scholarly journals Neighbourhood Spatial Pattern and Noise Disturbance in Benin City, Nigeria

Author(s):  
Akugbe Collins Oviasogie

Noise has an environmental challenge is increasing due to urbanization, industrialization and modernization. While residential noise pollution could have adverse effect on health and social wellbeing, little attention has been directed towards investigating the implications of spatial pattern of neighbourhood facilities on noise pollution in Nigeria. This study assessed how noise disturbance is related to spatial pattern within two neighbourhoods in Benin City, Nigeria. Structured questionnaires were used to elicit information from residents on demographics and neighbourhood characteristics while residential land-mix was observed through street mapping. Sixty-six participants were randomly selected from Government Reserved Area (GRA) and Ogbe quarters of Benin City. Result showed that the neighbourhood facilities which host commercial, transportation and industrial activities were the closest to the dwelling units while natural vegetation was the farthest. Also there was spatial variation in distribution of neighbourhood features especially the commercial and recreational areas which affects the noise exposure level. The study concludes that it is necessary to mitigate noise within residential neighbourhoods through proper land use and zoning strategies.

2018 ◽  
Vol 7 (2) ◽  
pp. 122-130
Author(s):  
Ado Umar Farouq ◽  
Peter I Ahonsi

This research work titled “Evaluation of Noise Exposure Level in Delta Mall and Robinson Plaza” was aimed at the determination of the noise exposure level and it’s implication to the health of workers/individuals in Delta Mall and Robinson Plaza. A sound level meter (SLM) of model 407736 was used to measure the noise level in Delta Mall and Robinson Plaza. At Robinson plaza, the noise was measured in 13 different locations and they are numbered Block A – N with an exception of Block I. The procedure was carried out in the morning (9:00am – 9:30am), afternoon (1:00pm – 1:30pm), and evening (6:00pm – 6:30pm) measurements for a period of 30 days. The noise exposure level of the entire study area for Robinson Plaza, revealed an average dose of 177.2% and equivalent TWA of 94.1 dBA for 12 hours duration per day and when compared with OSHA standard, it exceeded the exposure action value in the OSHA noise exposure limits (90 dBA for 8 hours duration per day), hence, a detailed risk assessment must be completed for the entire Robinson Plaza. While the noise exposure level of the entire study area for Delta Mall, revealed an average dose of 115.5% and equivalent TWA of 91.0 dBA for 12 hours duration per day and when compared with OSHA standard, it exceeded the exposure action value in the OSHA noise exposure limits (90 dBA for 8 hours duration per day), hence, a detailed risk assessment must be completed for the entire Delta Mall. It’s therefore concluded that the noise generated from both Delta Mall and Robinson Plaza can be harmful to the health of workers. It was recommended that due to these possible effects of noise pollution on the populace, the following action should be carried out: Isolate noise at source, Using protection equipment, Urgent need for legislation to control noise pollution, and Public awakening and education.


2018 ◽  
Vol 24 (6) ◽  
pp. 437-443 ◽  
Author(s):  
Marek Jabłoński ◽  
Iwona Szer ◽  
Jacek Szer

The paper presents the results of measurements for one hundred and ten scaffolds located in five cities in different parts of Poland. Measurements were made between April of 2016 and October of 2017. The environmental tests performed on scaffoldings were focused mainly on the sound level. The parameters on which we base our analysis are the value of C-weighted peak sound levels and daily noise exposure level. The noise that affects construction workers on scaffolding may influence the behaviour of workers and increase the risk of accidents. And at the same time, noise exposure laws facilitate identification of high noise-emitting activities and provide effective preventive measures that reduce noise pollution and improve work environments. The analyses carried out confirmed the qualitatively expected dependencies, and allowed us to quantify the impact of noise to which scaffolding workers are exposed. In summary, noise measurements on scaffoldings can be a valuable aid in improving working conditions. The analysis of research results allows understanding hazards related to noise in an accessible way. They provide the opportunity to modify the professional environment so that it is more employee-friendly and does not expose them to problems occurring in a noisy work environment.


