Using ambient noise measurements to model urban particle number size distributions at a traffic site

Löbig, Janko; Weber, Stephan

doi:10.1016/j.apr.2016.10.008

Cited by 5 publications

(2 citation statements)

References 40 publications

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“…Medium and heavier vehicles tend to emit noise emissions due to the acceleration values that evolve at higher speed than light vehicle under free traffic regime. Rolling noise and engine noise that due to air pumping noise emission in tyre grooves, friction and contact between the tyres and street may increases the emission of the noises during speeding of the vehicles [16]. Furthermore, at speeds higher than 30 km/hr for cars and 45 km/hr for heavy duty vehicles, rolling noise will prevail at this speed range.…”

Section: Fig 12 -Percentage and Pcu's Of Heavy Lorries During Night mentioning

confidence: 99%

“…Studies have found that the traffic noise exposure is associated with stroke, ischemic disease and hypertension on human being [8]. According to the Löbig and Weber [9], the environmental noise is the cause of sleep disturbance, triggering the release of stress hormone level, induced annoyance and developer of hearing impairment on human well-being. People that are living close to the roadway will notice frequently noise events occurring in the traffic streams and tend to get sleep disturbance [10].…”

Section: Introductionmentioning

confidence: 99%

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Road Traffic Noise Levels at Different Types of Residential Areas in Nibong Tebal, Penang

Halim¹,

Hamid²,

Yusob³

et al. 2019

IJIE

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Traffic vehicles on the road networks during their movement create noise that has greater impact on environment. The sources, the receivers and the place of transition, where the sound wave propagates, are the three vital parameters for the field of noise acoustics. For this research, the aim of this study is to assess traffic noise levels between different types of residential areas in Nibong Tebal, Penang. The study is carried out in order to achieve the following three main objectives, which are to assess the level of traffic noise at selected residential areas, to characterize the traffic flow composition nearby study areas, and to compare noise levels between low density and terraced house residential areas. The noise levels measurements were carried out periodically in the morning (from 0700 to 1100), evening (from 1600 to 1900), and at night (from 2200 to 2300) for 15 minutes using a sound level meter. The traffic characteristics were measured simultaneously during noise levels measurements. The highest equivalent continuous noise levels for the low density residential areas was at Kampung Batu 2 in the evening with 65.9 dB(A), while for the medium density residential areas, Taman Sri Acheh contributed 68.60 dB(A) during the morning. The lowest equivalent continuous noise levels were obtained at Kampung Simpang Tiga in the morning that contributed 54.9 dB(A) for low density residential areas. However, the minimum equivalent continuous noise levels obtained for the medium density residential areas was at Taman Ilmu Indah in the morning with 63.10 dB(A). The results obtained, clearly show that the equivalent continuous noise level for all study sites exceeded the maximum permissible sound level for medium density areas during daytime (from 7.00 am to 10.00 pm), which is 55 dB(A), while at night time (from 10.00 pm to 7.00 am) is 45 dB(A), and for low density residential areas during daytime (from 7.00 am to 10.00 pm) is 55 dB(A), while at night time (from 10.00 pm to 7.00 am) is 45 dB(A), respectively. These values are based on the guidelines for environmental noise limits and control by the Department of Environment, Malaysia.

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Section: Fig 12 -Percentage and Pcu's Of Heavy Lorries During Night mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Road Traffic Noise Levels at Different Types of Residential Areas in Nibong Tebal, Penang

Halim¹,

Hamid²,

Yusob³

et al. 2019

IJIE

View full text Add to dashboard Cite

show abstract

Statistical modelling of spatial and temporal variation in urban particle number size distribution at traffic and background sites

Gerling

Wiedensohler

Weber

2021

Atmospheric Environment

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An instantaneous spatiotemporal model for predicting traffic-related ultrafine particle concentration through mobile noise measurements

Guo

Chen

et al. 2018

Science of The Total Environment

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Using ambient noise measurements to model urban particle number size distributions at a traffic site

Cited by 5 publications

References 40 publications

Road Traffic Noise Levels at Different Types of Residential Areas in Nibong Tebal, Penang

Road Traffic Noise Levels at Different Types of Residential Areas in Nibong Tebal, Penang

Statistical modelling of spatial and temporal variation in urban particle number size distribution at traffic and background sites

An instantaneous spatiotemporal model for predicting traffic-related ultrafine particle concentration through mobile noise measurements

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