Cross River University of Technology

About: Cross River University of Technology is a education organization based out in Calabar, Nigeria. It is known for research contribution in the topics: Population & Exergy. The organization has 465 authors who have published 507 publications receiving 2705 citations.

Climate change and the effect of sea-level rise on the coastal fishing communities of Cross River Estuary: the concept of floating sustainable settlements as a solution

Abstract: The effects of climate change are evident worldwide, from melting ice caps at the Poles to deforestation at the tropics, and to rising sea level along the world's coastal margins. The cause is due largely to atmospheric greenhouse activities. The anthropogenic emissions from fossil fuel have altered the compositional balance of carbon dioxide (an important greenhouse gas) in the atmosphere. The spread of climate change impact is wide and affect lands and peoples across national boundaries. Among the threatened are people who inhabit the vulnerable lands such as coastal barrier lands, troughs between highlands, marshlands, etc. For generations, the people who live by the coast of Cross River Estuary and the tributaries of Calabar, Imo and Great Kwa Rivers in Nigeria have practised their fishing occupation without serious hitches. This situation has changed of late due to uncertainties associated with unpredicted flooding attributed mainly to climate change. This paper examines a scenario of the likely effe...

Identifying salient beliefs underlying speeding behaviour: An elicitation study of nigerian drivers

Abstract: Using the Theory of Planned behaviour, as a theoretical framework, the current study sought to identify the salient beliefs underpinning speeding behaviour among commercial drivers in Nigeria. A sample of 13 drivers participated in one of three focus group discussions. Deductive content analysis revealed that although speeding was perceived as an adverse behaviour with negative consequences (e.g. loss of life and properties) across all groups, participants still believed the behaviour was significant (e.g. journey time reduction) in their day-to-day life. The study also revealed that male peers were more likely to encourage speeding, while family members, employers, and enforcement agencies were the important others who will disapprove of it. For control beliefs, the findings revealed that situational and environmental factors such as; personal emergencies and good road networks facilitate engagement in the behaviour while poor weather and heavy traffic served as impediments. In conclusion, practical implications and strategies for the development of speed awareness interventions are discussed.

Bacterial characterization and quantification of rainwater harvested in a rural community in Nigeria

Abstract: This study investigated the bacteriological quality of rainwater (RW) harvested from storage facilities located in Ekpoma, a rural community in South-South Nigeria, and the possible health implications resulting from its intermittent or incessant consumption. In this study, 162 samples were collected from different storage devices located in Idumegbo, Ihumudumu, Ujoelen, Emaudo, and Ukpenu Extension areas. In total, ten (10) bacteria species namely: Escherichia coli (E. coli), Salmonella typhimurium, Bacillus subtilis, Micrococcus luteum, Klebsiella pneumoniae, Pseudomonas aeruginosa, Clostridium perfringens, Enterococcus faecalis, Proteus vulgaris, Yersinia pestis were predominant in the samples. Specifically, 30.2 % of the samples contained E. coli, 16.6 % contained Micrococcus luteum, 14.8 % contained Bacillus subtilis, 12.96 % contained Klebsiella pneumoniae, 11.1 % contained Salmonella typhimurium, 7.41 % contained Clostridium perfringens, 3.7 % contained Proteus vulgaris and Yersinia pestis, and 1.85 % contained Pseudomonas aeruginosa and Enterococcus faecalis. The bacterial load (Heterotrophic Plate Count) measured in the water samples varies widely between 292 x 10 4 CFU/mL to 2455 x 10 4 CFU/mL, while E.coli count were in the range of 40 x 10 4 C F U / m L to 884 x 10 4 C F U / m L for all districts in both open and closed tanks. The ANOVA and Welch two sample t-test conducted for open and closed tanks also showed no statistical difference in E. coli counts across all locations (p

CFD evaluation of pressure drop across a 3-D filter housing for industrial gas turbine plants

Abstract: This paper investigated the flow distribution and total pressure drop across a designed 3-D filter housing integrated with a 3-stage filtration system using computational fluid dynamics (CFD). The filter housing model was proposed for a heavy-duty industrial gas turbine plant operating at an average ambient temperature of 20°C.The pressure drops across the classes of filters were 652.8 Pa, 2692.2 Pa, 887.8 Pa, 776.2 Pa and 2304.2 Pa for I-GB, GB-GA, GA-FA, FA-HA, and HA-O, respectively. The results obtained indicated an acceptable total pressure drop of 7.2% for the entire filter housing before filter clean-up. Although the CFD simulation result shows that small outlet flow velocity and transonic flows exist at the outlet of the filter housing, the designed filter housing was proved compatible with the studied GT, for inlet flow conditions between 600⩽Wair⩽610 kg/s and 60⩽vair⩽70 m/s for the air flow rate and velocity, respectively. Furthermore, the designed filter housing could be adopted for the studied GT and locations of Usan and Maiduguri in Nigeria, and other locations with similar environmental conditions.

Drivers of Bank Loyalty among Students in Nigeria: Positing the 12-Point Student Customer Bank Loyalty Index Model

Abstract: This paper identifies key determinants of bank loyalty among student customers of banks in Nigeria. Data were collected from a sample of 423 student bank customers from 4 tertiary institutions in southeast Nigeria. Factor analysis was used to reduce 39 variables on student customer loyalty into 12 underlying factors explaining loyalty behaviour among student bank customers, which are collectively labeled 12-Point Student Customers Bank Loyalty Index Model . We recommend that banks located around University campuses should employ the model as an invaluable strategic tool for marketing strategy design, student customers’ bank loyalty assessment, and competitors’ customer loyalty analysis.