Community daytime noise pollution and socioeconomic differences in Chicago, IL

Environmental noise may affect hearing and a variety of non-auditory disease processes. There is some evidence that, like other environmental hazards, noise may be differentially distributed across communities based on socioeconomic status. We aimed to a) predict daytime noise pollution levels and b) assess disparities in daytime noise exposure in Chicago, Illinois. We measured 5-minute daytime noise levels (Leq, 5-min) at 75 randomly selected sites in Chicago in March, 2019. Geographically-based variables thought to be associated with noise were obtained, and used to fit a noise land-use regression model to estimate the daytime environmental noise level at the centroid of the census blocks. Demographic and socioeconomic data were obtained from the City of Chicago for the 77 community areas, and associations with daytime noise levels were assessed using spatial autoregressive models. Mean sampled noise level (Leq, 5-min) was 60.6 dBA. The adjusted R2 and root mean square error of the noise land use regression model and the validation model were 0.60 and 4.67 dBA and 0.51 and 5.90 dBA, respectively. Nearly 75% of city blocks and 85% of city communities have predicted daytime noise level higher than 55 dBA. Of the socioeconomic variables explored, only community per capita income was associated with mean community predicted noise levels, and was highest for communities with incomes in the 2nd quartile. Both the noise measurements and land-use regression modeling demonstrate that Chicago has levels of environmental noise likely contributing to the total burden of environmental stressors. Noise is not uniformly distributed across Chicago; it is associated with proximity to roads and public transportation, and is higher among communities with mid-to-low incomes per capita, which highlights how socially and economically disadvantaged communities may be disproportionately impacted by this environmental exposure.

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Estimation of Spatial Variations in Urban Noise Levels with a Land Use Regression Model

Environment and Pollution ◽

10.5539/ep.v3n4p48 ◽

2014 ◽

Vol 3 (4) ◽

Cited By ~ 13

Author(s):

Sophie Goudreau ◽

Céline Plante ◽

Michel Fournier ◽

Allan Brand ◽

Yann Roche ◽

...

Keyword(s):

Land Use ◽

Regression Model ◽

Spatial Variations ◽

Noise Levels ◽

Land Use Regression ◽

Urban Noise

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Traffic Noise Levels in the City of Banja Luka

Quality of Life (Banja Luka) - APEIRON ◽

10.7251/qol1801020i ◽

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.

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Evaluation of Environmental Noise Pollution (Traffic, Schools, Hospitals) and Noise Perception

ENERGY, ENVIRONMENT & STORAGE ◽

10.52924/ywkd5166 ◽

2021 ◽

Vol 1 (2) ◽

Author(s):

Betul Kasagıcı ◽

Nuray Ates

Keyword(s):

Environmental Pollution ◽

Health Effects ◽

Noise Level ◽

Noise Pollution ◽

Environmental Noise ◽

Environmental Problems ◽

Noise Levels

Nowadays, noise pollution, one of the crucial environmental problems as a result of increase in the population, has caused physical and psychological negativities in people's lives. The increase in the number of vehicles along with the population, the lack of infrastructure in the existing roads, misbehavior of the drivers due to the lack of education lead to an increase in noise pollution. The current study aimed to determine how much noise pollution that people are exposed to in traffic, schools and hospitals in Kayseri, one of the most important industrialized centers in Turkey with a population approximately 1.4 million. The levels of noise pollution averagely varied between 62-72 dBA in the streets and it is observed that the noise level changes depending on the vehicle intense in traffic. The noise levels in schools ranged from 41 to 57 dBA in the morning when window was closed that were higher than the regulation limit. The noise levels in hospitals were between 46 and 58 dBA when window is closed. The results of the survey conducted among a total of 153 people showed that noise was considered as environmental pollution by 98% in residential, 90% in schools and 73% in hospitals. The most noise-related health effects specified by the participants was the headache with 41% followed by frustrated and stressed with 24%

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Impact of Air Transport on the Noise Level in the City of Burgas

E3S Web of Conferences ◽

10.1051/e3sconf/201910104003 ◽

2019 ◽

Vol 101 ◽

pp. 04003

Author(s):

Stela Todorova ◽

Kaloyan Haralampiev

Keyword(s):

