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Anthropogenic and volcanic point source SO2 emissions derived from TROPOMI on board Sentinel-5 Precursor: first results

机译:人类学和火山点源SO2源自船上的Tropomi排放 - 5前体:第一个结果

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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 10ktyr?1 to more than 2000ktyr?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 1DU=2.69×1016moleculescm?2) over the tropics and 1.5DU over high latitudes, are larger than those of OMI (0.6–1DU) and OMPS (0.3–0.4DU). 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 ±0.25DU, which can be comparable with SO2 values over large sources.
机译:本文介绍了第一个基于Tropomi的二氧化硫(SO2)排放点估算点来源。总共约500次连续发光点源释放约10ktyr?1至超过2000ktyr?1的SO2中,以前从4月份的全年进行了1年全年分析了从臭氧监测仪器(OMI)观察中的SO2中鉴定的SO2 ?2018年3月?2019年。估计这些来源的年度排放并与来自OMI和臭氧映射分析套件(OMP)测量的类似估计进行比较。请注意,自2005年以来,这500个源中许多资源的排放量显着下降,使其量化更具挑战性。我们能够识别274个来源,其中年度排放是显着的,可以从rootomi可靠地估计。 Tropomi垂直柱密度数据的标准偏差,大约1多个单位(du,其中1du,其中1du = 2.69×1016moleculescm?2)在高纬度和1.5du上,大纬度,大于OMI(0.6-1du)和omps( 0.3-0.4du)。由于其具有非常高的空间分辨率,Tropomi在特定区域的观察结果比OMI的比例增加12-20倍,而不是OMP的96倍。尽管对单个原型观测的不确定性,但与OMI和OMPS数据相比,在大面积上平均的Tropomi数据具有约2-3倍的不确定因素。同样,卓越的年度排放可以估计,不确定因素比从OMI的年度排放估算的不确定性低1.5-2倍。虽然在RoTomi数据中存在区域偏差,但是在一些区域上必须从发射计算中移除,而这些区域的绝对幅度通常在±0.25du范围内,这可以与大源上的SO2值相媲美。

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