Effects Of Noise Pollution Research Articles

Effects of Noise Pollution on Humans Health and Animals

Effects of Noise Pollution on Humans Health and Animals

Medical and health benefits of noise reduction at Intensive Care Units

Introduction: The presence of excessive noise poses a significant risk to the overall well-being and health of individuals. The presence of elevated noise levels within Intensive Care Units (ICUs) has the potential to exert detrimental effects on both the well-being of patients and the healthcare personnel. The aim of this study: This study aims to gather knowledge about the effects of noise pollution on patient’s wellbeing within Intensive Care Units, analyze various investigations around the world and discuss the possible preventive methods of reducing noise and thus sleep disturbances. Materials and methods: This review was based on available data collected in the PubMed database and Google Scholar web search engine using the key words Intensive Care Unit, sleep deprivation, noise pollution Conclusions: Intensive Care Unit noise disrupts patient’s sleep, communication, and increases stress, potentially leading to medical errors and longer recovery times. Addressing this issue is vital, aligning with patient-centered care and holistic therapy trends. Solutions include architectural changes, quieter equipment, staff education, clinical guidelines, and providing earplugs and eye masks for patient comfort. Noise negatively impacts sleep, causing circadian disruptions, cognitive impairments, and health issues. Identifying and mitigating noise sources can significantly enhance patient well-being and treatment outcomes.

Traffic Noise Affects Brazilian Mundo Novo Treefrog Calling Behavior

AbstractAnthropogenic disturbance, including noise, is a major cause of biodiversity decline worldwide. Especially in anurans, the effect of noise pollution is known to have major consequences on their reproduction since acoustic communication is an essential part of this process. In this study, we tested the effect of three levels of traffic noise (55 dB, 65 dB, and 75 dB) corresponding to three different distances from the road (200, 100, and 50 m, respectively) on the Brazilian Mundo Novo treefrog (Boana marginata). The results of the playback experiments showed an effect on call type B. More specifically, there was a decrease in the advertisement call rate, a reduction in the number of pulses, and a lengthening of the interval between pulses, particularly at 65 dB. These findings suggest that at distances of up to 100 m, the masking effect significantly influences acoustic communication on the species. However, a 55 dB stimulus—equal to 200 m from the road edge—did not change the call in this species, suggesting a minimal distance to implement noise-inflicting infrastructures. We recommend that new studies adopt sampling methods from this distance to refine the threshold of the traffic noise effect.

Effects of noise pollution on the residents of Port Harcourt Metropolis

Effects of noise pollution on the residents of Port Harcourt Metropolis

Pre- and postnatal noise directly impairs avian development, with fitness consequences.

Noise pollution is expanding at an unprecedented rate and is increasingly associated with impaired reproduction and development across taxa. However, whether noise sound waves are intrinsically harmful for developing young-or merely disturb parents-and the fitness consequences of early exposure remain unknown. Here, by only manipulating the offspring, we show that sole exposure to noise in early life in zebra finches has fitness consequences and causes embryonic death during exposure. Exposure to pre- and postnatal traffic noise cumulatively impaired nestling growth and physiology and aggravated telomere shortening across life stages until adulthood. Consistent with a long-term somatic impact, early life noise exposure, especially prenatally, decreased individual offspring production throughout adulthood. Our findings suggest that the effects of noise pollution are more pervasive than previously realized.

The Effects of Noise Pollution on the Prevalence of High Blood Pressure and Abnormal Pulse Rate on Workers in select Industries in Nnewi

This study investigates the impact of noise pollution on the prevalence of high blood pressure and abnormal pulse rate among workers in selected industries in Nnewi, Nigeria. Utilizing a cross-sectional design, the research encompassed 250 workers exposed to varying levels of noise pollution. Data on blood pressure, pulse rate, and noise exposure were collected and analyzed using descriptive and inferential statistics. The findings reveal a significant correlation between prolonged exposure to high noise levels and increased instances of high blood pressure and abnormal pulse rates among the participants. These outcomes underscore the critical need for stringent noise control measures and regular health monitoring in industrial settings to mitigate the adverse health effects associated with noise pollution. This research contributes to the body of knowledge on occupational health, emphasizing the importance of creating a safer work environment to enhance workers' wellbeing.