Regression Model ◽

Noise Level ◽

Urban Areas ◽

Noise Pollution ◽

Air Traffic ◽

Noise Levels ◽

Monthly Basis ◽

Main Research ◽

Independent Variables ◽

The City

Aviation, as every type of transport, is responsible for a number of negative external effects to the environment. The main goal of this study is to reveal the relation between the noise level in the urban areas near to the Burgas airport and the air traffic. Our main research tasks are: to make a literature review of the problem; to gather data for the noise levels; to gather data for the air traffic; to choose relevant statistical methods and models for the revealing of the relation between the noise level and air traffic; to draw conclusions and to make recommendations about the noise pollution in the vicinity of Burgas Airport. The data are on monthly basis and cover the period from January 2015 to December 2017, i.e. 36 months. In our regression model we use three traffic indicators as independent variables: aircraft movements; passengers and freight. In the established regression model we introduce ‘the time’ as an additional factor, which provides concrete practical advantages. Our results show that two independent variables (aircraft movements and freight) affect the Twenty-four hours average equivalent level of noise due to flights. Aircraft movements are the most important factor and we expect their increasing in the future. This will lead to increased noise levels.

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Spatial Association between Environmental Noise Levels and Occurrence of Children Hearing Impairments in Ibadan Metropolis, Nigeria

Applied Environmental Research ◽

10.35762/aer.2015.37.3.6 ◽

2015 ◽

pp. 79-89

Author(s):

Olusegun Oguntoke ◽

Muideen Olatinwo ◽

Olalekan J Taiwo

Keyword(s):

Noise Level ◽

Public Perception ◽

Spatial Association ◽

Noise Pollution ◽

Environmental Noise ◽

Hearing Impairments ◽

Residential Areas ◽

Noise Levels ◽

Level Meter ◽

Hospital Noise

Reports in the past few decades indicate that Nigerian cities have high noise levels that is claimed to impact the health of residents negatively. The present article therefore examine the rela-tionshipbetween levels of environmental noise in selected residential areas in Ibadan metropolis with varying reported cases of hearing impairments (HI). Data on cases of HI were collected from one hospital; noise monitoring was conducted with the aid of a noise level meter while copies of questionnaire were administered to residents to elicit information on public perception. The distribution of reportedcases of HI among residential areas in Ibadan city showed varying magnitude (p< 0.001). About 75 % of children diagnosed with HI cases were within ages of 4-12 and female children suffered more (53.9 %). Sensorineural and conductive impairments accounted for 88.2 % of all reported HI cases.Monitored noise levels vary significantly among the selected residential area at each of morning, after-noon and evening (p < 0.05). Noise levels at morning and eveningshowed significant correlation with cases of HI reported at each of the 10 selected residential areas (r = 0.81; 0.82). Regression analysis showed that noise level explained 70.1 % of the spatial pattern of HI cases. Residents indicated that their neighbourhoods were noisy, that noise levels were on the increase and that ceremonies and generator use were major sources of noise. An integrated strategy for noise control is urgently required to stem the tide of noise pollution so as to safeguard human health in Nigerian cities.

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An Assessment of Noise Levels in Sylhet City Corporation, Bangladesh

Asian Journal of Environment & Ecology ◽

10.9734/ajee/2019/v9i230089 ◽

2019 ◽

pp. 1-11

Author(s):

Md. Sultan Mahmud ◽

Rony Basak

Keyword(s):

Land Use ◽

Noise Level ◽

Urban Areas ◽

Noise Pollution ◽

World Health ◽

Noise Levels ◽

Pollution Levels ◽

Land Use Types ◽

Health Organization ◽

The City

Noise pollution is a silent villain as it’s quite easy for being ignored by us. Urban areas are more exposed to this deadly agenda as the density of population and their belongings are excessive in there. This study differentiated noise levels of Sylhet City Corporation, a growing city of Bangladesh into different types according to the land use purpose of the city like residential, silent etc. One hundred and sixty-eight noise level readings, taken at 14 different positions during the morning, afternoon, evening, and night of selective weekdays which are categorized as busy days, typical days and weekends were utilized for this research. Results put the average noise level readings in the city centers at between 45 dB(A) and 95 dB (A), dissented from the permissible limits of the World Health Organization (WHO) as well as national standardization organization: Department of Environment (DOE) in all the land use types, with the highest noise pollution levels recorded for transportation, commercial and silent typed areas. The result of the one-way ANOVA test completed where the dependent variable was noise and the independent variable was land use types uncovers a factually huge mean noise levels over the study area (F (4,115) = 9.52, p = 1.1079). Tukey’s HSD method also carried away which showed the uneven difference of noise levels between the land types. The study represents noise pollution auditing, and the immediate needs to control urban noise pollution with convenient and effective policies some of which is recommended at the end of the study.

