Investigation of Noise Pollution in Restaurants in Morogoro Municipality, Tanzania, East Africa

Samagwa, Dafrozah; Mkoma, Stelyus L.; Tungaraza, Clavery

doi:10.4314/jasem.v13i4.55395

Cited by 10 publications

(9 citation statements)

References 3 publications

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“…Samagwa et al [37] measured noise levels in restaurants in Morogoro, Tanzania. They reported that the measured noise levels ranged from 61 to 64 dBA.…”

Section: Restaurant Noise and Its Mathematical Modelmentioning

confidence: 99%

Noise in restaurants: Levels and mathematical model

Chung²

2014

Noise Health

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Noise affects the dining atmosphere and is an occupational hazard to restaurant service employees worldwide. This paper examines the levels of noise in dining areas during peak hours in different types of restaurants in Hong Kong SAR, China. A mathematical model that describes the noise level in a restaurant is presented. The 1-h equivalent continuous noise level (L(eq,1-h)) was measured using a Type-1 precision integral sound level meter while the occupancy density, the floor area of the dining area, and the ceiling height of each of the surveyed restaurants were recorded. It was found that the measured noise levels using Leq,1-h ranged from 67.6 to 79.3 dBA in Chinese restaurants, from 69.1 to 79.1 dBA in fast food restaurants, and from 66.7 to 82.6 dBA in Western restaurants. Results of the analysis of variance show that there were no significant differences between means of the measured noise levels among different types of restaurants. A stepwise multiple regression analysis was employed to determine the relationships between geometrical and operational parameters and the measured noise levels. Results of the regression analysis show that the measured noise levels depended on the levels of occupancy density only. By reconciling the measured noise levels and the mathematical model, it was found that people in restaurants increased their voice levels when the occupancy density increased. Nevertheless, the maximum measured hourly noise level indicated that the noise exposure experienced by restaurant service employees was below the regulated daily noise exposure value level of 85 dBA.

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“…Samagwa et al [37] measured noise levels in restaurants in Morogoro, Tanzania. They reported that the measured noise levels ranged from 61 to 64 dBA.…”

Section: Restaurant Noise and Its Mathematical Modelmentioning

confidence: 99%

Noise in restaurants: Levels and mathematical model

Chung²

2014

Noise Health

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“…Hannah [14] performed noise measurements in 5 restaurants located at the City District of Wellington and reported that the noise levels ranged from 67 to 81dBA. Samagwa et al [15] reported that the average noise levels in Morogoro restaurants ranged from 61 to 64 dBA in terms of L eq,30-min . Yu and Wong [16] conducted noise measurements in kitchens and service areas of Chinese restaurants in Hong Kong.…”

Section: Noise Levels In Restaurantsmentioning

confidence: 99%

Restaurant Noise: Levels and Temporal Characteristics

Chung²

2015

Noise & Vibration Worldwide

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Noise in restaurants affects diners and service employees. Normally, people will not eat alone. They would rather enjoy good food and drink with business partners, friends, and family in restaurants and unavoidably they talk happily and loudly. Speeches from other restaurant patrons, service employees, mingling with background music and noise from ventilation systems, will interfere with communication between a talker and listeners. This paper presents a territory-wide noise survey in Hong Kong restaurants and presents a mathematical model that describes the background noise level in restaurants. The measured noise levels show that restaurant noise ranged from 66.7 to 82.6 dBA with a mean value of 73.9 dBA (SD = 3.81 dBA) while the mathematical model illustrates that the background noise level in restaurants mainly depends on the occupancy density. The model was validated by another two sets of noise measurement data recorded in other restaurants. The time record of noise measurement shows that the variation of noise levels decreases when the occupancy density increases. People have to raise their voice effort to improve their speech intelligibility in a very noisy environment.

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“…In Uganda, has been noted as the main source of environmental pollution in the city of Kampala [13]. Additionally, in a study of noise pollution in restaurants of Morogoro town, Tanzania, [14] recorded between 61 and 64 dBA of noise, which is way above the legislated maximum permissible limit of 55 dBA and is associated with music in the restaurants, customer conversations as well as activity on adjacent streets. In sum, rapid urbanization, population growth, industrialization and associated socio-economic activities is fast escalating the level of noise pollution in most world cities and urban centers.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of the Extent and Potential Impacts of Noise Pollution inside Public Service Vehicles (PSVs) in Nairobi City, Kenya

Onyango¹

2015

AJEP

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Public service vehicles (PSVs) in Nairobi City, Kenya, have a tendency of playing loud music inside the vehicles resulting in disturbing noise. The objective of this study was to evaluate the extent of noise pollution inside PSVs in Nairobi City and predict possible impacts of the noise on PSV users. A sample of 60 randomly selected PSVs were analyzed. Posing as passengers inside the vehicles, noise measurements were taken using a digital integrating sound level meter (SVANTEK 971) inside these matatus. The measured noise levels were compared with corresponding legislated limits and the deviation thereof used to quantify the extent of pollution and probe the effectiveness of existing noise laws. Additionally, potential effects of the noise were predicted by comparing measured noise levels with respective guidelines recommended to protect public health and welfare from various adverse impacts of noise. The study results showed that PSV users in Nairobi are exposed to 86.3±9.6 dB A of noise inside PSVs and all the sampled vehicles did not comply with Kenyan noise regulations. PSVs plying northern Nairobi area were found to be the noisiest at 92.2±9.4 dBA, followed by Nairobi West PSVs at 88.7±9.6 dBA; Nairobi South PSVs at 83.1±6.3 dBA and Nairobi East PSVs at 81.2±7.7 dBA. The growing habit of PSVs playing extremely loud music/radio using sound amplifying equipment, was found to be a major contributor to noise pollution inside the vehicles, in addition to normal vehicular traffic sounds. The high noise levels put city dwellers at risk of such adverse effects of noise as noise-induced hearing loss (NIHL); physiological and psychological noise effects; speech interference, sleep disturbance; annoyance, social and behavioral effects. This calls not only for intensified noise law enforcement in the city, but also puts to question the effectiveness of existing noise laws to control noise in the city.

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Investigation of Noise Pollution in Restaurants in Morogoro Municipality, Tanzania, East Africa

Cited by 10 publications

References 3 publications

Noise in restaurants: Levels and mathematical model

Noise in restaurants: Levels and mathematical model

Restaurant Noise: Levels and Temporal Characteristics

Evaluation of the Extent and Potential Impacts of Noise Pollution inside Public Service Vehicles (PSVs) in Nairobi City, Kenya

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