Evolution of anthropogenic air pollutant emissions in Guangdong Province, China, from 2006 to 2015
<p>Guangdong Province (GD), one of the most prosperous and populous regions in China, still experiences haze events and growing ozone pollution in spite of the substantial air-quality improvement in recent years. Integrated control of fine particulate matter (PM<span class="inline-form...
Main Authors: | , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2019-09-01
|
Series: | Atmospheric Chemistry and Physics |
Online Access: | https://www.atmos-chem-phys.net/19/11701/2019/acp-19-11701-2019.pdf |
id |
doaj-e8f79393efaa42b6b92c66e9641517d1 |
---|---|
record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Y. Bian Z. Huang J. Ou Z. Zhong Y. Xu Z. Zhang X. Xiao X. Ye Y. Wu X. Yin C. Li L. Chen M. Shao J. Zheng J. Zheng |
spellingShingle |
Y. Bian Z. Huang J. Ou Z. Zhong Y. Xu Z. Zhang X. Xiao X. Ye Y. Wu X. Yin C. Li L. Chen M. Shao J. Zheng J. Zheng Evolution of anthropogenic air pollutant emissions in Guangdong Province, China, from 2006 to 2015 Atmospheric Chemistry and Physics |
author_facet |
Y. Bian Z. Huang J. Ou Z. Zhong Y. Xu Z. Zhang X. Xiao X. Ye Y. Wu X. Yin C. Li L. Chen M. Shao J. Zheng J. Zheng |
author_sort |
Y. Bian |
title |
Evolution of anthropogenic air pollutant emissions in Guangdong Province, China, from 2006 to 2015 |
title_short |
Evolution of anthropogenic air pollutant emissions in Guangdong Province, China, from 2006 to 2015 |
title_full |
Evolution of anthropogenic air pollutant emissions in Guangdong Province, China, from 2006 to 2015 |
title_fullStr |
Evolution of anthropogenic air pollutant emissions in Guangdong Province, China, from 2006 to 2015 |
title_full_unstemmed |
Evolution of anthropogenic air pollutant emissions in Guangdong Province, China, from 2006 to 2015 |
title_sort |
evolution of anthropogenic air pollutant emissions in guangdong province, china, from 2006 to 2015 |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2019-09-01 |
description |
<p>Guangdong Province (GD), one of the most prosperous and populous regions in
China, still experiences haze events and growing ozone pollution in spite of
the substantial air-quality improvement in recent years. Integrated control
of fine particulate matter (PM<span class="inline-formula"><sub>2.5</sub></span>) and ozone in GD calls for a
systematic review of historical emissions. In this study, emission trends,
spatial variations, source-contribution variations, and reduction potentials
of sulfur dioxide (<span class="inline-formula">SO<sub>2</sub></span>), nitrogen oxides (<span class="inline-formula">NO<sub><i>x</i></sub></span>), PM<span class="inline-formula"><sub>2.5</sub></span>,
inhalable particles (PM<span class="inline-formula"><sub>10</sub></span>), carbon monoxide (CO), ammonia (<span class="inline-formula">NH<sub>3</sub></span>),
and volatile organic compounds (VOCs) in GD from 2006 to 2015 were first
examined 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 are <span class="inline-formula">−48</span> %
for <span class="inline-formula">SO<sub>2</sub></span>, <span class="inline-formula">−0.5</span> % for <span class="inline-formula">NO<sub><i>x</i></sub></span>, <span class="inline-formula">−16</span> % for PM<span class="inline-formula"><sub>2.5</sub></span>, <span class="inline-formula">−22</span> % for
PM<span class="inline-formula"><sub>10</sub></span>, 13 % for CO, 3 % for <span class="inline-formula">NH<sub>3</sub></span>, and 13 % for VOCs. The
declines of <span class="inline-formula">SO<sub>2</sub></span>, <span class="inline-formula">NO<sub><i>x</i></sub></span>, PM<span class="inline-formula"><sub>2.5</sub></span>, and PM<span class="inline-formula"><sub>10</sub></span> emissions in the
whole province mainly resulted from the stringent emission control in
the Pearl River delta (PRD) region, where most previous control measures
were focused, especially on power plants (<span class="inline-formula">SO<sub>2</sub></span> and <span class="inline-formula">NO<sub><i>x</i></sub></span>), industrial
combustion (<span class="inline-formula">SO<sub>2</sub></span>, PM<span class="inline-formula"><sub>2.5</sub></span>, PM<span class="inline-formula"><sub>10</sub></span>), on-road mobile sources
