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ACP | Articles | Volume 20, issue 17
Atmos. Chem. Phys., 20, 10637–10665, 2020
https://doi.org/10.5194/acp-20-10637-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 20, 10637–10665, 2020
https://doi.org/10.5194/acp-20-10637-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 et al.

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Adon, M., Galy-Lacaux, C., Yoboué, V., Delon, C., Lacaux, J. P., Castera, P., Gardrat, E., Pienaar, J., Al Ourabi, H., Laouali, D., Diop, B., Sigha-Nkamdjou, L., Akpo, A., Tathy, J. P., Lavenu, F., and Mougin, E.: Long term measurements of sulfur dioxide, nitrogen dioxide, ammonia, nitric acid and ozone in Africa using passive samplers, Atmos. Chem. Phys., 10, 7467–7487, https://doi.org/10.5194/acp-10-7467-2010, 2010. 
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Balashov, N. V., Thompson, A. M., Piketh, S. J., and Langerman, K. E.: Surface ozone variability and trends over the South African Highveld from 1990 to 2007, J. Geophys. Res.-Atmos., 119, 4323–4342, https://doi.org/10.1002/2013JD020555, 2014. 
Bencherif, H., Diab, R. D., Portafaix, T., Morel, B., Keckhut, P., and Moorgawa, A.: Temperature climatology and trend estimates in the UTLS region as observed over a southern subtropical site, Durban, South Africa, Atmos. Chem. Phys., 6, 5121–5128, https://doi.org/10.5194/acp-6-5121-2006, 2006. 
Booyens, W., Beukes, J. P., Van Zyl, P. G., Ruiz-Jimenez, J., Kopperi, M., Riekkola, M.-L., Josipovic, M., Vakkari, V., and Laakso, L.: Assessment of polar organic aerosols at a regional background site in southern Africa, J. Atmos. Chem., 76, 89–113, https://doi.org/10.1007/s10874-019-09389-y, 2019. 
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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.
Statistical modelling of interdependencies between local, regional and global parameters on...
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