info:eu-repo/semantics/article
High-resolution atmospheric emission inventory of the argentine energy sector. Comparison with edgar global emission database
Date
2017-12Registration in:
Puliafito, Salvador Enrique; Allende, David Gabriel; Castesana, Paula Soledad; Ruggeri, María Florencia; High-resolution atmospheric emission inventory of the argentine energy sector. Comparison with edgar global emission database; Elsevier; Heliyon; 3; 12; 12-2017; e00489
2405-8440
CONICET Digital
CONICET
Author
Puliafito, Salvador Enrique
Allende, David Gabriel
Castesana, Paula Soledad
Ruggeri, María Florencia
Abstract
This study presents a 2014 high-resolution spatially disaggregated emission inventory (0.025°× 0.025° horizontal resolution), of the main activities in the energy sector in Argentina. The sub-sectors considered are public generation of electricity, oil refineries, cement production, transport (maritime, air, rail and road), residential and commercial. The following pollutants were included: greenhouse gases (CO2, CH4, N2O), ozone precursors (CO, NOx, VOC) and other specific air quality indicators such as SO2, PM10, and PM2.5. This work could contribute to a better geographical allocation of the pollutant sources through census based population maps. Considering the sources of greenhouse gas emissions, the total amount is 144 Tg CO2eq, from which the transportation sector emits 57.8 Tg (40%); followed by electricity generation, with 40.9 Tg (28%); residential + commercial, with 31.24 Tg (22%); and cement and refinery production, with 14.3 Tg (10%). This inventory shows that 49% of the total emissions occur in rural areas: 31% in rural areas of medium population density, 13% in intermediate urban areas and 7% in densely populated urban areas. However, if emissions are analyzed by extension (per square km), the largest impact is observed in medium and densely populated urban areas, reaching more than 20.3 Gg per square km of greenhouse gases, 297 Mg/km2 of ozone precursors gases and 11.5 Mg/km2of other air quality emissions. A comparison with the EDGAR global emission database shows that, although the total country emissions are similar for several sub sectors and pollutants, its spatial distribution is not applicable to Argentina. The road and residential transport emissions represented by EDGAR result in an overestimation of emissions in rural areas and an underestimation in urban areas, especially in more densely populated areas. EDGAR underestimates 60 Gg of methane emissions from road transport sector and fugitive emissions from refining activities.