Modelling Reaeration Coefficient of Stream using Regression Analytical Method - A case of Mmubete Stream, Rivers State Nigeria

Surface water pollution is a major problem/ occurrence in the Niger Delta region of Nigeria. Mmubete stream never an exception. significant to people Rivers State owing its usefulness terms fishing activities and domestic usage. The modelling using regression analytical method with emphasis on incorporating mixing properties reaeration prediction was carried out. Water samples were collected analysed for dissolved oxygen (DO) temperature. hydrodynamic data (depth, velocity, surface area, kinematic viscosity dispersion) measured while re-aeration coefficient empirical models developed approach determined. results revealed that field ranges from 2.4432d-1 3.7568d-1 wet season 0.96d-1 2.712d-1 dry season. 1.983d-1 3.088d-1 model 1 prediction, 3.5065d-1 2 3.0221d-1 d-1 4.1817 3. R2 are 0.934, 0.934 0.998 1, 3 respectively standard errors 0.11135, 0.549694 0.022008 1,2 respectively. reliable considering root mean square error values.