Temporal and Spatial Distribution of SO<sub>2</sub> in the Process of Haze in North China Based on Remote Sensing Data

Chang Ruoying; Zhao Jun; Li Wen; Jia Jingjing

doi:doi:10.11648/j.ijema.20190701.14

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Temporal and Spatial Distribution of SO₂ in the Process of Haze in North China Based on Remote Sensing Data

Chang Ruoying, Zhao Jun, Li Wen, Jia Jingjing

Published in International Journal of Environmental Monitoring and Analysis (Volume 7, Issue 1)

Received: 21 April 2019 Published: 15 June 2019

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Abstract

Based on the data sources of OMI data and haze data in North China, this paper studies the spatial distribution characteristics of SO₂ column amounts in North China from 2015 to 2017, and compares the relationship between SO₂ column amounts and haze. Corresponding analysis reveals the objective regularity of its existence. The results revealed that: 1) spatially, the value of SO₂ column is distributed higher in south and lower in north. In time, the amount of SO₂ column is characterized by winter > autumn > spring > summer; 2) during the haze event, SO₂ increased first and then decreased. The correlation analysis between the monthly average concentration of SO₂ and the frequency of haze weather, showed that there is a high correlation between the SO₂ concentration and the frequency of haze occurrence, and there is consistency in the space-time distribution; 3) The haze in North China is affected by meteorological and climatic factors and human activities. Coordination within the region is an important means to control air quality. To clarify the spatial and temporal distribution of SO₂ during the haze weather in North China is conductive to smooth progress of haze events control in North China.

Published in	International Journal of Environmental Monitoring and Analysis (Volume 7, Issue 1)
DOI	10.11648/j.ijema.20190701.14
Page(s)	27-33
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Atmospheric Remote Sensing, SO₂, Haze, North China

