Osadolor Izinyon - Academia.edu (original) (raw)

Papers by Osadolor Izinyon

Research paper thumbnail of PERFORMANCE EVALUATION OF Fe (III) ADSORPTION ONTO BREWERS’ SPENT GRAIN

Nigerian Journal of Technology, 2016

This work investigated the performance of locally available brewer's spent grain (BSG) as an adso... more This work investigated the performance of locally available brewer's spent grain (BSG) as an adsorbent for the removal of Fe (III) from aqueous solution. The brewer's spent grain (BSG) was collected, processed and characterized using scanning electron microscope (SEM) and X-ray fluorescence (XRF) to assess its potential for the removal of Fe (III). Thereafter, batch adsorption technique was employed to evaluate the effects of adsorption variables such as pH, initial metal ion concentration, adsorbent dosage and contact time on the sorption efficiency of BSG. The maximum adsorption time was fixed at 120minutes with a stirring speed of 100rpm. Experimental data obtained were then analyzed using selected isotherms and kinetic models such as Langmuir isotherm, Freundlich isotherm, Pseudo-First order and Pseudo-Second order kinetic models. SEM result revealed the presence of microporous structure within the surface of BSG thus making it a good candidate for metal ion removal. Based on the linear coefficient of determination (r 2), it was observed that the experimental data fitted well with the Langmuir isotherm model (r 2 = 0.9940 for raw BSG and 0.9946 for the treated BSG). In addition, the reaction mechanism that accompanies the adsorption of Fe (III) unto BSG was best described by the pseudo-second order kinetic model (r 2 = 0.9823 for raw BSG and 0.981 for the treated BSG). Finally, maximum adsorption efficiencies of 66% and 77% were obtained for both the raw and treated BSG for optimum adsorption time of 120 minutes, pH 8.0 and adsorbent dose of 1.0g/50ml solution.

Research paper thumbnail of Flood Monitoring and Flood Risk Assessment in Agenebode, Edo State, Nigeria

International Journal of Engineering Research and Applications, 2017

Flooding is a serious natural disaster that has become a recurrent event in many parts of the wor... more Flooding is a serious natural disaster that has become a recurrent event in many parts of the world causing huge loss of lives and properties. This study analyses flood risk potential in Agenebode, Edo state, Nigeria. Flood frequency analysis was carried out on discharge data from the River Niger at Onitsha from 1960-2006 as the discharge from this river is the primary cause of flooding of the study area. Log-Normal, Log-Pearson Type III and Gumbel probability distribution models were used to test for the most appropriate projection for discharge for different return periods.From the analysis, Log-normal distribution was selected as the most appropriate probability distribution for the series in order to determine projected flows for the river for different return periods. The rainfall pattern for the study area was analysed using gauge values for the period 1983-2010. Flood hazard assessment was carried out with the aid of ArcMap using the topographical feature data of the area, Digital Elevation Model obtained from Shuttle Radar Topographical Mission (SRTM) hole-filled seamless data and historical records of the previous flood occurrence. A flood hazard map produced indicated that about 1.8 km 2 (72% of the total built-up area) of the area is at risk of flooding putting approximately 481 people at direct risk of flooding. This information is useful for providing ameliorative resources for the inhabitants in the event of a flood occurrence.

Research paper thumbnail of Optimal combination of food waste and maize husk for enhancement of biogas production: Experimental and modelling study

Environmental Technology & Innovation, 2015

h i g h l i g h t s • Optimum combination of 75% FW and 25% MH occurred in digester B. • Increase... more h i g h l i g h t s • Optimum combination of 75% FW and 25% MH occurred in digester B. • Increase in MH above 25% decreased biogas production. • Post hoc Test in ANOVA showed a significant difference in digesters' yields. • Gompertz model simulation results corroborated the experimental findings.

