Road traffic noise mapping in Guangzhou using GIS and GPS

Cai, Ming; Jingfang, Zou; Xie, Jiemin; Ma, Xiaoliang

doi:10.1016/j.apacoust.2014.06.005

Cited by 101 publications

(57 citation statements)

References 7 publications

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“…Noise mapping has been shown to be an efficient way of assessing environment noise [34]. Noise perception assessment is traditionally based on subjective noise annoyance.…”

Section: Discussionmentioning

confidence: 99%

A virtual perception method for urban noise: The calculation of noise annoyance threshold and facial emotion expression in the virtual noise scene

2015

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“…Noise mapping has been shown to be an efficient way of assessing environment noise [34]. Noise perception assessment is traditionally based on subjective noise annoyance.…”

Section: Discussionmentioning

confidence: 99%

A virtual perception method for urban noise: The calculation of noise annoyance threshold and facial emotion expression in the virtual noise scene

2015

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“…The sound pressure level from traffic can be predicted from the traffic flow rate, the speed of the vehicles, the proportion of heavy vehicles, and the nature of the road surface. Speed-density relation also used to estimate the traffic volume from GPS data collected from floating cars [4]. Road traffic is one of the major sources of noise pollution in urban areas.…”

Section: Introductionmentioning

confidence: 99%

Noise Monitoring and Mapping for Some Pre-selected Locations of New Delhi, India

2016

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Road traffic is one of the major sources of noise pollution in urban areas. Noise measurements and sound observation surveys, alone or in relationship, can be helpful in understanding the complex problem of noise pollution in urban areas. The main aim of this paper is monitoring and mapping for some pre-selected locations of New Delhi, India. The [Formula: see text], noise climate, and noise pollution levels were calculated, this was further represented in the form of cartographic maps for easy understanding. Result of noise monitoring shows that the values of [Formula: see text] at Ashram ranges from 67.4 dB (A) to 82.3 dB (A) which is maximum of all pre-selected locations. It was found that the noise levels at all pre-selected location has been very high and above the permissible limits. Noise map shows that Ashram is the most affected area, most of the pre-selected locations are severally affected and the areas are in constant exposure of noise up to 80 dB vertically as well as horizontally.

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“…Cai et al . [6] developed traffic noise map during day and night using Geographic Information System (GIS) and Global Positioning System (GPS). Noise map of Ilorin Metropolis was developed by Oyedepo[7] based on various noise descriptors.…”

Section: Introductionmentioning

confidence: 99%

Environmental propagation of noise in mines and nearby villages: A study through noise mapping

2016

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Background:Noise mapping being an established practice in Europe is hardly practiced for noise management in India although it is mandatory in Indian mines as per guidelines of the Directorate General of Mines Safety (DGMS). As a pilot study, noise mapping was conducted in an opencast mine with three different models; one based on the baseline operating conditions in two shifts (Situation A), and two other virtual situations where either production targets were enhanced by extending working hours to three shifts (Situation B) or only by increased mechanization and not changing the duration of work (Situation C).Methods:Noise sources were categorized as point, line, area, and moving sources. Considering measured power of the sources, specific meteorological and geographical parameters, noise maps were generated using Predictor LimA software.Results:In all three situations, Lden values were 95 dB(A) and 70–80 dB(A) near drill machine and haul roads, respectively. Noise contours were wider in Situation C due to increase in frequency of dumpers. Lden values near Shovel 1 and Shovel 2 under Situation B increased by 5 dB and 3 dB, respectively due to expansion of working hours. In Situation C, noise levels were >82 dB(A) around shovels. Noise levels on both sides of conveyor belts were in the range of 80–85 dB(A) in Situations A and C whereas it was 85–90 dB(A) in Situation B. Near crusher plants, it ranged from 80 to 90 dB(A) in Situations A and C and between 85 and 95 dB(A) in Situation B. In all situations, noise levels near residential areas exceeded the Central Pollution Control Board (CPCB) limits, i.e., 55 dB(A).Conclusions:For all situations, predicted noise levels exceeded CPCB limits within the mine and nearby residential area. Residential areas near the crusher plants are vulnerable to increased noise propagation. It is recommended to put an acoustic barrier near the crusher plant to attenuate the noise propagation.

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Road traffic noise mapping in Guangzhou using GIS and GPS

Cited by 101 publications

References 7 publications

A virtual perception method for urban noise: The calculation of noise annoyance threshold and facial emotion expression in the virtual noise scene

A virtual perception method for urban noise: The calculation of noise annoyance threshold and facial emotion expression in the virtual noise scene

Noise Monitoring and Mapping for Some Pre-selected Locations of New Delhi, India

Environmental propagation of noise in mines and nearby villages: A study through noise mapping

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