Assessment and mapping of noise pollution using Geographic information system in Tiruchirapalli city

Noise pollution is one of the most common environmental hazards encountered in everyday life. The goal of this study was to assess the quantity of noise in the Ponmalai region of Tiruchirappalli city in southern India and then to use geographic information systems (GIS) to develop a visualization based on the data. The areas were classified into three categories: silent, residential and commercial. The Lutron model number SL4010 was used to measure noise. The mapping was carried out using ArcGIS version 10.3 software (Krigging). To determine the significant differences in noise levels between morning, noon and evening, a one-way Anova was used, followed by Tukey's multiple comparisons test. At each location, the vehicle intensity was also assessed. The findings revealed that the observed sound levels were above the standard limits. Specifically, during peak hours (morning and evening), the noise level increased to an extreme. The study found that noise pollution in Ponmalai, India, is primarily due to increased vehicle movement, sound horns and public gatherings. In conclusion, recommendations include strict regulations, establishing buffer zones, creating no-honking boundaries, enforcing heavy vehicle speed restrictions, providing pro-elastic traffic roadways and implementing noise barriers in sensitive areas.

Authors

Publication Details

Journal
Disaster Advances
Published
2024-10-31
DOI
https://doi.org/10.25303/1712da023034
Primary Topic
Noise Effects and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment and mapping of noise pollution using Geographic information system in Tiruchirapalli city

J. Santhosh, D. Thayalnayaki, Vadivel Sobhika
Disaster Advances
Noise Effects and Management
article

Assessment and mapping of noise pollution using Geographic information system in Tiruchirapalli city

J. Santhosh, D. Thayalnayaki, Vadivel Sobhika
article en

Abstract

Noise pollution is one of the most common environmental hazards encountered in everyday life. The goal of this study was to assess the quantity of noise in the Ponmalai region of Tiruchirappalli city in southern India and then to use geographic information systems (GIS) to develop a visualization based on the data. The areas were classified into three categories: silent, residential and commercial. The Lutron model number SL4010 was used to measure noise. The mapping was carried out using ArcGIS version 10.3 software (Krigging). To determine the significant differences in noise levels between morning, noon and evening, a one-way Anova was used, followed by Tukey's multiple comparisons test. At each location, the vehicle intensity was also assessed. The findings revealed that the observed sound levels were above the standard limits. Specifically, during peak hours (morning and evening), the noise level increased to an extreme. The study found that noise pollution in Ponmalai, India, is primarily due to increased vehicle movement, sound horns and public gatherings. In conclusion, recommendations include strict regulations, establishing buffer zones, creating no-honking boundaries, enforcing heavy vehicle speed restrictions, providing pro-elastic traffic roadways and implementing noise barriers in sensitive areas.

Disaster AdvancesVol. 17(12)
Openalex Percentile: Top 65%
Noise Effects and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Assessment and mapping of noise pollution using Geographic information system in Tiruchirapalli city — J. Santhosh, D. Thayalnayaki, et al. · Disaster Advances (2024) | TGRS Research Map | TGRS