Assessment of noise-levels of generator-sets in seven cities of South-Southern Nigeria

Ibhadode, Osagie; Tenebe, I.T.; Emenike, PraiseGod C; Adesina, Olanrewaju Seun; Okougha, A. F.; Aitanke, F. O.

doi:10.1080/20421338.2017.1400711

Cited by 20 publications

(11 citation statements)

References 14 publications

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“…The noise descriptors here studied show that the users are exposed to excessive noise levels along the routes, as shown in the Figure 11, always achieving limits ranges above 60 dB. These results confirm the noise threat on human health already detected for many other cities of the world (IBHADODE et al, 2018). The Lnp registered at the routes studied are comparable to the ranges found in Barcelona (LAGONIGRO; MARTORI; APPARICIO, 2018), vulnerable population groups.…”

Section: Discussion: Noise Prediction In Urban Environmentssupporting

confidence: 81%

Comparison of mathematical methods and measurements of traffic noise indices in pedestrian routes

Lopez

Souza

2020

Ambient. constr.

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In this study, we propose an analysis of the vehicular traffic noise indices and comparison between field measurements and prediction data obtained from mathematical models. The study area consists of two pedestrians routes of a medium-sized South American city. University students use these routes in displacements between their universities and residences. We monitored twenty-eight points along the two routes, performing three daytime measurements for each point. The calculated values were obtained from two mathematical predicted models: the English model CRTN (Calculation of Road Traffic Noise) and the French model NMPB-Routes (Nouvelle Methode de Prevision de Bruit). The measurements considered two noise descriptors: the A-weighted equivalent sound level (LAeq) and the noise pollution index (Lnp). The results show that the pedestrians are exposed to excessive levels of vehicle traffic noise along these routes. However, the analysis showed that the two mathematical models achieved good similarity and high performance in the prediction potential. The CRTN model has a better performance than NMPB, proving to be useful as an auxiliary tool in the monitoring of vehicle traffic noise. Finally, we used the CRTN (LAeq) predictions to generate the map of noise pollution indices.

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Section: Discussion: Noise Prediction In Urban Environmentssupporting

confidence: 81%

Comparison of mathematical methods and measurements of traffic noise indices in pedestrian routes

Lopez

Souza

2020

Ambient. constr.

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“…Noise is audible unwanted sound that poses threat to a person's health and well-being and usually described in terms of loudness (intensity) and pitch (frequency) and comprises of basically single or mixture of sound waves of different sound levels that are produced by a variety of sources such as industrial and commercial activities, including operations of factories and workshops, transport activities, constructions activities and social activities in urban settlements, including market places, sports events and entertainments [64]. The sources of noise in many cities are usually described to be generated from different sources and some of the prominent sources of noise pollution already documented are loud music from concerts, religious buildings like churches and mosques, the ones from generators, political rallies, road advertisement, and traffic and air transportation sporting events, construction and industrial activities and also residential places near to major roads [29,52,5]. However, many of the more significant and preventable sources arise from traffic and industry while motor vehicle traffic stand as the single greatest contributor of noise in most cities.…”

Section: Sources Of Noise Pollution In Urban Centresmentioning

confidence: 99%

Monitoring noise level in cities: A step towards urban environmental quality management in Nigeria

Kpang¹,

Dollah²

2021

World J. Adv. Res. Rev.

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Noise as an undesirable sound within non-occupational settings is one of the several identified environmental problems across the world. It is an increasing common feature of urban areas attributable to road, rail, and air traffic sources as well as construction and industrial activities, commercial enterprise, and such familiar domestic sources as pets and radios/stereos from residential neighborhood. Noise is a major pollution which constitutes nuisances and health related consequences of significant negative impacts on the physical, social, physiological and psychological wellbeing of man or animals. It is notably evident that increased activities from industrialization and technological transfers/drifts are the bedrock of urban noise in majority of our rapid growing cities at present. At the instance of sufficient evidence that noise aggravates chronic illnesses like hypertension and other cardiopulmonary diseases, the World Health Organization (WHO) and the Federal Environment Protection Agency (FEPA) (Nigeria) has strategically set standards and limits of allowable noise levels which unfortunately is not implemented and enforced in most cities, thereby leading to urban quality deterioration. Noise pollution occurs when it is observed that standards are exceeded, therefore concerted efforts in monitoring and regulating our environmental noise is recommended to avert the scourge of further debasement of environmental quality in our cities.

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“…Notwithstanding, noise pollution remains a serious health concern in the study area (Ota, Nigeria) in particular and the entire planet [7], [8]. Some of the identified sources of noise pollution are loud music from concerts, religious buildings like churches and mosques, noise emitting generators [9], political rallies, road advertisement, traffic [10] and air transportation [11], sporting events, construction and industrial activities. In all the mentioned sources, areas that have high risk of noise pollution are residential places near to major roads [12] and airports and manufacturing industries [13]; for example, small scale industries [14], [15], steel rolling industries [16], oil and gas industry [17], [18] and so on.…”

Section: Introductionmentioning

confidence: 99%

A Study of Noise Pollution Measurements and Possible Effects on Public Health in Ota Metropolis, Nigeria

Oguntunde¹,

Okagbue²,

Oguntunde³

et al. 2019

Open Access Maced J Med Sci

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BACKGROUND: Noise pollution has become a major environmental problem leading to nuisances and health issues. AIM: This paper aims to study and analyse the noise pollution levels in major areas in Ota metropolis. A probability model which is capable of predicting the noise pollution level is also determined. METHODS: Datasets on the noise pollution level in 41 locations across Ota metropolis were used in this research. The datasets were collected thrice per day; morning, afternoon and evening. Descriptive statistics were performed, and analysis of variance was also conducted using Minitab version 17.0 software. Easy fit software was however used to select the appropriate probability model that would best describe the dataset. RESULTS: The noise levels are way far from the WHO recommendations. Also, there is no significant difference in the effects of the noise pollution level for all the times of the day considered. The log-logistic distribution provides the best fit to the dataset based on the Kolmogorov Smirnov goodness of fit test. CONCLUSION: The fitted probability model can help in the prediction of noise pollution and act as a yardstick in the reduction of noise pollution, thereby improving the public health of the populace.

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Assessment of noise-levels of generator-sets in seven cities of South-Southern Nigeria

Cited by 20 publications

References 14 publications

Comparison of mathematical methods and measurements of traffic noise indices in pedestrian routes

Comparison of mathematical methods and measurements of traffic noise indices in pedestrian routes

Monitoring noise level in cities: A step towards urban environmental quality management in Nigeria

A Study of Noise Pollution Measurements and Possible Effects on Public Health in Ota Metropolis, Nigeria

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