scholarly journals Noise Pollution in Maize Milling Smes

2014 ◽  
Vol 35 (1) ◽  
pp. 35-45
Author(s):  
Erasto Elias ◽  
Bashira A. Majaja ◽  
Said Ibrahim ◽  
Emmanuel G.R. Kizima
Keyword(s):  
Adverse Effects ◽  
Noise Pollution ◽  
High Noise ◽  
Safe Level ◽  
System Use ◽  
Milling Machines ◽  
Working Shift ◽  
Noise Measurements ◽  
Machine Parts ◽  
Technical Solutions

Maize milling SMEs emit high levels of noise which can have adverse effects on humanbeings and therefore require controlling. This paper reports on a study that involvedassessment and measurement of noise level in maize milling SMEs in DSM and Morogorourban, gathering opinions of workers and the neighbouring population on noise problems,and suggesting solutions for noise control. Noise measurements in 41 SMEs were recordedfrom 89-103 dBA in DSM and 92-103 dBA in Morogoro near the milling machines. Thesevalues were higher than the safe level of 85 dBA for 8 hours working shift. Measurementalso indicated high noise in the immediate neighbourhood of the milling plants. Machineoperators and neighbours indicated health problems which could be a result of machinenoise. Causes of high noise were identified to include loose or untightened machine parts,improper installation of machine system, use of worn out machine bearings, and the use ofimproperly designed and unbalanced milling hammers. Possible administrative andtechnical solutions for these problems were suggested. It is concluded from this study thatmost of maize milling SMEs produce high noise which is indeed pollutant to workers andthe neighbouring population. Therefore, it is important to implement the suggestedadministrative and technical solutions to minimise this problem.

Adverse effects of noise pollution on foraging and drinking behaviour of insectivorous desert bats

2021 ◽  
Author(s):  
Adi Domer ◽  
Carmi Korine ◽  
Mallory Slack ◽  
Indira Rojas ◽  
Daniela Mathieu ◽  
...  
Keyword(s):  
Adverse Effects ◽  
Noise Pollution ◽  
Drinking Behaviour

114 Tackling Noise Pollution in Hospitals: A Pre-Feasibility Study

2021 ◽  
Vol 50 (Supplement_1) ◽  
pp. i12-i42
Author(s):  
N Paul ◽  
A Xyrichis
Keyword(s):  
Noise Pollution ◽  
Poor Sleep ◽  
Key Factors ◽  
Night Time ◽  
Patient Interviews ◽  
Feasibility Evaluation ◽  
Noise Measurements ◽  
The Mean ◽  
Sound Masking ◽  
Light Sleep

Abstract   This study aimed to better understand appropriate interventions aimed at reducing hospital ward noise and the subsequent impact this would have on inpatient experience. Service users consistently reported that noise pollution was the most detrimental factor in their recovery in hospital, principally due to its effects on sleep. Methods To aid usability and data collection the Richards- Campbell Sleep Questionnaire (RCSQ) was adapted into an electronic format with a sliding Likert scale using QuestionPro Software3. Qualitative patient interviews, the RCSQ and ward decibel measurements were recorded on Henry and Anne wards at St. Thomas’ Hospital, London. 20 patients were interviewed (12F, 8 M), with 3 being ultimately discounted due to severe cognitive impairment. Results were collated and will be presented as part of a pre-feasibility evaluation of the tools to measure patient sleep and experience of ward noise. Results: The mean of the responses from the 17 patients interviewed were calculated and graphically displayed. Of interest, 87.5% found the questionnaire straightforward to understand, but only 18.75% found it easy to complete (due to technological unfamiliarity). Conclusion and discussion Patients reported a consistently reported a less than optimal night’s sleep on the ward, with light sleep and increased time to fall asleep being key factors. Although visits were restricted to the “quietest” times on the ward, noise measurements consistently exceeded WHO recommendations of 40 dB. Subsequently excessive night-time noise created by other patients as well as staff was cited as the principal causes of poor sleep, with ward lighting being another cause. Results from this study have provided the justification for sound-masking technology to be trialled on inpatient wards, with the view of decreasing unpleasant ward noise and improving patient rest and recovery.

A REVIEW OF PRACTICAL METHODS FOR REDUCING UNDERWATER NOISE POLLUTION FROM LARGE COMMERCIAL VESSELS

2021 ◽  
Vol 154 (A2) ◽  
Author(s):  
R C Leaper ◽  
M R Renilson
Keyword(s):  
Noise Pollution ◽  
Operating Conditions ◽  
Wake Flow ◽  
Underwater Noise ◽  
Data Set ◽  
Marine Life ◽  
Propeller Design ◽  
Widespread Agreement ◽  
Noise Measurements ◽  
Considerable Concern

Underwater noise pollution from shipping is of considerable concern for marine life, particularly due to the potential for raised ambient noise levels in the 10-300Hz frequency range to mask biological sounds. There is widespread agreement that reducing shipping noise is both necessary and feasible, and the International Maritime Organization is actively working on the issue. The main source of noise is associated with propeller cavitation, and measures to improve propeller design and wake flow may also reduce noise. It is likely that the noisiest 10% of ships generate the majority of the noise impact, and it may be possible to quieten these vessels through measures that also improve efficiency. However, an extensive data set of full scale noise measurements of ships under operating conditions is required to fully understand how different factors relate to noise output and how noise reduction can be achieved alongside energy saving measures.

