ABSTRACT
This study was carried out on River Atuwara in Ota, Ogun State, Nigeria with the aim of developing a coefficient of re-aeration model applicable to River Atuwara and other rivers in the Nigerian environment. This was achieved by sourcing for data once every month from 22 sampling locations of interest within a pre-selected segment of the river over a period covering the dry and wet seasons. The data collected include hydraulic data (depth, width, velocity and time of travel) and water quality data such as Dissolved Oxygen (DO) and Biochemical Oxygen Demand (BOD). Excel Spreadsheet and MATLAB were used for data processing. Regression analysis was carried out where stream velocity and depth were the regressors and the re-aeration constant k2 (as a function of BOD, DO and Temperature) was the dependent variable. A coefficient of re-aeration, k2, (Atuwara re-aeration model) was developed and validated statistically. Its performance was also verified by comparing the model with 10 other internationally recognized models. It was found that even though Atuwara model performed better than Agunwamba model and most of the other well cited models, both Atuwara model and Agunwamba model could be safely adopted for future water quality modelling researches in the Nigerian environment. Results of detailed water analysis of samples from River Atuwara shows high level of pollution hence it is unfit for human consumption without adequate treatment. It is recommended that River Atuwara and similar rivers in the country should be regularly monitored for quality control.
OMOLE, D (2021). Evaluation Of Water Quality Modelling Parameters: Towards The Evolvement Of Re-Aeration Coefficient For Rivers In The Nigerian Environment. Afribary. Retrieved from https://tracking.afribary.com/works/evaluation-of-water-quality-modelling-parameters-towards-the-evolvement-of-re-aeration-coefficient-for-rivers-in-the-nigerian-environment
OMOLE, DAVID "Evaluation Of Water Quality Modelling Parameters: Towards The Evolvement Of Re-Aeration Coefficient For Rivers In The Nigerian Environment" Afribary. Afribary, 20 May. 2021, https://tracking.afribary.com/works/evaluation-of-water-quality-modelling-parameters-towards-the-evolvement-of-re-aeration-coefficient-for-rivers-in-the-nigerian-environment. Accessed 30 Nov. 2024.
OMOLE, DAVID . "Evaluation Of Water Quality Modelling Parameters: Towards The Evolvement Of Re-Aeration Coefficient For Rivers In The Nigerian Environment". Afribary, Afribary, 20 May. 2021. Web. 30 Nov. 2024. < https://tracking.afribary.com/works/evaluation-of-water-quality-modelling-parameters-towards-the-evolvement-of-re-aeration-coefficient-for-rivers-in-the-nigerian-environment >.
OMOLE, DAVID . "Evaluation Of Water Quality Modelling Parameters: Towards The Evolvement Of Re-Aeration Coefficient For Rivers In The Nigerian Environment" Afribary (2021). Accessed November 30, 2024. https://tracking.afribary.com/works/evaluation-of-water-quality-modelling-parameters-towards-the-evolvement-of-re-aeration-coefficient-for-rivers-in-the-nigerian-environment