The Effects of Noise Pollution on the Prevalence of Hearing Loss on Workers in Select Industries in Nnewi, Anambra State

The Effects of Noise Pollution on the Prevalence of Hearing Loss on Workers in Select Industries in Nnewi, Anambra State

Traffic Noise and its Impact on Wellness of the Residents in Sambalpur City – a Critical Analysis

Noise is unwanted sound judged to be unpleasant, loud or disruptive to hearing. Like air pollution, noise pollution is one of the serious matters of concern in urban areas. Noise pollution occurs when noise level exceeds certain limit and has deleterious effects on human health and wellness. The major sources of noise pollution are industries, road traffic, railways, airplane traffic and social celebrations. The traffic noise is notably high in cities due to higher density of population, frequent movement of people, good transport system coupled with increasing numbers of vehicles (on road). In this work, the assessments of traffic noise in Sambalpur city is presented. Twelve important locations were chosen for the assessment. Noise contours were drawn to visualize the spreading of traffic noise into its surroundings. At the same time, the effect of noise pollution on wellness of the exposed people was studied. The study shows that the traffic noise level and its effects, are both in an alarming stage in the city.

The effects of aerator noise on the swimming, feeding, and growth of Micropterus salmoides

Aquaculture systems, replete with equipment noise originating from aerators, pumps, feeders, and filtration systems, are known to exert substantial influence on fish behavior and growth. In this research, the focus was directed towards comprehending the impacts of aerator noise on the swimming, feeding, and growth progression of largemouth bass. In the course of a 50-day experimental period, the bass population was segmented into two groups: aerator noise (90.3dB re μPa RMS-1) and ambient noise (70.4dB re μPa RMS-1). The findings indicated discernible disparities in the swimming behavior and feeding between the two groups. Specifically, bass in the noise group maintained greater average angular distance and physical separation from their nearest counterparts than the bass in the ambient group, which were 43.61 ± 1.89° and 85.47 ± 1.72mm for the ambient group and 48.32 ± 0.49° and 97.01 ± 0.57mm for the noise group. Furthermore, the feeding kinetic energy was markedly lower in the noise group as compared to the ambient group. For the first time, the Shannon-Wiener diversity index was leveraged to gauge the diversity of fish swimming behavior, with the results signifying the diversity index of the noise group was 2.69 ± 0.07 higher than that of the ambient group, which was 2.51 ± 0.02. Lastly, the noise group demonstrated compromised growth performance, with a significantly lower average weight as opposed to the ambient group, along with marked variations in the specific growth rate. These findings offer a telling revelation about the profound impacts of aerator noise on the behavioral and growth of largemouth bass, thereby forming a valuable referential base for future research centered on the effects of noise pollution on aquatic organisms.

The Effect of Noise Pollution on Blood Pressure and Heart Rate of Beauty Salon Workers

The Effect of Noise Pollution on Blood Pressure and Heart Rate of Beauty Salon Workers

Discrete wavelet transform based branched deep hybrid network for environmental noise classification

SummaryWith ever growing urbanization, the environmental noise is becoming hazardous. Vehicular traffic, locomotives, heavy machinery in industry, and construction processes are the major sources of noise pollution. It has adverse effects on the health of humans as well as that of the wild life. World Health Organization (WHO) puts noise pollution as the second major cause of illness due to environmental reasons. The effects of noise pollution on the quality of life are usually ignored. Due to this reason it is common, even in the first world countries, to have the WHO's peak noise standards violated in residential areas. Therefore, there is a need to have a real time, portable and easy to replicate, mechanism to monitor the noise sources. In this work, we propose a novel architecture of a deep neural network to classify a 10‐class environmental noise data called URBANSOUND8K. This network is comprised of three components, (1) one dimensional two level Discrete Wavelet Transform (DWT) component, (2) branched component for feature extraction through auto‐encoders, and (3) LSTM and fully‐connected layers based classification component. With all components combined, we call this network DWTNet. By embedding the DWT component as a part of network, we eliminate the need of prior data conversion into spectral and/or spectro‐temporal domains. The efficiency of DWTNet is comparable to the state of the art networks with significantly lower number of trainable parameters. We analyze the contribution of classification accuracy. We further study some of the classification results individually and show that some of the mis‐classifications are actually multi‐class classifications with distributed decision confidence.