Research paper thumbnail of The effect of organic loading rates (OLRs) on the performances of food wastes and maize husks anaerobic co-digestion in continuous mode

Sustainable Energy Technologies and Assessments, 2015

A continuous anaerobic digestion experiment was carried out to investigate the co-digestion of 75... more A continuous anaerobic digestion experiment was carried out to investigate the co-digestion of 75% food waste and 25% maize husk at different organic loading rates (OLRs) of 1–4.5 gVS/L/d. Results obtained showed that pH fluctuated between 7.3 and 7.5 and total alkalinity (TA) between 0.4 and 6.7 g CaCO3/L, indicating that the system was not inhibited by acidification. The range of the ratio of volatile fatty acid (VFA) to TA of 0.06–0.25 was also well below 0.4 and showed that the anaerobic co-digestion was stable and feasible. Though there was no significant difference ( p

Research paper thumbnail of The effect of organic loading rates (OLRs) on the performances of food wastes and maize husks anaerobic co-digestion in continuous mode

Sustainable Energy Technologies and Assessments, 2015

A continuous anaerobic digestion experiment was carried out to investigate the co-digestion of 75... more A continuous anaerobic digestion experiment was carried out to investigate the co-digestion of 75% food waste and 25% maize husk at different organic loading rates (OLRs) of 1-4.5 gVS/L/d. Results obtained showed that pH fluctuated between 7.3 and 7.5 and total alkalinity (TA) between 0.4 and 6.7 g CaCO3/L, indicating that the system was not inhibited by acidification. The range of the ratio of volatile fatty acid (VFA) to TA of 0.06-0.25 was also well below 0.4 and showed that the anaerobic co-digestion was stable and feasible. Though there was no significant difference (p < 0.05) between biogas yields at OLRs of 3.5 and 4.5 gVS/L/d, the methane content at OLR of 4.5 gVS/L/d was higher than that of 3.5 gVS/L/d and suggests that carbon dioxide producing microorganisms were more active in OLR of 3.5 gVS/L/d. The OLR of 4.5 gVS/L/d was therefore found to be the most satisfactory for large scale operation of anaerobic digesters for co-digestion of food waste and maize husk. From a separate batch test, the average biogas yield of 0.50 ± 0.04, 0.24 ± 0.02 and 1.31 ± 0.07 L/gVS were obtained from digesters A, B and C, respectively, indicating that the addition of maize husk to digester C significantly improved the production of biogas from food waste when compared to the biogas yield of digester A that contained food waste alone. Digester B with 100% maize husk was by far the least performed digester.

Research paper thumbnail of GIS and RS Techniques for Identification of Hydropower Potential Sites in Benin-Owena River Basin in Nigeria

International Journal of Renewable Energy Research, 2020

Nigeria’s overall energy access is 60% with 86% urban and 34% rural rates, and over 20 million ho... more Nigeria’s overall energy access is 60% with 86% urban and 34% rural rates, and over 20 million households without power in 2018; there is need for continuous investment in Nigeria’s energy sector due to the epileptic supply nature. Sustainable way to alleviate poverty in rural communities is to establish clean and affordable energy initiatives. Reports indicated that hydropower is a feasible alternative in Nigeria’s South-South geo-political region, with huge potential for Small Hydropower (SHP) development. In this study, the SHP potentials of Okhunwan river in the Benin-Owena drainage basin, Nigeria is investigated. The discharge was computed by the NRCS-CN model using 2018 monthly PERSIANN-CDR, slope, CN data, etc. as inputs and statistically compared with observed data collected from gauging station; indicating 0.75 as average correlation between simulated and observed. Validation between NIMET data from Benin City Synoptic station and PERSIANN datasets for Okhunwan sub-basin in...

Research paper thumbnail of Monitoring of Soil Loss from Erosion Using Geoinformatics and Geotechnical Engineering Methods

Journal of civil engineering and architecture, 2013

In this study, the position of all major rill and gully erosion sites were located using hand hel... more In this study, the position of all major rill and gully erosion sites were located using hand held GPS (Global Positioning System) receiver during reconnaissance surveys. Based on severity rating and geopolitical considerations, six of the erosion gully sites were selected for monitoring. Control points were established around each of the gully sites using three Leica 500 dual frequency GPS receivers by method of DGPS (differential GPS) surveys. Detailed topographical survey of the gully sites was carried out using total stations. With the aid of SPOT satellite imageries in combination with total station data and GIS (geographic information system) location maps, contoured maps along with DEM (digital elevation model) were generated using ARCGIS 9.2 software. The morphological parameters of the gullies including depth, width, length and area of the gullies were determined. Volumetric estimate of the amount of soil loss from gully erosion was also carried out. Soil samples were recov...

