A Case Study And Analysis Of Noise Pollution For Chennai Using GIS

Abstract Noise pollution of urban areas is one of serious factors that the local agencies and state authorities have to consider in decision making processes. The spatial analysis and geostaticstical methods of GIS can play an important role to control noise pollution. GIS provide framework to integrate noise calculation models with spatial data that can be used for building noise maps. Noise maps can be used to assess and monitor the influence of noise effects. Noise maps within GIS have been developed in most of the European Countries. European Commission has approved the Directive called ‘Environmental Noise Directive 2002/49/EC’ for noise mapping. Most of the noise maps that are available today and also that suggested by EU are in two dimensional (2D) in which noise effect is presented in x,y plane. 2D noise maps are built with the noise levels of one particular height. In the reality, noise travels in all direction. Residents living in high rise buildings are also severely affected by traffic noise. It is therefore important to develop 3D noise maps that can show influence of noise in all direction. This research work developed a methodology to build 3D noise models to analyze the three dimensional effect of noise pollution within a GIS. A case study was illustrated using a 3D city model for Chennai city. This involved building simple 3D city model, generation of 3D observation points (that represent the virtual microphones) and noise calculation using standard noise calculation models. The noise has calculated from 6 to 11 am in city limits of locations as Parry’scorner, mathuravolyal etc. Fictitious data was used to calculate the noise levels of study area. Appropriate Spatial interpolation methods were used to develop noise surface. The results showed that the quality and accuracy of noise models can be improved with high density of observation points. The observation points selected in straight line with evenly spacing showed good visualization of acoustic situation. All the data’s has implemented with gis and concluded.