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 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 Level of noise pollution at different locations in Tangail municipal area, Bangladesh

2014 ◽  
Vol 26 (1-2) ◽  
pp. 29-36 ◽  
Author(s):  
MMM Hoque ◽  
LK Basak ◽  
M Rokanuzzaman ◽  
Sajal Roy
Keyword(s):  
Noise Level ◽  
Noise Pollution ◽  
Heart Beat ◽  
Motor Vehicles ◽  
Noise Levels ◽  
High Noise ◽  
High Noise Level ◽  
The Road ◽  
Common Problems ◽  
Hospital Shopping

The study was carried out to ascertain the level of noise pollution at different locations in Tangail municipal area. For this purpose noise levels were measured at different locations at different periods of the day. At all the locations the level of noise were found to be higher than the acceptable level. The intensity of noise was found lower with increasing distance from the road side. The noise level on the main road near hospital, shopping center and bazars was above the standard level recommended by MoEF. From the survey motor vehicles were found as the main cause of high noise level. The most common problems with high noise level were found to increased heart beat, drowsiness, headache and hearing impairment. DOI: http://dx.doi.org/10.3329/bjsr.v26i1-2.20228 Bangladesh J. Sci. Res. 26(1-2): 29-36, December-2013

scholarly journals Assessment of noise pollution in Haridwar city of Uttarakhand State, India during Kumbh Mela 2010 and its impact on human health

2010 ◽  
Vol 2 (2) ◽  
pp. 293-295
Author(s):  
S. Madan ◽  
Pallavi Pallavi
Keyword(s):  
Human Health ◽  
Noise Level ◽  
Ambient Noise ◽  
Noise Pollution ◽  
Noise Levels ◽  
High Noise ◽  
Minimum Noise

The present study was carried to investigate the noise level at four different locations of Haridwar viz. Singh Dwar, Rishikul, Chandi ghat and Har Ki Pauri during Kumbh Mela 2010. During normal days maximum noise levels were recorded at Chandi ghat i.e. 87.11±0.45 dB (A) in the evening hours and minimum noise levels were recorded at Har Ki Pauri i.e. 60.8±0.89 dB (A) in the morning hours. While during festival days maximum noise levels were at Har Ki Pauri i.e. 88.4 ± 1.65 dB (A) in the evening respectively and Rishikul the least being 54.93±0.53 dB (A) in the morning hours. Noise levels in all the areas were found to be above the ambient noise standard. These high noise levels may have induced headache, annoyance, lack of concentration and other varied effects on human health.

scholarly journals Assessment of noise pollution at various locations of Gorakhpur

2021 ◽  
Vol 13 (1) ◽  
pp. 131-137
Author(s):  
Maharshi Yadav ◽  
Ratnesh Kumar Patel ◽  
Abhishek Yadav ◽  
Gaurav Sharma ◽  
Govind Pandey
Keyword(s):  
Human Activities ◽  
Noise Level ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Low Noise ◽  
Educational Institutions ◽  
Noise Levels ◽  
High Noise ◽  
High Noise Level ◽  
Medical College

Noise pollution is one of the major concerns in big cities as well as in the crowded area of small cites, Gorakhpur is fastgrowing city and has many locations with high noise levels. Various crossroads and intersections have traffic issues this causes high noise level. In this study, three locations were selected for noise level assessment, nearby areas of Gorakhnath Temple, BRD medical college and MMMUT. These locations are educational (silent) and low noise level zone but because they situated near traffic roads, which cause high noise levels around them. In this study outside periphery of educational institutions noise level increases due to traffic. Noise level is found to be high due to large number of human activities.  

scholarly journals Aerosol characterisation including oxidative potential as a proxy of health impact

