Case Study from West Bengal, India: Management of Noise Levels During Festival Time in Kolkata and Howrah Municipal Corporation Areas from 2002 to 2011

Mandal, Prasun K.; Bandyopadhyay, Amitava

doi:10.1002/tqem.21366

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…The noise grievances cell as a part of State Pollution Control Boards should be proactive in receiving, analysing and taking appropriate action on complaints. Such complaints are more particularly on festival days as reported by Mandal and Bandyopadhyay 55 . Establishment of these noise grievance cells in each district and helpline number for easy accessibility and freedom to file a complaint can be a proactive step in this regard.…”

Section: Noise From Domestic Appliancesmentioning

confidence: 96%

A Retrospective View of Noise Pollution Control Policy in India:Status, Proposed Revisions and Control Measures

Garg¹,

Maji²

2016

Current Science

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Section: Noise From Domestic Appliancesmentioning

confidence: 96%

A Retrospective View of Noise Pollution Control Policy in India:Status, Proposed Revisions and Control Measures

Garg¹,

Maji²

2016

Current Science

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“…They first performed a time analysis on noise data in different time periods at different crossroads, thus generating the noise map via GIS [4]. In another work, Mendal et al assessed and analyzed noise pollution in Kolkata, India at the time of a festival [5]. We need to build sustainably to: 1.…”

Section: Introductionmentioning

confidence: 99%

Modelling and analysis of an urban road traffic noise pollution: Case study of an interrupted flow traffic noise at a signalized intersection

Forouhid¹,

Zadeh²,

Mahmoudi³

2021

J Appl Eng Science

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This research aimed at modeling interrupted flow traffic noise at a signalized intersection. In this study, a new approach has been used with SPSS and Arc GIS with urban road traffic noise. The measured parameters of noise include noise equivalent level, volume of light vehicles, heavy vehicles and time mean speed. The results showed that the Spearman correlation coefficient between the interface and the level of the noise at morning, evening and total time were 0.241, 0.35 and 0.45. The spearman correlation coefficient between the interface of the buildings and the intersection of all types of vehicles passing through the morning, evening and total time equal to 0.534, 0.328 and 0.409. The results showed that noise level can be predicted through the speed variables of the vehicles, the volume of vehicles passing heavy and the use of land use of buildings. According to the results and the noise maps for the modeling noise of the estimated coefficients from the equation, it can be found that in building highway in urban, closer look on internationally acting Green Building Labels and noise protection is seen as an important part of the social sustainability aspects of a building.

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“…They first performed a time analysis on sound data in different time periods at different crossroads, thus generating the noise map via GIS [6]. In another work, Mendal et al assessed and analyzed noise pollution in Kolkata, India at the time of a festival [7]. Abbaspour et al performed a hierarchical analysis of noise pollution in a region of Tehran [8].…”

Section: Introductionmentioning

confidence: 99%

A Mathematical Model of Noise Pollution in Streets of Tehran near IKIA Airport

Forouhid¹

2020

Environmental Impact of Aviation and Sustainable Solutions

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This chapter attempts to investigate noise pollution in the street of Tehran near IKIA airport considering the population growth and large contribution of ground vehicles to noise pollution. The operation of airports results in environmental impact associated with high levels of different sources of noise. If there is to be growth in aviation, the environmental impacts of aviation must be mitigated. In this chapter, a model for the noise pollution near IKIA airport in Tehran has been calibrated with the use of a noise forecasting software. The study areas consisted of high traffic areas of Tajrish Street near the airport. In a field study, the noise level was measured via sound meter and the noise map was generated based on geostatistical methods via GIS software. For this purpose, the factors influencing noise level (e.g. traffic, road width, slope, and residential or administrative-commercial land use) were surveyed and recorded for each point and their local and time dependencies were computed via SPSS. According to the results obtained from 324 survey points, the highest noise levels belonged to Tajrish area (69 dB). It is higher than standard noise level for residential and commercial and in conclusion, suggestions for reducing it are given.

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Case Study from West Bengal, India: Management of Noise Levels During Festival Time in Kolkata and Howrah Municipal Corporation Areas from 2002 to 2011

Abstract: Assessment of current practices and policieswith recommendationsfor future improvements

Cited by 4 publications

References 4 publications

A Retrospective View of Noise Pollution Control Policy in India:Status, Proposed Revisions and Control Measures

A Retrospective View of Noise Pollution Control Policy in India:Status, Proposed Revisions and Control Measures

Modelling and analysis of an urban road traffic noise pollution: Case study of an interrupted flow traffic noise at a signalized intersection

A Mathematical Model of Noise Pollution in Streets of Tehran near IKIA Airport

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