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Trend of temporal and spatial variation of planetary boundary layer SO2 over China from 2005 to 2016 |
XIAO Zhong-yong, ZHAO Bo-wei, CHEN Ya-wen, WANG Yi-lin, QIU Xiao-ying, XIE Yi-ning |
Schools of Science, Jimei University, Xiamen 361021, China |
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Abstract We analyzed the spatial distribution and variation trend of PBL SO2 over China using the satellite retrieved data from the ozone monitoring instrument (OMI) sensor. In the long term scale, the SO2 presented an obvious decline trend. The regional mean value has reduced 0.041DU (about 13.2%) from 2005 to 2016. The SO2 showed an obvious periodic variation, the value was higher in winter and lower in summer. The smallest and largest value appeared in July and December with 0.246 and 0.404DU respectively. The wavelet analysis finding showed that the variation of SO2 have primary period in 10months scale. In the spatial scale, there were 4 higher value regions over Circum-Bohai-Sea region, Sichuan Basin, Yangtze River Delta, and Pearl River Delta. The Largest value was up to 1.1DU over Bohai Rim Economic Zone. The higher value areas of the Circum-Bohai-Sea region in North China has been extended to the Yangtze River Delta region, with the southward extension to the Pearl River Delta. The SO2 in the Sichuan Basin have higher values due to the influence of topography and weather characteristics. In the Tibetan Plateau and Northwest China, the SO2 concentration was low, indicated the background value characteristics, the multi-yearly average SO2 was about 0.05DU. There were obvious differences in the spatial distribution of variation trends of SO2 over China. The range of variation was between -0.70 and 0.15DU. The gradual decreasing region of SO2 appeared in high-value areas, such as Circum-Bohai-Sea region, Sichuan Basin, the Yangtze River and the Pearl River Delta. The largest reduction was about 61%, which reduced by about 0.55 and 0.45DU over Sichuan Basin and the Pearl River Delta from 2005 to 2016, respectively. The gradually increasing regions were mainly in the western and northern region, and the southeast coast excluding the Pearl River Delta. The maximum growth was about 0.15DU.
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Received: 26 March 2018
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[1] |
Krotkov N A, McClure B, Dickerson R R, et al. Validation of SO2 retrievals from the ozone monitoring instrument (OMI) over NE China[J]. Journal of Geophysical Research Atmospheres, 2008,113(D16):16-40.
|
[2] |
Krueger A J, Krotkov N A, Yang K, et al. Applications of satellite-based sulfur dioxide monitoring[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2010,2(4):293-298.
|
[3] |
Krueger A J. Sighting of El chichón sulfur dioxide clouds with the nimbus 7total ozone mapping spectrometer[J]. Science, 1983, 220(4604):1377-1379.
|
[4] |
Mellqvist J, Rosén A. DOAS for flue gas monitoring-Ⅱ. Deviations from the Beer-Lambert law for the U.V./visible absorption spectra of NO, NO2, SO2 and NH3[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 1996,56(2):225-240.
|
[5] |
Eisinger M, Burrows J P. Tropospheric sulfur dioxide observed by the ERS-2GOME instrument[J]. Geophys. Res. Lett., 1998,25(22):4177-4180.
|
[6] |
Piters A J M, Bramstedt K, Lambert J C, et al. Overview of SCIAMACHY validation:2002-2004[J]. Atmospheric Chemistry & Physics, 2006,6(1):127-148.
|
[7] |
Chance K. OMI Algorithm Theoretical Basis Document, Volume IV:OMI Trace Gas Algorithms[M]. USA:NASA, ATBD-OMI-04, Version 2.0, 2002.
|
[8] |
Levelt P F. 2002. OMI Algorithm Theoretical Basis Document, Volume I:OMI Instrument, Level 0-1b processor, Calibration & Operations[M]. USA:NASA, ATBD-OMI-01, Version 1.1, 2002.
|
[9] |
Richter A, Wittrock F, Heckel A, el al. SCIAMACHY Measurements of tropospheric SO2[C]. Cospar Scientific Assembly, 2006, 36th COSPAR Scientific Assembly, in Beijing, China.
|
[10] |
康重阳,赵军,宋国富,等.基于OMI数据中国大气边界层SO2空间格局[J]. 中国环境科学, 2018,38(2):435-443.
|
[11] |
Zhang X, Geffen J V, Liao H, et al. Spatiotemporal variations of tropospheric SO2 over China by SCIAMACHY observations during 2004-2009[J]. Atmospheric Environment, 2012,60(11):238-246.
|
[12] |
闫欢欢,张兴赢,王维和.卫星遥感监测全球和中国区域污染气体NO2和SO2时空变化[J]. 科技导报, 2015,33(17):41-51.
|
[13] |
Levelt P F, Van den Oord G H J, Dobber M R, et al. The Ozone Monitoring Instrument[J]. IEEE Trans Geosci Remote Sens, 2006, 44(5):1093-1101.
|
[14] |
Carn S A, Krueger A J, Krotkov N A, et al. Sulfur dioxide emissions from Peruvian copper smelters detected by the Ozone Monitoring Instrument[J]. Geophys. Res. Lett., 2007,34(9):1093-1101.
|
[15] |
Li C, Zhang Q, Krotkov N A, et al. Recent large reduction in sulfur dioxide emissions from Chinese power plants observed by the Ozone Monitoring Instrument[J]. Geophysical Research Letters, 2010,37(8):292-305.
|
[16] |
闫欢欢,陈良富,陶金花,等.珠江三角洲地区SO2浓度卫星遥感长时间序列监测[J]. 遥感学报, 2012,16(2):390-404.
|
[17] |
王体健,闵锦忠,孙照渤,等.中国地区硫酸盐气溶胶的分布特征[J]. 气候与环境研究, 2000,5(2):165-174.
|
[18] |
Khoder M I. Atmospheric conversion of sulfur dioxide to particulate sulfate and nitrogen dioxide to particulate nitrate and gaseous nitric acid in an urban area. Chemosphere, 2002,49(6):675-684.
|
[19] |
朱帅,颜鹏,马建中.超大城市SO2排放对硫酸盐区域分布影响的观测与模拟[J]. 环境科学研究, 2009,22(1):7-15.
|
[20] |
张慧明,王娟.应用烟气脱硫技术控制燃煤工业锅炉SO2污染[J]. 电力科技与环保, 2006,22(1):13-16.
|
|
|
|