气候变化领域集成服务门户(CCPortal): Influence of emission inventory resolution on the modeled spatio-temporal distribution of air pollutants in Buenos Aires, Argentina, using WRF-Chem

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DOI	10.1016/j.atmosenv.2021.118839
	Influence of emission inventory resolution on the modeled spatio-temporal distribution of air pollutants in Buenos Aires, Argentina, using WRF-Chem
	López-Noreña A.I.; Berná L.; Tames M.F.; Millán E.N.; Puliafito S.E.; Fernandez R.P.
发表日期	2022
ISSN	1352-2310
卷号	269
英文摘要	The temporal and spatial resolution of the emission inventory included into an air quality model plays a key role in the appropriate representation of air pollution events and background atmospheric chemistry. Here, we use the Weather Research and Forecasting coupled with Chemistry (WRF-Chem v4.0) model to perform high-resolution air quality simulations over the city of Buenos Aires, Argentina, with two different anthropogenic emissions datasets: the High-resolution Emissions Inventory of Argentina (GEAA-AEI) and the Emissions Database for Global Atmospheric Research - Hemispheric Transport of Air Pollution (EDGAR-HTAP). A local optimized configuration considering 3 nested domains with a horizontal grid size of 20 × 20 km, 4 × 4 km, and 1.3 × 1.3 km and the MOZART chemical scheme was used. The model performance for NO2, PM10, PM2.5, and O3 concentrations was validated against measurements from the existing air quality monitoring stations in the Buenos Aires Metropolitan Area (AMBA) during austral fall 2018. Our results show that the daytime concentrations of air pollutants are influenced by the shape and shift of the hourly emissions profile, especially for NO2 where the reduction in nighttime emissions decreased the mean model bias by ∼50%. PM10 and PM2.5 generally satisfied the model performance criteria, but underestimation tended to occur in the GEAA-AEI simulations and overestimation for the EDGAR-HTAP case. Comparison with TROPOMI-derived tropospheric NO2 columns showed a high positive correlation (r > 0.75) and a positive bias. We found large discrepancies between the spatial distribution patterns of the simulations within the innermost high-resolution domain centered on AMBA, mostly in suburban areas where no observations are available. We propose additional monitoring sites to address such differences and determine the size and shape of the main pollutant plume. We conclude that high-resolution air quality modeling is important within underdeveloped or developing South American cities that lack continuous air quality measurements, as it represents a powerful tool in supporting the design of governmental monitoring networks and air pollution mitigation policies. © 2021 Elsevier Ltd
关键词	EDGAR-HTAP GEAA-AEI High resolution emissions inventory South America air quality modeling TROPOMI WRF-Chem
语种	英语
scopus关键词	Air quality; Atmospheric chemistry; Atmospheric movements; Nitrogen oxides; Air quality models; Atmospheric research; Emission database for global atmospheric research - hemispheric transport of air pollution; Emission inventories; GEAA-AEI; High resolution emission inventory; High-resolution emission; South America; South america air quality modeling; TROPOMI; WRF/Chem; Weather forecasting; nitrogen dioxide; air quality; atmospheric pollution; correlation; emission inventory; mitigation; modeling; air monitoring; air pollutant; Argentina; Article; city; controlled study; forecasting; meteorology; particulate matter 10; particulate matter 2.5; plume; simulation; suburban area; weather; Air; Argentina; Buenos Aires; Niger [West Africa]
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248111
作者单位	National Scientific and Technical Research Council (CONICET), Argentina; Atmospheric and Environmental Studies Group (GEAA), National Technological University (UTN-FR Mendoza), Mendoza, 5501, Argentina; School of Natural Sciences, National University of Cuyo (FCEN-UNCuyo), Mendoza, 5501, Argentina; Institute for Interdisciplinary Science, (ICB-CONICET/UNCUYO), Mendoza, 5501, Argentina
推荐引用方式 GB/T 7714	López-Noreña A.I.,Berná L.,Tames M.F.,et al. Influence of emission inventory resolution on the modeled spatio-temporal distribution of air pollutants in Buenos Aires, Argentina, using WRF-Chem[J],2022,269.
APA	López-Noreña A.I.,Berná L.,Tames M.F.,Millán E.N.,Puliafito S.E.,&Fernandez R.P..(2022).Influence of emission inventory resolution on the modeled spatio-temporal distribution of air pollutants in Buenos Aires, Argentina, using WRF-Chem.ATMOSPHERIC ENVIRONMENT,269.
MLA	López-Noreña A.I.,et al."Influence of emission inventory resolution on the modeled spatio-temporal distribution of air pollutants in Buenos Aires, Argentina, using WRF-Chem".ATMOSPHERIC ENVIRONMENT 269(2022).