An Essential Plant-Based Noise Absorption Measurement Concept For Machine Learning Data Pre-Processing In Environmental Studies

Abstract

The noise level in Peninsular Malaysia has constantly remained within the range of 70 dBA to 71 dBA which is above the recommended range by WHO (50dBA - 55dBA). To control the noise intensity level, planting trees has been seen as the most sustainable method to implement. However, the absorption properties of the trees to absorb noise are different from one another. Three measurement methods of determining absorption coefficient such as Adrienne method, impedance tube and reverberation chamberarediscussed and highlighted in this paper with associated analysis. The analysis such as common elements approach and complexity analysis are adopted and modified. The objectives of thesestudyare todesign and develop a measurement concept which can form basic guidance for researchers, communities, town developers as well as landscapers. The proposed concept is based on system organization theory which is modified to suit the aim of the studies. The concept foundation lays important component structures which are further evaluated by adding more elements in parallel to the advancement of information technology.