，用于空气质量模型，以 shapefile 格式存储，供 GIS 用户和空气质量管理人员使用。该数据集与美国环保署的基准数据集具有很好的一致性，任何行业的排放月度差异都小于 0.03%。NEMO 提供了美国本土的首个 1 公里空气污染图，可用于空气质量模型、空气污染暴露评估和环境正义研究等新应用。
