IDENTIFICATION OF POLLUTANT SOURCES IN THE CENTRAL CAMEROON REGION USING THE GAUSSIAN METHOD: CASE OF THE OYOM-ABANG THERMAL POWER PLANT-CAMEROON
The concerns about the origin of environmental pollution, derived from anthropogenic activities at industrial sites, are a major issue worldwide. Therefore; it will be important to look at the origin of these different entities that create this disorder. This article deals with the simulation of the identification of polluting sources from the Oyom-abang thermal power plant (CTO) using the Gaussian method. The aim is to highlight the different species from this plant that contribute effectively to the destruction of the atmosphere. These polluting species, which are easily dispersed in the atmosphere, are identified from their concentrations measured in kg m-3 . The measurement of the concentration of pollutants emanating from the point sources of pollution with the help of sensors was done in two and three dimensions (2D and 3D). The identified sources were represented in three dimensions (3D). The Gaussian model was used as a puff model to obtain the shape of the solution in a local scale. Fortran software was used to compile the numerical scheme of the advection-diffusion equation using the finite difference method centered in space and time. Finally, the MATLAB2016a software allowed us to obtain the results and position the sensors for efficient identification of the concentration from the source to be identified. For a more efficient identification of air pollution point sources, the optimal positioning of the sensors must also be determined. The Gaussian method is a reliable method for the study of pollution source identification at a local scale. Its simulation domain extends from 1 to 10 km and its applications are summarized on local impact and industrial risks.
ESSOMBO BATHELEMY, JEAN CALVIN SEUTCHE, BICKELLE AMBASSA GEORGES, ACHILLE CLOVICE GOUNE, JEAN LUC NSOUANDELE, GERMAIN HUBERT BEN-BOLIE, ATANGANA JACQUES