Articles | Volume 14, issue 8
Atmos. Meas. Tech., 14, 5333–5347, 2021
https://doi.org/10.5194/amt-14-5333-2021
Atmos. Meas. Tech., 14, 5333–5347, 2021
https://doi.org/10.5194/amt-14-5333-2021

Research article 04 Aug 2021

Research article | 04 Aug 2021

Estimation of PM2.5 concentration in China using linear hybrid machine learning model

Zhihao Song et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-64', Anonymous Referee #1, 10 May 2021
    • AC1: 'Reply on RC1', Zhihao Song, 09 Jun 2021
    • AC4: 'Reply on RC1', Zhihao Song, 09 Jun 2021
  • RC2: 'Comment on amt-2021-64', Anonymous Referee #2, 21 May 2021
    • AC2: 'Reply on RC2', Zhihao Song, 09 Jun 2021
    • AC5: 'Reply on RC2', Zhihao Song, 09 Jun 2021
  • RC3: 'Comment on amt-2021-64', Anonymous Referee #3, 26 May 2021
    • AC3: 'Reply on RC3', Zhihao Song, 09 Jun 2021
    • AC6: 'Reply on RC3', Zhihao Song, 09 Jun 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Zhihao Song on behalf of the Authors (11 Jun 2021)  Author's response
ED: Referee Nomination & Report Request started (16 Jun 2021) by Omar Torres
RR by Anonymous Referee #3 (20 Jun 2021)
ED: Publish subject to technical corrections (05 Jul 2021) by Omar Torres
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Short summary
The linear hybrid machine learning model achieves the expected target well. The overall inversion accuracy (R2) of the model is 0.84, and the RMSE is 12.92 µg m−3. R2 was above 0.7 in more than 70 % of the sites, whereas RMSE and mean absolute error were below 20 and 15 µg m−3, respectively. There was severe pollution in winter with an average PM2.5 concentration of 62.10 µg m−3. However, there was only slight pollution in summer with an average PM2.5 concentration of 47.39 µg m−3.