CNR-ISAC, Via Gobetti 101, 40129, Bologna, Italy.
University of Urbino - Faculty of Science and Technologies, Piazza Rinascimento 6, Urbino, 61029, Italy.
Environ Res. 2023 Sep 1;232:116343. doi: 10.1016/j.envres.2023.116343. Epub 2023 Jun 14.
Methane (CH) is an important climate forcer, contributing about 17% of the total radiative forcing by long living greenhouse gases. The Po basin is one of the most polluted and densely populated areas in Europe representing an important source region for CH. The aim of this work was to test an inter-species correlation approach to derive estimates of anthropogenic CH emissions for the period 2015-2019 from the Po basin by combining CO bottom-up inventory data and continuous CH and CO observations from a mountain site in the northern Italy. The tested methodology suggested lower emissions in respect to EDGAR (-17%) and the Italian National Inventory (-40%) for the Po basin. However, despite the two bottom-up inventories, the emissions derived from the atmospheric observations reported an increasing tendency from 2015 to 2019 for the CH emissions. A sensitivity study revealed that using different subsets of the atmospheric observations implied a difference of 26% in the CH emission estimates. The highest agreement with two bottom-up CH inventories (EDGAR and the Italian national inventory) were obtained when atmospheric data were strictly selected for periods representative of air mass transport from the Po basin. Our study identified various challenges when using this methodology as a benchmark to verify bottom-up CH inventories. Issues could be attributed to the annual aggregation of the proxies used to derive the emission amounts, to the CO bottom-up inventory used as input information and to the relatively high sensitivity of the results to the different subsets of the atmospheric observations. However, the use of different bottom-up inventories as input data for CO emissions can potentially provide information that should be carefully considered for the purpose of integrating CH bottom-up inventories.
甲烷(CH)是一种重要的气候致暖气体,对长寿命温室气体的总辐射强迫贡献约 17%。波河流域是欧洲污染最严重和人口最密集的地区之一,是 CH 的重要源区。本工作的目的是通过将 CO 自上而下的清单数据与来自意大利北部山区站点的连续 CH 和 CO 观测相结合,测试一种种间相关方法,以获得 2015-2019 年波河流域人为 CH 排放的估算值。测试的方法表明,与 EDGAR(-17%)和意大利国家清单(-40%)相比,波河流域的排放量较低。然而,尽管有两个自上而下的清单,但是从大气观测中得出的排放量报告显示,CH 排放量从 2015 年到 2019 年呈上升趋势。敏感性研究表明,使用大气观测的不同子集意味着 CH 排放估计值存在 26%的差异。当大气数据严格选择代表来自波河流域的空气团传输的时期时,与两个自上而下的 CH 清单(EDGAR 和意大利国家清单)的一致性最高。本研究确定了使用这种方法作为验证自上而下的 CH 清单的基准时存在的各种挑战。问题可能归因于用于推导排放量的代理的年度聚合、用作输入信息的 CO 自上而下的清单以及结果对大气观测的不同子集的相对较高的敏感性。然而,将不同的自上而下的清单用作 CO 排放的输入数据可能会为整合 CH 自上而下的清单提供应该仔细考虑的信息。