Critical assessment of day time traffic noise level at curbside open-air microenvironment of Kolkata City, India

Chowdhury, Anirban; Debsarkar, Anupam; Chakrabarty, Shibnath

doi:10.1186/s40201-015-0219-6

Cited by 14 publications

(3 citation statements)

References 18 publications

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“…For achieving this, highest and lowest minute noise in 15 minutes was further analysed with the vehicle volume from videography for each second, to identify the vehicle class and honking effect on LAeq (dB). This was done by noise tools software which can draw the data to the level of one tenth of the second where any sudden peak in noise can be clearly observed, which can be attributed to honks [33], [34]. However, the peak observed in the graph need not be due to honk every time, which is a hurdle for identifying the honks in total noise.…”

Section: Methodsmentioning

confidence: 99%

Influence of Honking on the Road Traffic Noise Generated at Urban Rotaries for Heterogeneous Traffic

Aditya

Chowdary

2020

Environmental and Climate Technologies

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AbstractThis paper presents a study conducted at major rotaries for quantifying the traffic noise levels by considering the vehicle volume and their respective honking as governing parameters for heterogeneous traffic. Traffic volume and traffic noise data was collected using a digital video camera and a class 1 sound level meter, respectively. The traffic noise data was analysed using noise tools for identifying the noise level variation. The data collected was subjected to statistical analysis for light, medium and heavy vehicles, and their contribution towards noise levels is proven to be effective with the forthright fact that, heavy vehicles and their corresponding honking were majorly affecting the equivalent noise level compared to other vehicular proportion. An equivalent noise level [LAeq (dB)] rise of 2 to 6 dB (A) is solely caused by heavy vehicles, which is an important observation to be considered for traffic noise analysis at the rotaries. Based on the obtained results from one of the rotaries, noise prediction model is developed for estimating the LAeq (dB), which is able to predict the noise levels with good precision when validated with the data collected at second rotary intersection for different vehicle volumes.

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Section: Methodsmentioning

confidence: 99%

Influence of Honking on the Road Traffic Noise Generated at Urban Rotaries for Heterogeneous Traffic

Aditya

Chowdary

2020

Environmental and Climate Technologies

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“…The comparison of ambient noise levels observed in 2015 with those observed in 2011 for the 35 stations revealed that, for some sites like Indira Nagar, PGI Hospital of Lucknow city; Kasba Gole park, Patauli and New Market site of Kolkata city; ASHP and MPCB headquarters of Mumbai city; Abids and Jeedimetla site of Hyderabad city; Eye hospital, Perambur, T. Nagar and Triplicane sites in Chennai city registered a higher increment (5 dB(A)) in ambient noise levels. This may be primarily due to the substantial growth of new vehicles, low turnover of old vehicles, inadequate road network and urbanization [19][20][21][22][23][24] . Table 5 shows the frequency distribution of L day and L night ; L dn and L Aeq,24 h in dB(A) for seven major cities (70 sites) in 2015.…”

Section: Overall Noise Scenariomentioning

confidence: 99%

Study on the Establishment of a Diversified National Ambient Noise Monitoring Network in Seven Major Cities of India

et al. 2017

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We describe the diversified National Ambient Noise Monitoring Network (NANMN) set up across 7 major cities of India and covering 70 stations for continuous noise monitoring throughout the year. The annual average L day (06-22 h) and L night (22-06 h) values observed in 2015 for these 70 locations are described. Of these, 25 locations are in commercial zones, 12 in industrial, 16 in residential and 17 in silence zones. Each city has 10 noise monitoring stations installed for analysing environmental noise pollution levels round the clock (24  365 h). The long-term noise monitoring shows that ambient noise levels are very high compared to the recommended standards for some sites and thus noise abatement measures are essentially required for controlling these levels. The present study is focused on evaluation, analysis and reporting of environmental noise pollution in seven major cities of India and is instrumental in planning for the noise abatement measures for controlling noise pollution in these cities. Such a noise monitoring network established in India is unique and one of the largest noise monitoring networks of its kind across the globe. Keywords: Day equivalent level, day-night average sound level, National Ambient Noise Monitoring Network, night equivalent level.NOISE pollution has become a serious concern over the past several years in India. With growing vehicular population and urbanization, it is imperative to monitor the ambient noise levels and devise suitable measures for control to avoid health hazards and annoyance faced by the community. The evidence for effects of environmental noise on health is strongest for annoyance, sleep and cognitive performance in adults and children. The occupational noise exposure also shows some association with high blood pressure 1 . There have been many such studies conducted so far on the noise exposure and correlation with human blood pressure 2-5 . Meta-analyses have been carried out to derive the exposure-response relationships that can be used for quantitative health impact assessments 6 . The meta analysis of 24 cross-sectional studies on the relationship between road traffic noise and prevalence of hypertension reported an odds ratio (OR) of 1.07 (95% confidence interval (CI) = 1.02-1.12, P < 0.05) per 10 dB increase of 16 h day-time average road traffic noise level (L Aeq,16 h ) in the range of <50 to >75 dB (refs 7, 8). In India, there have been limited studies carried out on correlating the effect of noise on human health. A recent study provides evidence that road traffic noise is a serious cause of concern 9 . The study infers that association between transportation noise exposure and cardiovascular disease is evident, but not at significant level. A similar study suggests epidemiological evidence that exposure to road traffic noise of

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“…This has resulted in traffic congestion. Noise due to traffic is associated with adverse effects on health [1]. Traffic congestion gives rise to many problems, including noise pollution.…”

Section: Introductionmentioning

confidence: 99%

Urban road traffic noise on human exposure assessment using geospatial technology

Partheeban¹,

Karthik²,

Elamparithi

et al. 2021

Environmental Engineering Research

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The sounds produced by humans, industries, transport and animals in the atmosphere that pose a threat to the health of humans or animals can be characterized as noise pollution. Adverse effects due to noise exposure can involve speech communication interference and declining learning skills of children. Highway traffic noise contributes to 80% of all noise. It has grown to a massive scale because of growth in population along the roads leading to a rapid change in land use and has evolved into a common reality in various Indian cities. The main objective of this work is to develop a road traffic noise prediction model using ArcGIS 10.3 for the busy corridors of Chennai. The collected data includes traffic volume, speed, and noise level in lateral and vertical directions. Noise levels were measured in 9 locations using a noise level meter. It is observed that the noise levels vary from 50 dB to 96 dB. It is found that the noise problem is severe in 18% of the area, and 6.3% of people are exposed to the traffic noise problem. The results obtained in this study show that the city is affected by severe noise pollution due to road traffic.

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Critical assessment of day time traffic noise level at curbside open-air microenvironment of Kolkata City, India

Cited by 14 publications

References 18 publications

Influence of Honking on the Road Traffic Noise Generated at Urban Rotaries for Heterogeneous Traffic

Influence of Honking on the Road Traffic Noise Generated at Urban Rotaries for Heterogeneous Traffic

Study on the Establishment of a Diversified National Ambient Noise Monitoring Network in Seven Major Cities of India

Urban road traffic noise on human exposure assessment using geospatial technology

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