Noise Pollution in Onitsha Metropolis: Challenges and Solution

2021 ◽  
Vol 1 (2) ◽  
pp. 032-040
Author(s):  
Chris Onyeka Ekweozor ◽  
Johnbosco Emeka Umunnakwe ◽  
Leo O Osuji ◽  
Vincent C Weli
Keyword(s):  
State Government ◽  
Noise Level ◽  
Control Point ◽  
Noise Pollution ◽  
Health Impact ◽  
Dry Season ◽  
Noise Levels ◽  
Wet Season ◽  
High Noise ◽  
Anambra State

This study evaluated noise pollution in Onitsha metropolis, Anambra State, Nigeria in 2019. Noise levels were measured at forty sampling stations in the morning, afternoon and night within the study area for dry and wet seasons using modern noise level instruments. A control point was established at ldeani/Nnobi Junction with coordinates N 06o 05’.282’’ E 006o 55’.891’’ which was used as a reference point and for comparison with the sound levels recorded in designated locations. The results showed that the maximum noise level in the study area exceeded the Federal Ministry of Environment (FMEnv) limit by 7.8% in the dry season and by 13.11% in the wet season. Noise LAeq exceeded the NESREA LAeq limit by 29.89% in the dry season and by 33.44% in the wet season. The study indicated that the mean noise levels in the dry and wet seasons were within FMEnv limit of 90dB .It also showed that high noise levels were recorded around major junctions and market places within Onitsha, which are harmful to public health. The study further showed that transportation activities and trading activities at the market places are the main sources of high noise levels in the study area. Health impact assessment should be conducted in Onitsha metropolis for residents. State government should enforce compliance laws and regulate the activities of industries in the areas.

scholarly journals Octave Band Technique for Noise Measurement at the Source, Path, and Receiver of Gas Turbines in Oil and Gas Facilities

2022 ◽  
Vol 30 (1) ◽  
pp. 725-745
Author(s):  
Akmal Haziq Mohd Yunos ◽  
Nor Azali Azmir
Keyword(s):  
Gas Turbine ◽  
Noise Level ◽  
Gas Turbines ◽  
Noise Exposure ◽  
Oil And Gas ◽  
Noise Pollution ◽  
Noise Measurement ◽  
Octave Band ◽  
High Noise ◽  
Safety And Health

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.

scholarly journals Noise Descriptors For Kota Metropolis, Rajasthan (India)

2021 ◽  
Vol 16 (1) ◽  
pp. 176-189
Author(s):  
Kuldeep Kuldeep ◽  
Sohil Sisodiya ◽  
Dr. Anil K. Mathur
Keyword(s):  
Noise Level ◽  
Noise Exposure ◽  
Noise Pollution ◽  
Pollution Level ◽  
Exposure Index ◽  
Noise Levels ◽  
Rapid Urbanization ◽  
High Noise ◽  
Sampling Locations ◽  
The City

The most common environmental concern in metropolitan cities worldwide is noise pollution. Kota metropolis (India) is also suffering from the problem of the increased noise level in the urban environment. Kota metropolis has been selected for the assessment of noise pollution. The main reasons behind the increasing level of noise in the city are increased population, rapid urbanization and industrialization, increased transportation facilities, urban development, construction and demolition works etc. The noise levels were recorded for day-time (6 am to 10 pm) as per Indian standard time for 96 days. Sixteen sampling points are made within the city depending upon the category of area/zone such as industrial, residential, silence and commercial. Six days were prescribed for each sampling location for noise level measurement. Noise descriptors such as Lmax, Lmin, L10, L50, L90, NC (noise climate), Lnp (noise pollution level), Leq (equivalent noise level), and NEI (noise exposure index) were computed with the observed data. Noise descriptors are very useful to indicate the physiological and psychological effects of noise pollution associated with noise levels. It makes regulating agency to take necessary actions in high noise areas for noise vulnerable groups such as Childs, old persons etc. Noise levels were recorded with the digital sound level meter " HTC SL-1350". Obtained equivalent noise levels were in between 65 dB(A) to 85 dB(A). The results were then compared with the WHO standards of community noise levels, and Indian noise pollution standards. It is noticed that the noise levels in all monitoring stations were well above the limits of the standards prescribed by the WHO and CPCB. Small variations in noise levels were observed for all sampling locations i.e. noise levels were almost similar at sampling locations. Noise levels were distinct in magnitude for morning and evenings hours. Noise Exposure Index (NEI) was greater than 1 which shows significant high noise levels in all the sampling locations. Kota metropolis desperately needs new strategies to reduces the high noise level in the city. Regulating agencies should take necessary action before things get out of control. Some immediate actions are suggested in the study.

