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The Noise Levels database has been developed at the Canadian Centre for Occupational Health and Safety for the computerized information system, CCINFO. The database documents measured noise levels from a broad spectrum of industrial settings. Industrial hygienists, noise control engineers, researchers, health and safety committee members, and appropriate government agency personnel are the main intended audience. Noise Levels is a textual‐numeric ‘source’ database of direct measurements, although bibliographic citations are also provided. The data for Noise Levels is gathered from both published and unpublished sources. Each record provides explicit information on the noise source (for example, piece of equipment), the industry, operation associated with the noise production, and the occupational categories. Additional information is provided on the type of noise, exposure duration per day, the presence of engineering controls, and the use of ear protection. Measurement data consists of one or more of the following: Sound Pressure Level (SPL) in dB(A), Time Weighted Average (TWA), Equivalent Continuous Noise Level (ECNL), and the octave band analysis. The primary goals of the database are to encourage sharing of industrial noise data and to promote standardized reporting of noise measurements.

Flight Operational Noise Internationally, noise due to flight operations in the vicinity of airports. Each nation has developed an individual system of assessment and criteria for judging acceptability or probable extents of annoyance arising from the community based on local conditions and experience.

IT is generally conceded that the noise level of our acoustical environment has increased with our social and industrial growth. The increase has been gradual and has generally gone unnoticed or has been accepted. In the main, it can be attributed to the greater use of power, a percentage of which escapes in the form of sound energy. Not only is the number of noise‐producing mechanisms multiplying daily, but the surrounding and supporting structures are becoming lighter in construction and less able to absorb the sound vibrations.

Machine malfunction may be detected from the change in its noise level sensed by the ear or measured by a sound level meter. When various machines run concurrently in a workshop, it is not easy to detect noise change. This paper presents the development of a system of equations relating to the combined noise level at each machine with the individual noise level and the inter‐machine distances. A method is presented to detect a malfunctioned machine by solving a system of equations and a case study is included.

The purpose of this paper is to explore the effect of an electronic noise-monitoring device (NoiseSign) at reducing noise levels in quiet study areas in an academic library.

Surveys and decibel-level measurements were used to measure the perceived and objective noise levels, respectively, in both an intervention and a control area of two major branch libraries. Patrons’ perception of noise was measured with a passive paper and online survey, which asked patrons to rate the current noise level and their desired noise level. The actual noise measurements were collected twice a day with a hand-held decibel reader for 60 seconds and then corroborated after the intervention with automatically logged decibel readings from the noise monitor device in the two intervention areas. The authors conducted one-way ANOVA’s to determine if the results were significant.

The NoiseSign had no statistically significant effect on either actual noise levels or user perceptions of noise in the library. The surveys comments and anecdotal observation of the spaces while doing measurements did reveal that noise in the quiet study areas was not the primary source of complaints.

In spite of many proposed solutions to reducing noise in libraries, there has been very little research in this area. This is the first study to examine the effectiveness of using a noise-monitoring device in reducing noise levels at an academic library.

Nigeria, a prominent country in Sub-Sahara Africa, is plagued with a protracted, erratic and low power supply. The purpose of this paper is to present an experimental investigation of the noise levels and pollutants’ (CO, CO₂ and particulate matter (PM_2.5)) concentrations associated with the prevalent use of diesel-powered generators in the country. It is aimed to provide information on the level of gaseous, particulate and noise pollutants that are related to diesel-powered generators that could assist in policy formulation and create public awareness on the possible health risks.

Diesel-fueled generators (105) with age and installed capacity ranging from 0.5 to 14 years and 10 to 500 kVA, respectively, were engaged in this work at Sango area of Ogun State, Nigeria. Standard measuring instruments were placed at 1 m from the diesel-powered generators to determine the noise levels and concentrations of CO, CO₂ and PM_2.5.

Ranges of 72.6–115.6 dB, 19–198 ppm, 501–5,805 ppm and 221–492 µg/m³ for the noise level, CO, CO₂ and PM_2.5 concentrations, respectively, were obtained. Both the averages and ranges of the noise levels and pollutants’ concentrations were considerably higher than the recommended maximum limits. Thus, this study substantiated the pollution of ambient noise and air because of the operation of diesel-fueled generators. Furthermore, the health risks connected to the exposure to CO and PM_2.5 as implied via the evaluation of the air quality index revealed very unhealthy and hazardous conditions, respectively.

The measurement of the pollutants’ concentrations at the tips of the exhaust pipes of the diesel-powered generators was desirable but could not be achieved using manually logged devices. Nonetheless, adequate pollutants’ concentration data that satisfactorily represent the level of air pollution associated with diesel-fueled generators’ operations were obtained at around 1 m from the exhaust pipes.

The study provided additional knowledge on the levels of noise and pollutants, and the public health risks connected to the operations of diesel-powered generators that will be beneficial to the public and policymakers.

The results revealed a considerably high level of noise and air pollution, and the inherent environmental and public health problems connected to diesel-powered generators’ usage in Nigeria. This could serve as a viable tool for formulating environmental policy and providing the necessary societal awareness in this regard.