A comparative study of noise pollution levels in some selected areas in Ilorin Metropolis, Nigeria

Oyedepo, Olayinka S.; Saadu, Abdullahi A.

doi:10.1007/s10661-008-0570-5

Cited by 38 publications

(23 citation statements)

References 7 publications

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“…Singh and Jain (1995) reported that the measurements of noise levels in residential, industrial and commercial areas in the capital city of India, Delhi commercial areas have the highest noise levels followed by industrial and residential areas. This is contrary to the finding of Oyedepo and Saadu (2009) who carried out measurement of noise levels in busy road junctions, residential, industrial, commercial and passenger loading parks areas in Ilorin city, Nigeria. The result shows that industrial areas have the highest noise levels followed by busy roads and junctions, passengers loading parks and commercial areas.…”

Section: Introductioncontrasting

confidence: 96%

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Assessment of Ambient Day Indoor and Outdoor Noise Levels in University of Science and Technology Port Harcourt

Ideriah¹

2015

IJSTS

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Indoors and outdoors ambient noise levels were measured within the RSUST to determine the levels and sources of noise pollution within the university campus in order to ascertain if the noise level has exceeded acceptable limit to affect the air quality of the environment and also access the impact of various activities in the university with regard to noise pollution. Noise levels were measured with a digital sound level meter model 407730 manufactured by EXTECH instruments with "A" weighting scale. The measured noise levels ranged between 47.8 dB (A) and 103.2 dB (A). The mean noise levels recorded around the 2000 KVA and 1275 KVA generators exceeded the permissible noise levels guideline of 90dB (A) recommended by Occupational Safety Health Agency and Federal Ministry of Environment while all the mean noise levels measured within the university exceeded the guideline values of 35-55 dB (A) set by World Health Organization. High positive correlation coefficients between indoor and outdoor were recorded. Analysis of variance on noise levels between hostels, road junctions, gates and Departments showed significant difference (P <0.05). Noise levels at outdoors were generally higher than indoors. t-test on the mean noise levels between indoor and outdoor were not significant (P > 0.05) but t-test between maximum and minimum noise levels and between the Departments were significant (P < 0.05). The measured noise levels were typical of urban communities in developing countries. In addition to steady electricity supply from National grid, solar plant or sound proof generators were recommended.

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Section: Introductioncontrasting

confidence: 96%

“…The need for studies regarding urban noise pollution and its consequences on the environment has motivated various researchers in several countries (Ugwunyi et al, 2005;Oyedepo and Saadu, 2009). Many researchers have reported that road traffic is the predominant noise source in urban areas (Bisio, 1996;Nelson, 1998).…”

Section: Introductionmentioning

confidence: 99%

Assessment of Ambient Day Indoor and Outdoor Noise Levels in University of Science and Technology Port Harcourt

Ideriah¹

2015

IJSTS

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“…In developed countries, several noise pollution guidelines have been developed. In sub-Saharan Africa, although, where noise legislations exist, they are often poorly enforced and implemented (Sonibare et al 2004; Chung et al 2005; Oyedepo and Saadu 2009; Sørensen et al 2011; Oyedepo 2012). However, interest may be attributed to the current development of guidelines and standards for environmental pollution by the Federal Environmental Protection Agency (FEPA 1991).…”

Section: Introductionmentioning

confidence: 99%

Influences of wind speed and direction on atmospheric particle concentrations and industrially induced noise

Ayanlade

Oyegbade

2016

SpringerPlus

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PurposeIn this study, the spatial and temporal relationship of wind speed, atmospheric particles concentration, and the industrial-induced noise levels during different times of the day were examined, using sawmill industrial location around Ile-Ife in Osun of Nigeria as a case study.MethodsMobile devices were used to measure noise level and basic meteorological parameters were examined and their influences on the noise levels distribution were assessed. The maximum and minimum sound levels; Lmax and Lmin, the PM10 and PM1 particle concentrations, wind speeds and directions were measured in the morning (7–9 a.m.), afternoon (12–2) and evening (4–6 p.m.) over 14 consecutive days.ResultsThe results revealed that the noise level varies spatiotemporally, much more consistent spatial distribution along the vicinity of sawmill industries. A higher level of noise occurred during the weekday (WD), Leq > 70 dB(A), compared to weekends (WE). Extreme average noise levels are associated with the immediate neighbourhood of sawmill industrial areas during WD compared to streets and road annexes of the study area. The results also show a very weak relationship between noise and PM10 and PMcoarse for both WD and WE with r < 0.35 for PM1 and r < 0.20 for PMcoarse. There appears to be a moderate significant correlation between noise level and PM1 during some meteorological conditions with r > 0.51.ConclusionThe slight relationship between noise and PM1 is perhaps a result of wind movement that carries particles from the source region since booth noise and particles mostly originate from the sawmill. The study concludes that wind speeds and directions have a significant influence on both noise level and particle concentration within the study sites.

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“…Noise pollution is not only the growing problem of developing countries but also of the developed countries. According to researchers, over 130 million people in Europe suffer from exposure to noise levels above 65 dB(A) [2].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Road Traffic Noise Pollution in Quetta (Pakistan)

khan¹

2014

AJMP

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Pakistan, like other developing countries, is facing the growing problem of traffic noise pollution of the modern world. It is a notable problem of urban areas of the country including Quetta city. The basic cause of this problem is the tremendous increase in traffic volume and lack of proper town planning. This study is the first proper attempt to evaluate the traffic noise level in Quetta city. To estimate the level of road traffic noise, the technique employed is a "regular grid over a map" . This technique generated 60 observation locations across the city covering almost the whole city. The different zones are classified on the standards of US Department of Housing and Urban Development. The measuring points generated so have been divided into four categories depending upon the activities carried out in that region. It is observed that mixed area i.e. "commercial and residential" are at high risk, where the L max is 93.1 dB and the statistical analysis reveals the fact that the 77.1 % of the locations in residential areas are higher than the standards set by the local authority. Noise map is also designed for future use and the better understanding of the traffic noise in Quetta city. It is observed that most of the population of the city is significantly exposed to the high noise level due to the unmitigated traffic noise.

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A comparative study of noise pollution levels in some selected areas in Ilorin Metropolis, Nigeria

Cited by 38 publications

References 7 publications

Assessment of Ambient Day Indoor and Outdoor Noise Levels in University of Science and Technology Port Harcourt

Assessment of Ambient Day Indoor and Outdoor Noise Levels in University of Science and Technology Port Harcourt

Influences of wind speed and direction on atmospheric particle concentrations and industrially induced noise

Evaluation of Road Traffic Noise Pollution in Quetta (Pakistan)

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