汤加火山喷发SO<sub>2</sub>全球传输扩散态势模拟研究

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摘要针对2022年1月汤加火山喷发SO₂全球扩散态势,采用拉格朗日粒子扩散模式(FLEXPART),基于卫星监测信息对SO₂源项进行评估和设计,在此基础上开展数值模拟(截至2022年2月20日).结果表明,火山喷发初期模式对SO₂南北扩散范围模拟偏窄,但随着时间演变与观测呈现逐渐吻合趋势;SO₂主体位于南半球,向西传输区域主要位于0~30ºS纬度带,最大传输速度约22.5º/d,在研究时段跨赤道传输作用弱,对北半球和我国影响小;SO₂在西向传输过程中总体保持前高后低倾斜态势,传输最快高度和向上扩散最大高度分别位于27km和31km左右;截至2月20日,SO₂累积地面沉降已扩展至60ºN以南全球大部分区域,主要区域位于0~50ºS纬度带,沉降最强地区位于澳大利亚东部、汤加火山西北部和南美洲南部.研究结果可为汤加火山气候效应评估提供数据支撑和思路借鉴.

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	宿兴涛
	邓志武
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关键词 ：汤加火山, SO₂, 扩散, FLEXPART

Abstract：The Lagrangian particle diffusion model FLEXPART (FLEXible PARTicle dispersion model) was applied to study the global SO₂ diffusion from the Tonga volcano eruption in January 2022. The SO₂ source was evaluated and designed based on satellite monitoring information, and the numerical simulation was conducted untill 20th February 2022. The model presented a rather narrower extent of SO₂ diffusion in north-south direction in the early stage of the volcano eruption. Later on, the simulated diffusion extent was graduallly in consistent with the observations. The SO₂ was mainly concentrated in the southern hemisphere, and the westward transmission region was in the latitudes from 0 to 30ºS with a maximum transmission velocity of 22.5º/d. The trans-equatorial transmission was weak in the study period and with weak influence on the northern hemisphere and China. The westward transmission of SO₂ showed inclined shape with higher front and lower rear. The rapidest upward transmission height and the maximum diffusion height were about 27km and 31km respectively. To February 20th, the SO₂ deposition was discovered rarely in a large extent to south of 60ºN, the most parts of the world. The main deposition area was located in the latitudes form 0to 50ºS, and the strongest deposition areas were located in eastern Australia, northwest of Tonga volcano, and in southern parts of South America. The research results can provide data support and ideas for Tonga volcano climate effect assessment.

Key words： Tonga volcano SO₂ diffusion FLEXPART

收稿日期: 2022-06-06

PACS:	X16
	P435

基金资助:国防科技基础加强计划资助项目(2021-JCJQ-JJ-1058)

通讯作者: 宿兴涛,高级工程师,suxingtao@mail.iap.ac.cn E-mail: suxingtao@mail.iap.ac.cn

作者简介: 宿兴涛(1984-),男,山东聊城人,高级工程师,博士,主要从事大气环境仿真研究.发表论文30余篇.

引用本文:

宿兴涛, 邓志武, 安豪. 汤加火山喷发SO₂全球传输扩散态势模拟研究[J]. 中国环境科学, 2023, 43(1): 96-106. SU Xing-tao, DENG Zhi-wu, AN Hao. Simulation study on global diffusional transmission of SO₂ from Tonga volcano eruption. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(1): 96-106.

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http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2023/V43/I1/96

