A Study of Cloudwater Acidity Downwind of Urban and Power Plant Sources

African Anthropogenic Emissions Inventory for gases and particles from 1990 to 2015

10.5194/essd-2020-328 ◽

2020 ◽

Author(s):

Sekou Keita ◽

Catherine Liousse ◽

Eric-Michel Assamoi ◽

Thierno Doumbia ◽

N’Datchoh Evelyne Touré ◽

...

Keyword(s):

Power Plant ◽

Emission Inventory ◽

Pollutant Emissions ◽

Pollutant Emission ◽

Ancillary Data ◽

Gaseous Species ◽

Carbonaceous Particles ◽

Emissions Inventory ◽

Set Up ◽

Plant Sources

Abstract. There are very few African regional inventories providing biofuel and fossil fuel emissions. Within the framework of the DACCIWA project, we have developed an African regional anthropogenic emission inventory including the main African polluting sources (wood and charcoal burning, charcoal making, truck, car, buses and two wheels vehicles, open waste burning and flaring). To this end, a database on fuel consumption and emission factors specific to Africa was established, using the most recent measurements. New spatial proxies (road network, power plant geographical coordinates) were used to convert national emissions into gridded inventories at a 0.1° × 0.1° spatial resolution. This inventory includes carbonaceous particles (black and organic carbon) and gaseous species (CO, NOx, SO2 and NMVOC) for the period 1990–2015 with a yearly temporal resolution. We show that all pollutant emissions are globally increasing in Africa during the period 1990–2015 with a growth rate of 95 %, 86 %, 113 %, 112 %, 97 %, and 130 % for BC, OC, NOx, CO, SO2 and NMVOC, respectively. We also show that West Africa is the highest emitting region of BC, OC, CO and NMVOC, followed by East Africa, largely due to domestic fire and traffic activities, while Southern Africa and Northern Africa are the highest emitting regions of SO2 and NOx due to industrial and power plant sources. Emissions from this inventory are compared to other regional and global inventories and its uncertainties are quantified by a Monte Carlo simulation. Finally, this inventory highlights key pollutant emission sectors in which mitigation scenarios should focus on. The DACCIWA inventory (https://doi.org/10.25326/56, Keita et al., 2017) including the annual gridded emission inventory for Africa for the period 1990–2015 are distributed from the Emissions of atmospheric Compounds and Compilation of Ancillary Data (ECCAD) system (https://eccad.aeris-data.fr/). For review purposes, ECCAD has set up an anonymous repository where subsets of the DACCIWA data can be accessed directly https://www7.obs-mip.fr/eccad/essd-surf-emis-dacciwa/.

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