Assessment of road traffic noise pollution in Basudevpur – A case study on the sub‐urban area of Bhadrak, Odisha, India

AbstractThe long‐term effect of noise pollution is a serious environmental concern for those living near the road due to numerous anthropogenic activities. A calibrated sound level meter was used to assess the noise levels in a semi‐urban area known as Basudevpur Town (16 squares) in March 2021. A sample of the general public (126) was taken and interviewed using a questionnaire to find out how they felt about noise pollution and its impact on their health. A relationship between demographic characteristics and public health issues was discovered in the current investigation. The ANNOVA test was used to determine the association between noise exposure and the probable impacts of this noise exposure on this town, and the Chi‐square test in SPSS 20.0 was utilized to study the relationships between demographic character and irritation. The study reveals that the noise levels were greater than the CPCB's permissible limit for Indian road conditions. The primary source of noise, according to the study, is road traffic noise. The impact of noise pollution on the public's sleep problem was also analyzed. In order to limit noise pollution and its influence on public health, proper administrative planning is necessary.

Study on the Effect of Noise Pollution on Public Health

Pollution is a phenomenon that acts on the whole environment, its cause being the human factor, also being the one that faces the negative
 effects of these aggressive phenomena, confirmed by the incidence of pathologies of systems in the human body and the presence of both physical and mental imbalance of the body. This paper aims to systematize information on noise pollution in the literature that is as relevant as possible about the current state of noise pollution, its sources, and its effects on the human body. It will also be followed, through a questionnaire-type study, the level of knowledge of the people involved in this study about noise pollution, its effects and the measures to
 be taken to reduce it.

Relation between Noise Pollution and Life Satisfaction Based on the 2019 Chinese Social Survey.

Noise pollution is a leading cause of decreasing well-being of residents in both developed and developing countries. Improving residents’ well-being measured by life satisfaction is a key goal of government policy. Individuals with high life satisfaction usually have positive emotions, life orientation, and codes of conduct, which are positive and beneficial for individuals, families, and society as a whole. In order to supplement relevant research and provide policy suggestions for individuals, government, and societies, this study explores the relationship between noise pollution and the life satisfaction of Chinese residents. Based on data from 4869 observations from the Chinese Social Survey in 2019, the effect of noise pollution on life satisfaction is estimated by using ordinary least squares and propensity score matching methods. The results show that noise pollution has a significant negative effect on Chinese life satisfaction. Moreover, the effect is heterogeneous depending on individuals’ education levels and ages. Finally, residents’ living environment satisfaction is shown to be the potential mechanism by which noise pollution affects life satisfaction.

Effects of Noise Pollution on Zakho University Students at Two Faculty of Science Buildings

Noise is a type of pollution that has a negative impact on human health and well-being. Because of population growth and urbanization, the magnitude and severity of noise pollutionare increasing. This study examines the level of noise throughout Zakho university-faculty of science buildings. Noise levels were measured using a sound level meter at two campus buildings at five different times (9:00 AM –2:00 PM). A total of 180 students (98 females, 82 males) were questioned to collect data. The noise levels were highest at the ground floor of building one were at (11:00AM-12:00PM) and (12:00-1:00 PM), respectively, changing from 60.6 to 73.7 dB at (11:00 AM-12:00 PM) and 63.3-73.8 dB at (12:00-1:00 PM) (12-1:00 PM). These results could be due to students taking a lunch hour after 12:00PM and visiting a café at this site. The most prevalent direct impact of noise on students was feeling annoyed, which affected 23% of students, followed by headache (18%) and so on. Noise has psychological effects on students such as anxiety (6%) and sleep problems (4%) which all have a low percentage. Lastly, memory lapse (2%) and fatigue (3%) impact on students had a lower proportion when compared to other impacts. However, there was 22% of students did not affect by noise.

Effects of Noise Pollution on Mental Health in Pakistan

Effects of Noise Pollution on Mental Health in Pakistan

Quantifying traffic noise pollution levels: a cross-sectional survey in South Africa

Despite the alarming increase in environmental noise pollution, particularly road traffic noise, in developing countries, there seems to be no awareness regarding the long-term impacts of noise, specifically traffic noise, on the health outcomes of individuals exposed to excessive noise. Additionally, there is a dearth of studies on noise and its effects utilising the pollution modelling technique known as Pollution Standard Index (PSI) to analyse the impact of noise pollution on exposed individuals. The aim of this study was to investigate the noise levels commuters are exposed to and to apply PSI to determine the level of exposure. We conducted a cross-sectional study at two taxi ranks, over 28 days. Eighty-four noise measurements were collected using a sound level meter and a dosimeter at different times of the day and month, peak vs off-peak hours and busy days vs quiet days. Data were collected between April and July 2019. We used the Pollution Standard Index to analyse the data. Noise levels were above the permissible commercial noise levels as they fell within the extremely dangerous noise sensitivity zone as determined by the PSI. Furthermore, the noise levels fell below the WHO maximum permissible level of 90 dB. There was no statistical difference between the means of the open and closed ranks. Dosimeter noise level recordings fell within the satisfactory zone as measurements were below 300 PSI, which is considered unhealthy. There is a need to raise awareness on the dangers and effects of noise pollution in developing countries, as their populations are exposed to road traffic noise.

