Development of Noise Map for Porur Junction using GIS
S. R. Masilamani1, Sudharsanamurthy .P2
1Dr. S. R. Masilamani, Department of Planning, Anna University, Chennai, India.
2Mr. Sudharsanamurthy.P , Department of Planning, Anna University, Chennai, India.
Manuscript received on July 05, 2017. | Revised Manuscript received on July 12, 2017. | Manuscript published on July 15, 2017. | PP: 1-5 | Volume-4, Issue-12, July 2017. | Retrieval Number: K10460641117/2017©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Noise pollution has become a major concern for communities living in the Chennai city. Noise pollution of urban areas is one of the serious factors that the local agencies and state authorities have to consider in decision making processes. In the reality, noise travels in all direction. Elevated noise levels due to vehicular traffic are cause of great concern in residential areas. Residents living in high rise buildings are also severely affected by traffic noise. It is therefore important to develop noise maps that can show influence of noise in all direction. The spatial analysis and geo statistical 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. A case study was illustrated using the developed noise maps. This involved building simple, generation of observation point and noise calculation using observed noise data. In this study an attempt is made to monitor the noise pollution due to vehicular traffic at one of the major intersection Porur using digital sound level meter. The variation in the noise levels and traffic volume data in the peak hours are studied and presented as noise map for the selected location and the vulnerable zones are also identified in this study. This study also includes the effects and remedies which can be provided for minimizing the noise pollution.
Keywords: Noise pollution, GIS, Traffic noise maps, Traffic noise prediction, Spatial data.