PREDICTIVE AIR POLLUTION ASSESSMENT USING MATRIX ALGEBRA AND GIS/GPS IN AGULERI ANAMBRA STATE

This study assessed the air pollution loads of sulphur dioxide (SO2), nitrogen dioxide (NO2) and particulate matter (PM10) from Aguleri in Anambra State of Nigeria using matrix algebra and the geographical information system (GIS)/global positioning system (GPS) attachment to MATLAB. The pollutant values of SO2 and NO2 were obtained using the Crowcon Gas Monitor Model CE 89/336/EEC, while the PM10 values were obtained with the Crowcon Particulate Monitor Model No.1000 with the serial number 298621. The pollution characteristics of the study area were simulated using the polynomial expression yi = k + k1x1 + k2x2 + k3x3 +… knxn.. The predictive parameter constants, k, were determined with the solution to the simultaneous equations arising from the polynomial expressions using matrix algebra. MATLAB 7.9 curve fitting software was used to produce associated model equations from the fitted curves for the variations of SO2, NO2 and PM10 as a function of locations in Aguleri for both rainy and dry seasons. The evaluation of pollution models used for the study showed that constants from the fitted curves do not closely match constants from ab initio calculations. The corresponding coordinates in both GIS/GPS contour and surface plots revealed a pollution distribution concentration of 50% in Aguleri. The results revealed that the stations in Aguleri had a satisfactory air pollution index rating. This study serves as an improvement to air quality studies and a veritable tool for air quality management and policymaking.