References

[1]	Fioletov, V. E., McLinden, C. A., Krotkov, N, et al. Lifetimes and emissions of SO₂ from point sources estimated from OMI [J]. Geophysical Research Letters, 2015, 42 (6): 1969-1976.
[2]	Li C, Joiner J, Krotkov N A, et al. A fast and sensitive new satellite SO₂ retrieval algorithm based on principal component analysis: Application to the ozone monitoring instrument [J]. Geophysical Research Letters, 2013, 40 (23): 6314-6318.
[3]	Fioletov, V. E., McLinden, C. A., Krotkov, N, et al. A global catalogue of large SO₂ sources and emissions derived from the Ozone Monitoring Instrument [J]. Atmospheric Chemistry and Physics, 2016, 16 (18), 11497-11519.
[4]	Zhang Y, Li C, Krotkov N A, et al. Continuation of long-term global SO₂ pollution monitoring from OMI to OMPS [J]. Atmospheric Measurement Techniques, 2017, 10 (4): 1-21.
[5]	Fioletov V E, Mclinden C A, Krotkov N, et al. A global catalogue of large SO₂ sources and emissions derived from the Ozone Monitoring Instrument [J]. Atmospheric Chemistry and Physics, 2016, 16 (18): 11497-11519.
[6]	Gao M, Guttikunda S K, Carmichael G R, et al. Health impacts and economic losses assessment of the 2013 severe haze event in Beijing area [J]. Science of The Total Environment, 2015, 511: 553-561.
[7]	Gao Y B, Mei S Y, Ma J J, et al. Spatiotemporal Variations of SO₂ over China by OMI Observations During 2005～2012 [J]. Journal of Atmospheric & Environmental Optics, 2016.
[8]	Zhao J, Zhang B C, Fan J P, et al. The Analysis of SO₂ Value Changes in the Atmospheric Boundary Layer over Lanzhou and Surrounding Areas based on the OMI Product [J]. Remote Sensing Technology and Application, 2011, 26 (6): 808-813.
[9]	Wu P, Ding Y H, Liu Y J et al. Influence of the East Asian winter monsoon and atmospheric humidity on the wintertime haze frequency over central-eastern China [J]. Acta Meteorologica Sinica. 2016, 74 (3): 352-366.
[10]	Zhang Y J, Zhang P Q, Wang J, et al. Climatic Characteristics of Persistent Haze Events over Jingjinji During 1981 – 2013 [J]. Meteorological Monthly. 2015, 41 (3): 311-318.
[11]	Wu D, Wu X J, Li F, et al. Temporal and spatial variation of haze during 1951-2005 in Chinese mainland [J]. Acta Meteorologica Sinica. 2010, 68 (5): 680-688.
[12]	Wu P, Ding Y H, Liu Y J. Atmospheric circulation and dynamic mechanism for persistent haze events in the Beijing–Tianjin–Hebei region [J]. Advances in Atmospheric Sciences, 2017, 34 (4): 429-440.
[13]	Ding Y H, Wu P, Liu Y J, et al. Environmental and Dynamic Conditions for the Occurrence of Persistent Haze Events in North China [J]. Engineering, 2017, 3 (2): 266-271.
[14]	Wang Y S, Liu Z R, Ji D S, et al. Formation of haze pollution in Beijing-Tianjin-Hebei region and their control strategies [J]. Bulletin of Chinese Academy of Sciences, 2013 (3): 353-363.
[15]	Krotkov N A, Carn S A, Krueger A J, et al. Band residual difference algorithm for retrieval of SO₂ from the aura ozone monitoring instrument (OMI)[J]. IEEE Transactions on Geoscience & Remote Sensing, 2006, 44 (5): 1259-1266.
[16]	Livingston J M, Redemann J, Russell P B, et al. Comparison of aerosol optical depths from the Ozone Monitoring Instrument (OMI) on Aura with results from airborne sunphotometry, other space and ground measurements during MILAGRO/INTEX-B [J]. Atmospheric Chemistry & Physics, 2009, 9 (2): 537-540.
[17]	Kang C Y, Zhao J, Song G F, et al. Study on the spatial of SO₂ in China’s atmospheric boundary layer based on OMI data [J]. China Environmental Science. 2018, 38 (2): 435-443.
[18]	Liu W J, Han Y X, Wang J, et al. Aerosol optical properties during one typical haze event over October 2010 in Beijing [J]. China Environmental Science, 2015, 35 (07), 1931-1937.
[19]	Fedkin, N., Li C., Dickerson R·Dickerson., et al. Linking improvements in sulfur dioxide emissions to decreasing sulfate wet deposition by combining satellite and surface observations with trajectory analysis. [J] Atmospheric Environment. 2018. 11. 039
[20]	Wang H J, Chen H P, Liu J P. Arctic Sea Ice Decline Intensified Haze Pollution in Eastern China [J]. Atmos Ocean Sci Lett. 2015, 8 (1): 1-9.
[21]	Pei L, Yan Z, Sun Z, et al. Increasing persistent haze in Beijing: potential impacts of weakening East Asian winter monsoons associated with northwestern Pacific sea surface temperature trends [J]. Atmospheric Chemistry and Physics, 2018, 18 (5): 3173-3183.
[22]	Zhou J B, Li Z G, Lu N, et. al. Online Sources about Atmospheric Fine Particles During the 70th Anniversary of Victory Parade in Shijiazhuang [J]. Environmental Science. 2016, 37 (8): 2855-2862.
[23]	Wang L, Hu B, Mao G, et al. Impact of emission controls on air quality in Beijing during APEC 2014: lidar ceilometer observations [J]. Atmospheric Chemistry and Physics, 2015, 15 (9): 13173-13209.
[24]	Wang L T, Wei Z, Yang J, et al. The 2013 severe haze over southern Hebei, China: model evaluation, source apportionment, and policy implications [J]. Atmospheric Chemistry and Physics, 2014, 14 (6): 3151-3173.
[25]	Yan Z W, Pei L, Zhou T J, et al. Unusually clear sky in Beijing during winter 2017 and the underlying large-scale climatic anomalies: With implication for "haze-climate" study [J]. Acta Meteorologica Sinica, 2018, 76 (05): 156-163.
[26]	Calkins C, Ge C, Wang J, et al. Effects of meteorological conditions on sulfur dioxide air pollution in the North China plain during winters of 2006–2015 [J]. Atmospheric Environment, 2016, 147: 296-309.