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An Evaluation of Urban Environmental Noise Pollution in Durres Municipality

WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT ◽

10.37394/232015.2021.17.102 ◽

2021 ◽

Vol 17 ◽

pp. 1106-1113

Author(s):

Marsida Klemo ◽

Osman Metalla ◽

Azem Hysa ◽

Elvis Cela ◽

Abdulla Diku ◽

...

Keyword(s):

Noise Level ◽

Sleep Disturbances ◽

Action Plan ◽

Noise Pollution ◽

Industrial Area ◽

Environmental Noise ◽

Intensity Level ◽

Noise Levels ◽

Night Time ◽

The Republic

Durres is the second most populous place on the Republic of Albania. This paper was focused in the evaluation of noise level at different areas of Durres Municipality which were categorized based on their activities like industrial, commercial and residential. The main purpose of environmental noise monitoring was to assess the situation in Durres Municipality, to value the degree of impact on citizens and to create a database to better address the problems, in order to build an effective action plan to improve the situation in problem areas. Monitoring has two basic objectives, such as: to protect us from noise that hinders and disrupts our daily activity and to protect us in the future from increasing noise levels that would bring concerns to people and quality of the environment. To realize this study was used TESTO 816-1 supply that measures noise intensity level of a certain area. Measurements were carried out in different conditions of humidity and wind velocity, during morning and night time, from February 2019 to December 2020. Duration of each measurement was 15 min. The results of this study revealed that the average equivalent noise level was: i) in the commercial area (during morning time 51.92 dB, during night time 46.8 dB), in the industrial area (during morning time 57.69 dB, during night time 45.31 dB) and in the residential area (during morning time 53.59 dB, during night time 44.46 dB). As a conclusion it was evidenced that the noise levels for all the areas were over the permissible levels of 50 dB (during morning) and for commercial and industrial area were over 45 dB (during night). Also it was concluded that the consequences of these high levels cause moderate and serious annoyance for residents during the day and sleep disturbances (if windows are open) during the night. This paper suggests some improvements to decrease side effects of noise pollution.

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Development of Land Use Regression Model for Seasonal Variation of Nitrogen Dioxide (NO2) in Lahore, Pakistan

Sustainability ◽

10.3390/su13094933 ◽

2021 ◽

Vol 13 (9) ◽

pp. 4933

Author(s):

Saimar Pervez ◽

Ryuta Maruyama ◽

Ayesha Riaz ◽

Satoshi Nakai

Keyword(s):

Land Use ◽

Air Pollution ◽

Regression Model ◽

Urban Areas ◽

Industrial Development ◽

Ambient Air ◽

Ambient Air Pollution ◽

Land Use Classification ◽

Land Use Regression ◽

Air Exposure

Ambient air pollution and its exposure has been a worldwide issue and can increase the possibility of health risks especially in urban areas of developing countries having the mixture of different air pollution sources. With the increase in population, industrial development and economic prosperity, air pollution is one of the biggest concerns in Pakistan after the occurrence of recent smog episodes. The purpose of this study was to develop a land use regression (LUR) model to provide a better understanding of air exposure and to depict the spatial patterns of air pollutants within the city. Land use regression model was developed for Lahore city, Pakistan using the average seasonal concentration of NO2 and considering 22 potential predictor variables including road network, land use classification and local specific variable. Adjusted explained variance of the LUR models was highest for post-monsoon (77%), followed by monsoon (71%) and was lowest for pre-monsoon (70%). This is the first study conducted in Pakistan to explore the applicability of LUR model and hence will offer the application in other cities. The results of this study would also provide help in promoting epidemiological research in future.

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