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Elucidating the pollution characteristics of nitrate, sulfate and ammonium in PM2.5 in Chengdu, southwest China, based on 3-year measurements

机译:基于3年的测量,阐明了在中国西南成都市成都市成都PM2.5中硝酸盐,硫酸盐和铵的污染特征

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Nitrate, sulfate and ammonium (NSA) are the main secondary inorganic aerosols of PM2.5 and play an important role in air pollution. In this study, a 3-year observational experiment was conducted from 1?January 2015 to 31?December 2017, in Chengdu, southwest China. NSA pollution characteristics, chemical conversion generation, emission reduction control sensitivity and pollutant regional transport characteristics were analyzed. NSA are the most important chemical compositions of particles with aerodynamic equivalent diameter ≤2.5?μm in ambient air (PM2.5), and the contribution of nitrate to the accumulation of PM2.5 concentration is greater than that of sulfate and ammonium. NSA also have obvious characteristics of annual, monthly, seasonal, diurnal and weekly variations. Through observation data and model simulation, it was also found that the existence of an aerosol aqueous environment plays an important role in the formation and existence of NSA. Sensitivity analysis between NSA found that controlling NO3- and SO42- plays an important role in reducing the contribution of NSA to PM2.5, which also implies that the current control of NOx and SO2 is important for improving air pollution. Combined with meteorological conditions and potential source contribution function (PSCF) analysis, local emissions and regional emissions of pollutants are found to have important impacts on Chengdu's atmospheric environment. This research result not only provides an assessment of the current atmospheric emission reduction effect but also provides an important reference for atmospheric pollution control.
机译:硝酸盐,硫酸盐和铵(NSA)是PM2.5的主要二次无机气溶胶,在空气污染中起重要作用。在这项研究中,3年的观察实验从1年1月到31日到31人进行,2017年12月,在中国西南成都。分析了NSA污染特性,化学转化生成,减排控制敏感性和污染物区域传输特性。 NSA是空气动力学等效直径≤2.5Ω·μm的最重要的化学成分在环境空气(PM2.5)中,硝酸盐与PM2.5浓度的积累的贡献大于硫酸盐和铵的贡献。 NSA还具有明显的年度,每月,季节性,昼夜和每周变异特征。通过观察数据和模型模拟,还发现气溶胶含水环境的存在在NSA的形成和存在中起着重要作用。 NSA之间的敏感性分析发现控制No3和SO42-在降低NSA对PM2.5的贡献中起重要作用,这也意味着NOx和SO2的目前控制对于改善空气污染是重要的。结合气象条件和潜在的源贡献函数(PSCF)分析,发现污染物的地方排放和区域排放对成都的大气环境产生重要影响。该研究结果不仅提供了对当前的大气排放减排效果的评估,而且为大气污染控制提供了重要参考。

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