Journal Article

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14-Years Aerosol Fingerprint Impact and Implications Over Daloa in Western Ivory Coast
(2019) Emetere ME; Okoro EE; Sanni SE
This study reports the trend and impact of aerosol loading over Duola from 2000 – 2013 using aerosol optical depth (AOD) data obtained for particulate matter in the region. The dataset was obtained from the Multi-angle Imaging Spectro-Radiometer (MISR). The secondary datasets that were generated from the primary data were aerosol loading, particles sizes, Angstrom parameter and the statistics of the primary dataset. We observed from the primary dataset that the aerosol loading values for the years under consideration varied but higher values were recorded in the years 2000 and 2007-2013. These high aerosol depths informed high aerosol concentrations over Duola from October through May. Years of high aerosol concentrations in the atmosphere were potential threats to human health; with high concentration of aerosol particles, the government should adopt and implement stricter environmental policies to reduce the industrial and human contributions to these air pollution. The Angstrom values calculations over the years were less than 1, thus, the aerosol particle size indicates size distributions dominated by coarse mode aerosols.
A GIS – based method for assessment and mapping of noise pollution in Ota metropolis, Nigeria
(2019) Oyedepo SO; Adeyemi GA; Olawole OC; Ohijeagbon OI; Fagbemi OK; Solomon R; Ongbali SO; Babalola OP; Dirisu JO; Efemwenkiekie UK; Adekeye T; Nwaokocha CN
A detailed method used for assessing and mapping noise pollution levels in Ota metropolis, Nigeria using ArcGIS 10.5 Software is presented in this paper. Noise readings were measured at a time interval of 30 min for each site considered using a precision grade sound level meter. The noise map developed was based on the computed values of average equivalent noise (LAeq) for the selected locations. Results of this study show that the A weighted sound level (LAeq), the background noise level (L10) and the peak noise level (L90) vary with location and period of the day due to traffic characteristics especially traffic volume, vehicle horns, vehicle mounted speakers, and unmuffled vehicles at road Junctions, major roads, motor parks and commercial centres. Based on the U.S. Department of Housing and Urban Development (HUD) recommendations and standards, only one (1) out of the 41 locations considered is under normally acceptable situation, while 12 locations are under normally unacceptable and the noise levels of the rest locations are clearly unacceptable. Results of this study are useful as reference and guideline for future planning and regulations on noise limit to be implemented for urban areas like Ota Metropolis. •Instrumentation used in this study for the environmental noise measurements consisted of a precision-grade sound-level meter – Model 8922 RS232.•The Geographical Positioning System (GPS) device (model: Magellan eXplorist 310) was used to obtain the exact coordinates of each location where noise level readings were recorded.•ArcGIS 10.5 software was used in this study to develop noise map for Ota Metropolis.
Agro-residues for clean electricity: in-lab trial of power generation from blended cocoa-kolanut wastes
(2022) Ajewole TO; Aworinde AK; Okedere OB; Somefun TE
As a way of wastes-to-voltage conversion, experimental benchtest trial of electricity generation from a blend of cocoa and kolanut harvest by-products is presented in this study. Bioethanol obtained from the blend, through a process of alcoholic fermentation, was mixed with gasoline at specific proportion and employed to fire a spark ignition engine that served as a prime-mover in driving a four-pole three-phase salient-pole synchronous machine. Performance of the driving machine, as the fuel-mix proportion and its speed of rotation varied, was studied. Likewise, the electric power output characteristic of the driven machine, when operated at its rated synchronous speed, was examined. It was found that the driving machine performed better on mixed fuel than pure gasoline. There were gradual increases in the torque and the power developed by the machine as the proportion of ethanol in the fuel-mix and the rotational speed increased. While the highest values of torque and power developed on using pure gasoline were 12.4 Nm and 2574 W respectively at 1900 rpm, 13.1 Nm torque and 2953 W power were obtained from the machine when ignited with 10%-bioethanol fuel-mix at the same speed. Also, with 90 Vdc excitation voltage and rotation at 1500 rpm synchronous speed, the driven machine continuously generated electricity at 207.6 Vrms (line-to-line), 1.169 A, 0.698 power factor, 48.17 Hz, 0.294 kW output. This study demonstrated the possibility of continuous generation of electric power from cocoa and kolanut wastes. Result obtained from the laboratory-based trial indicates that at such agricultural regions that are advantaged in the production of the two crops, harvest residues of the crops can be explored as a steady source of biofuel for off-grid microgrid electrification.
