Predictive model to monitor the spread of crude oil in water surface environment

Predictive model to monitor the spreading rate of crude oil in surface water environment was developed in this paper, this model were generated through an experiment performed, The experiments were performed to examine the rate of crude oil spread in surface water, This experiment yield allots of results, some of the results were applied to examine the rate of spread through graphs that were plotted, The generated model equation from the graph were resolved, the resolved equation yielded theoretical values, this values were compared to other measured values from different locations, both parameters generated the following model equations y =1.909x+20.24 with R2 = 0.999,y =9.968x-1.951 R2= 0.995,y = -1.988x +13.55 R2 =0.998,y = 9,977x-4.528 R2=0.999,y = -1.777x + 9.166 R2 =0.991, and y =3.635x +1.257 R2 = 0.987. This model if applied will predict the rate of spread of crude oil in surface water environment. The rate of marine habitats degradation in most rivers and lake is of serious concern, especially in developing nations were the level of environmental pollution of oil spill is very high, this model will go a long way in predicting the rate of pollution, and reduce the threat of life in the study area.