Research paper thumbnail of Evaluation of Some Flood Prediction Models for Three Flow Gauging Stations in Upper Benue River Basin in Nigeria – Part 1

Nigerian Journal of Technology, 2013

The annual maximum series of flow discharge data for three flow gauging stations located at R... more The annual maximum series of flow discharge data for three flow gauging stations located at River Donga at Manya,, River Donga at Donga and River Bantaji at Suntai within Upper Benue River Basin in Nigeria were fitted each with three probability distribution models namely ;Log normal, Extreme value Type 1 and Log Pearson Type III. The model results were subjected to four specific measures of error in prediction (i.e., RMSE, RRMSE, CC and MAE) and a scoring scheme on the basis of which best fit model for each station was selected. The best fit probability distribution models for the stations are Extreme value Type 1 (EV-I), Log Pearson Type III and Log normal for the stations at River Donga at Manya, River Donga at Donga and River Bantaji at Suntai respectively. The models can provide estimates of flood quantiles for planning, design, construction and operation of water resources projects within the river systems.

Research paper thumbnail of Regional Flood Frequency Analysis of Catchments in Upper Benueriver Basin Using Index Flood Procedure

Nigerian Journal of Technology, 2013

Regional flood frequency analysis was conducted for catchments within Upper Benue river basin in ... more Regional flood frequency analysis was conducted for catchments within Upper Benue river basin in Nigeria using the Index flood (IF) procedure utilizing discharge data collected from six gauging stations located within the region tested to be hydrologically homogeneous. The annual maximum discharges of the gauging stations were analyzed to develop: a regional frequency curve; regional regression equations to estimate peak annual flow for specified return periods (Q T ) and a regional regression equation to estimate the mean annual flood (Q 2.33 ) using catchment parameters. The regional regression equation developed for the mean annual flood (Q 2.33 ) has standard error (S e ) and coefficient of determination (R 2 ) values of 0.08175 and 0.9613 respectively. The equation can be applied to sites whether gauged or ungauged within the region to estimate the design flood (Q T ) needed for hydrologic modeling and engineering design of hydraulic structures. The IF procedure is particula...

Research paper thumbnail of Modelling, Optimization and Prediction of Sorption of Pb(II) And Mn(II) Ions From Wastewater onto Acid Activated Shale Using Adaptive Neuro Fuzzy Inference Systems (ANFIS), Response Surface Methodology (RSM) and Modular Neural Network (MNN)

Batch experimental technique was employed to evaluate the effects of adsorption variables such as... more Batch experimental technique was employed to evaluate the effects of adsorption variables such as initial metal ion concentration, adsorbent dose, pH, and contact time on the sorption efficiency of Pb(II) and Mn(II) ions onto acid activated shale. To select the input variables with the highest significant contributions towards the sorption of Pb(II) and Mn(II) ions onto acid activated shale, adaptive neuro-fuzzy (ANFIS) was employed. Thereafter, statistical design of experiment (DOE) using central composite design was used to generate the data for modelling and prediction using a modular neural network (MNN). To produce accurate network architecture for prediction, the input data were first normalized to avoid the problems of weight variation. Thereafter, different training algorithm and hidden neurons were selected and tested to ascertain the optimum number of hidden neuron and the best training algorithm that will produce the most accurate network. The linear coefficient of determ...

Research paper thumbnail of Assessment of Show Star Grass (Melampodium Paludosum) for Phytoremediation of Motor Oil Contaminated Soil

Environmental pollution by petroleum and petroleum based products is a serious concern in polluti... more Environmental pollution by petroleum and petroleum based products is a serious concern in pollution studies because of their structural complexity, slow biodegradation, bio- magnification potential and the serious health hazards associated with their release into the environment. Petroleum and allied products may enter the soil environment from ruptured pipelines, from land disposal of refinery products, petroleum wastes, leaking storage tanks, accidental spill and sometimes outright sabotage. Physical, chemical and thermal methods are already being used to remediate oil contaminated sites but their enormous costs, adverse effects on the environment and low efficiencies associated with these techniques limit their use and availability hence the use of biological methods like phytoremediation are being evaluated as alternative for the removal of pollutants because of their cost and safety of implementation.In this study, we investigate the potential of show stat grass ( Melampodium P...