2013 ◽  
Vol 25 (4) ◽  
pp. 387-394
Author(s):  
Aleksandar Nikolic ◽  
Emilija Nikolic

Environmental and occupational noise is common nuisance that affects the health of employees. Performed health checks of employees engaged by Company “Pomorski Saobraćaj” showed that 5% of examined sailors had hearing loss. The results were a trigger for starting experiment on noise risk assessment with objective to discover possibilities of noise pollution presence, precise significant noise sources and describe solutions for eliminating negative effects. Several measurements on five positions were performed on ferry boat “KAMENARI”, according to EC Physical Agents Directive and Merchant Shipping and Fishing Vessels Regulations 2007. Noise on selected positions exceeded the limit for about 1-5dB. Noise exposure level was 84.5dB. Diesel engine, exhaust system and structural noise were main sources of excessive noise. Experiment shows noise presence as nuisance that affects sailors. Noise presents a serious threat for sailor’s health. It interferes with crew communication and jeopardizes navigation safety. Technical measures, crew health checks and noise monitoring could prevent all negative effects.


2013 ◽  
Vol 40 (2) ◽  
Author(s):  
Ni Ketut Susilawati ◽  
Wayan Sudana ◽  
Eka Putra Setiawan

Background: Noise pollution or noise is an unwanted sound which is disturbing to human beings.However small or soft the sound, if it is undesirable it is considered as noise. Noise induced hearingloss is a sensorineural hearing loss that is commonly encountered second to presbycusis. Purpose: Toknow the effect of traffic noise exposure on hearing impairment to the employees of the Parking DistrictCompany of the Denpasar city and to improve diagnostic detection on hearing impairment caused bynoise. Method: A cross sectional study was conducted at the Parking District Company office. Thepopulations of this study were the employees of the Parking District Company. Samples of this study were the employees who were exposed to traffic noise and control samples were an employee who was unexposed. Samples were selected by simple random sampling. Results: From 40 parking attendants,27 persons (67.5%) aged above 35 years old. The parking attendants who had been working for ten to fifteen years were 36 persons (90%) and no history using ear protection when working. Seven persons(17.5%) had referred DPOAE upon examination with increase hearing threshold on audiogram result.In this study the parking attendants who had hearing deficit induced by noise were 7 persons (17.5%)and only one person (2.5%) in control group. There was a statistically significant effect of traffic noiseto hearing function deficit (p<0.05). Conclusion: Traffic noise has effect in hearing function deficit onthe parking attendants.ORLI Vol. 40 No. 2 Tahun 2010Key words: NIHL, parking attendant, audiometry, DPOAE.


Author(s):  
Feifan Chen ◽  
Zuwei Cao ◽  
Emad M. Grais ◽  
Fei Zhao

Abstract Purpose Noise-induced hearing loss (NIHL) is a global issue that impacts people’s life and health. The current review aims to clarify the contributions and limitations of applying machine learning (ML) to predict NIHL by analyzing the performance of different ML techniques and the procedure of model construction. Methods The authors searched PubMed, EMBASE and Scopus on November 26, 2020. Results Eight studies were recruited in the current review following defined inclusion and exclusion criteria. Sample size in the selected studies ranged between 150 and 10,567. The most popular models were artificial neural networks (n = 4), random forests (n = 3) and support vector machines (n = 3). Features mostly correlated with NIHL and used in the models were: age (n = 6), duration of noise exposure (n = 5) and noise exposure level (n = 4). Five included studies used either split-sample validation (n = 3) or ten-fold cross-validation (n = 2). Assessment of accuracy ranged in value from 75.3% to 99% with a low prediction error/root-mean-square error in 3 studies. Only 2 studies measured discrimination risk using the receiver operating characteristic (ROC) curve and/or the area under ROC curve. Conclusion In spite of high accuracy and low prediction error of machine learning models, some improvement can be expected from larger sample sizes, multiple algorithm use, completed reports of model construction and the sufficient evaluation of calibration and discrimination risk.


2021 ◽  
Vol 7 (20) ◽  
pp. eabe2405
Author(s):  
Henrik Brumm ◽  
Wolfgang Goymann ◽  
Sébastien Derégnaucourt ◽  
Nicole Geberzahn ◽  
Sue Anne Zollinger

Noise pollution has been linked to learning and language deficits in children, but the causal mechanisms connecting noise to cognitive deficiencies remain unclear because experimental models are lacking. Here, we investigated the effects of noise on birdsong learning, the primary animal model for vocal learning and speech development in humans. We found that traffic noise exposure retarded vocal development and led to learning inaccuracies. In addition, noise suppressed immune function during the sensitive learning period, indicating that it is a potent stressor for birds, which is likely to compromise their cognitive functions. Our results provide important insights into the consequences of noise pollution and pave the way for future studies using birdsong as an experimental model for the investigation of noise-induced learning impairments.


