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Detection and emission estimates of NO_X sources over China North Plain using OMI observations

机译:利用OMI观测值对中国北部平原NO_X源的探测和排放估算

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摘要

We designed a fast procedure to detect the nitrogen oxides (NOx) sources in the China North Plain and to estimate their NOx emissions through a two-dimensional Gaussian fitting method applied to averaged Ozone Monitoring Instrument (OMI) observations of nitrogen dioxide (NO2) column concentration. The Northern China Plain is a region that has one of the highest densities of anthropogenic NOx sources in the world and therefore the sources are difficult to distinguish. With our procedure we still found 94 individual NOx emission sources. Of these sources Tangshan city has the strongest NOx emission rate (92 Gg N year(-1)), while the weakest that we are still able to detect is Zhangjiakou city, with a NOx emission rate of 0.4 Gg N year(-1). Using the fitting results, we reconstruct the NO2 column concentration distribution map, which matches the OMI observations with an R-2=0.85 and a slope of 0.78. The derived NOx emission rates for cities and provinces level show good agreement with former studies.
机译:我们设计了一种快速程序来检测中国北方平原的氮氧化物(NOx)来源,并通过将二维高斯拟合方法应用于二氧化氮(NO2)柱的平均臭氧监测仪器(OMI)观测值来估算其NOx排放量浓度。华北平原是世界上人为NOx排放源密度最高的地区,因此难以区分。通过我们的程序,我们仍然找到了94个单独的NOx排放源。在这些来源中,唐山市的NOx排放量最强(92 Gg N年(-1)),而我们仍能检测到的最弱的是张家口市,NOx排放量为0.4 Gg N年(-1)。 。使用拟合结果,我们重建NO2柱浓度分布图,该图与OMI观测值匹配,R-2 = 0.85,斜率0.78。得出的城市和省级的NOx排放率与以前的研究显示出很好的一致性。

著录项

  • 来源
    《International journal of remote sensing》 |2018年第10期|2847-2859|共13页
  • 作者单位

    Royal Netherlands Meteorol Inst KNMI, R&D Satellite Observat, Ga De Bilt, Netherlands;

    Royal Netherlands Meteorol Inst KNMI, R&D Satellite Observat, Ga De Bilt, Netherlands;

    Royal Netherlands Meteorol Inst KNMI, R&D Satellite Observat, Ga De Bilt, Netherlands;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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