Research paper thumbnail of Probability distribution models for flood prediction in Upper Benue River Basin – Part II

The annual maximum series of discharge or flow data for 32 years (1955 to 1986) at three flow ga... more The annual maximum series of discharge or flow data for 32 years (1955 to 1986) at three flow gauging stations namely; River Katsina Ala at Serav, River Taraba at Garsol and River Mayokam at Mayokam located within Upper Benue river basin of Nigeria were each fitted with three probability distribution models viz ;Log normal, Extreme value Type 1 and Log Pearson Type III and subjected to four specific measures of errors in prediction i.e., RMSE, RRMSE, CC and MAE in order to select the best probability distribution model that fits the observed flow data at the stations. The best fit distribution model at each station was then utilized to predict return period floods for each station for return periods of 2, 5, 10, 25, 50, 100, 200, and 500 years. The best fit probability distribution models obtained for the different stations are Log Normal, Log Normal and Log Pearson Type III for the stations at River Katsina Ala at Serav, River Taraba at Garsol and River Mayokam at M...

Research paper thumbnail of Development of simple-to-apply biogas kinetic models for the co-digestion of food waste and maize husk

Bioresource Technology, 2015

h i g h l i g h t s Many existing biogas kinetic models are complex and substrate specific. BIK a... more h i g h l i g h t s Many existing biogas kinetic models are complex and substrate specific. BIK and MBPPSA models were hence developed in this study. BIK model was used for estimation of first order reaction rate constant (k). MBPPSA model was used for prediction of maximum biogas production potential (A) and digesters' stability. Developed MBPPSA and BIK models would be useful for feasibility studies and plant design.

Research paper thumbnail of Flood Monitoring and Flood Risk Assessment in Agenebode, Edo State, Nigeria

Flooding is a serious natural disaster that has become a recurrent event in many parts of the wor... more Flooding is a serious natural disaster that has become a recurrent event in many parts of the world causing huge loss of lives and properties. This study analyses flood risk potential in Agenebode, Edo state, Nigeria. Flood frequency analysis was carried out on discharge data from the River Niger at Onitsha from 1960-2006 as the discharge from this river is the primary cause of flooding of the study area. Log-Normal, Log-Pearson Type III and Gumbel probability distribution models were used to test for the most appropriate projection for discharge for different return periods.From the analysis, Log-normal distribution was selected as the most appropriate probability distribution for the series in order to determine projected flows for the river for different return periods. The rainfall pattern for the study area was analysed using gauge values for the period 1983-2010. Flood hazard assessment was carried out with the aid of ArcMap using the topographical feature data of the area, Di...

Research paper thumbnail of PERFORMANCE EVALUATION OF Fe (III) ADSORPTION ONTO BREWERS’ SPENT GRAIN

Nigerian Journal of Technology, 2016

This work investigated the performance of locally available brewer's spent grain (BSG) as an adso... more This work investigated the performance of locally available brewer's spent grain (BSG) as an adsorbent for the removal of Fe (III) from aqueous solution. The brewer's spent grain (BSG) was collected, processed and characterized using scanning electron microscope (SEM) and X-ray fluorescence (XRF) to assess its potential for the removal of Fe (III). Thereafter, batch adsorption technique was employed to evaluate the effects of adsorption variables such as pH, initial metal ion concentration, adsorbent dosage and contact time on the sorption efficiency of BSG. The maximum adsorption time was fixed at 120minutes with a stirring speed of 100rpm. Experimental data obtained were then analyzed using selected isotherms and kinetic models such as Langmuir isotherm, Freundlich isotherm, Pseudo-First order and Pseudo-Second order kinetic models. SEM result revealed the presence of microporous structure within the surface of BSG thus making it a good candidate for metal ion removal. Based on the linear coefficient of determination (r 2), it was observed that the experimental data fitted well with the Langmuir isotherm model (r 2 = 0.9940 for raw BSG and 0.9946 for the treated BSG). In addition, the reaction mechanism that accompanies the adsorption of Fe (III) unto BSG was best described by the pseudo-second order kinetic model (r 2 = 0.9823 for raw BSG and 0.981 for the treated BSG). Finally, maximum adsorption efficiencies of 66% and 77% were obtained for both the raw and treated BSG for optimum adsorption time of 120 minutes, pH 8.0 and adsorbent dose of 1.0g/50ml solution.

