Interaction of black carbon surface mass with meteorological variables and spatial pattern across the 36 states of tropical Nigeria
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Date
2024-08
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Remote Sensing Applications: Society and Environment Volume 35
Abstract
Black carbon (BC) has been linked to cardio-pulmonary diseases and lung cancer. It is
also the second largest contributor to climate change, after carbon dioxide (CO2
),
Effective mitigation of BC is of much benefits, but it requires detailed knowledge of its
spatial distribution, as well as the influence of local meteorology on the spread of the
pollutant. Many countries in sub-Sahara Africa including Nigeria, lack data on BC level.
There is also limited information on meteorological impact on BC spatial distribution.
This study therefore assessed the spatial and temporal distribution of BC across the 36
states of Nigeria and the influence of meteorology on the pollutant spread. Data on BC
surface mass (BCMASS) and seven meteorological variables (air temperature, relative
humidity, rainfall, wind speed, planetary boundary layer height (PBLH), atmospheric
pressure and wind direction) were obtained from Modern Era Retrospective analysis for
Research (MERRA-2). Spatial distribution of BCSMASS across 36 states of Nigeria,
and interaction with meteorology was studied using correlation analyses, Bayesian ridge
regression with marginal maximum likelihood estimation, and a Hybrid Single-Particle
Lagrangian Integrated Trajectory (HYSPLIT) model. There was significant (p < 0.05)
variation in BCSMASS across the states. The meteorological variables, except wind
direction, significantly influenced BCSMASS and they accounted for 63% of the
variation. Five-day backward trajectory modelled for each month of the year revealed
that northern Nigeria is majorly under the influence of the dry and dusty tropical
continental wind, and this could partially account for the lower BCSMASS concentration
in the region, compared to southern Nigeria. Based on population-weighted exposure,
states in southern Nigeria, especially the south-eastern part, should be prioritized in
planning mitigation, for effective climate action.