Development of air polluter model for the carbon Monoxide (CO) element based on Mixed Geographically temporal weighted regression (MGTWR) Kriging

Motor vehicle exhaust is the main source of Carbon Monoxide (CO). In urban areas, where motor vehicles are easily found, CO is commonly identified as one of the air polluter sources. CO is hazardous, and human being will suffer from serious health problems if they are exposed to this polluting agent in a prolonged period. This study aims to develop a model that will aid the effort to minimize the negative effects of CO. The model is built in which it will be able to show the cause-factors and the preventing-factors of CO generation. The Mixed Geographically Temporal Weighted Regression (MGTWR) approach is used as the basis of the model. MTGWR is a spatial-temporal regression model, which takes into account the geographical and temporal aspects of the pollution. However, the MGTWR model cannot be used to predict the effect if it is used outside the sample location of the research, unless we predict the associated regression coefficients in the respected area beforehand. In this case, we use the estimated predictor parameter based on the Kriging method to predict the regression parameters outside the research location. As the result, the Kriging Predictor-based MTGWR model can be used to estimate the pollution level caused by CO outside the sample location of the research.