Research paper thumbnail of Flood Monitoring and Flood Risk Assessment in Agenebode, Edo State, Nigeria

International Journal of Engineering Research and Applications, 2017

Flooding is a serious natural disaster that has become a recurrent event in many parts of the wor... more Flooding is a serious natural disaster that has become a recurrent event in many parts of the world causing huge loss of lives and properties. This study analyses flood risk potential in Agenebode, Edo state, Nigeria. Flood frequency analysis was carried out on discharge data from the River Niger at Onitsha from 1960-2006 as the discharge from this river is the primary cause of flooding of the study area. Log-Normal, Log-Pearson Type III and Gumbel probability distribution models were used to test for the most appropriate projection for discharge for different return periods.From the analysis, Log-normal distribution was selected as the most appropriate probability distribution for the series in order to determine projected flows for the river for different return periods. The rainfall pattern for the study area was analysed using gauge values for the period 1983-2010. Flood hazard assessment was carried out with the aid of ArcMap using the topographical feature data of the area, Digital Elevation Model obtained from Shuttle Radar Topographical Mission (SRTM) hole-filled seamless data and historical records of the previous flood occurrence. A flood hazard map produced indicated that about 1.8 km 2 (72% of the total built-up area) of the area is at risk of flooding putting approximately 481 people at direct risk of flooding. This information is useful for providing ameliorative resources for the inhabitants in the event of a flood occurrence.

Research paper thumbnail of Optimal combination of food waste and maize husk for enhancement of biogas production: Experimental and modelling study

Environmental Technology & Innovation, 2015

h i g h l i g h t s • Optimum combination of 75% FW and 25% MH occurred in digester B. • Increase... more h i g h l i g h t s • Optimum combination of 75% FW and 25% MH occurred in digester B. • Increase in MH above 25% decreased biogas production. • Post hoc Test in ANOVA showed a significant difference in digesters' yields. • Gompertz model simulation results corroborated the experimental findings.

Research paper thumbnail of The effect of organic loading rates (OLRs) on the performances of food wastes and maize husks anaerobic co-digestion in continuous mode

Sustainable Energy Technologies and Assessments, 2015

A continuous anaerobic digestion experiment was carried out to investigate the co-digestion of 75... more A continuous anaerobic digestion experiment was carried out to investigate the co-digestion of 75% food waste and 25% maize husk at different organic loading rates (OLRs) of 1–4.5 gVS/L/d. Results obtained showed that pH fluctuated between 7.3 and 7.5 and total alkalinity (TA) between 0.4 and 6.7 g CaCO3/L, indicating that the system was not inhibited by acidification. The range of the ratio of volatile fatty acid (VFA) to TA of 0.06–0.25 was also well below 0.4 and showed that the anaerobic co-digestion was stable and feasible. Though there was no significant difference ( p

Research paper thumbnail of The effect of organic loading rates (OLRs) on the performances of food wastes and maize husks anaerobic co-digestion in continuous mode

Sustainable Energy Technologies and Assessments, 2015

A continuous anaerobic digestion experiment was carried out to investigate the co-digestion of 75... more A continuous anaerobic digestion experiment was carried out to investigate the co-digestion of 75% food waste and 25% maize husk at different organic loading rates (OLRs) of 1-4.5 gVS/L/d. Results obtained showed that pH fluctuated between 7.3 and 7.5 and total alkalinity (TA) between 0.4 and 6.7 g CaCO3/L, indicating that the system was not inhibited by acidification. The range of the ratio of volatile fatty acid (VFA) to TA of 0.06-0.25 was also well below 0.4 and showed that the anaerobic co-digestion was stable and feasible. Though there was no significant difference (p < 0.05) between biogas yields at OLRs of 3.5 and 4.5 gVS/L/d, the methane content at OLR of 4.5 gVS/L/d was higher than that of 3.5 gVS/L/d and suggests that carbon dioxide producing microorganisms were more active in OLR of 3.5 gVS/L/d. The OLR of 4.5 gVS/L/d was therefore found to be the most satisfactory for large scale operation of anaerobic digesters for co-digestion of food waste and maize husk. From a separate batch test, the average biogas yield of 0.50 ± 0.04, 0.24 ± 0.02 and 1.31 ± 0.07 L/gVS were obtained from digesters A, B and C, respectively, indicating that the addition of maize husk to digester C significantly improved the production of biogas from food waste when compared to the biogas yield of digester A that contained food waste alone. Digester B with 100% maize husk was by far the least performed digester.