Air pollution assessment: a preliminary study towards citing industry
(2019) Emetere ME; Okoro EE; Adeyemi GA; Sanni SE
The spate of increased air pollution in the study area is a source of concern. In this research, we examine the spatial distribution of atmospheric aerosol and its danger to the life form that resides therein. Fifteen years primary (aerosol optical depth) dataset was obtained from the Multi-angle Imaging Spectro-Radiometer (MISR). The secondary datasets that was generated from the primary data were aerosol loading, particles sizes, Angstrom parameter and the statistics of the primary dataset. It was observed that if not controlled, the life form in the research area may be under unimaginable danger in the near future. Hence, industrialization projects would require the dataset for environmental assessment before citing industry in the geographical area.
An Overview of a Prolific University from Sustainable and Policy Perspective
(2019) Fayomi OO; Okokpujie IP; Fayomi OS; Udoye NE
This paper is centred on the holistic perspective of prolific university of the world leading university as a guild to Africa university and the lacking factor of Africa University in meeting up new standard in years to come. It compares the best Universities in the world on educational performance such as strength of the best University, Capacity of the prolific University, Research strength of the prolific University, staff input and welfare of the staff and global University rankings. The study involves higher education system, government policies for academic research and related factors to improve the proper running of education system to meet global demands. Furthermore, paper compared academic faculty and staff strength of the two best Universities in the six continents of the world, comprising of Africa. Asia, Austria/Oceania, Europe, North America and South America. Effort is geared towards the management research metrics performance, Total student intake, Faculty –Student ratio, World university rankings and overall score. Finally, this research also discus about a few challenges in university education and their possible solutions in terms of funding research projects, providing adequate training to faculty and staff, and setup committee to give quality academic structure and measures in a better academic environment. There are needs to develop a policy perspective that will aid the African Universities to increase their quality and standard their university to meet up with the world university standard.
Assessment of background radionuclides and gamma dose rate distribution in Urban-setting and its radiological significance
(2020) Joel ES; De DK; Omeje M; Adewoyin O; Olawole OC; Akinwumi A; Erubami S; Adeyemi GA
Background Awareness of the dangers associated with exposure to high radiation in the environment is necessary to avoid its health impact, especially when staying in-door. Method Assessment of gamma dose rate and radionuclides in urban settings of Ota has been carried out using a hand-held gamma detector to determine the hotspot of high radionuclides concentration in the study area. In this study, eighteen (18) stations were covered, gamma dose rate and radio-nuclides (Uranium-238, Thorium-232, and Potassium-40) emitting from the subsurface were measured. Results The result showed that the mean value for the measured dose rate of 45.06 nGh−1 is below the suggested value of 84 nGh−1 while the estimated mean values for the radionuclides are were 23.81, 45.35 and 77.82 Bq/kg respectively. The evaluated radium equivalent (Raeq), internal index (Hin), external index (Hex) and gamma index (Iy) ranges from 70.92 to 128.70 Bq/kg, 0.24 to 0.41, 0.19 to 0.35 and 0.25 to 0.46 respectively. Furthermore, the estimated value of the alpha index ranged between 0.05 and 0.15, and an annual effective dose rate from 0.33 to 0.55. The estimated mean value of excess cancer lifetime risk is 0.0015. Conclusions Therefore, the study suggests that the study area is safe for the residents. However, radioactivity concentration emanating from the subsurface of the setting should be monitored to avoid the environmental-health implication of accumulation of low gamma-dose, which can cause cancer of the lung due to anthropogenic activities.
Comparative assessment of data obtained using empirical models for path loss predictions in a university campus environment
(2018) Popoola SI; Atayero AA; Popoola OA
Empirical models are most widely used for path loss predictions because they are simple, easy to use, and require less computational efficiency when compared to deterministic models. A number of empirical path loss models have been developed for efficient radio network planning and optimization in different types of propagation environments. However, data that prove the suitability of these models for path loss predictions in a typical university campus propagation environment are yet to be reported in the literature. In this data article, empirical prediction models are comparatively assessed using the path loss data measured and predicted for a university campus environment. Field measurement campaigns are conducted at 1800 MHz radio frequency to log the actual path losses along three major routes within the campus of Covenant University, Nigeria. Path loss values are computed along the three measurement routes based on four popular empirical path loss models (Okumura-Hata, COST 231, ECC-33, and Egli). Datasets containing measured and predicted path loss values are presented in a spreadsheet file, which is attached to this data article as supplementary material. Path loss prediction data of the empirical models are compared to those of the measured path loss using first-order statistics, boxplot representations, tables, and graphs. In addition, correlation analysis, Analysis of Variance (ANOVA), and multiple comparison post-hoc tests are performed. The prediction accuracies of the empirical models are evaluated based on Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Standard Error Deviation (SED). In conclusion, the high-resolution path loss prediction datasets and the rich data exploration provided in this data article will help radio network engineers and academic researchers to determine the empirical model that is most suitable for path loss prediction in a typical university campus environment.
