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Discussion papers
https://doi.org/10.5194/acp-2019-235
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2019-235
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 04 Apr 2019

Research article | 04 Apr 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Chemistry and Physics (ACP).

Evolution of Anthropogenic Air Pollutant Emissions in Guangdong Province, China, from 2006 to 2015

Yahui Bian1, Jiamin Ou2, Zhijiong Huang3, Zhuangmin Zhong1, Yuanqian Xu1, Zhiwei Zhang1, Xiao Xiao1, Xiao Ye1, Yuqi Wu1, Xiaohong Yin1, Liangfu Chen4, Min Shao3, and Junyu Zheng1,3 Yahui Bian et al.
  • 1School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
  • 2School of International Development, University of East Anglia, Norwich NR4 7TJ, UK
  • 3Institute for Environmental and Climate Research, Jinan University, Guangzhou 510000, China
  • 4State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

Abstract. Guangdong province (GD), one of the most prosperous and populous regions in China, still experiences haze events and growing ozone pollution, although it has seen substantial air quality improvement in recent years. Co-control of fine particulate matter (PM2.5) and ozone in GD calls for a systematic review of historical emission patterns. In this study, emission trends, spatial variations, source-contribution variations, and reduction potentials of sulfur dioxide (SO2), nitrogen oxides (NOx), PM2.5, inhalable particles (PM10), carbon monoxide (CO), ammonia (NH3), and volatile organic compounds (VOCs) in GD from 2006 to 2015 are revealed using a dynamic methodology, taking into account economic development, technology penetration, and emission controls. The relative change rates of anthropogenic emissions in GD during 2006–2015 were −48% for SO2, −0.5 % for NOx, −16 % for PM2.5, −22 % for PM10, 13 % for CO, 3 % for NH3, and 13 % for VOCs. The declines of SO2, NOx, PM2.5, and PM10 emissions are mainly attributed to the control-driven emission reductions in the Pearl River Delta (PRD) region, especially from power plants, industrial combustion, on-road mobile sources, and fugitive dust, and partly to the shift of industries from the PRD to the non-PRD (NPRD) region in GD. NPRD also contributed to part of the emission decline, but it was only effective until 2011 when GD’s Clean Air Action of 12th Five-Year was implemented. Due to the growth of solvent use and the absence of effective control measures, VOC emissions in PRD and NPRD both steadily increased, and this might be one of the reasons that led to the slight upward trends of ozone concentrations in GD. To further reduce emissions, future work should focus on power plants and industrial combustion in GD and industrial process source in NPRD for emissions of SO2, NOx, and particulate matter, and on solvent use and on-road mobile sources for VOC emissions. This study provides solid scientific support for further air quality improvement in GD. In addition, it provides robust data to quantify the impact of emission and meteorology variations on air quality and unveil the primary cause of significant air quality change in the PRD region in recent decade.

Yahui Bian et al.
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Status: open (until 30 May 2019)
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Short summary
During 2006–2015, emissions of SO2, NOx, PM2.5 and PM10 saw obvious downtrend. However, most emissions still have large reduction potential. Control measures on vehicles should be largely enhanced to reverse the growing emission trends due to the increase of vehicles population. Also controls measures on VOC and NH3 should be heighted since they still increased in 2006–2015. Since most control measures focused on PRD rather than non-PRD in GD, emissions in non-PRD were increasingly important.
During 2006–2015, emissions of SO2, NOx, PM2.5 and PM10 saw obvious downtrend. However, most...
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