Research paper thumbnail of GIS and RS Techniques for Identification of Hydropower Potential Sites in Benin-Owena River Basin in Nigeria

International Journal of Renewable Energy Research, 2020

Nigeria’s overall energy access is 60% with 86% urban and 34% rural rates, and over 20 million ho... more Nigeria’s overall energy access is 60% with 86% urban and 34% rural rates, and over 20 million households without power in 2018; there is need for continuous investment in Nigeria’s energy sector due to the epileptic supply nature. Sustainable way to alleviate poverty in rural communities is to establish clean and affordable energy initiatives. Reports indicated that hydropower is a feasible alternative in Nigeria’s South-South geo-political region, with huge potential for Small Hydropower (SHP) development. In this study, the SHP potentials of Okhunwan river in the Benin-Owena drainage basin, Nigeria is investigated. The discharge was computed by the NRCS-CN model using 2018 monthly PERSIANN-CDR, slope, CN data, etc. as inputs and statistically compared with observed data collected from gauging station; indicating 0.75 as average correlation between simulated and observed. Validation between NIMET data from Benin City Synoptic station and PERSIANN datasets for Okhunwan sub-basin in...

Research paper thumbnail of Monitoring of Soil Loss from Erosion Using Geoinformatics and Geotechnical Engineering Methods

Journal of civil engineering and architecture, 2013

In this study, the position of all major rill and gully erosion sites were located using hand hel... more In this study, the position of all major rill and gully erosion sites were located using hand held GPS (Global Positioning System) receiver during reconnaissance surveys. Based on severity rating and geopolitical considerations, six of the erosion gully sites were selected for monitoring. Control points were established around each of the gully sites using three Leica 500 dual frequency GPS receivers by method of DGPS (differential GPS) surveys. Detailed topographical survey of the gully sites was carried out using total stations. With the aid of SPOT satellite imageries in combination with total station data and GIS (geographic information system) location maps, contoured maps along with DEM (digital elevation model) were generated using ARCGIS 9.2 software. The morphological parameters of the gullies including depth, width, length and area of the gullies were determined. Volumetric estimate of the amount of soil loss from gully erosion was also carried out. Soil samples were recov...

Research paper thumbnail of Evaluation of Some Flood Prediction Models for Three Flow Gauging Stations in Upper Benue River Basin in Nigeria – Part 1

Nigerian Journal of Technology, 2013

The annual maximum series of flow discharge data for three flow gauging stations located at R... more The annual maximum series of flow discharge data for three flow gauging stations located at River Donga at Manya,, River Donga at Donga and River Bantaji at Suntai within Upper Benue River Basin in Nigeria were fitted each with three probability distribution models namely ;Log normal, Extreme value Type 1 and Log Pearson Type III. The model results were subjected to four specific measures of error in prediction (i.e., RMSE, RRMSE, CC and MAE) and a scoring scheme on the basis of which best fit model for each station was selected. The best fit probability distribution models for the stations are Extreme value Type 1 (EV-I), Log Pearson Type III and Log normal for the stations at River Donga at Manya, River Donga at Donga and River Bantaji at Suntai respectively. The models can provide estimates of flood quantiles for planning, design, construction and operation of water resources projects within the river systems.

Research paper thumbnail of Regional Flood Frequency Analysis of Catchments in Upper Benueriver Basin Using Index Flood Procedure

Nigerian Journal of Technology, 2013

Regional flood frequency analysis was conducted for catchments within Upper Benue river basin in ... more Regional flood frequency analysis was conducted for catchments within Upper Benue river basin in Nigeria using the Index flood (IF) procedure utilizing discharge data collected from six gauging stations located within the region tested to be hydrologically homogeneous. The annual maximum discharges of the gauging stations were analyzed to develop: a regional frequency curve; regional regression equations to estimate peak annual flow for specified return periods (Q T ) and a regional regression equation to estimate the mean annual flood (Q 2.33 ) using catchment parameters. The regional regression equation developed for the mean annual flood (Q 2.33 ) has standard error (S e ) and coefficient of determination (R 2 ) values of 0.08175 and 0.9613 respectively. The equation can be applied to sites whether gauged or ungauged within the region to estimate the design flood (Q T ) needed for hydrologic modeling and engineering design of hydraulic structures. The IF procedure is particula...

