This study investigated the probable contamination of groundwater following hospital wastes disposal in a Government Reserved Area, Enugu, Nigeria. The ground water samples were collected from three distinct locations denoted as GW, GW and GW at distances of about 100, 200 and 350 m respectively from the hospital location. The samples were collected during the dry season (December 2015, January and February 2016) and wet season (June, July and August 2016) and analyzed with standard procedures. The level of contamination of groundwater in the area was generally higher in the wet season than in dry season. The degree of contamination varies with distance and hence in the following order GW > GW > GW in both seasons. The study revealed the presence of both pathogenic and non-pathogenic organisms and values of the determined physicochemical ranged from (0.02 ± 0.01-272 ± 2.22 mg/L) in both seasons. The hospital management should develop effective ways to manage their wastes to protect the environment and public health.

No abstract

The study investigated contributions of vehicular emissions to air pollution in Port Harcourt City, Nigeria for two years (24months), 2017-2018. The daytime pattern, monthly pattern, major traffic congested areas and factors that aid dispersion of air pollutants were considered. Using a closed-circuit television, traffic records were obtained at the chosen places by counting the number of vehicles passing at a spot for two hours in the morning, afternoon, and evening (Plate 5.1). For two years, all parameters were monitored once a month (Monday to Friday) in each location (2017-2018). Where appropriate, descriptive analysis, ANOVA, and multiple linear regressions were used to assess the data. The findings demonstrated that the mean concentrations of all pollutants followed a similar pattern in terms of temporal variation and were significantly (P < 0.05) different during the day.  Similarly, within the daytime, the mean traffic volume fluctuated greatly and considerably (P < 0.05) between the two research years. Furthermore, all of the pollutants showed a similar pattern in terms of temporal change, with the lowest concentrations in 2017 and the highest in 2018. Statistical analysis revealed that, the concentration of all the air pollutants and traffic volume varied significantly (p < 0.05) between 2017 and 2018.

No abstract

No abstract