Comparison between experimental and satellite temperature datasets in Covenant University
(2018) Akinwumi SA; Omotosho TV; Usikalu MR; Odetunmibi OA; Ometan OO; Adewusi MO; Omeje M; Joel ES
This article contains the ground and satellite meteorological data sets of clear-sky temperature events for five years (2012–2016) in Covenant University, Ota, Ogun State, Nigeria. The satellite data were obtained from Atmospheric Infrared Sounder (AIRS) while the ground data information were acquired from Davis weather station data logger-vantage pro2. These data were acquired from propagation study that used same location (Lat: 6.67°N and Long: 3.23°E) for both satellite data and radiometer directed along the same path by providing information about the temperature. The data sets were assessed and evaluated by means of a descriptive statistics. There was perfect agreement between the two data. The peak temperature events occurs between the months of November and April for the five years of observation for both Ota and AIRS Satellite. The data from this article can be used for further studies on non-rainy attenuation effect in the study area.
Computation of human health risk in surface water in Ado-Odo Ota, Ogun State, Nigeria
(2018) Samuel OA; Theophilus TI; Praise God EC; Winifred AU
Heavy metals find their way into surface and groundwater due to degrading environmental conditions, and as such consistent monitoring to avoid the adverse health implications associated with the consumption of polluted water is required. This study examined the concentrations for Lead (Pb), Nickel (Ni), Zinc (Zn), Chromium (Cr), Cadmium (Cd), Copper (Cu) and Arsenic (As) in the Surface water of River Balogun in Ota, Ogun State, Nigeria during the wet season and estimated the human health risk resulting from prolonged consumption by children and adult of dissimilar age groups without treatment. Although there were persistent occurrence of Nickel (Ni), Copper (Cu), Zinc (Zn) and Arsenic (As) in all stations sampled, the health risk assessment conducted revealed that both population groups are more likely to be affected by high concentration levels of Arsenic than any other Heavy metal present.
Corrosion inhibition of A36 mild steel in 0.5 M acid medium using waste citrus limonum peels
(2022) Ayoola AA; Babalola R; Durodola BM; Alagbe EE; Agboola O; Adegbile EO
Research effort is being intensified on the establishment of organic substances that can actively perform the role of metal inhibition. Investigation on corrosion inhibition of A36 mild steel in 0.5 M H2SO4 medium using waste citrus limonum peels as inhibitor was carried out. Gravimetric tests (weight loss, corrosion rate and inhibition efficiency) involving the variation of citrus limonum peels inhibitor concentration (0–4 w/v%), corrosion time (0–12 h) and reaction temperature (28 °C and 45 °C) were conducted. Langmuir and Freundlich adsorption isotherms were considered in the establishment of the adsorption behavior of citrus limonum peels inhibitor on A36 mild steel surface. The thermodynamic parameters (adsorption equilibrium constant kads, change in Gibbs free energy ΔGads, change in heat of adsorption ΔHads and entropy change ΔSads) of the adsorbed inhibitor on mild steel surface were determined. The results of the study showed that 0.4 w/v% citrus limonum concentration gave highest inhibition efficiency of 94% and 92% on A36 mild steel at 28 °C and 45 °C respectively. And the surface adsorption of citrus limonum inhibitor on A36 mild steel was described by both the Langmuir and Freundlich adsorption isotherms. The negative values of ΔS, ΔGads, ΔHads indicated that the inhibitor adsorption is exothermic and spontaneous (physical adsorption). SEM/EDX analysis showed that inhibitor adsorption of citrus limonum was better at 28 °C compare to 45 °C, by giving a more evenly distributed particles at 0.4 w/v% inhibitor concentration.