Research paper thumbnail of Modelling, Optimization and Prediction of Sorption of Pb(II) And Mn(II) Ions From Wastewater onto Acid Activated Shale Using Adaptive Neuro Fuzzy Inference Systems (ANFIS), Response Surface Methodology (RSM) and Modular Neural Network (MNN)

Batch experimental technique was employed to evaluate the effects of adsorption variables such as... more Batch experimental technique was employed to evaluate the effects of adsorption variables such as initial metal ion concentration, adsorbent dose, pH, and contact time on the sorption efficiency of Pb(II) and Mn(II) ions onto acid activated shale. To select the input variables with the highest significant contributions towards the sorption of Pb(II) and Mn(II) ions onto acid activated shale, adaptive neuro-fuzzy (ANFIS) was employed. Thereafter, statistical design of experiment (DOE) using central composite design was used to generate the data for modelling and prediction using a modular neural network (MNN). To produce accurate network architecture for prediction, the input data were first normalized to avoid the problems of weight variation. Thereafter, different training algorithm and hidden neurons were selected and tested to ascertain the optimum number of hidden neuron and the best training algorithm that will produce the most accurate network. The linear coefficient of determ...

Research paper thumbnail of Assessment of Show Star Grass (Melampodium Paludosum) for Phytoremediation of Motor Oil Contaminated Soil

Environmental pollution by petroleum and petroleum based products is a serious concern in polluti... more Environmental pollution by petroleum and petroleum based products is a serious concern in pollution studies because of their structural complexity, slow biodegradation, bio- magnification potential and the serious health hazards associated with their release into the environment. Petroleum and allied products may enter the soil environment from ruptured pipelines, from land disposal of refinery products, petroleum wastes, leaking storage tanks, accidental spill and sometimes outright sabotage. Physical, chemical and thermal methods are already being used to remediate oil contaminated sites but their enormous costs, adverse effects on the environment and low efficiencies associated with these techniques limit their use and availability hence the use of biological methods like phytoremediation are being evaluated as alternative for the removal of pollutants because of their cost and safety of implementation.In this study, we investigate the potential of show stat grass ( Melampodium P...

Research paper thumbnail of Probability distribution models for flood prediction in Upper Benue River Basin – Part II

The annual maximum series of discharge or flow data for 32 years (1955 to 1986) at three flow ga... more The annual maximum series of discharge or flow data for 32 years (1955 to 1986) at three flow gauging stations namely; River Katsina Ala at Serav, River Taraba at Garsol and River Mayokam at Mayokam located within Upper Benue river basin of Nigeria were each fitted with three probability distribution models viz ;Log normal, Extreme value Type 1 and Log Pearson Type III and subjected to four specific measures of errors in prediction i.e., RMSE, RRMSE, CC and MAE in order to select the best probability distribution model that fits the observed flow data at the stations. The best fit distribution model at each station was then utilized to predict return period floods for each station for return periods of 2, 5, 10, 25, 50, 100, 200, and 500 years. The best fit probability distribution models obtained for the different stations are Log Normal, Log Normal and Log Pearson Type III for the stations at River Katsina Ala at Serav, River Taraba at Garsol and River Mayokam at M...

Research paper thumbnail of Development of simple-to-apply biogas kinetic models for the co-digestion of food waste and maize husk

Bioresource Technology, 2015

h i g h l i g h t s Many existing biogas kinetic models are complex and substrate specific. BIK a... more h i g h l i g h t s Many existing biogas kinetic models are complex and substrate specific. BIK and MBPPSA models were hence developed in this study. BIK model was used for estimation of first order reaction rate constant (k). MBPPSA model was used for prediction of maximum biogas production potential (A) and digesters' stability. Developed MBPPSA and BIK models would be useful for feasibility studies and plant design.

Research paper thumbnail of Flood Monitoring and Flood Risk Assessment in Agenebode, Edo State, Nigeria

Flooding is a serious natural disaster that has become a recurrent event in many parts of the wor... more Flooding is a serious natural disaster that has become a recurrent event in many parts of the world causing huge loss of lives and properties. This study analyses flood risk potential in Agenebode, Edo state, Nigeria. Flood frequency analysis was carried out on discharge data from the River Niger at Onitsha from 1960-2006 as the discharge from this river is the primary cause of flooding of the study area. Log-Normal, Log-Pearson Type III and Gumbel probability distribution models were used to test for the most appropriate projection for discharge for different return periods.From the analysis, Log-normal distribution was selected as the most appropriate probability distribution for the series in order to determine projected flows for the river for different return periods. The rainfall pattern for the study area was analysed using gauge values for the period 1983-2010. Flood hazard assessment was carried out with the aid of ArcMap using the topographical feature data of the area, Di...