Data of particulate nitro-aromatic compounds and other relevant parameters in eastern China

This dataset includes concentrations of eight nitro-aromatic compounds in fine particulate matters and trace gases, aerosol surface area density, meteorological data collected in different seasons at nine urban, rural and mountain sites in eastern China. They were inputted into the ensemble machine learning model and the receptor source apportionment model to obtain comprehensive understanding on the contributions of primary emission sources, secondary formation pathways, and meteorological conditions.

本数据集包含中国东部9个城市、农村及山地站点在不同季节采集的细颗粒物（fine particulate matters）与痕量气体（trace gases）中的8种硝基芳香族化合物（nitro-aromatic compounds）浓度、气溶胶表面积密度（aerosol surface area density）及气象数据。将上述数据输入集成机器学习模型（ensemble machine learning model）与受体源解析模型（receptor source apportionment model），可全面解析一次排放源、二次生成路径及气象条件的贡献。