Spatial and temporal changes in SO<sub>2</sub> regimes over China in the recent decade and the driving mechanism
<p>The spatial and temporal changes in <span class="inline-formula">SO<sub>2</sub></span> regimes over China during 2005 to 2016 and their associated driving mechanism are investigated based on a state-of-the-art retrieval dataset. Climatological <span clas...
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doaj-c93d451911f7463d9aa41461cf9f80192020-11-25T00:56:45ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242018-12-0118180631807810.5194/acp-18-18063-2018Spatial and temporal changes in SO<sub>2</sub> regimes over China in the recent decade and the driving mechanismT. Wang0P. Wang1P. Wang2N. Theys3D. Tong4F. Hendrick5Q. Zhang6M. Van Roozendael7CAS Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaCAS Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaUniversity of Chinese Academy of Sciences, Beijing 100049, ChinaBelgian Institute for Space Aeronomy (IASB-BIRA), Brussels, BelgiumMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, ChinaBelgian Institute for Space Aeronomy (IASB-BIRA), Brussels, BelgiumMinistry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, ChinaBelgian Institute for Space Aeronomy (IASB-BIRA), Brussels, Belgium<p>The spatial and temporal changes in <span class="inline-formula">SO<sub>2</sub></span> regimes over China during 2005 to 2016 and their associated driving mechanism are investigated based on a state-of-the-art retrieval dataset. Climatological <span class="inline-formula">SO<sub>2</sub></span> exhibits pronounced seasonal and regional variations, with higher loadings in wintertime and two prominent maxima centered in the North China Plain and the Cheng-Yu District. In the last decade, overall <span class="inline-formula">SO<sub>2</sub></span> decreasing trends have been reported nationwide, with spatially varying downward rates according to a general rule – the higher the <span class="inline-formula">SO<sub>2</sub></span> loading, the more significant the decrease. However, such decline is in fact not monotonic, but instead four distinct temporal regimes can be identified by empirical orthogonal function analysis. After an initial rise at the beginning, <span class="inline-formula">SO<sub>2</sub></span> in China undergoes two sharp drops in the periods 2007–2008 and 2014–2016, amid which 5-year moderate rebounding is sustained. Despite spatially coherent behaviors, different mechanisms are tied to North China and South China. In North China, the same four regimes are detected in the time series of emission that is expected to drive the regime of atmospheric <span class="inline-formula">SO<sub>2</sub></span>, with a percentage of explained variance amounting to 81 %. Out of total emission, those from the industrial sector dominate <span class="inline-formula">SO<sub>2</sub></span> variation throughout the whole period, while the role of household emission remains uncertain. In contrast to North China, <span class="inline-formula">SO<sub>2</sub></span> emissions in South China exhibit a continuous descending tendency, due to the coordinated cuts of industrial and household emissions. As a result, the role of emissions only makes up about 45 % of the <span class="inline-formula">SO<sub>2</sub></span> variation, primarily owing to the decoupled pathways of emission and atmospheric content during 2009 to 2013 when the emissions continue to decline but atmospheric content witnesses a rebound. Unfavorable meteorological conditions, including deficient precipitation, weaker wind speed and increased static stability, outweigh the effect of decreasing emissions and thus give rise to the rebound of <span class="inline-formula">SO<sub>2</sub></span> during 2009 to 2013.</p>https://www.atmos-chem-phys.net/18/18063/2018/acp-18-18063-2018.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
T. Wang P. Wang P. Wang N. Theys D. Tong F. Hendrick Q. Zhang M. Van Roozendael |
spellingShingle |
T. Wang P. Wang P. Wang N. Theys D. Tong F. Hendrick Q. Zhang M. Van Roozendael Spatial and temporal changes in SO<sub>2</sub> regimes over China in the recent decade and the driving mechanism Atmospheric Chemistry and Physics |
author_facet |
T. Wang P. Wang P. Wang N. Theys D. Tong F. Hendrick Q. Zhang M. Van Roozendael |
author_sort |
T. Wang |
title |
Spatial and temporal changes in SO<sub>2</sub> regimes over China in the recent decade and the driving mechanism |
title_short |
Spatial and temporal changes in SO<sub>2</sub> regimes over China in the recent decade and the driving mechanism |
title_full |
Spatial and temporal changes in SO<sub>2</sub> regimes over China in the recent decade and the driving mechanism |
title_fullStr |
Spatial and temporal changes in SO<sub>2</sub> regimes over China in the recent decade and the driving mechanism |
title_full_unstemmed |
Spatial and temporal changes in SO<sub>2</sub> regimes over China in the recent decade and the driving mechanism |
title_sort |
spatial and temporal changes in so<sub>2</sub> regimes over china in the recent decade and the driving mechanism |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2018-12-01 |
description |
<p>The spatial and temporal changes in <span class="inline-formula">SO<sub>2</sub></span> regimes over China during 2005 to 2016 and their associated
driving mechanism are investigated based on a state-of-the-art retrieval
dataset. Climatological <span class="inline-formula">SO<sub>2</sub></span> exhibits pronounced seasonal and
regional variations, with higher loadings in wintertime and two prominent
maxima centered in the North China Plain and the Cheng-Yu District. In the
last decade, overall <span class="inline-formula">SO<sub>2</sub></span> decreasing trends have been reported
nationwide, with spatially varying downward rates according to a general rule
– the higher the <span class="inline-formula">SO<sub>2</sub></span> loading, the more significant the decrease.
However, such decline is in fact not monotonic, but instead four distinct
temporal regimes can be identified by empirical orthogonal function analysis.
After an initial rise at the beginning, <span class="inline-formula">SO<sub>2</sub></span> in China undergoes two
sharp drops in the periods 2007–2008 and 2014–2016, amid which 5-year
moderate rebounding is sustained. Despite spatially coherent behaviors,
different mechanisms are tied to North China and South China. In North China,
the same four regimes are detected in the time series of emission that is
expected to drive the regime of atmospheric <span class="inline-formula">SO<sub>2</sub></span>, with a percentage
of explained variance amounting to 81 %. Out of total emission, those from
the industrial sector dominate <span class="inline-formula">SO<sub>2</sub></span> variation throughout the whole
period, while the role of household emission remains uncertain. In contrast
to North China, <span class="inline-formula">SO<sub>2</sub></span> emissions in South China exhibit a continuous
descending tendency, due to the coordinated cuts of industrial and household
emissions. As a result, the role of emissions only makes up about 45 % of
the <span class="inline-formula">SO<sub>2</sub></span> variation, primarily owing to the decoupled pathways of
emission and atmospheric content during 2009 to 2013 when the emissions
continue to decline but atmospheric content witnesses a rebound. Unfavorable
meteorological conditions, including deficient precipitation, weaker wind
speed and increased static stability, outweigh the effect of decreasing
emissions and thus give rise to the rebound of <span class="inline-formula">SO<sub>2</sub></span> during 2009
to 2013.</p> |
url |
https://www.atmos-chem-phys.net/18/18063/2018/acp-18-18063-2018.pdf |
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