scholarly journals Optimized design research of fully enclosed noise barrier

2022 ◽  
Vol 355 ◽  
pp. 02061
Author(s):  
Jiang Li ◽  
YongBin Li ◽  
Jinhua Tan ◽  
Zhimin Yang
Keyword(s):  
Design Research ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Optimized Design ◽  
High Rise ◽  
Noise Barrier ◽  
The Cost ◽  
Technical Solutions ◽  
And Control ◽  
Control Traffic

Fully enclosed noise barrier has been used to prevent and control traffic noise pollution because of its effectiveness. It has become the best solution for controlling environmental noise of high-rise buildings from expressways, urban viaducts and railways that cross the crowded downtown area. However, its high cost has become an important retarding factor on its application and popularization, so reducing the cost become an urgent problem. The research theory, structure frame, sound absorbing and insulating materials are investigated for the fully enclosed noise barrier, so as to provide technical solutions for optimizing the design scheme and reducing the construction cost.

scholarly journals A study of Land Zoning in the base of Traffic Noise Pollution Levels using ArcGIS: Kirkuk City as a Case Study

2018 ◽  
Vol 13 (4) ◽  
pp. 137-151
Author(s):  
Shno Mustafa Ali ◽  
Ako Rashed Hama ◽  
Younis Mustafa Ali
Keyword(s):  
Traffic Noise ◽  
Satellite Image ◽  
Noise Pollution ◽  
Maximum Level ◽  
Pollution Levels ◽  
The Future ◽  
Air Pollutions ◽  
Noise Measurements ◽  
High Level ◽  
The City

This study is an approach to assign the land area of  Kirkuk city [ a city located in the northern of Iraq, 236 kilometers north of  Baghdad  and 83 kilometers  south of  Erbil [ Climatic atlas of  Iraq, 1941-1970  ]  into different  multi zones by using Satellite image and Arc Map10.3,  zones of different traffic noise pollutions. Land zonings process like what achieved in this paper will help and of it’s of a high interest point for the future of Kirkuk city especially urban planning and economic issues of the city. Also, it may be considered as a reference in solving the traffic jam problems in the city. Transportations and sounds of horn of vehicles are the major sources of traffic noise pollutions .Vehicular traffic noise problems are contributed by various types of vehicles such as heavy and medium trucks or buses or automobiles. During this study, six major regions within the city were selected (Governorate region, Baghdad road, Al Wasti, Al Askary, Al Nasir and North garage). A survey for all those six regions were taken place  and noise measurements  were captured at points  or  near to the  intersections  for a duration of three different periods days per a week  [  Sunday 3rd , Monday 4th , and  Tuesday 5th] of January 2016. The results showed  a  high level of noise pollution and super passing on many occasions to the prescribed levels by Central Pollution Control Board (CPCB) , maximum level noise pollution  value was 94.6 dB(A) in AlWasti region near to the road that leading to Kirkuk university , while minimum level noise pollution  value was 48 dB(A) in AlNasir region. As a result, a noise map zoning was prepared for Kirkuk City for top peak working three days. The prepared noise distribution map will help and could be used as a considerable point for the future during designing projects related to transportations. Also in another hand, the map reflected indirectly the amount of regional air pollutions. High distributed noise pollution zones means a zone of a high air pollutions levels specially Cox and Nox gaseous pollutions.  

scholarly journals The Association between Noise Exposure and Metabolic Syndrome: A Longitudinal Cohort Study in Taiwan

2020 ◽  
Vol 17 (12) ◽  
pp. 4236 ◽  
Author(s):  
Tao Huang ◽  
Ta-Chien Chan ◽  
Ying-Jhen Huang ◽  
Wen-Chi Pan
Keyword(s):  
Metabolic Syndrome ◽  
Regression Models ◽  
Noise Exposure ◽  
Proportional Hazards ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Cox Proportional Hazards ◽  
High Noise ◽  
Proportional Hazards Regression ◽  
Using Data

Metabolic syndrome is becoming more common worldwide. Studies suggest environmental pollution, including traffic noise, might be linked with metabolic syndrome. This study sought to evaluate how noise exposure is linked to the development of metabolic syndrome and its components in Taiwan. Using data from a cohort of 42,509 participants and Cox proportional hazards regression models, the effects of noise exposure on metabolic syndrome and its components were quantified. After adjustment for covariates (age, gender, body mass index, and physical activity), the hazard ratio for metabolic syndrome was 1.13 (95% CI: 1.04–1.22) for medium noise exposure and 1.24 (95% CI: 1.13–1.36) for high noise exposure. Noise exposure was also positively associated with all of metabolic syndrome’s components. This finding suggests noise exposure might contribute to metabolic syndrome and its components. Policies aiming to reduce noise pollution might reduce the risks of metabolic syndrome and its components.

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