(<span class="inline-formula">NO<sub><i>x</i></sub></span>), and dust sources (PM<span class="inline-formula"><sub>2.5</sub></span> and PM<span class="inline-formula"><sub>10</sub></span>). Emissions from other
areas (non-PRD, NPRD), nevertheless, remain relatively stable due to the
lax control measures and rapidly growing energy consumption. In addition,
emission leaks of <span class="inline-formula">SO<sub>2</sub></span> and <span class="inline-formula">NO<sub><i>x</i></sub></span> from industries are observed from PRD
to NPRD in 2010 and 2011. As a result, emissions in NPRD are increasingly
important in GD, particularly those from industrial combustion. The contribution
of NPRD to the total <span class="inline-formula">SO<sub>2</sub></span> emissions in GD, for example, increased from
27 % in 2006 to 48 % in 2015. On-road mobile sources and solvent use are
the two key sources that should receive more effective control measures in
GD. Current control-driven emission reductions from on-road mobile sources are neutralized
by the substantial growth of the vehicle population, while VOC emissions in GD
steadily increase due to the growth of solvent use and the absence of
effective control measures. Besides, future work could focus on power plants
and industrial combustion in GD and industrial process sources in NPRD, which
still have large emission reduction potentials. The historical emission
inventory developed in this study not only helps to understand the emission
evolution in GD, but also 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 GD in the recent decade.</p> |
url |
https://www.atmos-chem-phys.net/19/11701/2019/acp-19-11701-2019.pdf |
work_keys_str_mv |
AT ybian evolutionofanthropogenicairpollutantemissionsinguangdongprovincechinafrom2006to2015 AT zhuang evolutionofanthropogenicairpollutantemissionsinguangdongprovincechinafrom2006to2015 AT jou evolutionofanthropogenicairpollutantemissionsinguangdongprovincechinafrom2006to2015 AT zzhong evolutionofanthropogenicairpollutantemissionsinguangdongprovincechinafrom2006to2015 AT yxu evolutionofanthropogenicairpollutantemissionsinguangdongprovincechinafrom2006to2015 AT zzhang evolutionofanthropogenicairpollutantemissionsinguangdongprovincechinafrom2006to2015 AT xxiao evolutionofanthropogenicairpollutantemissionsinguangdongprovincechinafrom2006to2015 AT xye evolutionofanthropogenicairpollutantemissionsinguangdongprovincechinafrom2006to2015 AT ywu evolutionofanthropogenicairpollutantemissionsinguangdongprovincechinafrom2006to2015 AT xyin evolutionofanthropogenicairpollutantemissionsinguangdongprovincechinafrom2006to2015 AT cli evolutionofanthropogenicairpollutantemissionsinguangdongprovincechinafrom2006to2015 AT lchen evolutionofanthropogenicairpollutantemissionsinguangdongprovincechinafrom2006to2015 AT mshao evolutionofanthropogenicairpollutantemissionsinguangdongprovincechinafrom2006to2015 AT jzheng evolutionofanthropogenicairpollutantemissionsinguangdongprovincechinafrom2006to2015 AT jzheng evolutionofanthropogenicairpollutantemissionsinguangdongprovincechinafrom2006to2015 |
_version_ |
1724987093686419456 |
spelling |
doaj-e8f79393efaa42b6b92c66e9641517d12020-11-25T01:54:29ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242019-09-0119117011171910.5194/acp-19-11701-2019Evolution of anthropogenic air pollutant emissions in Guangdong Province, China, from 2006 to 2015Y. Bian0Z. Huang1J. Ou2Z. Zhong3Y. Xu4Z. Zhang5X. Xiao6X. Ye7Y. Wu8X. Yin9C. Li10L. Chen11M. Shao12J. Zheng13J. Zheng14School of Environment and Energy, South China University of Technology, Guangzhou 510006, ChinaInstitute for Environmental and Climate Research, Jinan University, Guangzhou 510000, ChinaSchool of International Development, University of East Anglia, Norwich, NR4 7TJ, UKInstitute for Environmental and Climate Research, Jinan University, Guangzhou 510000, ChinaSchool of Environment and Energy, South China University of Technology, Guangzhou 510006, ChinaSchool of Environment and Energy, South China University of Technology, Guangzhou 510006, ChinaSchool of Environment and Energy, South China University of Technology, Guangzhou 510006, ChinaSchool of Environment and Energy, South China University of Technology, Guangzhou 510006, ChinaSchool of Environment and Energy, South China University of Technology, Guangzhou 510006, ChinaSchool of Environment and Energy, South China University of Technology, Guangzhou 