1992 ◽  
Vol 30 (2) ◽  
pp. 65-76 ◽  
Author(s):  
Seyed Mohammad MIRBOD ◽  
Ryoichi INABA ◽  
Hideyo YOSHIDA ◽  
Chisato NAGATA ◽  
Yoko KOMURA ◽  
...  

2020 ◽  
Vol 185 (9-10) ◽  
pp. e1551-e1555
Author(s):  
Sean E Slaven ◽  
Benjamin M Wheatley ◽  
Daniel L Christensen ◽  
Sameer K Saxena ◽  
Robert J McGill

Abstract Introduction Noise exposure is an occupational health concern for certain professions, especially military servicemembers and those using power tools on a regular basis. The purpose of this study was to quantify noise exposure during total hip arthroplasty (THA) and total knee arthroplasty (TKA) cases compared to the recommended standard for occupational noise exposure. Materials and Methods A sound level meter was used to record cumulative and peak noise exposure levels in 10 primary THA and 10 primary TKA surgeries, as well as 10 arthroscopy cases as controls. Measurements at the distance of the surgeon were taken in all cases. In TKA cases, measurements were taken at 3 feet and 8 feet from the surgeon, to simulate the position of the anesthetist and circulating nurse, respectively. Results Time-weighted average was significantly higher in THA (64.7 ± 5.2 dB) and TKA (64.5 ± 6.8 dB) as compared to arthroscopic cases (51.1 ± 7.5 dB, P &lt; 0.001) and higher at the distance of the surgeon (64.5 ± 6.8 dB) compared to the anesthetist (52.9 ± 3.8 dB) and the circulating nurse (54.8 ± 11.2 dB, P = 0.006). However, time-weighted average was below the recommended exposure level of 85 dB for all arthroplasty cases. Peak levels did not differ significantly between surgery type or staff role, and no values above the ceiling limit of 140 dB were recorded. Surgeon’s daily noise dose percentage per case was 1.78% for THA and 2.04% for TKA. Conclusion Noise exposure in THA and TKA was higher than arthroscopic cases but did not exceed occupational standards. A daily dose percentage of approximately 2% per case indicates that repeated noise exposure likely does not reach hazardous levels in modern arthroplasty practice.


2020 ◽  
Author(s):  
Nkiru Onyinyechukwu ◽  
Igudia Enoma Omorogieva ◽  
J.O. OKAFOR

Noise pollution or noise disturbance is the disturbing or excessive noise that may harm the activity or balance of Human or animal . The fact is that we can't see , taste or smell it may help explain why it has not received as much attention as other type of pollution. Some causes of Noise pollution include industrization, poor urban planning, social events ,transportation, construction activities and household choirs . The health effects of Noise pollution includes anxiety and stress reactions also fright, headache, irritability and nervousness. Noise pollution can be prevented .


2022 ◽  
Vol 30 (1) ◽  
pp. 725-745
Author(s):  
Akmal Haziq Mohd Yunos ◽  
Nor Azali Azmir

Noise measurement is essential for industrial usage. However, further attention to preventing noise pollution is needed, especially when working with equipment generating a high noise level, such as gas turbines. This study aims to determine the best way to perform noise measurement and analyze the octave band frequency generated by noise pollution caused by gas turbine equipment. Data from site measurements show that the gas turbines produce more than 85 dB of noise with a Z-weighted measurement. A noise measuring investigation was conducted to obtain the data for the 1/3 octave band. A frequency-domain was used to comprehend the properties of the noise measurement frequency band. The frequency band was classified into three different zones called low, medium, and high frequency, which is useful in noise measurement analysis to identify a viable solution to reduce the noise. On-site sampling was performed at the source, path, and receiver of three separate gas turbine locations within oil and gas operations. The 1/3 octave band data collection results at the sound source, path, and receiver demonstrate the noise level distribution at the perimeter of gas turbine installations in the low and medium frequency ranges. Most of the high noise frequency range is between 250 Hz and 2 kHz for source, path, and receiver. All acquired values are compared to the Department of Safety and Health (Occupational Safety and Health (Noise Exposure) Regulations 2019 in Malaysia. As a result, oil and gas service operators can monitor and take countermeasures to limit noise exposure at oil and gas facilities.


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