2019 ◽  
Vol 29 (2) ◽  
Author(s):  
Miroslav Josipovic ◽  
Catherine Leal-Liousse ◽  
Belinda Crobeddu ◽  
Armelle Baeza-Squiban ◽  
C. Keitumetse Segakweng ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Black Carbon ◽  
Fine Fraction ◽  
Health Impact ◽  
Coarse Fraction ◽  
Dry Season ◽  
Wet Season ◽  
Oxidative Potential ◽  
Ionic Content ◽  
Vaal Triangle

This study aimed to characterise aerosols sampled in the vicinity of a major industrialised area, i.e. the Vaal Triangle. It included thedetermination of oxidative potential as a predictive indicator of particle toxicity. Aerosol samples were collated through the cascadefiltering during an eight-month period (12 h over three days in one week). Three size fractions were analysed for organic carbon(OC), black carbon (BC) and oxidative potential (OP), while ionic content was presented as monthly and seasonal concentrations. Thecontinuous measurement of black carbon by an optical attenuation instrument was collated concurrently with cascade filtering. Thecarbonaceous content was low compared to the ionic one. Within the carbonaceous concentrations, the organic carbon was higherthan concentrations of black carbon in both seasons in the ultra-fine fraction; the opposite was the case for the fine fraction, whilethe coarse fraction concentrations of organic carbon in the dry season had higher concentrations than black carbon in the wet seasonand organic carbon in the wet season. The OP tended to increase as the size was decreasing for wet season aerosols, whereas, forthe dry season, the highest OP was exerted by the fine fraction. The ultrafine fraction was the one showing the most contrasting OPbetween the two seasons. Continuous monitoring indicated that the higher BC concentrations were recorded in the dry/winter partof the year, with the daily pattern of concentrations being typically bimodal, having both the morning and evening peaks in bothseasons. Within the ionic content, the dominance of sulphate, nitrate and ammonium was evident. Multiple linear correlations wereperformed between all determined compounds. Strong correlations of carboxylic acids with other organic compounds were revealed.These acids point to emissions of VOC, both anthropogenic and biogenic. Since they were equally present in both seasons, a mixtureof sources was responsible, both present in the wider area and throughout the year.

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 Appraisal of Noise Level Dissemination Surrounding Mining and Industrial Areas of Keonjhar, Odisha: a Comprehensive Approach Using Noise Mapping

2017 ◽  
Vol 42 (3) ◽  
pp. 423-432 ◽  
Author(s):  
Satish K. Lokhande ◽  
Satyajeet A. Dhawale ◽  
Samir S. Pathak ◽  
Rakesh Gautam ◽  
Mohindra C. Jain ◽  
...  
Keyword(s):  
Noise Level ◽  
Sound Level ◽  
Noise Levels ◽  
Night Time ◽  
Noise Mapping ◽  
High Noise ◽  
Sensitive Areas ◽  
Sound Levels ◽  
Directorate General ◽  
Open Cast

Abstract Noise mapping is a well-established practice among the European nations, and it has been follow for almost two decades. Recently, as per guidelines of the Directorate General of Mines Safety (DGMS), India, noise mapping has been made mandatory in the mining expanses. This study is an effort to map the noise levels in nearby areas of mines in the northern Keonjhar district. The motive of this study is to quantify the existing A-weighted time-average sound level (LAeq,T ) in the study area to probe its effects on the human dwellings and noise sensitive areas with the probability of future development of the mines, roads, and industrial and commercial zone. The LAeq,T was measured at 39 identified locations, including industrial, commercial, residential, and sensitive zones, 15 open cast mines, 3 major highways, and 3 haulage roads. With the utilisation of Predictor LimA Software and other GIS tools, the worked out data is mapped and noise contours are developed for the visualisation and identification of the extent and distribution of sound levels across the study area. This investigation discloses that the present noise level at 60% of the locations in silence and residential zone exposed to significantly high noise levels surpasses the prescribed limit of Central Pollution Control Board (CPCB), India. The observed day and night time LAeq, T level of both zones ranged between 43.2-62.2 dB(A) and 30.5-53.4 dB(A), respectively, whereas, the average Ldn values vary between 32.7 and 51.2 dB(A). The extensive mobility of heavy vehicles adjoining the sensitive areas and a nearby plethora of open cast mines is the leading cause of exceeded noise levels. The study divulges that the delicate establishments like schools and hospitals are susceptible to high noise levels throughout the day and night. A correlation between observed and software predicted values gives R2 of 0.605 for Ld, 0.217 for Ln, and 0.524 for Ldn. Finally, the mitigation measure is proposed and demonstrated using a contour map showing a significant reduction in the noise levels by 0-5.3 dB(A).

