Empirical Modelling of Dissolved Oxygen against Pollution Parameters in Coastal Water in Different Seasons

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Agunbiade, F.O.
Olu-owolabi, B.I.
Adebowale, K.O.
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Global Science Books
An empirical modelling study of dissolved oxygen (DO) against six pollution parameters: biochemical oxygen demand (BOD), chemical oxygen demand (COD), nitrate, total phosphate, total solids and temperature, analysed from field samples was carried out for wet and dry seasons of April 2006 – January 2007. Modelled equations were developed from each parameter using regression analysis to predict DO within the two seasons; the best fitted equation was reported in each case with their corresponding R2 values and the validity ranges evaluated for model calibration. The resulting DO values predicted from the modelled equations were validated by comparison with field data and found to correlate better in the dry season for data obtained based on BOD, COD, nitrate and phosphate. Also, the validity ranges of the models developed from these anthropogenic pollution parameters were wider during the dry season. However, total solids (TS) and temperature used to measure contributions from physical and natural conditions to DO modelling depicts a better simulation during the wet season for the TS prediction due to an increase in natural effects witnessed in the wet season than the dry one. Temperature had the lowest R2 values due to reduced natural temperature variations in the tropical region. Thus, the predictions of DO based on anthropogenic, abstracting pollution parameters are better done in the dry season.Keywords: anthropogenic activities, regression analysis, simulation, wet and dry seasons
Staff Publications
anthropogenic activities , regression analysis , simulation , wet and dry seasons , Research Subject Categories::NATURAL SCIENCES::Chemistry
Agunbiade, F. O., Olu-Owolabi, B. I., & Adebowale, K. O. (2008). Empirical modelling of dissolved oxygen against pollution parameters in coastal water in different seasons. Terrestrial and Aquatic Environmental Toxicology, 2(1), 5-13.