Articles | Volume 18, issue 24
https://doi.org/10.5194/acp-18-18063-2018
https://doi.org/10.5194/acp-18-18063-2018
Research article
 | 
20 Dec 2018
Research article |  | 20 Dec 2018

Spatial and temporal changes in SO2 regimes over China in the recent decade and the driving mechanism

Ting Wang, Pucai Wang, Nicolas Theys, Dan Tong, François Hendrick, Qiang Zhang, and Michel Van Roozendael

Related authors

A WRF-Chem study of the greenhouse gas column and in situ surface concentrations observed at Xianghe, China. Part 1: Methane (CH4)
Sieglinde Callewaert, Minqiang Zhou, Bavo Langerock, Pucai Wang, Ting Wang, Emmanuel Mahieu, and Martine De Mazière
EGUsphere, https://doi.org/10.5194/egusphere-2024-3228,https://doi.org/10.5194/egusphere-2024-3228, 2024
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Spatiotemporal variations in atmospheric CH4 concentrations and enhancements in northern China based on a comprehensive dataset: Ground-based observations, TROPOMI data, inventory data and inversions
Pengfei Han, Ning Zeng, Bo Yao, Wen Zhang, Weijun Quan, Pucai Wang, Ting Wang, Minqiang Zhou, Qixiang Cai, Yuzhong Zhang, Ruosi Liang, Wanqi Sun, and Shengxiang Liu
EGUsphere, https://doi.org/10.5194/egusphere-2024-2162,https://doi.org/10.5194/egusphere-2024-2162, 2024
Short summary
A Low-cost UAV Coordinated Carbon observation Network (LUCCN): an analysis of environment impact on ground base measurement node
Xiaoyu Ren, Dongxu Yang, Yi Liu, Yong Wang, Ting Wang, Zhaonan Cai, Lu Yao, Tonghui Zhao, Jing Wang, and Zhe Jiang
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-49,https://doi.org/10.5194/amt-2024-49, 2024
Revised manuscript has not been submitted
Short summary
A WRF-Chem study on the variability of CO2, CH4 and CO concentrations at Xianghe, China supported by ground-based observations and TROPOMI
Sieglinde Callewaert, Minqiang Zhou, Bavo Langerock, Pucai Wang, Ting Wang, Emmanuel Mahieu, and Martine De Mazière
EGUsphere, https://doi.org/10.5194/egusphere-2023-2103,https://doi.org/10.5194/egusphere-2023-2103, 2023
Preprint archived
Short summary
A research product for tropospheric NO2 columns from Geostationary Environment Monitoring Spectrometer based on Peking University OMI NO2 algorithm
Yuhang Zhang, Jintai Lin, Jhoon Kim, Hanlim Lee, Junsung Park, Hyunkee Hong, Michel Van Roozendael, Francois Hendrick, Ting Wang, Pucai Wang, Qin He, Kai Qin, Yongjoo Choi, Yugo Kanaya, Jin Xu, Pinhua Xie, Xin Tian, Sanbao Zhang, Shanshan Wang, Siyang Cheng, Xinghong Cheng, Jianzhong Ma, Thomas Wagner, Robert Spurr, Lulu Chen, Hao Kong, and Mengyao Liu
Atmos. Meas. Tech., 16, 4643–4665, https://doi.org/10.5194/amt-16-4643-2023,https://doi.org/10.5194/amt-16-4643-2023, 2023
Short summary

Related subject area

Subject: Gases | Research Activity: Remote Sensing | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Development of a high-spatial-resolution annual emission inventory of greenhouse gases from open straw burning in Northeast China from 2001 to 2020
Zihan Song, Leiming Zhang, Chongguo Tian, Qiang Fu, Zhenxing Shen, Renjian Zhang, Dong Liu, and Song Cui
Atmos. Chem. Phys., 24, 13101–13113, https://doi.org/10.5194/acp-24-13101-2024,https://doi.org/10.5194/acp-24-13101-2024, 2024
Short summary
Quantifying large methane emissions from the Nord Stream pipeline gas leak of September 2022 using IASI satellite observations and inverse modelling
Chris Wilson, Brian J. Kerridge, Richard Siddans, David P. Moore, Lucy J. Ventress, Emily Dowd, Wuhu Feng, Martyn P. Chipperfield, and John J. Remedios
Atmos. Chem. Phys., 24, 10639–10653, https://doi.org/10.5194/acp-24-10639-2024,https://doi.org/10.5194/acp-24-10639-2024, 2024
Short summary
Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data
Steffen Vanselow, Oliver Schneising, Michael Buchwitz, Maximilian Reuter, Heinrich Bovensmann, Hartmut Boesch, and John P. Burrows
Atmos. Chem. Phys., 24, 10441–10473, https://doi.org/10.5194/acp-24-10441-2024,https://doi.org/10.5194/acp-24-10441-2024, 2024
Short summary
Biomass burning CO emissions: exploring insights through TROPOMI-derived emissions and emission coefficients
Debora Griffin, Jack Chen, Kerry Anderson, Paul Makar, Chris A. McLinden, Enrico Dammers, and Andre Fogal
Atmos. Chem. Phys., 24, 10159–10186, https://doi.org/10.5194/acp-24-10159-2024,https://doi.org/10.5194/acp-24-10159-2024, 2024
Short summary
Measurement report: Combined use of MAX-DOAS and AERONET ground-based measurements in Montevideo, Uruguay, for the detection of distant biomass burning
Matías Osorio, Alejandro Agesta, Tim Bösch, Nicolás Casaballe, Andreas Richter, Leonardo M. A. Alvarado, and Erna Frins
Atmos. Chem. Phys., 24, 7447–7465, https://doi.org/10.5194/acp-24-7447-2024,https://doi.org/10.5194/acp-24-7447-2024, 2024
Short summary

Cited articles

Chai, F., Gao, J., Chen, Z., Wang, S., Zhang, Y., Zhang, J., Zhang, H., Yun, Y., and Ren, C.: Spatial and temporal variation of particulate matter and gaseous pollutants in 26 cities in China, J. Environ. Sci., 26, 75–82, 2014. 
Chan, C. K. and Yao, X.: Air pollution in mega cities in China, Atmos. Environ., 42, 1–42, 2008. 
Hannachi, A.: A primer for EOF analysis of climate data, University of Reading, Reading, 2004. 
Harada, Y., Kamahori, H., Kobayashi, C., Endo, H., Kobayashi, S., Ota, Y., Onoda, H., Onogi, K., Miyaoka, K., and Takahashi, K.: The JRA-55 Reanalysis: Representation of atmospheric circulation and climate variability, J. Meteorol. Soc. Jpn. Ser. II, 94, 269–302, 2016. 
Hou, Y., Wang, L., Zhou, Y., Wang, S., and Wang, F.: Analysis of the Sulfur Dioxide Column Concentration over Jing-Jin-Ji, China, based on Satellite Observations during the Past Decade, Polish J. Environ. Stud., 27, 1551–1557, 2018. 
Download
Short summary
In the last decade, four temporal regimes of SO2 in China have been identified. After an initial rise, SO2 undergoes two sharp drops in 2007–2008 and 2014–2016, during which 5-year rebounding is sustained. Different mechanisms are tied to North and South China. The industrial emission is responsible for SO2 variation in North China, while in South China the meteorological conditions make a large contribution. The result is crucial to the understanding of SO2 changes and future polices.
Altmetrics
Final-revised paper
Preprint