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APA Style

Chang Ruoying, Zhao Jun, Li Wen, Jia Jingjing. (2019). Temporal and Spatial Distribution of SO2 in the Process of Haze in North China Based on Remote Sensing Data. International Journal of Environmental Monitoring and Analysis, 7(1), 27-33. https://doi.org/10.11648/j.ijema.20190701.14

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ACS Style

Chang Ruoying; Zhao Jun; Li Wen; Jia Jingjing. Temporal and Spatial Distribution of SO2 in the Process of Haze in North China Based on Remote Sensing Data. Int. J. Environ. Monit. Anal. 2019, 7(1), 27-33. doi: 10.11648/j.ijema.20190701.14

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AMA Style

Chang Ruoying, Zhao Jun, Li Wen, Jia Jingjing. Temporal and Spatial Distribution of SO2 in the Process of Haze in North China Based on Remote Sensing Data. Int J Environ Monit Anal. 2019;7(1):27-33. doi: 10.11648/j.ijema.20190701.14

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@article{10.11648/j.ijema.20190701.14,
  author = {Chang Ruoying and Zhao Jun and Li Wen and Jia Jingjing},
  title = {Temporal and Spatial Distribution of SO2 in the Process of Haze in North China Based on Remote Sensing Data},
  journal = {International Journal of Environmental Monitoring and Analysis},
  volume = {7},
  number = {1},
  pages = {27-33},
  doi = {10.11648/j.ijema.20190701.14},
  url = {https://doi.org/10.11648/j.ijema.20190701.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijema.20190701.14},
  abstract = {Based on the data sources of OMI data and haze data in North China, this paper studies the spatial distribution characteristics of SO2 column amounts in North China from 2015 to 2017, and compares the relationship between SO2 column amounts and haze. Corresponding analysis reveals the objective regularity of its existence. The results revealed that: 1) spatially, the value of SO2 column is distributed higher in south and lower in north. In time, the amount of SO2 column is characterized by winter > autumn > spring > summer; 2) during the haze event, SO2 increased first and then decreased. The correlation analysis between the monthly average concentration of SO2 and the frequency of haze weather, showed that there is a high correlation between the SO2 concentration and the frequency of haze occurrence, and there is consistency in the space-time distribution; 3) The haze in North China is affected by meteorological and climatic factors and human activities. Coordination within the region is an important means to control air quality. To clarify the spatial and temporal distribution of SO2 during the haze weather in North China is conductive to smooth progress of haze events control in North China.},
 year = {2019}
}

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TY  - JOUR
T1  - Temporal and Spatial Distribution of SO2 in the Process of Haze in North China Based on Remote Sensing Data
AU  - Chang Ruoying
AU  - Zhao Jun
AU  - Li Wen
AU  - Jia Jingjing
Y1  - 2019/06/15
PY  - 2019
N1  - https://doi.org/10.11648/j.ijema.20190701.14
DO  - 10.11648/j.ijema.20190701.14
T2  - International Journal of Environmental Monitoring and Analysis
JF  - International Journal of Environmental Monitoring and Analysis
JO  - International Journal of Environmental Monitoring and Analysis
SP  - 27
EP  - 33
PB  - Science Publishing Group
SN  - 2328-7667
UR  - https://doi.org/10.11648/j.ijema.20190701.14
AB  - Based on the data sources of OMI data and haze data in North China, this paper studies the spatial distribution characteristics of SO2 column amounts in North China from 2015 to 2017, and compares the relationship between SO2 column amounts and haze. Corresponding analysis reveals the objective regularity of its existence. The results revealed that: 1) spatially, the value of SO2 column is distributed higher in south and lower in north. In time, the amount of SO2 column is characterized by winter > autumn > spring > summer; 2) during the haze event, SO2 increased first and then decreased. The correlation analysis between the monthly average concentration of SO2 and the frequency of haze weather, showed that there is a high correlation between the SO2 concentration and the frequency of haze occurrence, and there is consistency in the space-time distribution; 3) The haze in North China is affected by meteorological and climatic factors and human activities. Coordination within the region is an important means to control air quality. To clarify the spatial and temporal distribution of SO2 during the haze weather in North China is conductive to smooth progress of haze events control in North China.
VL  - 7
IS  - 1
ER  -

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Author Information

Chang Ruoying

College of Geography and Environmental Science, Northwest Normal University, Lanzhou, China
Zhao Jun

College of Geography and Environmental Science, Northwest Normal University, Lanzhou, China
Li Wen

College of Geography and Environmental Science, Northwest Normal University, Lanzhou, China
Jia Jingjing

College of Geography and Environmental Science, Northwest Normal University, Lanzhou, China