Data analysis on the level of exposure to pollutions in industrial zone: A case study of Ewekoro and Ota Township
(2018) Fayomi GU; Wusu O; Mini SE; Fayomi OS; Kilanko O
This study focused on a comparative analysis of exposure to pollution in Ota and Ewekoro Township where we have concentration of industries that emits pollutant to the air. This was with a view to proffer solution to the negative effects of industrial activities on residents within industrial location. The study involved empirical observation and interview of residents. About 652 questionnaires were administered randomly on the residents. Analysis involved descriptive statistical tools including chi-square techniques. The results suggest that air pollution was most frequently reported in Ewekoro and Ota and this can help in the prediction of stringent factor in which industrial activities could pose to society.
Data based investigation of the energy metering type, billing and usage of sampled residents of Ota Community in Nigeria
(2018) Adekitan AI; Adetokun BB; Aligbe A; Shomefun T; Orimogunje A
Accurate energy metering and billing is a challenge in some developing countries. In Nigeria, the issues of inadequate power generation, transmission and distribution infrastructure are recurrent problems, coupled with inefficient energy metering which is a major problem that results in residential energy consumers being billed unfair energy charges by the Electricity Distribution Companies (DISCOs) for unused energy, and this has been termed “crazy bill”. For the energy sector to be effective, energy bills should be based on the actual energy usage and likewise customers must pay for used energy. To achieve this, the Nigerian Electricity Regulatory Commission (NERC) recommended the installation of prepaid meters for all customers, but as at today, there is no full compliance with this regulation. Power supply is grossly unreliable, and this has affected power quality due to frequent load shedding and power outages. The dataset presented in this article captures the type of apartment, the type of electrical appliances used by occupant, the average monthly energy bill paid for electricity, the use or non-use of alternative energy sources, the type of alternative energy sources used, and the type of energy meter used by sampled residents of the Ota community in Ogun State, Nigeria. The dataset was acquired using an investigative questionnaire to survey the residential consumers within the sampled space.
Data on artificial neural network and response surface methodology analysis of biodiesel production
(2020) Ayoola AA; Hymore FK; Omonhinmin CA; Babalola PO; Bolujo EO; Adeyemi GA; Babalola R; Olafadehan OA
The biodiesel production from waste soybean oil (using NaOH and KOH catalysts independently) was investigated in this study. The use of optimization tools (artificial neural network, ANN, and response surface methodology, RSM) for the modelling of the relationship between biodiesel yield and process parameters was carried out. The variables employed in the experimental design of biodiesel yields were methanol-oil mole ratio (6 – 12), catalyst concentration (0.7 – 1.7 wt/wt%), reaction temperature (48 – 62°C) and reaction time (50 – 90 min). Also, the usefulness of both the RSM and ANN tools in the accurate prediction of the regression models were revealed, with values of R-sq being 0.93 and 0.98 for RSM and ANN respectively.
Data on entrepreneurship education and entrepreneurial performance of aspiring entrepreneurs in selected Nigerian universities
(2018) Ogbari ME; Olokundun MA; Uzuegbunam J; Isiavwe DT; Ilogho JE; Obi JN; Moses CL
Entrepreneurs are individuals who have a constant feeling of desperation that is from time to time seen in organizations. While the number of entrepreneurship education programmes are increasing, their impact is under-researched and studies paint an unclear picture of the impact of entrepreneurship education. This present study presents data on the extent to which university entrepreneurship education programmes stimulate the entrepreneurial performance of aspiring entrepreneurs in Nigeria. Data was collected using a descriptive cross-sectional quantitative survey conducted among university students (N = 540) of selected institutions in Nigeria. Regression Analysis was used in confirming the hypotheses proposed in the study using the Statistical Package for Social Sciences (SPSS) version 22. University entrepreneurship education is confirmed to be a major source of inspirational triggers that positively impact on entrepreneurial performance of aspiring entrepreneurs in the selected universities in Nigeria. The field data set is made widely accessible to allow for critical inquiry.
