Evaluation and analysis of the environmental noise of Messina, Italy

Piccolo, Antonio; Plutino, D.; Cannistraro, G.

doi:10.1016/j.apacoust.2004.07.005

Cited by 92 publications

(68 citation statements)

References 11 publications

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“…The consistency of noise values among day, evening, and night-time periods in urban environments has also been found in other studies. 20,25 Although noise values in both study areas did not vary significantly over time, there was relatively good correspondence in the intensity of average adjusted values between areas for the time periods selected. For example, noise levels increased incrementally from the afternoon, through the evening, and peaked in the overnight hours for both study areas, even though there was an overall difference in absolute noise levels.…”

Section: Discussionmentioning

confidence: 87%

“…L Aeq values were compared with environmental noise exposure limits as dictated by Italian legislation (see Piccolo et al 2005 for the exposure limits). In order to accomplish this, the study data were recalculated to correspond with the standardized time periods adopted by Italian legislation.…”

Section: Discussionmentioning

confidence: 99%

“…For example, studies have used a sampling frequency of 15-min measurements every 2 h, 20 while others have employed continuous assessments. 21 Studies have measured noise levels during the day and at night, 22 while others have only considered measurements during the day.…”

Section: Sampling Strategymentioning

confidence: 99%

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Noise Levels Associated with Urban Land Use

et al. 2012

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Recent trends towards the intensification of urban development to increase urban densities and avoid sprawl should be accompanied by research into the potential for related health impacts from environmental exposure. The objective of the current study was to examine the effect of the built environment and land use on levels of environmental noise. Two different study areas were selected using a combination of small area census geography, land use information, air photography, and groundtruthing. The first study area represented residential land use and consisted of two-to three-story single-family homes. The second study area was characteristic of mixed-use urban planning with apartment buildings as well as commercial and institutional development. Study areas were subdivided into six grids, and a location was randomly selected within each grid for noise monitoring. Each location was sampled four times over a 24-h day, resulting in a total of 24 samples for each of the two areas. Results showed significant variability in noise within study areas and significantly higher levels of environmental noise in the mixed-use area. Both study areas exceeded recommended noise limits when evaluated against World Health Organization guidelines and yielded average noise events values in the moderate to serious annoyance range with the potential to obscure normal conversation and cause sleep disturbance.

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Section: Discussionmentioning

confidence: 87%

Section: Discussionmentioning

confidence: 99%

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Noise Levels Associated with Urban Land Use

et al. 2012

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“…In Nigeria, [1] examined elements for environmental noise pollution models and concluded that traffic noise constitutes the largest proportion of urban pollution in urban areas. In the same assertion, [21] and [22] stated that heavy trucks are the major source of urban noise pollution. A study by [1] also examined road traffic noise pollution and its impacts on residents of Ikeja local government area of Lagos state.…”

Section: Introductionmentioning

confidence: 85%

Modelling traffic noise level on roadside traders at Wurukum market area in Makurdi town, Benue state – Nigeria

Adeke¹,

Atoo²,

Zava³

2018

Nig. J. Tech.

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Noise level prediction model was built for road side traders at an open market area of Wurukum market in Makurdi town. One week survey was carried out to measure noise level, traffic volume, vehicles speeds and distances from the edge of road shoulder. The study revealed that roadside traders expose themselves to average noise levels of 82.33dB (A), 77.48dB (A) and 74.38dB (A) at distances of 0m, 5m and 10m respectively from the edge of roadway. At 0m, the noise level was slightly below World Health Organization (WHO) specification of 85dB (A), beyond which noise pollution is hazardous. At 10m, the noise level was above minimum safe level of 55dB (A). The model indicates high level of ambient noise which was attributed to intensive market activities from the background. The model was checked using Chi square test at 5% level of significance and coefficient of determination (R 2 =0.7216) which gave satisfactory results. A strategy of relocation and splitting the market was proposed for local government council's consideration.

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“…The progress of transport systems has shaped the socio-economic benefits to the human society, but at the same time, it has also polluted the environment. Road transportation is next only to industrial activity in causing irreversible damage to the environment (Ali, 2004;Chakraborty and Banerjee, 2007;Piccolo et al, 2005;Singal, 2005), the degree of which has attained global proportions (Brown and Lam, 1987;Kumar and Jain, 1994;Nirjar et al, 2003;Rao and Rao, 1991). Consequently, the quality of life of those exposed to the benefits of transportation may be worsened rather than improved.…”

Section: Introductionmentioning

confidence: 99%

Appraisal and mapping the spatial-temporal distribution of urban road traffic noise

Banerjee¹,

Chakraborty²,

Bhattacharyya

et al. 2009

Int. J. Environ. Sci. Technol.

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ABSTRACT:The present study aims to compute the temporal and spatial distribution of road traffic induced noise pollution in an urban environment by monitoring and mapping. The study area was the entire Asansol city of West Bengal, India. A total of 35 locations were selected for collection of data, classified as industrial, commercial, residential, sensitive and mixed areas according to the national regulatory standards. Noise recordings were conducted during morning and night hours. Day time L eq level ranged between 51.2 and 89.0 dB(A), whereas it ranged between 43.5 and 81.9 dB(A) during night. The average L dn value was 73.28 ± 8.51 dB(A) (Range: 55.1-87.3); The traffic noise index was 80.62 ± 15.88 dB(A) (Range: 49.4-115.8). The computed data were mapped by utilization of Geographic information system methodology that allowed the visualization and identification of the extent and distribution of sound pollution across the study area. This proves to be an ideal tool for carrying out noise impact assessments in urban settings. The study reveals that present noise level in all the locations exceeds the prescribed limit. Based on the finding, it can be mentioned that the population in this industrial town are exposed to significantly high noise level, which is caused mostly due to road traffic. The study reveals that vulnerable establishments like schools and hospitals are subjected to significantly high noise level throughout the day and immediate mitigatory measures are required to alleviate the problem.

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Evaluation and analysis of the environmental noise of Messina, Italy

Cited by 92 publications

References 11 publications

Noise Levels Associated with Urban Land Use

Noise Levels Associated with Urban Land Use

Modelling traffic noise level on roadside traders at Wurukum market area in Makurdi town, Benue state – Nigeria

Appraisal and mapping the spatial-temporal distribution of urban road traffic noise

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