510006, ChinaInstitute for Environmental and Climate Research, Jinan University, Guangzhou 510000, ChinaState Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, ChinaInstitute for Environmental and Climate Research, Jinan University, Guangzhou 510000, ChinaSchool of Environment and Energy, South China University of Technology, Guangzhou 510006, ChinaInstitute for Environmental and Climate Research, Jinan University, Guangzhou 510000, China<p>Guangdong Province (GD), one of the most prosperous and populous regions in China, still experiences haze events and growing ozone pollution in spite of the substantial air-quality improvement in recent years. Integrated control of fine particulate matter (PM<span class="inline-formula"><sub>2.5</sub></span>) and ozone in GD calls for a systematic review of historical emissions. In this study, emission trends, spatial variations, source-contribution variations, and reduction potentials of sulfur dioxide (<span class="inline-formula">SO<sub>2</sub></span>), nitrogen oxides (<span class="inline-formula">NO<sub><i>x</i></sub></span>), PM<span class="inline-formula"><sub>2.5</sub></span>, inhalable particles (PM<span class="inline-formula"><sub>10</sub></span>), carbon monoxide (CO), ammonia (<span class="inline-formula">NH<sub>3</sub></span>), and volatile organic compounds (VOCs) in GD from 2006 to 2015 were first examined 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 are <span class="inline-formula">−48</span> % for <span class="inline-formula">SO<sub>2</sub></span>, <span class="inline-formula">−0.5</span> % for <span class="inline-formula">NO<sub><i>x</i></sub></span>, <span class="inline-formula">−16</span> % for PM<span class="inline-formula"><sub>2.5</sub></span>, <span class="inline-formula">−22</span> % for PM<span class="inline-formula"><sub>10</sub></span>, 13 % for CO, 3 % for <span class="inline-formula">NH<sub>3</sub></span>, and 13 % for VOCs. The declines of <span class="inline-formula">SO<sub>2</sub></span>, <span class="inline-formula">NO<sub><i>x</i></sub></span>, PM<span class="inline-formula"><sub>2.5</sub></span>, and PM<span class="inline-formula"><sub>10</sub></span> emissions in the whole province mainly resulted from the stringent emission control in the Pearl River delta (PRD) region, where most previous control measures were focused, especially on power plants (<span class="inline-formula">SO<sub>2</sub></span> and <span class="inline-formula">NO<sub><i>x</i></sub></span>), industrial combustion (<span class="inline-formula">SO<sub>2</sub></span>, PM<span class="inline-formula"><sub>2.5</sub></span>, PM<span class="inline-formula"><sub>10</sub></span>), on-road mobile sources (<span class="inline-formula">NO<sub><i>x</i></sub></span>), and dust sources (PM<span class="inline-formula"><sub>2.5</sub></span> and PM<span class="inline-formula"><sub>10</sub></span>). Emissions from other areas (non-PRD, NPRD), nevertheless, remain relatively stable due to the lax control measures and rapidly growing energy consumption. In addition, emission leaks of <span class="inline-formula">SO<sub>2</sub></span> and <span class="inline-formula">NO<sub><i>x</i></sub></span> from industries are observed from PRD to NPRD in 2010 and 2011. As a result, emissions in NPRD are increasingly important in GD, particularly those from industrial combustion. The contribution of NPRD to the total <span class="inline-formula">SO<sub>2</sub></span> emissions in GD, for example, increased from 27 % in 2006 to 48 % in 2015. On-road mobile sources and solvent use are the two key sources that should receive more effective control measures in GD. Current control-driven emission reductions from on-road mobile sources are neutralized by the substantial growth of the vehicle population, while VOC emissions in GD steadily increase due to the growth of solvent use and the absence of effective control measures. Besides, future work could focus on power plants and industrial combustion in GD and industrial process sources in NPRD, which still have large emission reduction potentials. The historical emission inventory developed in this study not only helps to understand the emission evolution in GD, but also 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 GD in the recent decade.</p>https://www.atmos-chem-phys.net/19/11701/2019/acp-19-11701-2019.pdf |