Toochukwu Chibueze Ogwueleka

• PhD
• University of Abuja

Water pollution has become a growing threat to human society and natural ecosystems in recent decades. It increases the need to understand surface water quality assessment better using chemometric tools within aquatic systems. This study sampled the water quality of 21 parameters at multiple sampling points in Jabi Lake during wet and dry seasons (...

Background: Effective management of medical waste is a prerequisite for efficient delivery of healthcare services, human health and environmental protection; and the availability of adequate data with regard to medical waste generation and composition is generally considered to be fundamental in the development of efficient medical waste management...

Attaining optimal operational conditions in a wastewater treatment plant (WWTP) is pivotal to long-term water resource management and could be accomplished using models to predict plant performance based on historical data of key plant parameters. The multilayer perceptron artificial neural network (MLP–ANN) is used in this study to forecast the pe...

Purpose: The study is on the influencing factors of domestic solid waste management in Abuja targeted at investigating and studying the factors influencing domestic solid waste management in Abuja, Historically, the amount of wastes generated by human population was insignificant mainly due to the low population densities, coupled with the fact tha...

This research was conducted to study the application of bio-drying technique for effective disposal of sewage sludge from wastewater treatment plant. Sewage sludge and bio–dried products were randomly collected from the Wupa wastewater/sludge treatment plant at the Idu Industrial area Abuja, Federal Capital Territory, Nigeria. The bio–dried product...

This study examines the activities of the informal recycling sector in Abuja, Nigeria. This is no formal recycling programme in Abuja. Scavengers carry out waste segregation and identification for recyclable materials. The questionnaires were administered to one thousand, five hundred (1500) scavengers and scrap dealers (stakeholders) to obtain soc...

Efficient wastewater treatment is critical to the sustainability of the environment and protection of public health, and wastewater treatment plants. This study thus, investigates the coliforms removal efficiency of Wupa wastewater treatment plant, Abuja, Nigeria over a period of five consecutive years (2013-2017). The study was conducted using sec...

The aim of this study is to determine the bacterial compositions during the bio-drying process of sewage sludge. Bio-dried products and sewage sludge were randomly collected from the Wupa wastewater/sludge treatment plant in Idu Industrial area Abuja, Federal Capital Territory, Nigeria. A mixture of sewage sludge and sawdust that were bio–dried and...

Surface water contagion resulting from anthropogenic deeds and bad effluent management due to swift urbanization has cause a dramatic deterioration in river water quality and has threatened the aquatic ecosystem health of Nigeria. Thus, treated and untreated river water usage for domestic purposes is uncertain and, accordingly, requires scientific...

This study evaluated the efficiency of microalgae activated sludge (MAAS) for wastewater treatment by investigating the influence of hydraulic retention time (HRT) on MAAS using batch regime pilot scale photobioreactors at Wupa Wastewater Treatment Plant. The outcome of the study showed that MAAS has a comparably high wastewater treatment performan...

Multivariate statistical techniques, such as cluster analysis (CA) and principal component analysis/factor analysis (PCA/FA), were used to investigate the temporal and spatial variations and to interpret large and complex water quality data sets collected from the Kaduna River. Kaduna River is the main tributary of Niger River in Nigeria and repres...

Road traffic accidents (RTA) are one of the major root causes of the unnatural loses of human beings all over the world. Although the rates of RTAs are decreasing in most developed countries, this is not the case in developing countries. The increase in the number of vehicles and inefficient drivers on the road, as well as to the poor conditions...

Exploratory data analysis such as hierarchical cluster analysis and principal component analysis were applied to water quality dataset of the Kaduna River, obtained during 3 years (2008–2010), monthly monitoring of eight key different sampling sites for 19 parameters to extract correlations and similarities between variables and to classify river s...

This study examines the application of a cost-optimizing mode for effective solid waste management in Minna, Niger State, in view of the limited funds at the disposal of the State Environmental Protection Agency charged with solid waste management in the state. For this purpose, the town was divided into six zones and waste collection within the zo...

Inadequate management of household solid waste is a serious problem in many developing cities. The study aimed to evaluate the quantities and composition of household solid waste generation in Abuja within different socioeconomic groups. The wastes from 74 households across different socioeconomic levels in Abuja were collected, weighted and classi...

The application of artificial neural network on energy modeling needs to be researched more extensively in order to appreciate and fulfill the potential of this modeling approach. The estimation of lower heating value is required to know the actual available energy to be converted to heat or electricity. In this study, a feed forward artificial neu...

Data mining is a set of computer-assisted techniques designed to automatically mine large volumes of integrated data for new, hidden or unexpected information, or patterns. Two artificial neural networks (ANN) models were developed for prediction of Cryptosporidium oocysts and Giardia cysts respectively using multiple water quality parameters as in...

Routing of solid waste collection vehicles in developing countries poses a challenging task. New decision procedure for solid waste collection problem was introduced in this study. The problem objective was to minimize the overall cost, which was essentially based on the distance travelled by vehicle. The study proposed heuristic method to generate...

Accurate waste generation prediction, necessary for relative waste forecasting is a difficult task due to the complexity and inherent nonlinearity of waste data. Self- Organizing Map (SOM) was used to cluster the communes into three clusters of low, medium and high groups. The six selected variables were population, dwelling, geographic, economic,...

The method currently used by the Federal Capital Development Authority Sewerage Treatment Plant, Wupa, Abuja, to estimate wastewater flow does not represent the conditions but often serves as a design guideline. To overcome this difficulty posed by the use of conventional mathematical models, the present study proposes an Artificial Neural Network...

Municipal solid waste management has emerged as one of the greatest challenges facing environmental protection agencies in developing countries. This study presents the current solid waste management practices and problems in Nigeria. Solid waste management is characterized by inefficient collection methods, insufficient coverage of the collection...

Solid waste management in Nsukka is evaluated. Nsukka was divided into four sanitation zones based on the population density for sampling. Plastic bags were distributed to shops, hostels, market and 20 households in each zone for collection of waste on daily basis. The survey lasted for 40 days. The wastes were weighted and sorted into components o...

Most developing countries have to grapple with the problem of efficient solid waste management in the face of increasing waste generation rate, high collection cost and dwindling financial resources. In some cities wastes are dumped indiscriminately and littered on the streets. This is the case with Onitsha, a heavy commercial city in Eastern Niger...

Drinking water treatment is the process of removing microorganisms and solid from water through different methods such as coagulation and filtration. Artificial neural network (ANN) was developed for process and cost optimization of drinking water treatment processes. Results obtained from ANN model showed that ANN is a suitable tool for the improv...

Routing of solid waste collection vehicles in Nigeria poses a challenging task because of attitudinal and haphazard infrastructure problems to contend with. The objective is to minimize the overall cost, which was essentially based on the distance travelled by collection vehicles. The study proposes heuristic methods to generate feasible solution t...

Many rural communities in Nigeria depend upon rainwater runoffs collected in underground storage tanks locally known as ‘umi’ to serve all their daily demands. By all health standards the water collected is unsafe for human consumption. The only form of treatment for the runoffs before use is the sedimentation under the prolonged storage. A major o...