Anthropogenic and volcanic point source SO2 emissions derived from TROPOMI on board Sentinel-5 Precursor: first results
Anthropogenic and volcanic point source SO2 emissions derived from TROPOMI on board Sentinel-5 Precursor: first results
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DOI：
10.5194/acp-20-5591-2020
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发表时间：
2020-05-13
影响因子：
6.3
通讯作者：
Li, Can
中科院分区：
文献类型：
--
作者：
Fioletov, Vitali;Mclinden, Chris A.;Li, Can
本文介绍了第一个基于TROPOMI的二氧化硫（SO2）点源排放量估计。从2018年4月到2019年3月，使用TROPOMI（对流层监测仪器）测量分析了之前从臭氧监测仪器（OMI）观测中确定的大约500个持续排放的SO2点源，这些点源释放量约为10千吨/年（-1）到超过2000千吨/年（-1）。对这些来源的年度排放量进行了估算，并与臭氧监测指数和臭氧绘图分析套件测量得出的类似估算值进行了比较。请注意，自2005年以来，这500个来源中的许多来源的排放量已大幅下降，使其量化更具挑战性。我们能够确定274个源，其中年排放量很大，可以从TROPOMI可靠地估计。TROPOMI垂直柱密度数据的标准偏差在热带地区约为1多布森单位（DU，其中1 DU = 2.69 × 10（16）分子cm（-2）），在高纬度地区约为1.5 DU，比OMI（0.6-1 DU）和OMPS（0.3-0.4 DU）的标准偏差大。由于其非常高的空间分辨率，TROPOMI在某个区域的观测量是OMI的12-20倍，是OMPS的96倍。尽管个别TROPOMI观测的不确定性较高，但与OMI和OMPS数据相比，在大面积上平均的TROPOMI数据的不确定性大约低2-3倍。同样，TROPOMI的年排放量估计的不确定性比OMI的年排放量估计的不确定性低1.5-2倍。虽然有些地区的TROPOMI数据存在地区偏差，必须从排放量计算中去除，但这些偏差的绝对值是适度的，通常在+/- 0.25 DU范围内，这可以与大型来源的SO2值相比较。
The paper introduces the first TROPOMI-based sulfur dioxide (SO2) emissions estimates for point sources. A total of about 500 continuously emitting point sources releasing about 10 kt yr(-1) to more than 2000 kt yr(-1) of SO2, previously identified from Ozone Monitoring Instrument (OMI) observations, were analyzed using TROPOMI (TROPOspheric Monitoring Instrument) measurements for 1 full year from April 2018 to March 2019. The annual emissions from these sources were estimated and compared to similar estimates from OMI and Ozone Mapping Profiling Suite (OMPS) measurements. Note that emissions from many of these 500 sources have declined significantly since 2005, making their quantification more challenging. We were able to identify 274 sources where annual emissions are significant and can be reliably estimated from TROPOMI. The standard deviations of TROPOMI vertical column density data, about 1 Dobson unit (DU, where 1 DU = 2.69 x 10(16) molecules cm(-2)) over the tropics and 1.5 DU over high latitudes, are larger than those of OMI (0.6-1 DU) and OMPS (0.3-0.4 DU). Due to its very high spatial resolution, TROPOMI produces 12-20 times more observations over a certain area than OMI and 96 times more than OMPS. Despite higher uncertainties of individual TROPOMI observations, TROPOMI data averaged over a large area have roughly 2-3 times lower uncertainties compared to OMI and OMPS data. Similarly, TROPOMI annual emissions can be estimated with uncertainties that are 1.5-2 times lower than the uncertainties of annual emissions estimates from OMI. While there are area biases in TROPOMI data over some regions that have to be removed from emission calculations, the absolute magnitude of these are modest, typically within +/- 0.25 DU, which can be comparable with SO2 values over large sources.