Assessment of the interpolation techniques on traffic noise pollution mapping for the campus environment sustainability

Abstract

Mapping traffic noise pollution from an increasing number of vehicles facilitate better land use planning in order to measures the environment sustainability performances of institution in higher education. The aim of this research is to analyse the relationship on the increasing number of the motorized vehicles recorded as noise pollution data for further geostatistical analysis. Hence, by using the interpolation techniques, Kriging and IWD, the comparison performed to particularly create the noise pollution map for Universiti Teknologi Malaysia, UTM. With average noise of the collected sample, the performance of two methods; inverse distance weighting, IDW and Kriging evaluated based on the magnitude and distribution of errors where the cross-validation statistics with plots shows IDW better representation of reality for the means of Noise pollution levels measurement. then, other the noise map generated based on the maximum noise level recorded with the indicator Kriging Noise method. Further, these studies can be useful to conduct regular assessments to identify noise pollution level with multiple locations in the study area.