Authors:
Yao Kouassi Anderson; N’Dri Olga Rosemonde, Bodji Iridjé Marcelle, N’Zi Konan Gervais, Koné Tidiani Pages: 1 - 6 Abstract: The various management projects of hydroelectric dam on the Sassandra River have considerably modified the hydrological regime of Lake Buyo in recent years. In such a context, it seems appropriate to know the influence of water level fluctuations on aquatic organisms, in order to protect the biodiversity of the environment. The present study was conducted from June 2018 to May 2019 in Buyo Lake. The experimental fisheries carried out in-situ in the five sampling stations brought to light the dominance of the species Coptodon zillii which represents 87% of the spawners. Then, the monthly fish nest count showed that the highest nest densities were obtained at the mean depths between 192.2 and 196.2 m. This study haves shown that the increase in water level during prolonged closures of the spillway gates resulted in the disappearance of 35% of laying nests. In addition, the withdrawal of following to the prolonged opening of the gates caused the drying of 75% of laying nests in the spawning grounds of Lake Buyo. PubDate: 2023-02-19 DOI: 10.12691/env-11-1-1 Issue No:Vol. 11, No. 1 (2023)
Authors:
T.O. Ogunjinmi; O.F. Ogayemi, F. A. Akeredolu, J. A. Sonibare Pages: 7 - 14 Abstract: In this study, copper chloride modified activated carbon was synthesised by thermal monolayer dispersion (deposition) process. Characterization of the adsorbents were carried out using Fourier Transform Infrared Spectroscopy (FTIR), proximate analysis and ultimate analysis. Furthermore, Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were combined to determine the optimum conditions at which the synthesised adsorbent can remove carbon monoxide from the ambient environment. It cost implication was also determined. This was with a view to examine the Carbon Monoxide removal potential of the synthesised adsorbent. The characterization results showed that the prepared activated carbon are suitable precursor for the impregnation of copper (I) chloride. The RSM showed the optimum condition to be 20g CuCl/CSAC for 10mins with predicted CO adsorption of 77.01% with R2 value of 0.9843 and 15g of CuCl/BPAC for 10mins with predicted CO adsorption of 69.71% with R2 value of 0.9759. The ANN results were 25g CuCl/CSAC for 10mins with predicted CO adsorption of 77.15% with R2 value of 1 and 20g of CuCl/BPAC for 10mins with predicted CO adsorption of 69.17% with R2 value of 1. The ANN model indicates a better accuracy over RSM. PubDate: 2023-03-06 DOI: 10.12691/env-11-1-2 Issue No:Vol. 11, No. 1 (2023)
Open Access journal
[75 journals]
