Measurement report: Statistical modelling of long-term trends of atmospheric inorganic gaseous species within proximity of the pollution hotspot in South Africa

Swartz, Jan-Stefan; van Zyl, Pieter G.; Beukes, Johan P.; Galy-Lacaux, Corinne; Ramandh, Avishkar; Pienaar, Jacobus J.

doi:https://doi.org/10.5194/acp-20-10637-2020

Articles | Volume 20, issue 17

https://doi.org/10.5194/acp-20-10637-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-20-10637-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 17

Measurement report

|

11 Sep 2020

Measurement report |

| 11 Sep 2020

Measurement report: Statistical modelling of long-term trends of atmospheric inorganic gaseous species within proximity of the pollution hotspot in South Africa

Jan-Stefan Swartz, Pieter G. van Zyl, Johan P. Beukes, Corinne Galy-Lacaux, Avishkar Ramandh, and Jacobus J. Pienaar

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Final revised paper (published on 11 Sep 2020)
Preprint (discussion started on 06 Apr 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'South African Air Quality (1995-2015) - Ozone, nitrogen dioxide & sulfur dioxide trends based on passive sampler data', Anonymous Referee #1, 04 May 2020
RC2: 'Referee comments on manusript "..long-term atmospheric inorganic gaseous species trends ... in South Africa"', Anonymous Referee #2, 12 May 2020
AC1: 'Response to referees', Pieter van Zyl, 08 Jul 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Pieter van Zyl on behalf of the Authors (08 Jul 2020) Author's response Manuscript

ED: Publish as is (31 Jul 2020) by Drew Gentner

AR by Pieter van Zyl on behalf of the Authors (07 Aug 2020)

Short summary

Statistical modelling of interdependencies between local, regional and global parameters on long-term trends of atmospheric SO₂, NO₂ and O₂ within proximity of the pollution hotspot in South Africa indicated that changes in meteorological conditions and/or variances in source influences contributed to temporal variability. The impact of increased anthropogenic activities and energy demand was evident, while the El Niño–Southern Oscillation made a significant contribution to O₃ levels.