[1]	Liu F, Choi S, Li C, et al. A new global anthropogenic SO2 emission inventory for the last decade:a mosaic of satellite -derived and bottom-up emissions[J]. Atmospheric Chemistry and Physics, 2018, 18:16571-16586.
[2]	康重阳,赵军,宋国富.2005~2017年全球大气边界层SO2时空变化[J]. 中国环境科学, 2019,39(10):4033-4042. Kang C Y, Zhao J, Song G F. Temporal and spatial distribution characteristics of global atmospheric boundary layer SO2 based on remote sensing data from 2005 to 2017[J]. China Environmental Science, 2019,39(10):4033-4042.
[3]	刘元华,贾杰林,吴玉锋,等.2006~2009年工业COD和SO2减排分解研究[J]. 中国环境科学, 2012,32(11):1961-1970. Liu Y H, Jia J L, Wu Y F, et al. Decomposition analysis of COD and SO2 emission reduction of industry from 2006 to 2009[J]. China Environmental Science, 2012,32(11):1961-1970.
[4]	Fioletov V, Mclinden C A, Griffin D, et al. Anthropogenic and volcanic point source SO2 emissions derived from TROPOMI on board Sentinel-5Precursor:first results[J]. Atmospheric Chemistry and Physics, 2020,20:5591-5607.
[5]	Carn S A, Fioletov V E, McLinden C A, et al. A decade of global volcanic SO2 emissions measured from space[J]. Scientific Reports, 2017,7:44095.
[6]	McCormick M P, Thomason L W, Trepte C R. Atmospheric effects of the Mt Pinatubo eruption[J]. Nature, 1995,373:399-404.
[7]	Peng Jifeng, Peterson Rorik. Attracting structures in volcanic ash transport[J]. Atmospheric Environment, 2012,48(2):230-239.
[8]	尹京苑,沈迪,李成范.卫星遥感技术在火山灰云监测中的应用[J]. 地震地质, 2013,35(2):347-362. Yin J Y, Shen D, Li C F. Application of satellite remote sensing in volcanic ash cloud monitoring[J]. Seismology and Geology, 2013, 35(2):347-362.
[9]	Fioletov V, McLinden C A, Griffin D, et al. Anthropogenic and volcanic point source SO2 emissions derived from TROPOMI on board Sentinel-5Precursor:first results[J]. Atmospheric Chemistry and Physics, 2020,20:5591-5607.
[10]	Gorkavyi N, Krotkov N, Li C, et al. Tracking aerosols and SO2 clouds from the Raikoke eruption:3D view from satellite observations[J]. Atmospheric Measurement Techniques, 2021,14:7545-7563.
[11]	朱伟仁,孙红福,朱琳,等.基于共轭梯度法和BP神经网络的火山灰云顶高度反演研究[J]. 自然灾害学报, 2019,28(6):28-36. Zhu W R, Sun H F, Zhu L, et al. Inversion of volcanic ash cloud top height based on conjugate gradient method and BP neural network[J]. Journal of Natural Disasters, 2019,28(6):28-36.
[12]	Fedkin N M, Li C, Krotkov N A, et al. Volcanic SO2 effective layer height retrieval for the Ozone Monitoring Instrument (OMI) using a machine-learning approach[J]. Atmospheric Measurement Techniques, 2021,14:3673-3691.
[13]	赵杰臣.皮纳图博火山气溶胶的三维扩散及其气候效应的数值模拟[D]. 青岛:国家海洋局第一海洋研究所, 2011:16. Zhao J C. Numerical simulation of three-dimensional diffusion of Pinatubo volcanic aerosol and its climate effect[D]. Qingdao:The first Institute of Oceangraphy, State Oceaic Administration, 2011:16.
[14]	Ukhov A, Mostamandi S, Krotkov N, et al. Study of SO2 Pollution in the Middle East Using MERRA-2, CAMS data assimilation products, and high-resolution WRF-Chem simulations[J]. Journal of Geophysical Research:Atmospheres, 2020, 125, e2019JD031993. https://doi.org/10.1029/2019JD031993.
[15]	Zhu L, Liu J, Liu C, et al. Satellite remote sensing of volcanic ash cloud in complicated meteorological conditions[J]. Science China Earth Sciences, 2011,54:1789-1795.
[16]	宋文韬,胡勇,刘丰轶,等.基于气象卫星云图的红外吸收带火山特征分析[J]. 光谱学与光谱分析, 2019,39(1):73-78. Song W T, Hu Y, Liu F Y, et al. Analysis of infrared absorption band for volcano based on meteorological satellite cloud image[J]. Spectroscopy and Spectral Analysis, 2019,39(1):73-78.
[17]	Zhang H, Wang F, Li J, et al. Potential impact of Tonga Volcano eruption on global mean surface air temperature[J]. Journal of Meteorological Research, 2022,36(1):1-5.
[18]	Zuo M, Zhou T J, Man W M, et al. Volcanoes and climate:sizing up the impact of the recent Hunga Tonga-Hunga Ha'apai volcanic eruption from a historical perspective[J]. Advances in Atmospheric Sciences, 2022, https://doi.org/10.1007/s00376-022-2034-1.
[19]	Pisso I, Sollum E, Grythe H, et al. The Lagrangian particle dispersion model FLEXPART version 10.4[J]. Geoscientific Model Development, 2019,12:4955-4997.
[20]	Stohl A, Forster C, Frank A, et al. Technical note:The Lagrangian particle dispersion model FLEXPART version 6.2[J]. Atmospheric Chemistry and Physics, 2005,5:2461-2474.
[21]	张誉,吴俊杰,顾雷.30年来对流层顶高度变化特征研究[J]. 中国科技信息, 2019,21:32-33. Zhang Y, Wu J J, Gu L. Study on the variation charateristics of tropopause height in the past 30years[J]. China Science and Technology Information, 2019,21:32-33.
[22]	Liu C, Wang Y Q, Bian J C. Applicability evaluation of NCEP/NCAR reanalysis temperature, geopotential height and wind field data in the upper troposphere and lower stratosphere[J]. Meteorological and Environmental Research, 2010,1(7):45-50.