欧洲监测和评价计划欧洲站点非甲烷挥发性有机化合物模型与观测值对比评价

IF 5.2 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Yao Ge, Sverre Solberg, Mathew R. Heal, Stefan Reimann, Willem van Caspel, Bryan Hellack, Thérèse Salameh, David Simpson
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引用次数: 0

摘要

摘要大气中的挥发性有机化合物(VOCs)种类繁多,是臭氧和气溶胶形成的前体物质。大气化学和传输模型(CTM)对于了解挥发性有机化合物的排放、分布和影响至关重要。鉴于挥发性有机化合物排放的不确定性、评估研究的缺乏以及近期排放的变化,这项工作采用了欧洲监测与评估计划气象综合中心-西部(EMEP MSC-W)的 CTM 来评估欧洲的排放清单。在此,我们对二十年来的挥发性有机化合物进行了首次深入的模型-测量比较。利用 2018 年和 2019 年 EMEP 常规监测网络的测量数据以及 2022 年的测量数据,从空间和时间两方面对模拟的地表浓度进行了评估。为此,我们利用英国国家大气排放清单得出了各个物种的明确排放曲线,并采用示踪法得出了与观测结果直接可比的纯浓度。模型和测量的挥发性有机化合物的一致程度因具体物种而异。该模型成功地捕捉到了主要烷烃(如乙烷、正丁烷)和不饱和物质(如乙烯、苯)的总体时空变化,但对丙烷、i-丁烷和乙炔的捕捉效果较差。这种差异凸显了后一种物质的边界条件及其主要排放(尤其是溶剂和道路运输部门)中的潜在问题。具体来说,与测量结果相比,模型低估了大量丙烷,丙烷与乙烷的比率也较小,这突出了丙烷排放的潜在遗漏及其边界条件问题。同时,模型和测量结果都显示丁烷异构体和戊烷异构体之间存在很强的线性相关,这表明这对异构体存在共同的来源。不过,模型中的正丁烷与i-丁烷之比以及i-戊烷与正戊烷之比约为测量值的三分之一,这主要是由于溶剂行业排放了大量的正丁烷和正戊烷。这表明溶剂行业的规格概况存在问题,目前的清单中未充分反映运输和燃料蒸发行业的贡献,或两者兼而有之。此外,模拟的乙烯-乙炔和苯-乙炔比率与测量的比率有很大差异。模型的不同表现有力地说明了乙炔排放的时空模式和规模存在缺陷,尤其是在冬季。在 OVOCs 方面,甲缩醛和甲基乙二醛的模拟浓度和测量浓度显示出良好的一致性,尽管模型在夏季适度低估了其浓度。造成这种差异的原因可能是低估了生物源的贡献,也可能是模型高估了它们在夏季的光解损失。然而,由于缺乏合适的测量数据,对其他 OVOCs 的评估受到了限制。最后,与使用排放清单和预测中心(CEIP)清单进行的模拟相比,使用 CAMS 清单进行的模型模拟与测量结果的一致性略好。这种改进可能是由于 CAMS 清单对道路运输行业进行了详细划分,包括相关的特定子行业排放概况。考虑到这一改进,以及之前提到的对模型中各种挥发性有机化合物比例估计偏差的担忧,未来的工作应侧重于更详细地细分主要排放部门(如溶剂),并完善其规格剖面,以提高模型的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of modelled versus observed non-methane volatile organic compounds at European Monitoring and Evaluation Programme sites in Europe
Abstract. Atmospheric volatile organic compounds (VOCs) constitute a wide range of species, acting as precursors to ozone and aerosol formation. Atmospheric chemistry and transport models (CTMs) are crucial to understanding the emissions, distribution, and impacts of VOCs. Given the uncertainties in VOC emissions, lack of evaluation studies, and recent changes in emissions, this work adapts the European Monitoring and Evaluation Programme Meteorological Synthesizing Centre – West (EMEP MSC-W) CTM to evaluate emission inventories in Europe. Here we undertake the first intensive model–measurement comparison of VOCs in 2 decades. The modelled surface concentrations are evaluated both spatially and temporally, using measurements from the regular EMEP monitoring network in 2018 and 2019, as well as a 2022 campaign. To achieve this, we utilised the UK National Atmospheric Emissions Inventory to derive explicit emission profiles for individual species and employed a tracer method to produce pure concentrations that are directly comparable to observations. The degree to which the modelled and measured VOCs agree varies depending on the specific species. The model successfully captures the overall spatial and temporal variations of major alkanes (e.g. ethane, n-butane) and unsaturated species (e.g. ethene, benzene) but less so for propane, i-butane, and ethyne. This discrepancy underscores potential issues in the boundary conditions for the latter species and in their primary emissions from, in particular, the solvent and road transport sectors. Specifically, potential missing propane emissions and issues with its boundary conditions are highlighted by large model underestimations and smaller propane-to-ethane ratios compared to the measurement. Meanwhile, both the model and measurements show strong linear correlations among butane isomers and among pentane isomers, indicating common sources for these pairs of isomers. However, modelled ratios of i-butane to n-butane and i-pentane to n-pentane are approximately one-third of the measured ratios, which is largely driven by significant emissions of n-butane and n-pentane from the solvent sector. This suggests issues with the speciation profile of the solvent sector, underrepresented contributions from transport and fuel evaporation sectors in current inventories, or both. Furthermore, the modelled ethene-to-ethyne and benzene-to-ethyne ratios differ significantly from measured ratios. The different model performance strongly points to shortcomings in the spatial and temporal patterns and magnitudes of ethyne emissions, especially during winter. For OVOCs, the modelled and measured concentrations of methanal and methylglyoxal show a good agreement, despite a moderate underestimation by the model in summer. This discrepancy could be attributed to an underestimation of contributions from biogenic sources or possibly a model overestimation of their photolytic loss in summer. However, the insufficiency of suitable measurements limits the evaluation of other OVOCs. Finally, model simulations employing the CAMS inventory show slightly better agreements with measurements than those using the Centre on Emission Inventories and Projections (CEIP) inventory. This enhancement is likely due to the CAMS inventory's detailed segmentation of the road transport sector, including its associated sub-sector-specific emission profiles. Given this improvement, alongside the previously mentioned concerns about the model's biased estimations of various VOC ratios, future efforts should focus on a more detailed breakdown of dominant emission sectors (e.g. solvents) and the refinement of their speciation profiles to improve model accuracy.
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来源期刊
Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics 地学-气象与大气科学
CiteScore
10.70
自引率
20.60%
发文量
702
审稿时长
6 months
期刊介绍: Atmospheric Chemistry and Physics (ACP) is a not-for-profit international scientific journal dedicated to the publication and public discussion of high-quality studies investigating the Earth''s atmosphere and the underlying chemical and physical processes. It covers the altitude range from the land and ocean surface up to the turbopause, including the troposphere, stratosphere, and mesosphere. The main subject areas comprise atmospheric modelling, field measurements, remote sensing, and laboratory studies of gases, aerosols, clouds and precipitation, isotopes, radiation, dynamics, biosphere interactions, and hydrosphere interactions. The journal scope is focused on studies with general implications for atmospheric science rather than investigations that are primarily of local or technical interest.
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