Data on microbial assessment and physicochemical characteristics of sachet water samples obtained from three factories in Ota, Ogun state, Nigeria
(2018) Okunola OJ; Oba DO; Oranusi SU; Okagbue HI
The data described in this article were obtained in a study to assess the bacteriological and physicochemical properties of packaged sachet water sold for public consumption. Sixty sachet water samples from 3 different brands (A, B and C) produced and consumed in Ota, Ogun State was collected. Stratified sampling method was used. Samples were subjected to microbiological analysis using pour plate method and colony counter to count the organisms. The packaged water samples were assessed for the total coliform count, total plate count and count on Salmonella- Shigella agar. Physicochemical parameters were also assayed for and reported here. The analysis of the data presented here can be helpful in improving public health and creating awareness of the risk of consumption of satchel water.
Data on perceived excessive workload on faculty members׳ commitment
(2018) Oludayo OA; Akanbi CO; Falola HO; Aluko OA
For this article, the survey data on the effect of perceived excessive workload on faculty members’ commitment was presented. This data was gathered from an academic environment using the full time faculty members of Covenant University. The descriptive research design method was employed. The initial sample size used for the analysis was 228 faculty members but only 189 copies of questionnaire were returned. Statistical package for social sciences (SPSS) was used for the coding of the data. The validity and reliability of the research instrument were carried out using Cronbach Alpha. Descriptive analysis was used for the presentation of the data. This data is made publicly available to assist further study in the area of workload and employees commitment.
Data on zinc phosphating of mild steel and its behaviour
(2022) Ezekiel SN; Ayoola AA; Durodola B; Odunlami OA; Olawepo AV
Surface coating of A36 mild steel using zinc phosphating method was considered in this research work. The mild steel was immersed in zinc phosphating bath which was enhanced with calcium nanoparticles (obtained from snail shells and chicken eggshells). Data on zinc phosphating of the mild steel at different coating time (50 & 60 min) and coating temperatures (60 & 80 °C) was generated. To test the adhesion level of zinc on the mild steel, the coated mild steel was subjected to corrosion tests. And data on weight loss, corrosion rate and inhibition efficiency was generated. Surface morphology of the samples subjected to coating was determined through SEM analysis using SEM (JOEL-JSM 7600F). The data on the surface morphology of the samples is stored in the Mendeley Data repository with the link https://data.mendeley.com/datasets/bpbjfg5b5t/1
Data set on moral values and parental primary school choice: A study of Ado-Odo Ota, Local Government Area, Ogun State
(2021) Ahaka UA; Ola-David O; Okorie UE
The Nigerian society has been infiltrated with poor public and private schools due to underfunding by government and intervention of private individuals who prioritize profit over qualitative education. The implication is on quality of human capital in the country which interconnect with social and economic development. The dataset examine how parents selects schools for their wards and investigated the influence of socio-economic status, school academic reputation, moral reputation of school and location of school. The data involve a multistage sampling technique and administered 250 questionnaires to parents. Structural Equation, Modelling was applied to test the influence of school academic performance, location, moral values and social economic status on parents’ choice of schools for their children and wards.
Data set on work routine management among academic staff in selected Nigerian University: The eustress perspective
(2021) Peter A; Adeniji A; Oladele K; Peter F; Inegbedion H; Sajuyigbe A
Academics undergo stress, which negatively affects their performance and management does not seem to provide adequate organizational support for people suffering from occupational stress. This data captures eustress among university academic staff and coping strategies to improve performance. Previous studies on stress among academics focused on their experience of distress, with little attempt to explore eustress. particularly in the Nigerian context. A mixed method approach was adopted to elicit information from the sampled 444 respondents and twelve in-depth interviews were also conducted. Descriptive and inferential research methods were used for the analysis. The quantitative data were analyzed using Partial Least Square-Structural Equation Modelling (PLS-SEM), while the qualitative data were subjected to manual thematic analysis.
Dataset of daily variation of rain rate distribution at Ota in Southwest Nigeria
(2019) Ometan OO; Omotosho TV; Akinwumi SA; Adewusi MO; Boyo AO
This article presents the data analysis of daily rainfall rate events experienced in Ota, Southwest Nigeria, a tropical station. The meteorological data were measured using a tipping bucket rain gauge mounted at the roof top of the College of Science and Technology, Covenant University, Ota. The data analysed is from April to December 2012. Descriptive statistics were used to show the daily variations in rainfall rate. Hence, the daily variation for rain rate shows variation in the minimum and maximum value within each of the months considered which varies from 0.8 mm/h to 230.4 mm/h. The results from this data will help microwave communication experts have a proper understanding of rainfall rate in this locality. This will assist to ensure a proper and efficient design and planning of radiowave propagation and satellite communication systems in Southwest Nigeria.

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