Bayesian source apportionment and eco-probabilistic risk assessment of aliphatic and polycyclic aromatic hydrocarbons in sediments from the offshore area between the Deep Water Tano and West Cape three points blocks, Ghana.

This study investigates aliphatic and polycyclic aromatic hydrocarbons in sediments from offshore Ghana, focusing on their distribution, sources, and ecological risk. Samples were collected from 15 sites near Deep Water Tano and West Cape Three Points blocks. GC-FID and GC-MS analyses revealed higher concentrations in West Cape Three Points compared to Deep Water Tano.

Optimal selection of daily satellite precipitation product based on structural similarity index at 1 km resolution for the Pra catchment, Ghana.

Thirteen satellite precipitation products (SPPs), re-gridded to 1 km resolution, were evaluated in terms of the structural similarity index (SSI) over the Pra catchment in Ghana. Three SPP scenarios were considered: Scenario one (S1) was the original SPPs; Scenario two (S2) was bias-corrected SPPs; and Scenario three (S3) was the better of S1 and S2 for each wet day. For each scenario, the best SPP was selected to constitute the 14th SPP referred to as the BEST SPP.

Mapping Evapotranspiration of Agricultural Areas in Ghana.

Climate change is having an adverse effect on the environment especially in sub-Sahara Africa, where capacity for natural resource management such as water is very low. The scope of the effect on land use types have to be estimated to inform proper remedy. A combined estimation of transpiration and evaporation from plants and soil is critical to determine annual water requirement for different land use.

The large footprint of small-scale artisanal gold mining in Ghana.

Gold mining has played a significant role in Ghana's economy for centuries. Regulation of this industry has varied over time and while industrial mining is prevalent in the country, the expansion of artisanal mining, or Galamsey has escalated in recent years. Many of these artisanal mines are not only harmful to human health due to the use of Mercury (Hg) in the amalgamation process, but also leave a significant footprint on terrestrial ecosystems, degrading and destroying forested ecosystems in the region.

A Markov chain Monte Carlo (MCMC) methodology with bootstrap percentile estimates for predicting presidential election results in Ghana.

Although, there exists numerous literature on the procedure for forecasting or predicting election results, in Ghana only opinion poll strategies have been used. To fill this gap, the paper develops Markov chain models for forecasting the 2016 presidential election results at the Regional, Zonal (i.e.