Air and noise pollution effects on air quality in peacock paint industry, Ikot Ekan, Etinan, Akwa Ibom State, Nigeria

Eight sampling locations in the study area were assessed for some air pollutants, level of noise pollution and some meteorological parameters. Portable handheld air monitor was used to measure air pollutants, a sound level meter and anemometer for level of noise and meteorological parameters respectively. Results showed that the highest concentrations of Nitrogen dioxide, Sulphur dioxide, Hydrogen Sulphide and Suspended particulate matter were recorded in indoor II while those for Carbon monoxide and Chloride were recorded in outdoor I. The outdoor locations recorded higher mean noise level and temperature (76.1 dB (A), 30.05°C) than the indoor locations (70.95 dB (A), 27.03°C). On the other hand, the indoor locations recorded higher mean relative humidity (62.8%) than the outdoor locations (48.25%). Significant difference (P<0.05) was observed only in the mean concentration of Chloride in the two environments. The mean concentrations of NO2, SO2, H2S, CO and Cl2 were above the permissible limit of Federal Environmental Protection Agency thus posing environmental risks. Appropriate vehicle emission management should be considered; air and noise pollution control agencies should intervene to reduce the risks associate with these pollutants and improve the air quality of the study area.

Investigation of Fibrous Materials for Low Frequency and High-Frequency Passive Noise Reduction using Transfer Matrix Method

The concern about the adverse effects of noise pollution is enhancing day by day due to fast industrialization. Hence a wide variety of active and passive noise controllers made of natural and synthetic materials are widely used for various types of inevitable noise reduction. The different types of passive noise controllers fabricated using various techniques vary in their microstructure and surface morphology. In turn, they cause a difference in the noise-controlling mechanisms happening inside it, leading to its unique acoustic absorption characteristics. This article uses five different fibers of different fiber diameters to fabricate passive acoustic absorbers of different textures. The frequency response of their acoustic absorption coefficient is tested with the help of impedance tube apparatus using the transfer matrix method. Acoustic properties of coir fiber, basalt fiber, glass fiber, graphene fiber, and carbon fiber are investigated and compared. The present investigation focused on the influence of fiber diameter, the porosity, and the difference in the texture of these passive absorbers on the acoustic characteristics, frequency response of acoustic absorption coefficient, and the frequency corresponding to maximum absorption. The investigation also focuses on fabricating the passive absorbers for low-frequency noise reduction where only the active absorbers are available.

Effects of Noise Pollution from Electric Backup Generators on the Operators’ Health

Noise is a harmful pollutant that leads to an unsanitary environment in urban areas. Electric backup generators, widely used in developing countries, have been one of the most common noise sources. This study identifies workers’ public health in public electrical backup generators in Mosul City, Iraq. Workers’ health was assessed by measuring blood parameters, including Hb, RBCs, WBCs, PLT, and PCV. In addition, other biochemical parameters have been tested, such as; TP, ALB, F.B.S, Bilirubin, Blood Urea, and Cholesterol. General Urine Examination (GUE) was implemented for all samples. The results show a significant change in the blood samples studied compared to the control sample. Hb increased to 15.72±0.9 and 16.12±0.74 g/dl, at noise levels 92.5 and 94.8 dB, respectively, compared to the control group (14.07±0.20 g/dl). RBCs and PLT increased with the high noise level, whereas TP shows a decrease of about 6.43±0.46 and 6.75±0.14 g/dl at 92.5 and 94.8 dB, respectively, compared to the control group. Similarly, F.B.S, blood urea, and total cholesterol were increasing compared to the control group. Depending on the results obtained, up to 30% of the workers tested have severe hearing troubles. This percentage was classified as acute Hypacusis (57%), severe Hypacusis (40%), and complete deafness (3%). Therefore, public electrical backup generators, which were randomly distributed in the public areas of developing countries, are a source of noise pollution.