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Journal of Geodesy and Geoinformation Science = Ce hui xue bao (Ying wen ban), 2020-12, Vol.3 (4), p.1
2020

Details

Autor(en) / Beteiligte
Titel
MAX-DOAS and OMI Measurements of Tropospheric NO2 and HCHO over Eastern China
Ist Teil von
  • Journal of Geodesy and Geoinformation Science = Ce hui xue bao (Ying wen ban), 2020-12, Vol.3 (4), p.1
Ort / Verlag
Beijing: Surveying and Mapping Press
Erscheinungsjahr
2020
Link zum Volltext
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
  • In this paper, we present long term observations of atmospheric nitrogen dioxide (NO2) and formaldehyde (HCHO) in Nanjing using a Multi-AXis Differential Optical Absorption Spectroscopy (MAX-DOAS) instrument. Ground based MAX-DOAS measurements were performed from April 2013 to February 2017. The MAX-DOAS measurements of NO2 and HCHO vertical column densities (VCDs) are used to validate OMI satellite observations over Nanjing. The comparison shows that the OMI observations of NO2 correlate well with the MAX-DOAS data with Pearson correlation coefficient (R) of 0.91. The comparison result of MAX-DOAS and OMI observations of HCHO VCD shows a good agreement with R of 0.75 and the slope of the regression line is 0.99. The age weighted backward propagation approach is applied to the MAX-DOAS measurements of NO2 and HCHO to reconstruct the spatial distribution of NO2 and HCHO over the Yangtze River Delta during summer and winter time. The reconstructed NO2 fields show a distinct agreement with OMI satellite observations. However, due to the short atmospheric lifetime of HCHO, the backward propagated HCHO data does not show a strong spatial correlation with the OMI HCHO observations. The result shows the MAX-DOAS measurements are sensitive to the air pollution transportation in the Yangtze River Delta, indicating the air quality in Nanjing is significantly influenced by regional transportation of air pollutants.
Sprache
Englisch
Identifikatoren
ISSN: 2096-5990
eISSN: 2096-1650
DOI: 10.11947/j.JGGS.2020.0401
Titel-ID: cdi_proquest_journals_2583115612

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