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Plain Text BibTeX RIS

APA Style

Chang Ruoying, Zhao Jun, Li Wen, Jia Jingjing. (2019). Temporal and Spatial Distribution of SO2 in the Process of Haze in North China Based on Remote Sensing Data. International Journal of Environmental Monitoring and Analysis, 7(1), 27-33. https://doi.org/10.11648/j.ijema.20190701.14

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ACS Style

Chang Ruoying; Zhao Jun; Li Wen; Jia Jingjing. Temporal and Spatial Distribution of SO2 in the Process of Haze in North China Based on Remote Sensing Data. Int. J. Environ. Monit. Anal. 2019, 7(1), 27-33. doi: 10.11648/j.ijema.20190701.14

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AMA Style

Chang Ruoying, Zhao Jun, Li Wen, Jia Jingjing. Temporal and Spatial Distribution of SO2 in the Process of Haze in North China Based on Remote Sensing Data. Int J Environ Monit Anal. 2019;7(1):27-33. doi: 10.11648/j.ijema.20190701.14

Copy | Download

@article{10.11648/j.ijema.20190701.14,
  author = {Chang Ruoying and Zhao Jun and Li Wen and Jia Jingjing},
  title = {Temporal and Spatial Distribution of SO2 in the Process of Haze in North China Based on Remote Sensing Data},
  journal = {International Journal of Environmental Monitoring and Analysis},
  volume = {7},
  number = {1},
  pages = {27-33},
  doi = {10.11648/j.ijema.20190701.14},
  url = {https://doi.org/10.11648/j.ijema.20190701.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijema.20190701.14},
  abstract = {Based on the data sources of OMI data and haze data in North China, this paper studies the spatial distribution characteristics of SO2 column amounts in North China from 2015 to 2017, and compares the relationship between SO2 column amounts and haze. Corresponding analysis reveals the objective regularity of its existence. The results revealed that: 1) spatially, the value of SO2 column is distributed higher in south and lower in north. In time, the amount of SO2 column is characterized by winter > autumn > spring > summer; 2) during the haze event, SO2 increased first and then decreased. The correlation analysis between the monthly average concentration of SO2 and the frequency of haze weather, showed that there is a high correlation between the SO2 concentration and the frequency of haze occurrence, and there is consistency in the space-time distribution; 3) The haze in North China is affected by meteorological and climatic factors and human activities. Coordination within the region is an important means to control air quality. To clarify the spatial and temporal distribution of SO2 during the haze weather in North China is conductive to smooth progress of haze events control in North China.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Temporal and Spatial Distribution of SO2 in the Process of Haze in North China Based on Remote Sensing Data
AU  - Chang Ruoying
AU  - Zhao Jun
AU  - Li Wen
AU  - Jia Jingjing
Y1  - 2019/06/15
PY  - 2019
N1  - https://doi.org/10.11648/j.ijema.20190701.14
DO  - 10.11648/j.ijema.20190701.14
T2  - International Journal of Environmental Monitoring and Analysis
JF  - International Journal of Environmental Monitoring and Analysis
JO  - International Journal of Environmental Monitoring and Analysis
SP  - 27
EP  - 33
PB  - Science Publishing Group
SN  - 2328-7667
UR  - https://doi.org/10.11648/j.ijema.20190701.14
AB  - Based on the data sources of OMI data and haze data in North China, this paper studies the spatial distribution characteristics of SO2 column amounts in North China from 2015 to 2017, and compares the relationship between SO2 column amounts and haze. Corresponding analysis reveals the objective regularity of its existence. The results revealed that: 1) spatially, the value of SO2 column is distributed higher in south and lower in north. In time, the amount of SO2 column is characterized by winter > autumn > spring > summer; 2) during the haze event, SO2 increased first and then decreased. The correlation analysis between the monthly average concentration of SO2 and the frequency of haze weather, showed that there is a high correlation between the SO2 concentration and the frequency of haze occurrence, and there is consistency in the space-time distribution; 3) The haze in North China is affected by meteorological and climatic factors and human activities. Coordination within the region is an important means to control air quality. To clarify the spatial and temporal distribution of SO2 during the haze weather in North China is conductive to smooth progress of haze events control in North China.
VL  - 7
IS  - 1
ER  -

Copy | Download