Noise pollution

About: Noise pollution is a research topic. Over the lifetime, 4455 publications have been published within this topic receiving 67192 citations.

Residential noise damage costs caused by motor vehicles

Abstract: An estimate of noise damage costs caused by motor vehicles has been performed. The damage calculation is based on the reduction of property values caused by vehicle noise emissions. Noise emission models are used to determine the noise levels emitted by various vehicle types, dependent on speed, volume of traffic on the roadway, and type of housing development that surrounds the roadway. The cost estimation illustrates the large variation in noise damage caused by different vehicle types, operating conditions, and location of the roadway in relation to residential areas.

Towards an Environmental Measurement Cloud: Delivering Pollution Awareness to the Public:

Abstract: Geosensor networks and sensor webs are two technologies widely used for determining our exposure to pollution levels and ensuring that this information is publicly available. However, most of these networks are independent from each other and often designed for specific domains, hindering the integration of sensor data from different sources. We contributed to the integration of several environmental sensor networks in the context of the IDEA project. The objective of this project was to measure noise and air quality pollution levels in urban areas in Belgium using low-cost sensors. This paper presents the IDEA Environmental Measurement Cloud as a proof-of-concept Data-as-a-Service (DaaS) cloud platform that integrates environmental sensor networks with a sensor web. Our DaaS platform implements a federated two-layer architecture to loosely couple together sensor networks deployed over a wide geographical area with web services. It offers several data access, discovery, and visualization services to the public while serving as a scientific tool for noise pollution research. After one year of operation, it hosts approximately 6.5 TB of environmental data and offers to the public near real-time noise pollution measurements from over 40 locations in Belgium.

Air and noise pollution monitoring in the city of Zagreb by using mobile crowdsensing

Abstract: The rapid progress of urbanization is leading to serious air and noise pollution. Therefore, significant research effort is focused on creating a fine-grained pollution and noise maps to identify urban areas with critical negative impact on human health. The traditional measuring methods typically use expensive and static equipment which is not suitable for dynamic urban environments because of the low spatio-temporal density of measurements. On the other hand, the growing popularity of mobile phones, and their technological capabilities, opens a new perspective on citizen-assisted environmental monitoring. In this paper we present a mobile crowdsensing (MCS) solution for air quality and noise pollution monitoring. More specifically, we show a practical experience of a real-world system deployment, from sensor calibration to data acquisition and analysis. Our initial results indicate a correlation between air and noise pollution with higher values during peak hours due to an increased number of vehicles on the streets.

Effect of Road Traffic Noise Pollution in Cuddalore Town: A Case Study

Abstract: The paper suggests that vulnerable institutions like schools and hospitals should be located about 50m away from the roadside unless any special arrangement to alleviate sound is used. Noise measurements were taken at seventeen chosen areas with high population density, heavy traffic, commercial and residential buildings. At each sampling site six readings were taken after an interval of every 45 minutes in June 2012. Average, maximum and minimum values were calculated and compared with standards prescribed by the Central Pollution Control Board. Noise pollution was measured and analyzed and it was noticed that the maximum average of noise level was measured. The major contribution of the traffic noise, towards overall noise pollution scenario, is a well-known established fact. Traffic noise from highways creates problems for surrounding areas, especially when there are high traffic volumes and high speeds. Vehicular traffic noise problem is contributed by various kinds of vehicles like heavy, medium trucks/buses, automobiles and two wheelers. Amongst, noise pollution is an important type, which causes more annoyance and health problems to the human beings. The present work discusses the fundamentals of acoustics and analysis of vehicular traffic noise. The vehicles represent the most important noise source. It was estimated to about 80% from road vehicles. Road traffic noise is one of the most widespread and growing environmental problems in urban areas. The impact of road traffic noise on the community depends on various factors such as road location and design, land use planning measures, building design, vehicle standards and driver behavior. In the study area 17 locations are identified to measure noise level. By using sound level meter noise levels are measured at different peak sessions i.e. morning, afternoon and evening.