scholarly journals NOISE ESTIMATION BY USE OF NEIGHBORING DISTANCES IN TAKENS SPACE AND ITS APPLICATIONS TO STOCK MARKET DATA

2006 ◽  
Vol 16 (06) ◽  
pp. 1865-1869 ◽  
Author(s):  
KRZYSZTOF URBANOWICZ ◽  
JANUSZ A. HOŁYST
Keyword(s):  
Stock Market ◽  
Noise Level ◽  
Chaotic Systems ◽  
Nearest Neighbors ◽  
Noise Estimation ◽  
Noise Levels ◽  
High Noise ◽  
Market Data

We present a method that uses distances between nearest neighbors in Takens space to evaluate a level of noise. The method is valid even for high noise levels. The method has been verified by estimation of noise levels in several chaotic systems. We have analyzed the noise level for Dow Jones and DAX indexes and we have found that the noise level ranges from 25 to 80% of the signal variance.

Enhancement of first arrivals using the τ-p transform on energy-ratio seismic shot records

Geophysics ◽  
2012 ◽  
Vol 77 (3) ◽  
pp. V101-V111 ◽  
Author(s):  
Wail A. Mousa ◽  
Abdullatif A. Al-Shuhail
Keyword(s):  
Conventional Method ◽  
Noise Level ◽  
Energy Ratio ◽  
Data Sets ◽  
Robust Method ◽  
Noise Levels ◽  
High Noise ◽  
Seismic Records ◽  
Better Than

We propose a robust method of first-break picking for data sets with high noise levels through the use of the [Formula: see text] transform on energy-ratio seismic records. Using synthetic shot records with various noise levels, we showed that the performance of this proposed method enhances first arrivals, which helps in picking them. This was particularly true when the noise level was high where picking on raw amplitudes completely fails. We also applied the method on two published real shot records, for which first-break picking was difficult. We showed that for one of the shot records our method succeeds in determining first breaks that are consistent with manual picks and better than those obtained from a conventional method. The method can be used to guide better the subsequent careful picking of first arrivals and requires one forward and one inverse [Formula: see text] transform operations. In contrast to methods based on trace-by-trace picking that often fail to pick some traces, the proposed method automatically interpolates missing picks.

scholarly journals Traffic Noise Levels in the City of Banja Luka

2018 ◽  
Vol 16 (1-2) ◽  
Author(s):  
Predrag Ilić ◽  
Dragana Nešković Markić ◽  
Ljiljana Stojanović Bjelić
Keyword(s):  
Noise Level ◽  
Environmental Problem ◽  
Traffic Noise ◽  
Noise Pollution ◽  
Environmental Noise ◽  
Noise Levels ◽  
Great Problem ◽  
Health Institutions ◽  
Banja Luka ◽  
The City

Noise pollution, as a major environmental problem, is present in Banja Luka. The measured values exceeded the level of noise allowed, which is a great problem. Evaluation of the noise levels was carried out in the streets in the area with health institutions. Objectives of this research were to evaluate the environmental noise pollution in the City of Banja Luka due to traffic noise and to compare the measured noise levels in the city with legislation and to establish the connection between noise and the number of vehicles. Correlation between the noise level and number of vehicles was positive and significant during the study period (r=0.89). It is confirmed that, with the increase of the number of vehicle, the noise level increases, i.e. the decrease in the number of vehicle decreases the noise level.

Sign in / Sign up

Export Citation Format

Share Document