Crude Oil Remediation using Matlab Integrated Agricultural Best Management Practice to Improved Soil Nutrients

Authors: Ukpaka CP* and Nkakini SO

DOI: 10.23880/ppej-16000101

Volume 1, Issue 1

Abstract

Mathematical model of least square method was applied in the monitoring, predicting and simulation of the crude oil remediation using matlab integrated agricultural best management practice to improved soil nutrients. The matlab computer program language was considered in the mapping system layout of Cell B1: Crude oil polluted soil + Dried poultry manure, Cell B2: Crude oil polluted soil + Dried goat dung and Cell B3: Crude oil polluted soil + Fine saw dust. The equation of the function determine from the model simulation yield the following mathematical expression after the determination of the function coefficients of a, b and c as well as the results obtained are presented as 0.015 1.11 8.9 2 1 y   x  x  B , 1.12 3.9 0.02 2 2 y   x  x  B and 0.02 1.77 6.25 2 3 y   x  x  B . The problem was resolved using matrix of 3x3 method and results obtained revealed the significant of the techniques in monitoring, predicting and simulating the improved soil concentration through the mechanism of matlab integrated agricultural best management practice.

Keywords: Crude oil; Remediation; Matlab; Integrated; Agricultural; Management; Improved soil nutrients

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