ALESOPI Consulting, 15 Chemin de Coton, 26120, Chateaudouble, France.
Department of Mechanical Engineering, Maroun Semaan Faculty of Engineering and Architecture, American University of Beirut, Beirut, Lebanon.
Environ Sci Pollut Res Int. 2022 Apr;29(20):30193-30205. doi: 10.1007/s11356-021-17562-8. Epub 2022 Jan 8.
Physically based computational modeling is an effective tool for estimating and predicting the spatial distribution of pollutant concentrations in complex environments. A detailed and up-to-date emission inventory is one of the most important components of atmospheric modeling and a prerequisite for achieving high model performance. Lebanon lacks an accurate inventory of anthropogenic emission fluxes. In the absence of a clear emission standard and standardized activity datasets in Lebanon, this work serves to fill this gap by presenting the first national effort to develop a national emission inventory by exhaustively quantifying detailed multisector, multi-species pollutant emissions in Lebanon for atmospheric pollutants that are internationally monitored and regulated as relevant to air quality. Following the classification of the Emissions Database for Global Atmospheric Research (EDGAR), we present the methodology followed for each subsector based on its characteristics and types of fuels consumed. The estimated emissions encompass gaseous species (CO, NO, SO), and particulate matter (PM and PM). We compare totals per sector obtained from the newly developed national inventory with the international EDGAR inventory and previously published emission inventories for the country for base year 2010 presenting current discrepancies and analyzing their causes. The observed discrepancies highlight the fact that emission inventories, especially for data-scarce settings, are highly sensitive to the activity data and their underlying assumptions, and to the methodology used to estimate the emissions.
基于物理的计算建模是估计和预测复杂环境中污染物浓度空间分布的有效工具。详细且最新的排放清单是大气建模的最重要组成部分之一,也是实现高模型性能的前提条件。黎巴嫩缺乏准确的人为排放通量清单。由于黎巴嫩缺乏明确的排放标准和标准化的活动数据集,因此这项工作通过详尽地量化黎巴嫩多部门、多污染物排放的详细信息,来填补这一空白,首次努力为国际监测和监管的大气污染物制定国家排放清单,以实现空气质量。根据全球大气研究排放数据库 (EDGAR) 的分类,我们根据每个子行业的特点和消耗的燃料类型,介绍了其采用的方法。估计的排放量包括气态物质(CO、NO、SO)和颗粒物(PM 和 PM)。我们将从新开发的国家清单中获得的每个部门的总量与国际 EDGAR 清单以及该国 2010 年基准年的先前发布的排放清单进行比较,展示当前的差异并分析其原因。观察到的差异突出表明,排放清单,尤其是对于数据稀缺的环境,对活动数据及其基本假设以及用于估计排放的方法高度敏感。