Investigation of Noise Pollution of Nanded City, Maharashtra Case Study using GIS and Data Mining Technique

Abstract

In this study we examine the level of noise present in Nanded city of Maharashtra with the help of Geographical information system and Data mining technique. The noise data is collected during the month of March and April 2017. The spatial data mining algorithm natural neighbor was applied to generate the surface model. Unsupervised data mining techniques i.e. Shapiro-Wilk normality test and supervised data mining technique Wilcoxon rank sum test were applied to identify the significant difference in day and night time noise pollution. In this study we followed the CPCB 2000 guideline. Data was collected from Residential and commercial area. The investigation results reveals residential as well as commercial areas pollution noise level is beyond the permissible limit in evening session. Furthermore, there is need of action to control the Noise level in Nanded city.