气候变化领域集成服务门户(CCPortal): Measurement report: Statistical modelling of long-Term trends of atmospheric inorganic gaseous species within proximity of the pollution hotspot in South Africa

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DOI	10.5194/acp-20-10637-2020
	Measurement report: Statistical modelling of long-Term trends of atmospheric inorganic gaseous species within proximity of the pollution hotspot in South Africa
	Swartz J.-S.; Van Zyl P.G.; P. Beukes J.; Galy-Lacaux C.; Ramandh A.; Pienaar J.J.
发表日期	2020
ISSN	1680-7316
起始页码	10637
结束页码	10665
卷号	20 期号:17
英文摘要	South Africa is considered an important source region of atmospheric pollutants, which is compounded by high population and industrial growth. However, this region is understudied, especially with regard to evaluating longterm trends of atmospheric pollutants. The aim of this study was to perform statistical modelling of SO2, NO2 and O3 long-Term trends based on 21-, 19-and 16-year passive sampling datasets available for three South African INDAAF (International Network to study Deposition and Atmospheric Chemistry in Africa) sites located within proximity of the pollution hotspot in the industrialized north-eastern interior in South Africa. The interdependencies between local, regional and global parameters on variances in SO2, NO2 and O3 levels were investigated in the model. Average monthly SO2 concentrations at Amersfoort (AF), Louis Trichardt (LT) and Skukuza (SK) were 9.91, 1.70 and 2.07 ugm-3, respectively, while respective mean monthly NO2 concentrations at each of these sites were 6.56, 1.46 and 2.54 ugm-3. Average monthly O3 concentrations were 50.77, 58.44 and 43.36 ugm-3 at AF, LT and SK, respectively. Long-Term temporal trends indicated seasonal and inter-Annual variability at all three sites, which could be ascribed to changes in meteorological conditions and/or variances in source contribution. Local, regional and global parameters contributed to SO2 variability, with total solar irradiation (TSI) being the most significant factor at the regional background site LT. Temperature (T ) was the most important factor at SK, located in the Kruger National Park, while population growth (P) made the most substantial contribution at the industrially impacted AF site. Air masses passing over the source region also contributed to SO2 levels at SK and LT. Local and regional factors made more substantial contributions to modelled NO2 levels, with P being the most significant factor explaining NO2 variability at all three sites, while relative humidity (RH) was the most important local and regional meteorological factor. The important contribution of P on modelled SO2 and NO2 concentrations was indicative of the impact of increased anthropogenic activities and energy demand in the north-eastern interior of South Africa. Higher SO2 concentrations, associated with lower temperatures, as well as the negative correlation of NO2 levels to RH, reflected the influence of pollution build-up and increased household combustion during winter. The El Niño-Southern Oscillation (ENSO) made a significant contribution to modelled O3 levels at all three sites, while the influence of local and regional meteorological factors was also evident. Trend lines for SO2 and NO2 at AF indicated an increase in SO2 and NO2 concentrations over the 19-year sampling period, while an upward trend in NO2 levels at SK signified the influence of growing rural communities. Marginal trends were observed for SO2 at SK, as well as SO2 and NO2 at LT, while O3 remained relatively constant at all three sites. SO2 and NO2 concentrations were higher at AF, while the regional O3 problem was evident at all three sites. © 2020 Copernicus GmbH. All rights reserved.
语种	英语
scopus关键词	atmospheric gas; atmospheric modeling; atmospheric pollution; concentration (composition); long-term change; nitrogen dioxide; ozone; sulfur dioxide; trend analysis; South Africa
来源期刊	Atmospheric Chemistry and Physics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/141102
作者单位	Atmospheric Chemistry Research Group, Chemical Resource Beneficiation, North-West University, Potchefstroom, 2520, South Africa; Laboratoire d'Aérologie, Université de Toulouse, CNRS, Ups, Toulouse, 31400, France; Research and Technology, Sasol Technology (Pty) Limited, Sasolburg, 1947, South Africa
推荐引用方式 GB/T 7714	Swartz J.-S.,Van Zyl P.G.,P. Beukes J.,et al. Measurement report: Statistical modelling of long-Term trends of atmospheric inorganic gaseous species within proximity of the pollution hotspot in South Africa[J],2020,20(17).
APA	Swartz J.-S.,Van Zyl P.G.,P. Beukes J.,Galy-Lacaux C.,Ramandh A.,&Pienaar J.J..(2020).Measurement report: Statistical modelling of long-Term trends of atmospheric inorganic gaseous species within proximity of the pollution hotspot in South Africa.Atmospheric Chemistry and Physics,20(17).
MLA	Swartz J.-S.,et al."Measurement report: Statistical modelling of long-Term trends of atmospheric inorganic gaseous species within proximity of the pollution hotspot in South Africa".Atmospheric Chemistry and Physics 20.17(2020).